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A Systematic Review of CPAP Adherence Across Age Groups: Clinical and Empiric Insights for Developing CPAP Adherence Interventions

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Continuous positive airway pressure (CPAP) is a highly efficacious treatment for obstructive sleep apnea (OSA) but adherence to the treatment limits its overall effectiveness across all age groups of patients. Factors that influence adherence to CPAP include disease and patient characteristics, treatment titration procedures, technological device factors and side effects, and psychological and social factors. These influential factors have guided the development of interventions to promote CPAP adherence. Various intervention strategies have been described and include educational, technological, psychosocial, pharmacological, and multi-dimensional approaches. Though evidence to date has led to innovative strategies that address adherence in CPAP-treated children, adults, and older adults, significant opportunities exist to develop and test interventions that are clinically applicable, specific to sub-groups of patients likely to demonstrate poor adherence, and address the multi-factorial nature of CPAP adherence. The translation of CPAP adherence promotion interventions to clinical practice is imperative to improve health and functional outcomes in all persons with CPAP-treated OSA.
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A Systematic Review of CPAP Adherence Across Age Groups:
Clinical and Empiric Insights for Developing CPAP Adherence
Interventions
A.M. Sawyer1,2,*, N. Gooneratne3,4, C.L. Marcus3,5, D. Ofer3,5, K.C. Richards1,6, and T.E.
Weaver7
1 University of Pennsylvania School of Nursing, Biobehavioral Health Sciences Division,
Philadelphia, Pennsylvania, USA
2 Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
3 University of Pennsylvania School of Medicine, Center for Sleep & Circadian Neurobiology,
Philadelphia, Pennsylvania, USA
4 University of Pennsylvania School of Medicine, Division of Geriatric Medicine, Philadelphia,
Pennsylvania, USA
5 The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
6 University of Pennsylvania School of Nursing, Center for Integrative Science on Aging;
Philadelphia, Pennsylvania, USA
7 University of Illinois at Chicago, College of Nursing; Chicago, Illinois, USA
Abstract
Continuous positive airway pressure (CPAP) is a highly efficacious treatment for obstructive sleep
apnea (OSA) but adherence to the treatment limits its overall effectiveness across all age groups of
patients. Factors that influence adherence to CPAP include disease and patient characteristics,
treatment titration procedures, technological device factors and side effects, and psychological and
social factors. These influential factors have guided the development of interventions to promote
CPAP adherence. Various intervention strategies have been described and include educational,
technological, psychosocial, pharmacological, and multi-dimensional approaches. Though
evidence to date has led to innovative strategies that address adherence in CPAP-treated children,
adults, and older adults, significant opportunities exist to develop and test interventions that are
© 2011 Elsevier Ltd. All rights reserved.
*Corresponding Author: Amy M. Sawyer, Ph.D., R.N., University of Pennsylvania School of Nursing, Claire M. Fagin Hall, 307B,
418 Curie Blvd, Philadelphia, PA, USA 19104, 215-573-2391 (office), 215-573-7507 (facsimile), 215-888-2384 (cellular),
asawyer@nursing.upenn.edu.
Co-author Contact Information: Nalaka Gooneratne, M.D., M.Sc., Division of Geriatric Medicine, University of Pennsylvania, 3615
Chestnut Str, Philadelphia, PA 19104, ngoonera@mail.med.upenn.edu, Office: 215 349 5938, Fax: 215 573 8684.
Carole L. Marcus, MBBCh, Pediatric Pulmonology, 9NW50, Main Building, Children’s Hospital of Philadelphia, 34th St. and Civic
Center Blvd, Philadelphia, PA 19104, Phone: 267-426-5842, Fax: 215-590-3500
Dafna Ofer, M.D., 3624 Market Street Suite 201, Philadelphia, PA 19104, Phone: 215-662-7772, Dafna.ofer@uphs.upenn.edu
Kathy C. Richards, Ph.D., R.N., F.A.A.N., University of Pennsylvania School of Nursing, 418 Curie Boulevard Rm 311, Philadelphia,
PA 19104, kathyr@nursing.upenn.edu, 215-573-5362 (phone), 215-573-6464 (fax)
Terri E. Weaver, Ph.D., R.N., F.A.A.N., University of Illinois at Chicago College of Nursing, 845 South Damen Ave. MC 802,
Chicago, IL 60612, teweaver@uic.edu, Office Phone: 312-996-7808, Fax: 312.413.4399
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Author Manuscript
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
Published in final edited form as:
Sleep Med Rev
. 2011 December ; 15(6): 343–356. doi:10.1016/j.smrv.2011.01.003.
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clinically applicable, specific to subgroups of patients likely to demonstrate poor adherence, and
address the multifactorial nature of CPAP adherence. The translation of CPAP adherence
promotion interventions to clinical practice is imperative to improve health and functional
outcomes in all persons with CPAP-treated OSA.
Keywords
Obstructive sleep apnea; Continuous positive airway pressure; patient compliance
Introduction
Continuous positive airway pressure therapy (CPAP), a first-line medical treatment in adults
with obstructive sleep apnea (OSA) and an increasingly common treatment option in
children with OSA, effectively reduces the apnea hypopnea index (AHI), normalizes
oxyhemoglobin saturation, and reduces cortical arousals associated with apneic/hypopneic
events.(1, 2) A significant limitation of CPAP treatment is adherence. After the first
description of CPAP(3), studies of adult patients’ use of CPAP clearly identified adherence
as a problem.(4–6) Similarly, in children treated with CPAP, sub-optimal use of CPAP has
recently been identified.(2, 7) Since these initial reports of CPAP nonadherence, particularly
in adults with OSA, many studies have been conducted to identify salient factors of CPAP
adherence and effective strategies to promote adherence. The purpose of this review is to
summarize the evidence focused on CPAP adherence, identify similarities and differences in
factors associated with CPAP adherence across age groups, and suggest strategies to
promote CPAP use among all patients with a particular focus on children and older adults.
Can CPAP Adherence Be Accurately Measured?
Early studies of patients’ use of CPAP relied on self-report. With the development of
technological advances in the CPAP industry, hour meter readings (i.e., device powered on)
emerged as a more accurate measure of patients’ use of CPAP. Several studies substantiated
that self-reports overestimated CPAP use by approximately 1 hr/night when compared with
objectively measured CPAP use.(4, 8, 9) Although hour meter recordings of use were
superior to self-report, there was no assurance that the device was actually worn by the
patient, at effective pressure, while the machine was powered on. Yet again, technological
advances have now produced CPAP devices that measure night-by-night, mask-on CPAP
application at effective pressure over each 24-hour period. The 10% difference between
machine-on time and mask-on time recorded use illustrates the accuracy of this measure of
adherence.(4) A clinical advantage of this technology is that CPAP adherence data can be
transmitted to practice sites by several vehicles, including modem, smartcard, or web-portal,
depending on the manufacturer. Therefore, early and routine assessment of CPAP use and
treatment response, as recommended by the American Academy of Sleep Medicine, is
possible.(10, 11) Similarly, empiric studies of CPAP adherence have used a true gold
standard for measuring adherence, enhancing our understanding of this complex health
behavior.
What Amount (i.e., Dose) of CPAP Use Constitutes Adherence?
CPAP is routinely prescribed for use during all sleep periods with the clinical expectation
that patients will use CPAP for the duration of sleep. Yet, there is great inconsistency in how
CPAP adherence is defined, both empirically and clinically. Three seminal papers reporting
CPAP adherence rates in adults were published in the mid-1990s.(4–6) These papers
collectively suggested average CPAP use was 4.7 hrs/night in adults in the U.S. and the
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U.K. Although the authors of these papers did not suggest this was an adequate amount of
CPAP use, a common assumption emerged wherein CPAP use of 4 hrs/night on 70% of
nights was generally established as a clinical and empiric benchmark of CPAP adherence.
This benchmark has recently been examined in terms of dose response.
The question of what level of CPAP yields optimal outcomes and defines adherence has not
yet been clearly defined. Several studies have identified that more CPAP (i.e., duration of
nightly use) is likely to result in better outcomes. Stradling and colleagues conducted a
controlled trial, where change in subjective and objective sleepiness as well as self-reported
energy/fatigue was moderately related to hours of therapeutic CPAP use.(12) The same was
not found for the placebo CPAP group, receiving pressures between 0.5 and 1.0 cm H2O.
(12) A linear relationship between outcome and duration of use was demonstrated, with the
best outcome achieved with at least 5 hours/night CPAP treatment.(12) Similarly, Antic and
colleagues identified a treatment dose effect for subjective sleepiness (Epworth Sleepiness
Scale, p < 0.001) among moderate to severe CPAP-treated OSA patients after three months
of CPAP use.(13) Normalization of subjective sleepiness was not consistent across
participants even with equivalent levels of CPAP adherence. Functional outcomes were
responsive to CPAP dose, with greater improvements in Functional Outcomes of Sleep
Questionnaire [FOSQ] Total scores and activity subscale scores with more CPAP use.
Verbal memory and executive function response outcomes were also associated with CPAP
adherence, while objective sleepiness (sleep latency, Maintenance of Wakefulness Test) was
not associated with CPAP dose.(13) In a retrospective study, differences in 5 year survival
rates were shown between those with mean CPAP use < 1 hour/day compared to those using
CPAP 1 – 6 and > 6 hours/day.(14) Zimmerman and associates found that memory
impairment was eight times more likely to normalize with an average of 6 hours/night CPAP
use compared to 2 hours.(15) Normalization of memory values was significantly different
among those using CPAP < 2 hours, 2 – 6 hours, and >6 hours/night.(15)
Weaver and colleagues demonstrated that after 3 months of CPAP treatment, average
nightly CPAP use (i.e., dose) differentially predicted outcome responses dependent on the
outcome examined.(16) As shown in Figure 1, with severe sleep apnea (mean AHI 64.1 ±
29.1 events/hr) and subjective sleepiness at baseline (Epworth Sleepiness Scale [ESS] score
>10), the greatest proportion of individuals normalized their subjective sleepiness rating
(ESS 10) with 4 hours/night CPAP use. Objective sleepiness measured by the Multiple
Sleep Latency Test required 6 hours/night CPAP use to obtain a value of 7.5 minutes in
those whose baseline value was below this cut point. For both of these variables there was a
linear relationship between hours of nightly use and the proportion of individuals who
obtained normal values indicating that further improvement could be obtained beyond these
thresholds. A level of normal functional status, measured by the Functional Outcomes of
Sleep Questionnaire, was achieved with 7.5 hours of nightly use to normalize among the
greatest proportion of participants with abnormal baseline values, but a linear relationship
was evident only up to 7 hours, with no further improvement observed with more use. Based
on the results of these studies that examined different clinical outcomes in relationship to
CPAP dose, more CPAP use results in better outcomes for many CPAP-treated OSA
persons and the historical benchmark of 4hrs/night of CPAP use does not necessarily
effectively promote all health and functional outcomes. Examining the dose response for
varying outcomes among CPAP-treated OSA persons is critical to understanding the
efficacy and effectiveness of CPAP and establishing an empirically-derived benchmark for
defining CPAP adherence.
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What Factors Influence CPAP Adherence?
In order to better understand patients’ decisions to adhere to CPAP treatment, many studies
have been conducted to identify factors that influence or predict CPAP use. These studies
can be categorized as examining the following factors: (1) disease and patient
characteristics; (2) treatment titration procedures; (3) technological device factors and side
effects; and (4) psychological and social factors (Table 1).
Disease and patient characteristics
The earliest studies to examine influential factors on CPAP adherence focused on disease
and patient characteristics. Disease severity, measured as AHI (17–20) and oxygen
desaturation (i.e., nadir and time spent <90% during sleep) (18, 21, 22), and self-rated
subjective sleepiness (17–20), are the most extensively examined factors. Although these
factors are commonly identified as influential on CPAP adherence, the relationships are
relatively weak. When other factors are included, disease severity and sleepiness are less
contributory to CPAP adherence.
The delivery of CPAP is contingent on the patency of upper airway structures. Several
studies have identified a decrease in nasal volume, resulting in increased nasal resistance,
influences CPAP use.(23–26) Acoustic rhinometry measures of nasal dimensions at baseline
and after three months of CPAP use were examined by Li and associates.(23) CPAP use was
significantly lower in those with a smaller nasal cross-sectional area, with CPAP adherence
related to minimal cross-sectional area of the nasal cavity (r = 0.34; p = 0.008), mean area of
the nasal cavity (r = 0.27; p = 0.04), and nasal cavity volume (r = 0.28; p = 0.03).(23) The
minimum nasal cross-sectional area was an independent predictor of adherence, accounting
for 16% of the variance, though subjective nasal stuffiness was not different between
patients with lower and higher CPAP use and was not associated with acoustic rhinometry-
derived nasal dimensions.(23) In a prospective cohort study of 25 newly-diagnosed OSA
patients, Morris and colleagues measured acoustic rhinometry at baseline (i.e., at diagnostic
polysomnogram) and examined CPAP adherence at 18 months.(25) Forty-eight percent
(12/25) were not tolerant of CPAP (i.e., self-reported use < 4hrs/night), with the majority of
those patients (91.6%) not using CPAP at all after 18 months. CPAP adherence was
associated with the degree of obstruction at the inferior turbinate (p = 0.03). Using receiver
operating characteristic analysis, acoustic rhinometry cross-sectional area at the inferior
turbinate of < 0.6 cm2 had a sensitivity of 75% and specificity of 77% for differentiating
CPAP intolerance in this sample.(25) Initial acceptance of CPAP may also be influenced by
nasal resistance. In participants with an AHI > 20, those who rejected CPAP after initial
exposure (brief nap and titration night) had higher nasal resistance than those who accepted
CPAP (p = 0.003).(24) With increased nasal resistance, the odds of rejecting CPAP were
almost 50% greater for every increase of 0.1 Pa/cm3/s of nasal resistance.(24) Nasal
anatomy, but not necessarily subjective nasal complaints, may be influential on CPAP
adherence as is suggested by these preliminary studies.
Few studies have examined depression and mood as influential on CPAP adherence, yet
psychological disposition may be an important consideration among adults with CPAP-
treated OSA. Although depression and/or low mood at diagnosis/treatment initiation has not
been identified as influential on CPAP use, (27, 28) preliminary studies have identified
patients’ perceptions of symptoms, including change in symptoms with CPAP treatment,
and patients’ perceptions of experiences of side effects, differ among adults with and
without depression (29) and Type D (distressed) personality (30) which may in turn
influence CPAP adherence. Improved depressive symptoms on CPAP treatment predicted
daytime symptom improvement with CPAP use (r = 0.54, p = 0.0001) while more severe
baseline depressive symptoms was not associated with daytime symptom improvement (r =
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0.19; p = 0.17).(29) Similarly, Brostrom and colleagues identified adults with OSA and
Type D personality (n=72), a combination personality type of negative affectivity and social
inhibition, perceived higher frequency and severity of CPAP side effects (p < 0.05–0.001)
and demonstrated lower objectively measured CPAP adherence (p< 0.001) than adult OSA
participants without Type D personality (n=175). Future research is needed to further
describe the influence of mood, depression, and personality type on CPAP adherence and
explore such relationships in terms of moderators/mediators that may guide the development
of adherence interventions among adult OSA patients with concomitant low mood and/or
psychological disorders.
There are several studies that have examined race as influential on CPAP adherence, all of
which have reported lower CPAP adherence in African American than Caucasian CPAP
users.(31–33) Platt and colleagues not only reported differences in adherence between the
groups, but also examined other salient factors that may influence these differences in
adherence.(32) In a large, retrospective cohort study among veterans with CPAP-treated
OSA (n=266), adherence to CPAP was associated with a census-derived neighborhood-level
socioeconomic status index, independent of other patient and disease characteristics,
including race.(32) This novel finding suggests that socioenvironmental factors are
important in terms of disparate outcomes among CPAP-treated OSA patients. From a
clinical perspective, this study highlights the need for individualized considerations for
initiating and managing CPAP treatment with diverse patient groups. Adherence outcomes
for other race and ethnic groups have not been studied and are needed to understand the
implications of the currently published studies in the diverse OSA population.
Treatment titration procedure
With increasing demands for sleep diagnostic services, positive airway pressure devices
with titration capabilities have emerged and are increasingly common in clinical practice. A
meta-analysis of ten studies comparing auto-titrating and standard PAP devices identified no
significant differences in adherence between the two modalities.(34) Only age, not mean
CPAP pressure or differences in auto-titrating and standard PAP modalities, was
significantly associated with adherence differences, with younger participants favoring auto-
titrating PAP to CPAP.
Two randomized controlled trials comparing auto-titrating PAP and CPAP also suggest
specific OSA patients may achieve better adherence to treatment if treated with auto-
titrating PAP.(35, 36) A randomized, single-blinded, parallel crossover study of 46 subjects,
each receiving 2 months of CPAP and auto-titrating PAP in random order, identified no
difference in adherence between the two treatments.(35) However, there were differences in
reported side effects, with fewer adverse effects reported with auto-titrating PAP. Among all
subjects who reported any side effect, CPAP adherence was greater in auto-titrating mode as
compared with standard mode (median PAP hrs/night 4.65 v. 4.51, respectively, p < 0.001).
Massie and colleagues conducted a single-blinded, crossover trial of patients requiring
CPAP pressures > 10 cmH2O, randomly assigning patients to CPAP or autotitrating PAP for
six weeks.(36) Although no differences between groups were found in the number of nights
CPAP was applied, duration of use was significantly higher in the auto-titrating CPAP group
(306 ± 114 minutes/24 hours versus 271 ± 115 minutes/24 hours, p<0.005). Based on these
studies, adherence outcomes may be enhanced with auto-titrating CPAP for certain
subgroups, including patients with persistent side effects on CPAP, those needing higher
CPAP pressure for effective reduction of the AHI, and younger patients.
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Technological device factors and side effects
Approximately two-thirds of CPAP users experience side effects, though side effects have
not been shown to be significantly influential on CPAP adherence.(37) Yet, the amelioration
of CPAP side effects has motivated the development of comfort-related technological
advances in CPAP equipment. These technologies include nasal and face mask innovations,
humidified systems, and pressure modality add-on options. Though patients commonly
express concerns about mask comfort and mask-related side effects, relatively few studies
have critically examined the effect of mask selection, fit, leaks, and mask changes on CPAP
adherence outcomes.(38–41) The trials conducted to date do not suggest CPAP mask
interface at the outset of treatment significantly influences CPAP adherence.(38–41) Studies
of mask-interface types in both CPAP-naïve patients and in those who fail to adhere to
treatment are needed. Similarly, systematically examining patient preference, mask fitting
procedures, and mask changes over time and the influence of these factors on CPAP
adherence are needed.
To examine the common side effect of nasal/pharyngeal dryness, Massie and colleagues
conducted a randomized crossover trial comparing heated and cold pass-over humidity with
a 2-week washout period (i.e., no humidity) between humidity exposures as influential on
CPAP adherence in a group of 38 newly diagnosed OSA subjects.(42) No differences were
found in CPAP adherence between the groups using heated versus cold passover humidity.
Those exposed to heated humidity compared to no humidity (i.e., washout period) used
CPAP more (5.52 hrs/night v. 4.93 hrs/night; p= 0.008). Seventy-six percent of subjects
preferred heated humidity while associating its use with greater satisfaction (p< .05) and
feeling more refreshed in the morning (p=0.005). Neill and associates found similar results,
except they did not find that humidification affected satisfaction with the treatment.(43)
Another randomized controlled trial examining the effects of CPAP heated humidity on
adherence, sleepiness, quality of life, and CPAP side effects included 98 subjects with
moderate to severe OSA, randomized to CPAP with heated humidity or without humidity
(control).(44) There were no significant differences between the groups for CPAP
adherence, sleepiness, quality of life, or total side effects. It is possible that humidified
CPAP delivery systems may be beneficial in a subset of patients, likely those with dry
oronasal complaints at the outset of treatment.
In an effort to promote comfort during exhalation on CPAP, flexible pressure was
developed. Flexible pressure permits the patient to select from different early expiratory
pressure settings, reducing the airway pressure during early expiration with return to
prescribed pressure at the end of expiration when airway collapse is most likely to occur. A
cohort study examining the effect of flexible pressure on CPAP adherence, treatment
outcomes, and attitudes toward CPAP included a CPAP-naïve convenience sample assigned
to standard CPAP (n=41) or CPAP with flexible pressure (n=48).(45) Three month
outcomes were measured. The flexible pressure group had higher CPAP use for the entire
study period and demonstrated relatively stable rates of use (hrs/night over 12 weeks) as
compared with the standard CPAP group. Since this first published study, larger studies
have examined flexible CPAP compared with standard CPAP, identifying no differences in
overall CPAP adherence among patients newly-initiated on CPAP.(46, 47) However, in
patients demonstrating poor adherence with CPAP treatment, flexible pressure may be an
add-on option to enhance overall adherence. In a randomized controlled trial wherein low
adherers (i.e., < 4hrs/night) were identified in an open arm phase, patients had significantly
higher CPAP use on flexible CPAP pressure as compared to their initial 3 months of use on
standard CPAP (3.40 ± 1.64 vs. 2.81 ± 0.97, respectively; p = 0.04).(46) Although flexible
pressure may not significantly influence adherence to CPAP in all patients, those
experiencing difficulty with CPAP may benefit from the addition of flexible pressure.
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Finally, though more common side effects of CPAP do not influence adherence,
claustrophobia may be a unique consideration. Patients’ initial acceptance of CPAP may be
lessened by concerns about claustrophobia, as Weaver and colleagues identified that
approximately half of newly diagnosed patients stated that they would not use CPAP if they
felt claustrophobic in a study of OSA and cognitive perceptions.(48) In a prospective study
examining claustrophobia as influential on CPAP use, Chasens and colleagues found
significant differences in baseline claustrophobic scores on the Fear and Avoidance Adapted
Scale (a measure of claustrophobia) between those who had < 2 hours, 2 – 5 hours, or 5
hours of nightly CPAP use.(49) With persistent use of CPAP over three months,
claustrophobic scores decreased compared to baseline for the total sample, significantly for
those who used CPAP 5 hrs/night.(49) It is likely that claustrophobia tendencies may deter
some patients from using CPAP at the outset of treatment but with persistent use of CPAP,
claustrophobia may improve and not necessarily lead to nonadherence.
Psychological and social factors
There is a growing body of literature examining psychological and social factors that
influence CPAP adherence. Studies examining these factors have illuminated the multi-
factorial nature of CPAP adherence and have substantially contributed insight to the
development of interventions to promote CPAP adherence.
Several of the earliest studies of psychological factors and CPAP adherence were theory-
derived and designed to examine these factors pre-treatment (i.e., baseline) and after short-
term CPAP use (i.e., 1 week of use).(28, 48, 50, 51) The factors of interest include risk
perception of disease, treatment outcome expectancies, self-efficacy or the belief in one’s
own ability to use treatment even when faced with challenges, coping mechanisms used in
challenging situations, and barriers/facilitators with treatment including knowledge, social
support, and common treatment-related experiences. With the development and testing of
the Self-efficacy Measure in Sleep Apnea (SEMSA), Weaver and colleagues identified that
patients’ perceptions of risk related to the OSA diagnosis were commonly inaccurate, not
associating their OSA diagnosis with difficulty concentrating, being depressed, falling
asleep while driving, having an accident, or having problems with sexual performance or
desire.(48) Although some patients realized the benefits of using CPAP, only 66% attributed
this therapy to being more alert and only 53% linked CPAP to improved sexual performance
and desire.(48) Patients identified important barriers to using CPAP that lessened their
confidence in using the treatment including nasal stuffiness, claustrophobia, and disturbance
of their bed partner.
Employing the SEMSA in studies of influences on CPAP adherence, both Baron(52) and
Sawyer(53) identified self-efficacy and outcome expectancies as important factors. In a
recent preliminary prospective repeated-measures study of self-efficacy, daily subjective
responses to CPAP, and CPAP adherence, Baron identified self-efficacy (i.e., confidence in
ability to use CPAP when faced with difficulties), along with AHI, as important moderators
in the relationship of daily perceived response to CPAP, including affect, sleepiness, and
fatigue, and three month CPAP adherence.(52) Outcome expectancies (i.e., expectations for
particular responses to CPAP treatment), in addition to AHI and self-efficacy, moderated the
relationship between three month CPAP use and daily response in affect and sleepiness/
fatigue. Notably, higher outcome expectancies were associated with less improvement in
daily perceived sleepiness/fatigue, which may indicate unrealistically high expectancies for
improvement were not met with CPAP treatment.(52) This study, though preliminary in
nature, suggests cognitive perceptions are significant contributors to daily perceived
responses of affect and sleepiness to CPAP and adherence. In a prospective, longitudinal
study of veterans newly-initiated on CPAP treatment (n=66), Sawyer’s group identified self-
efficacy, measured after disease- and treatment-specific education and after one week CPAP
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use is significantly influential on 1 week and 1 month CPAP use.(53) Baseline cognitive
perceptions were not found to influence CPAP adherence.(53) These findings, combined
with Baron et al.’s findings,(52) suggest that cognitive perceptions of OSA and CPAP are
formulated in the context of receiving patient education about the disease and treatment and
during early experiences on CPAP and emphasize the importance of assessing/guiding
patients’ formulation of accurate outcome expectancies to promote CPAP adherence.
In other studies of disease and treatment cognitive perceptions, pre-treatment measures of
risk perception, outcome expectancies, self-efficacy, and decisional balance also did not
influence CPAP adherence.(50, 51, 54) However, after 1 week of experience with CPAP,
these variables were influential on short- and longer-term (i.e., 3 months) CPAP adherence.
Not only do cognitive perceptions influence CPAP adherence, but also coping processes.
Patients’ coping styles with challenging situations (active versus passive) have been shown
to be associated with CPAP adherence in a descriptive correlation study wherein 23 CPAP-
naïve subjects with moderately severe OSA completed measures of depression, anxiety,
stress, anger/hostility, social support, social desirability, and coping prior to treatment.(28)
Coping processes, measured by the Ways of Coping scale, was the only variable related to
CPAP adherence at 1 week (r = 0.61; p = 0.004). Active, but not passive, coping contributed
to 16% of the variance in CPAP adherence, with higher active Ways of Coping scores
associated with elevated rates of CPAP use. The active coping styles, including confrontive
coping or aggressive efforts to alter the situation and planful problem solving (i.e., deliberate
problem-focused efforts to resolve problem), were most explanatory of CPAP adherence.
(28)
Collectively, these studies suggest that patients who experience difficulties and proactively
seek solutions to resolve problems (active coping) are more likely to be adherent than those
who use passive coping styles, though state versus trait components of coping during early
CPAP use have not been specifically examined. Further, beliefs (i.e., cognitive perceptions)
about OSA and CPAP formed with patient education and in the early treatment period and
patients’ confidence in their ability to use this therapy influence CPAP use. Two recently
published qualitative studies further confirm these findings.(55, 56) Employing a semi-
structured interview based on the health belief model, investigators found that patients who
discontinued treatment after 6 months identified few benefits of using CPAP, did not have
established treatment expectations, identified many drawbacks, and did not view OSA as a
health problem.(55) Similarly, among newly-diagnosed OSA patients who were interviewed
immediately post-diagnosis and after the first week of treatment, Sawyer and colleagues
identified significant differences between adherers and nonadherers to CPAP that poignantly
suggest the importance of psychological and social factors in adherence outcomes (Table 2).
(56) These studies, examining the contextual experiences of being diagnosed with OSA and
treated with CPAP, are consistent with the earlier studies that indicate the critical role of
cognitive perceptions, particularly with treatment experience, in CPAP adherence.
Social factors have also been identified as important to CPAP patients’ decisions to use
CPAP. Lewis and colleagues found that CPAP users living with someone had higher use
than those who lived alone.(27) Russo-Magno found that older men who were adherent to
CPAP were more likely to have attended a CPAP education support group than those who
were nonadherent (95% vs. 54%, respectively; p=0.006).(57) The bed partner’s role in
patients’ decisions to adhere has also been found to be of importance. McArdle examined
the impact of the bed partner’s sleep quality and overall quality of life on the patient’s
adherence after one month of objectively monitored treatment (n=23 dyads).(58) Subjective
sleep quality and quality of life of patients’ partners were evaluated before treatment and
after one month of receiving CPAP or a tablet placebo in a randomized control trial. Prior to
treatment the bed partners reported poor sleep quality and impaired daily functioning.
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Although there were no differences in objective sleep quality between the two treatment
groups, partners of patient’s who had received active CPAP, reported better sleep quality (p
= 0.05) with less sleep disturbance (p = 0.03). The improvement in the bed partner’s sleep
quality was positively related to the patient’s CPAP use (r = 0.5, p = 0.01).
Not only is the presence of social support and influences of the bed partner important to
patients’ use of CPAP, but also spousal involvement in patients’ CPAP experience and use.
Baron and colleagues conducted a prospective repeated measures study including thirty-one
OSA patients and their spouses.(59) Daily measures of spouse involvement in CPAP,
including pressure to use the treatment, collaboration with treatment problem-solving, and
support, were collected over 10 days beginning within the first week of CPAP treatment.
CPAP use was self-reported at 10-days (n=31) and three months (n=20). Although
collaboration and spousal support were not significantly influential on CPAP adherence in
this preliminary study, spousal pressure to use CPAP was negatively influential on three
month CPAP use ( 0.55, p < 0.05). Sawyer and colleagues identified social influences
within close proximity (i.e., daily interactions providing support, assistance with trouble-
shooting and observing positive responses to CPAP in the patient) are seemingly positive
influences on patients’ commitments to CPAP, though the absence of such influences do not
necessarily serve as barriers to CPAP use.(56) These studies suggest that CPAP use is
influenced by the social environment and includes those social relationships within close
proximity to the patient.
Over the past 25 years, studies examining factors that influence CPAP adherence have
provided insight to adherence behaviors and suggest opportunities for adherence-promoting
interventions, particularly among persons who initially accept CPAP treatment for OSA.
Disease and patient factors, technological and side effect factors, and psychological and
social factors are all influential on patients’ decisions and commitments to use CPAP and
provide opportunities for designing and testing interventions to promote CPAP use. It is
noteworthy, however, that future studies of CPAP adherence should also address salient
differences among those who initially accept CPAP and those who initially reject the
treatment, adherence descriptions for those who use alternative treatment options prior to
CPAP (i.e., surgical, weight loss with persistent OSA), and CPAP adherence across varied
sub-groups of particular interest (i.e., in persons with hypertension, previous cardiovascular
accidents, newly-diagnosed diabetes mellitus). Studies that address these gaps in our current
knowledge and practice will further inform interventions to promote CPAP adherence in
particular segments of the OSA population.
What Interventions Promote CPAP Adherence?
Recognizing the importance of adherence to CPAP in terms of health and functional
outcomes in the OSA population, there is a growing body of literature reporting the effect of
interventions on CPAP adherence. Strategies that have been tested are broadly categorized
as educational, technological, psychosocial, pharmacological, and multi-dimensional (Table
3). Although some of the interventions have been effective in improving CPAP use, the
clinical applicability and cost-effectiveness of any intervention must also be carefully
examined. To date, few studies have incorporated these outcomes in their designs. As the
discipline moves forward to test the efficacy of CPAP adherence promotion interventions,
the effectiveness must also be examined in terms of clinical utility, patient acceptance, cost
benefit ratio, and resource utilization. CPAP adherence interventions will then be
translational and commonplace in clinical practice, importantly addressing the American
Academy of Sleep Medicine’s standard for management of the early period of CPAP
treatment and recommendations (i.e., consensus) for patients’ with inadequate or suboptimal
CPAP adherence.(10)
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Educational strategies
Intervention studies examining the effect of patient education on CPAP adherence include
varied delivery procedures. To date, educational strategies have not yielded significant
improvements in adherence outcomes. Yet, patient education is recognized as a standard of
care in the treatment of OSA patients (10) and likely imparts influence on other important
factors in patients’ decisions to accept and use CPAP treatment.(53) As has been suggested
by Bandura, education alone is not likely an independent influence on health behaviors (i.e.,
CPAP adherence), but it is an essential part of other domains that are critical to accepting
and committing to the behavior.(60)
The largest clinical trial (n = 112, severe OSA) to test an educational intervention to
promote CPAP adherence compared four strategies.(61) The conditions included: (1)
reinforced education by both prescriber and homecare provider; (2) reinforced education by
prescriber and standard care by the homecare provider; (3) standard education by prescriber
and reinforced education by homecare provider; and (4) standard education by both the
prescriber and the homecare provider, the control. Compared to standard education,
reinforced education interventions were delivered with increased frequency and included
expanded explanations and demonstrations. CPAP adherence, measured at three, six, and 12
months was not significantly different between intervention groups and the control group.
The average adherence for all groups at three and six months was 5.6 hrs/night and at twelve
months was 5.8 hrs/night. The inclusion of relatively few nonadherers, indicated by
relatively high adherence at three and six months, may have contributed to a ceiling effect.
Applying a variety of educational strategies (i.e. video, demonstration, discussion) in a pre-
post (pre-experimental) study of 35 severe OSA patients who had been on CPAP at least six
months, patients completed a single-night of in-hospital CPAP titration polysomnogram
followed by a one-day educational program with subjects and their spouses.(62) Baseline
CPAP adherence was 4.4 ± 0.3hrs/night and increased to 5.1 ± 0.4 hrs/night at three months
(non-significant). This pilot study, likely underpowered to detect differences in CPAP
adherence, included an educational intervention that was extensive, theoretically-based, and
labor-intensive. Employing this strategy in a larger trial, possibly with CPAP-naïve patients,
and including measures of cost-effectiveness should be addressed in order to fully
understand the effect and utility of this intervention.
In a more abbreviated education intervention, a 15-minute video program that included the
definition of OSA, symptoms of OSA, information about CPAP, the sensation of wearing
CPAP, and benefits of using CPAP, was tested.(63) Mild OSA participants were randomized
to the experimental condition (n = 51; mean AHI 9.6 events/hr) or control condition
consisting of initial clinical evaluation and a set of questionnaires (n = 49; mean AHI 8.9
events/hr).(64) CPAP use, measured as machine-on time, for participants who returned for a
4-week follow-up visit, was not associated with the intervention, though there was a
significant loss of data at follow-up.(64) The rate of follow-up, however, was associated
with video education, with 72.9% of experimental group versus 48.9% of control group
returning for follow-up (Χ2 = 5.65, p < 0.02). The video education program may reduce
attrition at clinical follow-up, yet it is not clear that CPAP adherence improves with this
educational strategy.
From this small group of studies, education interventions are minimally effective in
promoting CPAP adherence. Interestingly, no studies of educational interventions have
measured the mediating variable of knowledge. It is assumed that by providing education to
patients, knowledge is enhanced which then influences adherence to CPAP. Future studies
of educational interventions should consider this caveat and examine knowledge as a
potential mediator or moderator for the outcome of CPAP adherence.
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Technological strategies
Intervention strategies have emerged that capitalize on not only electronic formats of CPAP
use data, but also telemedicine technologies. Recently, several investigators have applied
telecommunications methods such as computerized telephone systems (65–68) and/or
wireless telemonitoring (69) or computerized informational systems (70) to influence
patients’ use of CPAP. DeMolles’ group first tested a telephone-linked communication
device (TLC) plus usual care compared with usual care alone among CPAP- naïve patients
with severe OSA (15 participants per group).(67) The TLC technology functioned as a
monitor of CPAP use, educator, and counselor with pre-programmed automated responses
delivered to patients in the intervention group based on their own responses to telephone-
delivered questions and their CPAP adherence record. Weekly calls were patient-initiated
starting on day three of treatment for two months. Though this pilot study did not reveal
statistically significant differences between the groups for CPAP adherence (2 month CPAP
use, TLC 4.4 ± 3.0 hrs/night vs Usual Care 2.9 ± 2.4 hrs/night, p = 0.076), the study has
since been replicated in a much larger randomized control trial (n=250).(68) With weekly
calls by patients during the first month of CPAP and monthly thereafter for 12 months, the
TLC intervention group’s median CPAP use (n=124) at six months was 2.40 hrs/night and
2.98 hrs/night at 12 months compared with the attention control group’s median CPAP use
(n=126) at six months 1.48 hrs/night and 0.99 hrs/night at 12 months. In a final generalized
estimating equation model after imputation for missing data, the intervention effect was
significant (1.71 hr/night; 95% Confidence Interval 1.17–2.47; p=0.006). To illuminate the
intervention factors that were influential on outcomes, the investigators’ mediation analysis
identified CPAP self-efficacy and decisional balance indices were significantly important.
(68)
Enrolling experienced CPAP users who were identified as nonadherent to treatment, Smith
and colleagues tested a telehealth intervention (n=10) compared with a placebo-telehealth
condition (n=9) and found higher CPAP use at 12 weeks for the intervention group (Χ2 =
4.55, p = 0.03).(66) Stepnowsky (69) examined the effect of telemonitoring CPAP use with
clinical pathway-defined responses to a priori defined nonadherence while Taylor (70)
tested the effect of a computer-based “Health Buddy” that provided internet-based
information, support and feedback for common challenges with CPAP. Both identified no
statistical differences between intervention and control groups for CPAP adherence. These
pilot studies, combined with Sparrow’s recently published randomized controlled trial,(68)
suggest that telehealth interventions may be highly effective and possibly more cost-
effective than other labor-intensive interventions. Replication studies in large randomized
control trials are needed to define the effectiveness and utility of the strategies for promotion
of CPAP adherence. As social support is a significant influence on CPAP adherence, this
type of intervention may be most effective among those CPAP-treated OSA patients without
proximate social support.
Psychosocial strategies
Targeting psychological constructs that influence adherence, several studies have employed
cognitive behavioral therapy (CBT) as intervention strategies with some success.(71–73)
The earliest study to examine a CBT intervention was a pilot randomized placebo-controlled
trial in older adults (age 63.4 ± 4.5 years) with severe OSA, naïve to CPAP.(73) The
intervention group received 2–45 minute sessions, one-on-one, that provided participant-
specific information about OSA, symptoms, cognitive testing performance, treatment
relevance, goal development, changes in symptoms with CPAP, troubleshooting advice,
treatment expectations, and treatment goal refinement. There were no differences in short-
term CPAP use (i.e., 1 and 4 weeks). At 12 weeks, the experimental group used CPAP for
3.2 hours more than the control group with a large effect size (d=1.27). The results of this
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pilot study suggest that CBT interventions may effectively address CPAP use over time in
older adults.(73) In a larger, randomized controlled trial of 142 middle-aged severe OSA
patients, the same intervention strategy was applied focusing on education to promote self-
efficacy and decisional balance compared with motivational enhancement therapy and
standard care.(71) Interventions were delivered after one week of CPAP use. Both
motivational enhancement therapy and education groups had lower discontinuation rates
over the 13 week protocol than the standard of care group.
Richards and colleagues examined the effect of a CBT intervention delivered in a group
setting in a study of 100 middle-aged adults with moderately severe OSA randomized to the
intervention (CBT; n = 50) or the control condition, treatment as usual (n = 50).(72) The
CBT intervention, delivered in small group sessions of participants and spouses after
diagnosis and before home CPAP treatment initiation, aimed to correct distorted beliefs,
promote a positive perspective towards CPAP, and enhance CPAP knowledge. Acceptance
or “uptake” of CPAP treatment was greater for the intervention group compared with usual
care (p=0.002). The intervention group also exhibited higher CPAP adherence both at 1
week and 1 month than the control group (5.90 hrs/night v 2.97 hrs/night, p < 0.0001; 5.38
hrs/night v 2.51 hrs/night, p < 0.0001, respectively). Importantly, the investigators also
examined the psychological constructs of risk perception, outcome expectancies, self-
efficacy and social support after the intervention or control exposure and prior to treatment
commencement. Self-efficacy and social support were higher in the CBT group than the
control condition (4.20 ± 0.72 v 3.6 ± 0.9; p < 0.001; 4.43 ± 0.81 v 3.97 ± 0.88; p < 0.008,
respectively). Of note, spousal attendance in CBT intervention was not influential on CPAP
use rates at 28 days, yet participants in the intervention group identified higher social
support than those in the control condition which may suggest the significance of starting
CPAP with a “cohort” of other OSA patients having similar contextual experiences.
These studies suggest that targeting psychosocial factors with interventions to promote
CPAP use are likely effective. Future work in this area is needed to understand the utility
and acceptability of these interventions in clinical practice and to identify if group and
individual interventions are equally efficacious.
Pharmacological strategies
Lettieri and colleagues examined the effects of a two- week course of eszopiclone on CPAP
adherence in a randomized, placebo-controlled study of 160 adults starting CPAP therapy.
(74) They noted an increase in CPAP usage of 3.57 hours/night versus 2.42 hours/night in
the eszopiclone group over a 6 month follow-up period (p=0.005). Study participants were
allowed to request sedative-hypnotics during an open-label period starting on day 30: 31%
in the placebo group and 19% in the eszopiclone group requested sedative-hypnotics
(p=0.084); the mean duration of use was 9.7 days (in the 5 month open-label period) and
was similar between groups. Adverse events were similar between study groups. While
promising, these findings suggest that additional research is warranted to assess the effects
of pharmacologic agents on CPAP adherence.
Multidimensional strategies
Intervention strategies that are comprehensive in nature address the complex and inter-
related factors that importantly influence CPAP adherence. Hoys’ group tested a
comprehensive intervention, comparing intensive support with standard support in a
randomized controlled trial of 80 newly-diagnosed severe OSA patients.(75) Standard
support was based on their usual care for newly diagnosed OSA patients and included verbal
explanation for CPAP treatment, a 20-minute educational video, a 20-minute acclimatization
to CPAP during waking hours, one-night CPAP titration in the laboratory, and telephone
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follow-up on day 2 and day 21 followed by clinical visits at 1,3, and 6 months. Intensive
support included the standard support, with CPAP education provided in the participants’
homes with partners, 2 additional nights of CPAP titration in the sleep center for CPAP
troubleshooting during initial CPAP exposure, and home visits by sleep nurses after 7, 14,
and 28 days as well as after 4 months. The intervention strategy combined support,
education, and self-efficacy promotion with the initial CPAP exposure under supervised
conditions. Significant differences in CPAP adherence between the intensive versus standard
support groups was identified at 6 months (5.4 ± 0.3 hrs/night vs. 3.8 ± 0.4 hrs/night,
respectively, p= 0.003). Although this study provided evidence of the efficacy of the
intervention, the resource utilization of the intervention may limit clinical applicability. The
study does highlight the importance of addressing adherence from a multidimensional
perspective, providing focused intervention at the time of initial CPAP exposure, and
including proximate sources of social support during the treatment initiation period.
In one other study, a multidimensional intervention combining education and supportive
techniques in a music and habit-forming intervention designed to promote relaxation, CPAP
instruction, and habitual application of CPAP was tested.(76) A randomized controlled trial
of newly-diagnosed, CPAP naive patients with severe OSA examined CPAP adherence at
one, three, and six months among participants assigned to the habit-promoting experimental
audio intervention (n = 55) or the placebo audio intervention (daily vitamin consumption; n
= 42). Participants were instructed to listen to their audio intervention in the evening
(control) or prior to bed (experimental) each night for four weeks. There were more adherers
in the experimental group than the placebo group at 1 month (Χ2 = 14.67; p < 0.01) but not
at 3 or 6 months.(76) Although this intervention addressed the demands for early habit-
formation, relaxation, and positive reinforcement, other intervention opportunities may be
needed in order to significantly impact on longer-term CPAP habits and adherence.
What Are Unique Considerations Across Age Groups For CPAP
Adherence?
Childhood CPAP-treated OSA and adherence
Although the standard treatment of childhood OSA is adenotonsillectomy, CPAP is
increasingly used in children who do not respond to surgery or in those for whom surgery is
not recommended. Because CPAP has only more recently been used in children with OSA,
the empiric evidence to date regarding CPAP adherence is limited. It is also difficult to
extrapolate from adult studies of CPAP adherence to this population. The average sleep need
in the pediatric population exceeds that of adults, varies with age and developmental aspects,
and the social environment of children is quite different from adults.
Early studies of CPAP treatment in children reported adherence to be generally high, using
self-reported or parental-reported measures of CPAP use.(77, 78) Yet, more recent studies
using objectively measured CPAP adherence in children, identified less than optimal CPAP
use in this population. Marcus and colleagues applied a cutoff of greater than or equal to
three hours per night of CPAP use to define “adherence” in their randomized double blind
trial comparing effectiveness and adherence of CPAP and bilevel PAP in newly-diagnosed
OSA children who were naïve to PAP treatment.(2) There was no difference between
treatment groups for adherence outcomes at six months. Adherence for all participants (n =
29) was 3.8 ± 3.3 hrs/night when participants who failed to return for CPAP downloads (n =
8) were assumed to be using zero hours/night of the treatment (i.e., intent to treat analysis).
Among participants that returned for follow-up downloads, the average CPAP use was 5.3 ±
2.5 hrs/night. One-third of the enrolled participants dropped out over the six month protocol.
Marcus’ group also identified that parents overestimated CPAP use compared with
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objectively measured use (7.6 ± 2.6 hrs/night v 5.8 ± 2.4 hrs/night, respectively, p < 0.001),
similar to findings in adults.(2) O’Donnell and colleagues identified similar CPAP
adherence in children aged six months to 18 years in their retrospective cohort study of 65
children with severe OSA.(7) The mean daily use of CPAP was 4.7 hrs/night (IQR 1.4–7.0
hours/night) during the study period (median 207 days; IQR 50–450 days). Interestingly,
these investigators identified that children aged 13–18 years and children less than six years
old were less likely to accept CPAP treatment at the outset of treatment than children aged
six to 12 years. In their retrospective description of adherence in children aged seven to 19
years, Uong and colleagues identified average CPAP use among 23/27 patients who they
defined as adherent (i.e., 4hrs/night) was 7.0 hrs/night over a period of 18 months.(79)
Duration of nightly CPAP use (hrs/night) was also associated with frequency of use (%
nights/wk used), similar to findings of adults’ patterns of CPAP use.(80, 81) Parental reports
of CPAP use were more consistent with objectively measured CPAP use in this study,
though objective CPAP use was measured as device powered on, not use at effective
pressure. Therefore, it is possible that both the objective and subjective reports of adherence
are overestimates.
These studies suggest that CPAP adherence is likely problematic in children, as in adults.
Preliminary studies of influential factors on adherence to CPAP in children suggest the
following factors may be important: age (7, 79, 82), maternal education (82), mask style (7),
length of time to initial acceptance of CPAP by child (7), higher self-reported quality of life
(82), and lower BMI (82). Studies that have examined influential factors on CPAP
adherence in children identified older children have lower adherence.(7, 79, 82) Yet, most
studies did not include infants/toddlers so less is known about CPAP adherence in younger
children. Full face masks were associated with lower adherence than nasal masks (7) and
lower maternal education was associated with lower CPAP use by children in one study.(82)
Interestingly, children who were less readily accepting of CPAP (i.e., > 90 days to first use
after CPAP titration polysomnogram) were likely to have lower CPAP adherence as well.(7)
Other factors, such as disease severity (i.e., AHI, oxygen saturation), gender, impaired
cognition, previous upper airway surgery, concomitant psychological support with CPAP
initiation, and mode of PAP delivery (i.e., bilevel vs. CPAP) were not associated with CPAP
use. These findings, albeit preliminary, suggest that developmental aspects of childhood,
socioenvironmental factors, and initial CPAP exposure factors are important for CPAP
adherence in children. There is a great need for more research in this area, particularly if
CPAP treatment becomes more commonplace in the treatment of OSA in children.
There is currently one published intervention study available in the extant literature.(83)
Koontz and colleagues tested a behavioral intervention aimed at improving CPAP use in
children (n = 20) aged 1–15 years who were currently prescribed bilevel PAP and were
nonadherent (mean use, 1.44 hrs/night, range 0–8) and assessed adherence at an average of
25 months of follow-up. Children and their parent/guardian(s) self-selected to one of three
treatment arms: (1) behavior therapy, (2) behavior consultation and recommendation uptake,
and (3) behavior consultation without recommendation uptake. All children and their
parents/guardians attended a behavior consultation wherein trained staff observed routine
CPAP application, a structured interview provided individualized information about the
child’s preferences and dislikes, and recommendations for a one week treatment trial were
provided. Behavior therapy was recommended for dyads when behavior recommendations
for the treatment trial were not successful. By self-selection, 55% of participants were
exposed to behavior therapy, 30% received brief behavior recommendations at the initial
consultation, and 15% declined recommendations for behavior therapy. The behavior
therapy group attended on average six sessions (SD = 3.1) during which behavior-rehearsal
sessions with PAP-related stimuli were presented with increasing proximity and duration.
Participants in both the behavior therapy and behavior consultation with recommendation
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uptake groups demonstrated higher CPAP use than those in the behavior consultation
without recommendation uptake group. Differences between the consultation groups with
uptake versus without uptake were significant (p < 0.05). Yet, 100% of the participants in
consultation with recommendation uptake group and 75% of those in the behavior therapy
increased their nightly CPAP use after the intervention. This study suggests that both brief
behavior consultations and more extensive behavior therapy programs may be effective
interventions for CPAP adherence. Further testing of this intervention strategy is needed in
larger, randomized controlled trials to address not only the efficacy of the intervention but
also clinical applicability of the intervention in every day practice.
Components of a successful intervention to promote CPAP adherence in children are likely
to address child/parent (guardian) engagement in initial acceptance and use of CPAP, patient
education tailored to the needs of the child/parent and with emphasis on treatment outcome
expectations. In children with complex medical problems or who have previously
demonstrated difficulties with CPAP, guided, gradual exposure to CPAP in a supportive
setting with anticipatory guidance for troubleshooting difficulties and child responses to the
challenges of using CPAP may be indicated. As CPAP use in children grows, particularly
with an increasingly obese pediatric population, future studies of varied intervention
strategies are needed. Such studies not only need to test CPAP adherence interventions in
the setting of scientifically-sound methods, but also examine age- and development-specific
intervention strategies that will promote CPAP use in special populations of interest.
Older Adults with OSA and CPAP Adherence
Adherence rates in older adults are generally similar to those observed in other age groups.
(84) Russo-Magno and colleagues noted that 64% of older adult males from a Veterans
Affairs cohort (33 subjects total, retrospective chart review) were adherent with CPAP as
defined by at least five hours of use per night (57), while Pelletier-Fleury and colleagues
noted a one-year adherence rate of 71.9% (defined as at least 3 hours/night) in a prospective
study that included 70 adults, > 60 years.(85) In older adults (> 60 years) with OSA plus
insomnia symptoms, compliance rates may be lower, approaching 40% at four weeks
follow-up.(86) Among older adults with Alzheimer’s disease, CPAP use was 5.8 hours/night
for 73% of the nights.(87) For patients who are post transient ischemic attack (TIA) and
started on auto-CPAP, 40% used their auto-CPAP for at least 4 hours a night on 75% of the
nights.(88)
In a Veterans Affairs cohort study comparing rates or average values in adherent and
nonadherent participants, lower rates of CPAP were associated with (1) inadequate symptom
resolution (resolution of daytime sleepiness, snoring or sleep disturbances occurred in 88–
100% of adherers vs. 35–55% of nonadherers); (2) nocturia (present in 32% adherers vs.
83% nonadherers); (3) benign prostatic hypertrophy (present in approximately 4% adherers
vs. 43% nonadherers); (4) CPAP initiation at older age (adherers, 72 years vs. nonadherers,
74 years); (5) cigarette smoking (10% adherers vs. 46% nonadherers); and (6) lack of
participation in CPAP support/education sessions (95% adherers participated vs. 54% did
not participate).(57) Interestingly, functional impairment (ambulation), hearing loss and
psychiatric disease were not associated with lower CPAP adherence but indeed had a trend
toward higher rates of CPAP use. Less alcohol consumption, lower disease severity (i.e.,
AHI), and need for supplemental oxygen in addition to CPAP similarly evidenced a trend
toward higher CPAP use.(57) No differences were noted between adherent and nonadherent
groups in regard to the presence or absence of a live-in partner or vision impairment. In
older adults with cognitive impairment (possible or probable mild-moderate Alzheimer’s
Disease, Mini-Mental Status Exam score 18), patients with higher levels of depression
were less likely to adhere to CPAP.(87)
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The effect of older age on CPAP adherence is controversial, with some studies showing
reduced CPAP use with increasing age (89) while others have noted higher rates of CPAP
adherence with age.(90–92) Pelletier-Fleury and colleagues found that age was associated
with greater degrees of nonadherence in univariate analysis (71.9% in subjects > 60 years
vs. 90.5% in those <60 years), but when controlling for other factors such as gender, age
was no longer found to be significantly associated with CPAP adherence.(85) Similar
findings using a multivariate model of CPAP adherence have been identified (32),
suggesting that any reduced adherence noted as a function of advancing age may be largely
mediated by other factors.
Insomnia complaints are common in older adults, and patients with insomnia may also have
difficulty adapting to CPAP.(93–96) These patients spend considerable portions of the night
awake, and thus have a heightened awareness of the discomfort of CPAP.(97) The net result
is that it can be difficult to administer CPAP to patients with significant insomnia
complaints.(97) From our clinical experience, patients with upper extremity weakness, such
as from rotator cuff tears or cerebrovascular events, may have more difficulty applying a
CPAP mask, but this has not been adequately researched. Older adults may also be more
likely to have central sleep apnea or complex sleep apnea due to underlying pulmonary or
cardiac disease; however, while complex sleep apnea may be associated with more frequent
complaints of nocturnal dyspnea or inadvertent mask removal at night, CPAP adherence
rates are generally similar.(98)
A limited number of studies have examined interventions to improve CPAP use in older
adults. As discussed previously, Aloia and colleagues noted improved adherence to CPAP
with two 45-minute CBT interventions.(73) An “intensive support” intervention consisting
of education and monthly home visits for six months has also been found to improve CPAP
adherence in mostly older adults (average age 57 years) participating in a randomized
control trial comparing CPAP with standard support (n = 25), auto-titrating PAP with
standard support (n = 25), CPAP with intensive support (n = 25), or auto-titrating PAP with
intensive support (n= 25).(99) Auto-titrating CPAP also did not enhance CPAP use.(99)
This finding is consistent with studies in adult samples.(34)
Additional interventions that have been proposed include evaluating patients for
psychological factors that may influence CPAP adherence, such as depression or
claustrophobia, partner involvement, and education regarding risks of untreated sleep apnea
in terms of cardiovascular disease and impaired functional outcomes.(84) Other strategies
which may have a potential benefit but for which little data is currently available include nap
trials to habituate to CPAP and targeted treatment of comorbid insomnia symptoms with
pharmacotherapy or CBT.(86, 97)
What are Critical Components of CPAP Adherence Interventions Across
and Within Age Groups?
The evidence to date suggests critical components of intervention strategies to promote
CPAP adherence in the OSA population likely include: (1) patient education about OSA,
diagnostic information, symptoms, CPAP treatment, expectancies for treatment response,
expectancies for daily management of CPAP; (2) goals for treatment and use of CPAP; (3)
anticipatory guidance for troubleshooting common problems and experiences with CPAP;
(4) assisted initial exposure to CPAP; (5) inclusion of support person(s) during early
treatment education and exposure (e.g., spouse, bed partner, proximate social support
resource); (6) interface opportunities with other CPAP-treated OSA persons; (7) “early and
often” follow-up during first weeks of CPAP treatment; (8) available resources for problem-
solving; and (9) clinical follow-up with sleep team. Although these components are based on
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a relatively small number of intervention studies in adult samples, there is consistency from
these studies to support these components. Furthermore, preliminary evidence also supports
novel components for intervention strategies among younger and older OSA patients (Figure
2). The identified critical components for intervention strategies to promote CPAP
adherence are consistent with and further extend the American Academy of Sleep
Medicine’s clinical guidelines for the management of CPAP-treated OSA.(10)
When examined collectively, there is insightful evidence to suggest broad components that
are significant for developing and testing interventions to improve CPAP adherence in
adults. Future studies for both the pediatric and older adult OSA populations are needed to
suggest intervention opportunities in these populations. Furthermore, there are no published
studies in the area of individualized (i.e., tailored) or targeted (i.e., patient-centered)
interventions for particular subgroups of patients, including but not limited to established
non-adherers, specific age-groups of children, older adults without proximate social support,
and older adults with cognitive impairment of varied severity. There is also little work in the
area of culturally-congruent interventions for diverse CPAP-treated OSA populations, who
are likely to have specific comorbidities that heighten health risks with sub-optimally treated
OSA. Translational studies across all age groups are yet another area of critical examination
that is not well-described or understood. The gaps in the current literature will need to be
addressed in order to (1) better understand if CPAP adherence can be effectively promoted,
particularly in different age groups and in particular subgroups of interest, and (2) to place
intervention strategies in the clinical setting where patients and providers must address the
complexity of effectively treating OSA to promote health and functional outcomes of this
population.
Acknowledgments
This work was supported by a grant from National Institutes of Health, National Institute of Nursing Research
K99NR011173 (Sawyer AM).
Abbreviations
CPAP Continuous Positive Airway Pressure
OSA Obstructive Sleep Apnea
AHI Apnea/Hypopnea Index
PAP Positive Airway Pressure
ESS Epworth Sleepiness Scale
IQR Interquartile Range
SD Standard Deviation
SES Socioeconomic Status
References
1. Gay P, Weaver TE, Loube D, Iber C. Evaluation of positive airway pressure treatment for sleep-
related breathing disorders in adults. Sleep. 2006; 29:381–401. [PubMed: 16553025]
*2. Marcus CL, Rosen G, Ward SL, Halbower AC, Sterni L, Lutz J, et al. Adherence to and
effectiveness of positive airway pressure therapy in children with obstructive sleep apnea.
Pediatrics. 2006; 117:e442–51. [PubMed: 16510622]
3. Sullivan CE, Berthon-Jones M, Issa FG, Eves L. Reversal of obstructive sleep apnea by continuous
positive airway pressure applied through the nares. Lancet. 1981; 1:862–5. [PubMed: 6112294]
Sawyer et al. Page 17
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
4. Kribbs NB, Pack AI, Kline LR, Smith PL, Schwartz AR, Schubert NM, et al. Objective
measurement of patterns of nasal CPAP use by patients with obstructive sleep apnea. American
Review of Repiratory Diseases. 1993; 147:887–95.
5. Engleman HM, Martin SE, Douglas NJ. Compliance with CPAP therapy in patients with the sleep
apnoea/hypopnoea syndrome. Thorax. 1994; 49:263–6. [PubMed: 8202884]
6. Reeves-Hoche MK, Meck R, Zwillich CW. Nasal CPAP: An objective evaluation of patient
compliance. American Journal of Respiratory & Critical Care Medicine. 1994; 149:149–54.
[PubMed: 8111574]
7. O’Donnell AR, Bjornson CL, Bohn SG, Kirk VG. Compliance rates in children using noninvasive
continuous positive airway pressure. Sleep. 2006; 29:651–58. [PubMed: 16774155]
8. Engleman HM, Asgari-Jirandeh N, McLeod AL, Ramsay CF, Deary IJ, Douglas NJ. Self-reported
use of CPAP and benefits of CPAP therapy. Chest. 1996; 109:1470–6. [PubMed: 8769496]
9. Rauscher H, Formanek D, Popp W, Zwick H. Self-reported vs. measured compliance with nasal
CPAP for obstructive sleep apnea. Chest. 1987; 103:1675–80. [PubMed: 8404084]
*10. Epstein LJ, Kristo D, Strollo PJ, Friedman N, Malhotra A, Patil SP, et al. Clinical guideline for
the evaluation, management and long-term care of obstructive sleep apnea in adults. Journal of
Clinical Sleep Medicine. 2009; 5:263–76. [PubMed: 19960649]
*11. Kushida C, Littner M, Hirshkowitz M, Morgenthaler T, Alessi C, Bailey D, et al. Practice
parameters for the use of continuous and bilevel positive airway pressure devices to treat adult
patients with sleep-related breathing disorders. Sleep. 2006; 29:375–80. [PubMed: 16553024]
12. Stradling JR, Davies RJ. Is more NCPAP better? Sleep. 2000 Jun 15; 23(Suppl 4):S150–3.
[PubMed: 10893091]
13. Antic NA, Catcheside P, Buchan C, Hensley M, Naughton MT, Rowland S, et al. The effect of
CPAP in normalizing daytime sleepiness, quality of life and neurocognitive function in moderate-
severe OSA. Sleep. in press.
14. Campos-Rodriguez F, Pena-Grinan N, Reyes-Nunez N, De la Cruz-Moron I, Perez-Ronchel J, De
la Vega-Gallardo F, et al. Mortality in obstructive sleep apnea-hypopnea patients treated with
positive airway pressure. Chest. 2005 Aug; 128(2):624–33. [PubMed: 16100147]
15. Zimmerman ME, Arnedt JT, Stanchina M, Millman RP, Aloia MS. Normalization of memory
performance and positive airway pressure adherence in memory-impaired patients with obstructive
sleep apnea. Chest. 2006 Dec; 130(6):1772–8. [PubMed: 17166995]
16. Weaver T, Maislin G, Dinges D, Bloxham T, George C, Greenberg H, et al. Relationship Between
Hours of CPAP Use and Achieving Normal Levels of Sleepiness and Daily Functioning. Sleep.
2007; 30:711–9. [PubMed: 17580592]
17. Engleman HM, Martin SE, Deary IJ, Douglas NJ. Effect of continuous positive airway pressure
treatment on daytime function in sleep apnoea/hypopnoea syndrome. Lancet. 1994; 343(8897):
572–5. [PubMed: 7906330]
18. Kribbs NB, Pack AI, Kline LR, Smith PL, Schwartz AR, Schubert NM, et al. Objective
measurement of patterns of nasal CPAP use by patients with obstructive sleep apnea. Am Rev
Respir Dis. 1993; 147(4):887–95. [PubMed: 8466125]
19. Sin DD, Mayers I, Man GC, Pawluk L. Long-term compliance rates to continuous positive airway
pressure in obstructive sleep apnea: a population-based study. Chest. 2002; 121(2):430–5.
[PubMed: 11834653]
20. McArdle N, Devereux G, Heidarnejad H, Engleman HM, Mackay TW, Douglas NJ. Long-term use
of CPAP therapy for sleep apnea/hypopnea syndrome. Am J Respir Crit Care Med. 1999; 159(4 Pt
1):1108–14. [PubMed: 10194153]
21. Krieger J. Long-term compliance with nasal continuous positive airway pressure (CPAP) in
obstructive sleep apnea patients and nonapneic snorers. Sleep. 1992; 15(6 Suppl):S42–6.
[PubMed: 1470808]
22. Reeves-Hoche MK, Meck R, Zwillich CW. Nasal CPAP: an objective evaluation of patient
compliance. Am J Respir Crit Care Med. 1994; 149(1):149–54. [PubMed: 8111574]
23. Li HY, Engleman H, Hsu CY, Izci B, Vennelle M, Cross M, et al. Acoustic reflection for nasal
airway measurement in patients with obstructive sleep apnea-hypopnea syndrome. Sleep. 2005
Dec 1; 28(12):1554–9. [PubMed: 16408415]
Sawyer et al. Page 18
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
24. Sugiura T, Noda A, Nakata S, Yasuda Y, Soga T, Miyata S, et al. Influence of nasal resistance on
initial acceptance of continuous positive airway pressure in treatment for obstructive sleep apnea
syndrome. Respiration. 2007 Nov 18; 74(1):56–60. [PubMed: 16299414]
25. Morris LG, Setlur J, Burschtin OE, Steward DL, Jacobs JB, Lee KC. Acoustic rhinometry predicts
tolerance of nasal continuous positive airway pressure: A pilot study. Am J Rhinol. 2006 Mar-Apr;
20(2):133–7. [PubMed: 16686374]
26. Nakata S, Noda A, Yagi H, Yanagi E, Mimura T, Okada T, et al. Nasal resistance for determinant
factor of nasal surgery in CPAP failure patients with obstructive sleep apnea syndrome.
Rhinology. 2005 Dec; 43(4):296–9. [PubMed: 16405275]
27. Lewis KE, Seale L, Bartle IE, Watkins AJ, Ebden P. Early predictors of CPAP use for the
treatment of obstructive sleep apnea. Sleep. 2004 Feb 1; 27(1):134–8. [PubMed: 14998250]
28. Stepnowsky C, Bardwell WA, Moore PJ, Ancoli-Israel S, Dimsdale JE. Psychologic correlates of
compliance with continuous positive airway pressure. Sleep. 2002; 25:758–62. [PubMed:
12405612]
29. Wells RD, Freedland KE, Carney RM, Duntley SP, Stepanski EJ. Adherence, reports of benefits,
and depression among patients treated with continuous positive airway pressure. Psychosomatic
Medicine. 2007; 69:449–54. [PubMed: 17556641]
30. Brostom A, Stromberg A, Martensson J, Ulander M, Harder L, Svanborg E. Association of Type D
personality to perceived side effects and adherence in CPAP-treated patients with OSAS. J Sleep
Research. 2007; 16:439–47. [PubMed: 18036091]
31. Scharf S, Seiden L, DeMore J, Carter-Pokras O. Racial differences in clinical presentation of
patients with sleep-disordered breathing. Sleep & Breathing. 2004; 8:173–83. [PubMed:
15611892]
32. Platt AB, Field SH, Asch DA, Chen Z, Patel NP, Gupta R, et al. Neighborhood of residence is
associated with daily adherence to CPAP therapy. Sleep. 2009; 32:799–806. [PubMed: 19544757]
33. Budhiraja R, Parthasarathy S, Drake CL, Roth T, Sharief I, Budhiraja P, et al. Early CPAP use
identifies subsequent adherence to CPAP therapy. Sleep. 2007; 30:320–4. [PubMed: 17425228]
34. Ayas NT, Patel SR, Malhotra A, Schulzer M, Malhotra M, Jung D, et al. Auto-titrating versus
standard continuous positive airway pressure for the treatment of obstructive sleep apnea: Results
of a meta-analysis. Sleep. 2004; 27:249–53. [PubMed: 15124718]
35. Hukins C. Comparative study of autotitrating and fixed-pressure CPAP in the home: a randomized,
single-blind crossover trial. Sleep. 2004; 27:1512–7. [PubMed: 15683142]
36. Massie CA, McArdle N, Hart RW, Schmidt-Nowara WW, Lankford A, Hudgel DW, et al.
Comparison between automatic and fixed positive airway pressure therapy in the home. American
Journal of Respiratory & Critical Care Medicine. 2003; 167(1):20–3. [PubMed: 12406840]
37. Engleman HM, Wilde M. Improving CPAP use by patients with the sleep apnoea/hypopnoea
syndrome (SAHS). Sleep Medicine Reviews. 2003; 7:81–99. [PubMed: 12586532]
38. Anderson F, Kingshott R, Taylor D, Jones D, Kline LR, Whyte K. A randomized crossover
efficacy trial of oral CPAP (Oracle) compared with nasal CPAP in the management of obstructive
sleep apnea. Sleep. 2003; 26:721–6. [PubMed: 14572126]
39. Khanna R, Kline LR. A prospective 8 week trial of nasal interfaces vs. a novel oral appliance
(Oracle) for treatment of obstructive sleep apnea hypopnea syndrome. Sleep Medicine. 2003;
4:333–8. [PubMed: 14592306]
40. Massie C, Hart R. Clinical outcomes related to interface type in patients with obstructive sleep
apnea/hypopnea syndrome who are using continuous positive airway pressure. Chest. 2003;
123:1112–8. [PubMed: 12684301]
41. Mortimore I, Douglas NJ. Comparison of nose and face mask CPAP therapy for sleep apoea.
Thorax. 1998; 53:290–2. [PubMed: 9741373]
42. Massie C, Hart R, Peralez K, Richards G. Effects of humidification on nasal symptoms and
compliance in sleep apnea patients using continuous positive airway pressure. Chest. 1999;
116:403–8. [PubMed: 10453869]
43. Neill AM, Wai HS, Bannan SP, Beasley CR, Weatherall M, Campbell A. Humidified nasal
continuous positive airway pressure in obstructive sleep apnoea. Eur Respir J. 2003; 22:258–62.
[PubMed: 12952257]
Sawyer et al. Page 19
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
44. Mador MJ, Krauza M, Pervez A, Pierce DP, Braun M. Effect of heated humidity on compliance
and quality of life in patients with sleep apnea using nasal continuous positive airway pressure.
Chest. 2005; 128:2151–58. [PubMed: 16236868]
45. Aloia MS, Stanchina M, Arnedt J, Malhotra A, Millman RP. Treatment adherence and outcomes in
flexible vs standard continuous positive airway pressure therapy. Chest. 2005; 127:2085–93.
[PubMed: 15947324]
46. Pepin JL, Muir JF, Gentina T, Dauvilliers Y, Tamisier R, Sapene M, et al. Pressure reduction
during exhalation in sleep apnea patients treated by continous positive airway pressure. Chest.
2009; 136:490–97. [PubMed: 19567496]
47. Dolan DC, Okonkwo R, Gfullner F, Hansbrough JR, Strobel RJ, Rosenthal L. Longitudinal
comparison study of pressure relief (C-flex) vs. CPAP in OSA patients. Sleep & Breathing. 2009;
13:73–7. [PubMed: 18551327]
48. Weaver TE, Maislin G, Dinges DF, Younger J, Cantor C, McCloskey S, et al. Self-efficacy in
sleep apnea: Instrument development and patient perceptions of obstructive sleep apnea risk,
treatment benefit, and volition to use continuous positive airway pressure. Sleep. 2003; 26:727–32.
[PubMed: 14572127]
49. Chasens ER, Pack AI, Maislin G, Dinges DF, Weaver TE. Claustrophobia and adherence to CPAP
treatment. West J Nurs Res. 2005 Apr; 27(3):307–21. [PubMed: 15781905]
50. Stepnowsky C, Marler MR, Ancoli-Israel S. Determinants of nasal CPAP compliance. Sleep
Medicine. 2002; 3:239–47. [PubMed: 14592213]
51. Aloia MS, Arnedt JT, Stepnowski C, Hecht J, Borrelli B. Predicting Treatment Adherence in
Obstructive Sleep Apnea Using Principles of Behavior Change. Journal of Clinical Sleep
Medicine. 2005; 1:346–53. [PubMed: 17564399]
52. Baron KG, Berg CA, Czajkowski LA, Smith TW, Gunn H, Jones CR. Self-efficacy contributes to
individual differences in subjective improvements using CPAP. Sleep & Breathing. 2010
53. Sawyer AM, Canamucio A, Moriarty H, Weaver TE, Richards K, Kuna ST. Do cognitive
perceptions influence CPAP use? Patient Education and Counseling. in press.
54. Olsen S, Smith S, Oei T, Douglas J. Health belief model predicts adherence to CPAP before
experience with treatment. European Respiratory Journal. 2008; 32:710–17. [PubMed: 18417510]
55. Tyrrell J, Poulet C, Pe Pin JL, Veale D. A preliminary study of psychological factors affecting
patients’ acceptance of CPAP therapy for sleep apnoea syndrome. Sleep medicine. 2006 Jun; 7(4):
375–9. [PubMed: 16564221]
56. Sawyer AM, Deatrick J, Kuna ST, Weaver TE. Differences in perceptions of the diagnosis and
treatment of obstructive sleep apnea and continuous positive airway pressure therapy among
adherers and nonadherers. Qualitative Health Research. 2010; 20:873–92. [PubMed: 20354236]
57. Russo-Magno P, O’Brien A, Panciera T, Rounds S. Compliance with CPAP therapy in older men
with obstructive sleep apnea. J Am Geriatr Soc. 2001; 49(9):1205–11. [PubMed: 11559380]
58. McArdle N, Kingshott R, Engleman HM, Mackay TW, Douglas NJ. Partners of patients with sleep
apnoea/hypopnoea syndrome: effect of CPAP treatment on sleep quality and quality of life.
Thorax. 2001; 56(7):513–8. [PubMed: 11413348]
59. Baron KG, Smith TW, Berg CA, Czajkowski LA, Gunn H, Jones CR. Spousal involvement in
CPAP adherence among patients with obstructive sleep apnea. Sleep & Breathing. 2010
60. Bandura A. Health promotion by social cognitive means. Health Education & Behavior. 2004;
31:143–64. [PubMed: 15090118]
61. Meurice JC, Ingrand P, Portier F, Arnulf I, Rakotonanahari D, Fournier E, et al. A multicentre trial
of education strategies at CPAP induction in the treatment of severe sleep apnoea-hypopnoea
syndrome. Sleep Medicine. 2007; 8:37–42. [PubMed: 17157557]
*62. Golay A, Girard A, Grandin S, Metrailler J-C, Victorion M, Lebas P, et al. A new educational
program for patients suffering from sleep apnea syndrome. Patient Education and Counseling.
2006; 60:220–27. [PubMed: 16253467]
*63. Wiese HJ, Boethel C, Phillips B, Wilson JF, Peters J, Viggiano T. CPAP compliance: Video
education may help! Sleep Medicine. 2005; 6:171–4. [PubMed: 15716221]
64. Wiese HJ, Boethel C, Phillips B, Wilson JF, Peters J, Viggiano T. CPAP compliance: Video
education may help! Sleep medicine. 2005; 6:171–4. [PubMed: 15716221]
Sawyer et al. Page 20
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
*65. DeMolles DA, Sparrow D, Gottlieb DJ, Friedman R. A pilot trial of a telecommunications system
in sleep apnea management. Medical Care. 2004; 42:764–9. [PubMed: 15258478]
66. Smith CE, Dauz ER, Clements F, Puno FN, Cook D, Doolittle G, et al. Telehealth services to
improve nonadherence: A placebo-controlled study. Telemedicine and e-Health. 2006; 12(3):289–
96. [PubMed: 16796496]
*67. DeMolles DA, Sparrow D, Gottlieb DJ, Friedman R. A pilot trial of a telecommunications system
in sleep apnea management. Medical Care. 2004; 42:764–9. [PubMed: 15258478]
68. Sparrow D, Aloia MS, DeMolles DA, Gottlieb DJ. A telemedicine intervention to improve
adherence to continuous positive airway pressure: a randomised controlled trial. Thorax. 2010;
65:1061–66. [PubMed: 20880872]
69. Stepnowsky CJ, Palau JJ, Marler MR, Gifford AL. Pilot randomized trial of the effect of wireless
telemonitoring on compliance and treatment efficacy of obstructive sleep apnea. Journal of
Medical Internet Research. 2007; 9(2):e14. [PubMed: 17513285]
70. Taylor Y, Eliasson AH, Andrada T, Kristo D, Howard R. The role of telemedicine in CPAP
compliance for patients with obstructive sleep apnea syndrome. Sleep & Breathing. 2006; 10:132–
8. [PubMed: 16565867]
71. Aloia MS, Arnedt JT, Millman RP, Stanchina M, Carlisle C, Hecht J, et al. Brief behavioral
therapies reduce early positive airway pressure discontinuation rates in sleep apnea syndrome:
Preliminary findings. Behavioral Sleep Medicine. 2007; 5:89–104. [PubMed: 17441780]
72. Richards D, Bartlett DJ, Wong K, Malouff J, Grunstein RR. Increased adherence to CPAP with a
group cognitive behavioral treatment intervention: A randomized trial. Sleep. 2007; 30:635–40.
[PubMed: 17552379]
*73. Aloia MS, Di Dio L, Ilniczky N, Perlis ML, Greenblatt DW, Giles DE. Improving compliance
with nasal CPAP and vigilance in older adults with OAHS. Sleep and Breathing. 2001; 5:13–21.
[PubMed: 11868136]
*74. Lettieri CJ, Shah AA, Holley AB, Kelly WF, Chang AS, Roop SA. Effects of a short course of
eszopiclone on continuous positive airway pressure adherence. Annals of Internal Medicine.
2009; 151:696–702. [PubMed: 19920270]
75. Hoy CJ, Vennelle M, Kingshott RN, Engleman HM, Douglas NJ. Can intensive support improve
continuous positive airway pressure use in patients with the sleep apnea/hypopnea syndrome?
American Journal of Respiratory & Critical Care Medicine. 1999; 159:1096–100. [PubMed:
10194151]
76. Smith CE, Dauz ER, Clements F, Werkowitch M, Whitman R. Patient education combined in a
music and habit-forming intervention for adherence to continuous positive airway (CPAP)
prescribed for sleep apnea. Patient Education and Counseling. 2009; 74:184–90. [PubMed:
18829212]
*77. Marcus CL, Ward SL, Mallory GB, Rosen CL, Beckerman RC, Weese-Mayer DE, et al. Use of
nasal continuous positive airway pressure as treatment of childhood obstructive sleep apnea. J
Pediatrics. 1995; 127:88–94.
78. Massa F, Gonsalez S, Laverty A, Wallis C, Lane R. The use of nasal continuous positive airway
pressure to treat obstructive sleep apnoea. Archives of Disease in Childhood. 2002; 87:438–43.
[PubMed: 12390928]
79. Uong EC, Epperson M, Bathon SA, Jeffe DB. Adherence to nasal continuous positive airway
pressure therapy among school-aged children and adolescents with obstructive sleep apnea
syndrome. Pediatrics. 2007; 120:e1203–11. [PubMed: 17923535]
80. Weaver T, Kribbs N, Pack A, Kline L, Chugh D, Maislin G, et al. Night-to-night variability in
CPAP use over first three months of treatment. Sleep. 1997; 20:278–83. [PubMed: 9231953]
81. Aloia MS, Arnedt JT, Stanchina M, Millman RP. How early in treatment is PAP adherence
established? Revisiting night-to-night variability. Behavioral Sleep Medicine. 2007; 5:229–40.
[PubMed: 17680733]
82. DiFeo, NE.; Meltzer, LJ.; Karamessinis, LR.; Michelle, P.; Walker, CF.; Schultz, BJ., et al. Factors
affecting positive airway pressure (PAP) adherence in children. Sleep 22nd Annual Meeting of the
Associated Professional Sleep Societies; 2008; Baltimore, MD: American Academy of Sleep
Medicine; 2008. p. A90
Sawyer et al. Page 21
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
83. Koontz KL, Slifer KJ, Cataldo MD, Marcus CL. Improving pediatric compliance with positive
airway pressure therapy: the impact of behavioral intervention. Sleep. 2003; 26:1010–15.
[PubMed: 14746383]
84. Weaver TE, Chasens ER. Continuous positive airway pressure treatment for sleep apnea in older
adults. Sleep Med Rev. 2007 Apr; 11(2):99–111. [PubMed: 17275370]
85. Pelletier-Fleury N, Rakotonanahary D, Fleury B. The age and other factors in the evaluation of
compliance with nasal continuous positive airway pressure for obstructive sleep apnea syndrome.
A Cox’s proportional hazard analysis. Sleep Medicine. 2001; 2:225–32. [PubMed: 11311685]
86. Gooneratne N, Gehrman P, Gurubhagavatula I, Schwab RJ. Effectiveness of ramelteon for
insomnia symptoms in older adults with obstructive sleep apnea: A randomized placebo-controlled
pilot study. J Clin Sleep Med. in press.
87. Ancoli-Israel S, Palmer BW, Cooke JR, Corey-Bloom J, Fiorentino L, Natarajan L, et al. Cognitive
effects of treating obstructive sleep apnea in Alzheimer’s Disease: A randomized controlled study.
J Am Geriatr Soc. 2008; 56:2076–81. [PubMed: 18795985]
88. Bravata DM, Concato J, Fried T, Ranjbar N, Sadarangani T, McCain v, et al. Auto-titrating
continuous positive airway pressure for patients with acute transient ischemic attack. Stroke. 2010;
41:1464–70. [PubMed: 20508184]
89. Janson C, Noges E, Svedberg-Randt S, Lindberg E. What characterizes patients who are unable to
tolerate continuous positive airway pressure (CPAP) treatment? Respir Med. 2000 Feb; 94(2):145–
9. [PubMed: 10714420]
90. Amfilochiou A, Tsara V, Kolilekas L, Gizopoulou E, Maniou C, Bouros D, et al. Determinants of
continuous positive airway pressure compliance in a group of Greek patients with obstructive
sleep apnea. Eur J Intern Med. 2009 Oct; 20(6):645–50. [PubMed: 19782930]
91. Poulet C, Veale D, Arnol N, Levy P, Pepin JL, Tyrrell J. Psychological variables as predictors of
adherence to treatment by continuous positive airway pressure. Sleep Med. 2009 Oct; 10(9):993–
9. [PubMed: 19332381]
92. Galetke W, Anduleit N, Richter K, Stieglitz S, Randerath WJ. Comparison of automatic and
continuous positive airway pressure in a night-by-night analysis: a randomized, crossover study.
Respiration. 2008; 75(2):163–9. [PubMed: 17148931]
93. Haynes PL. The role of behavioral sleep medicine in the assessment and treatment of sleep
disordered breathing. Clin Psychol Rev. 2005 Jul; 25(5):673–705. [PubMed: 15951084]
94. Roehrs T, Conway W, Wittig R, Zorick F, Sicklesteel J, Roth T. Sleep-wake complaints in patients
with sleep-related respiratory disturbances. Am Rev Respir Dis. 1985 Sep; 132(3):520–3.
[PubMed: 4037527]
95. Barthlen GM, Lange DJ. Unexpectedly severe sleep and respiratory pathology in patients with
amyotrophic lateral sclerosis. Eur J Neurol. 2000 May; 7(3):299–302. [PubMed: 10886313]
96. Hoffstein V, Viner S, Mateika S, Conway J. Treatment of obstructive sleep apnea with nasal
continuous positive airway pressure. Patient compliance, perception of benefits, and side effects.
Am Rev Respir Dis. 1992 Apr; 145(4 Pt 1):841–5. [PubMed: 1554212]
97. Krakow B, Melendrez D, Ferreira E, Clark J, Warner TD, Sisley B, et al. Prevalence of insomnia
symptoms in patients with sleep-disordered breathing. Chest. 2001 Dec; 120(6):1923–9. [PubMed:
11742923]
98. Pusalavidyasagar SS, Olson EJ, Gay PC, Morgenthaler TI. Treatment of complex sleep apnea
syndrome: a retrospective comparative review. Sleep Med. 2006 Sep; 7(6):474–9. [PubMed:
16931153]
99. Damjanovic D, Fluck A, Bremer H, Muller-Quernheim J, Idzko M, Sorichter S. Compliance in
sleep apnoea therapy: influence of home care support and pressure mode. Eur Respir J. 2009 Apr;
33(4):804–11. [PubMed: 19129293]
Sawyer et al. Page 22
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Research Agenda Points
Adults and Older Adults with CPAP-treated OSA:
Further describe CPAP adherence across (1) varied age cohorts and comorbid
conditions; (2) extensively explore differences between those who initially
accept CPAP and those who initially reject CPAP; and (3) examine the impact
of CPAP adherence in terms of measurable health and societal costs
Examine factors that may poignantly influence differences in CPAP adherence
in diverse OSA groups which will guide the development of culturally-
congruent intervention opportunities
Develop and test a method by which OSA patients at risk for CPAP adherence
difficulties can be prospectively identified to permit intervention delivery at the
outset, or prior to, CPAP treatment initiation
Examine CPAP dose response across outcomes and adult age groups, including
in patients with comorbid conditions that heighten risks of OSA
Further examine the efficacy and effectiveness of CBT interventions for
translation
Replicate technologically-based intervention studies in large randomized control
trials
Develop and test targeted and tailored interventions to promote CPAP adherence
In multifaceted intervention studies, critically examine not only the primary
outcome of interest (i.e., CPAP adherence) but also the moderators/mediators of
importance and cost-effectiveness of such interventions
Children with CPAP-treated OSA:
Further describe CPAP adherence in the pediatric OSA population including
dose of CPAP that should equate “adherence” in this population
Examine salient factors that influence CPAP adherence in the pediatric
population which will potentially guide the development of intervention
strategies
Further examine age- and development-related factors that may influence CPAP
use and guide targeted interventions based on age and developmental stage
Considering there are unique sub-groups of children likely to use CPAP for
OSA, design and test targeted and/or tailored interventions to promote CPAP
adherence in these groups
Sawyer et al. Page 23
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Practice Points
Certain patients may be at risk for CPAP adherence difficulties including
School-aged children and adolescents
Children and adults without proximate social support resources
Adults with reduced nasal cross-sectional area
Claustrophobia at treatment initiation
Persons expressing low belief in ability to use CPAP and/or unable to
identify reasons for using CPAP or outcome expectation
Persons who experience difficulties with CPAP at initial exposure or
have a negative experience with CPAP during early home treatment
period
Persons with upper extremity weakness and physical impairment
limiting the ability to apply CPAP and manage the tasks associated
with treatment
Patient education is a supportive mechanism to promote CPAP adherence and
should be consistently implemented with all patients and their support persons
prior to initiating CPAP treatment
Intervention strategies to promote CPAP adherence may include
Inclusion of support person(s), parent/guardian, caregiver, spouse/bed
partner
Promote positive first experiences with CPAP, including during in-
laboratory polysomnogram treatment trials
Anticipatory guidance for common problems, side effects, trouble-
shooting device issues
Sawyer et al. Page 24
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Figure 1.
CPAP Dose and Outcomes of Subjective Sleepiness, Objective Sleepiness, and Functional
Outcomes
Cumulative proportion of participants obtaining normal threshold values on the Epworth
Sleepiness Scale (ESS), Multiple Sleep Latency Test (MSLT), and Functional Outcomes of
Sleep Questionnaire (FOSQ) by hours of continuous positive airway pressure (CPAP) use.
From Weaver TE, Maislin G, Dinges DF, Bloxham T, George CFP, Greenberg H, Kader G,
Mahowald M, Younger J, Pack AI. Relationship between hours of CPAP use and achieving
normal levels of sleepiness and daily functioning. Sleep 2007; 30: 711–19.
Sawyer et al. Page 25
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Figure 2.
Intervention Components to Promote CPAP* Adherence: Pediatric and Older Adult
Considerations
Add-on considerations (shaded diamonds, left side for children; right side for older adults
and older adults with cognitive impairment) to promote CPAP use in children and older
adults based on currently published studies. These suggestions extend the American
Academy of Sleep Medicine’s Adult Obstructive Sleep Apnea Task Force
recommendations.
*CPAP – Continuous Positive Airway Pressure; PAP – Positive Airway Pressure; OSA –
Obstructive Sleep Apnea; CBT – Cognitive Behavior Therapy; AASM – American
Academy of Sleep Medicine.
Sawyer et al. Page 26
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Flow diagram adapted with permission from Epstein LJ, Kristo D, Strollo PJ, Friedman N,
Malhotra A, Patil SP, Ramar K, Rogers R, Schwab RJ, Weaver EM, Weinstein MD. Clinical
guideline for the evaluation, management and long-term care of obstructive sleep apnea in
adults. J Clin Sleep Med 2009;5(3): 263–76.
Sawyer et al. Page 27
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Sawyer et al. Page 28
Table 1
Factors of Influence on CPAP* Adherence
Factor Relationship to Course of Treatment Caveat
Pre-CPAP Exposure Initial CPAP Exposure Home CPAP Treatment
Disease & Patient
Characteristics Disease Severity Weak but consistent
factor of CPAP use
Sleepiness Weak but consistent
factor of CPAP use
Upper Airway Patency Baseline assessment
with acoustic
rhinometry;
decreased nasal
volume/patency may
influence initial
acceptance of CPAP
and reduce overall
use of CPAP
Depression, Mood,
Personality Type Depression, Mood, Personality
Type Influence perceptions
of symptoms,
response to treatment,
and side effects
which may deter
CPAP use
Race Limited evidence in
groups other than
African Americans,
who tend to use
CPAP less than
Caucasians
SES*Neighborhood of
residence important
and may suggest
socioenvironmental
factors influential on
CPAP use
Treatment Titration Procedure Auto-titrating CPAP Subgroups that may
benefit include
younger persons,
those with persistent
side effects, and those
who require high
pressure
Technological Device Factors
& Side Effects Heated Humidification Heated Humidification Generally
recommended for all
CPAP users;
particularly important
for those with
oronasal side effects
at treatment outset
and/or with CPAP
use
Flexible Pressure Add-on therapy in
non-adherent users
Claustrophobia Decreases over time
with persistent CPAP
use
Psychological & Social
Factors Self-efficacy Self-efficacy Belief in ability to
use CPAP formed at
education and with
early CPAP exposure
is important
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
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Sawyer et al. Page 29
Factor Relationship to Course of Treatment Caveat
Pre-CPAP Exposure Initial CPAP Exposure Home CPAP Treatment
Outcome Expectations Outcome Expectations Realistic expectations
for improvements
with CPAP influence
use
Social Support Provide feedback to
CPAP user re:
noticeable
improvements;
Pressure from spouse
may deter use
Disease & Treatment-
specific Knowledge Disease & Treatment-
specific Knowledge Disease & Treatment- specific
Knowledge Contribute to
perceptions of OSA*
and CPAP but alone
likely not influential
Decisional Balance (pros/cons) If negative aspects of
CPAP > positive, use
of CPAP may be low
Active Coping Style Planful problem-
solving and
confrontative coping
positive influence on
CPAP use
Disease- specific Risk
Perception Contribute to
perceptions of OSA
and CPAP but alone
likely not influential
Presence of Bed Partner Improved sleep
quality of bed partner
with patient’s CPAP
use associated with
use of treatment
*CPAP – Continuous Positive Airway Pressure; SES – Socioeconomic Status; OSA – Obstructive Sleep Apnea CPAP Adherence Interventions
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
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Sawyer et al. Page 30
Table 2
Typologies of Adherent and Nonadherent CPAP* Users
Adherent CPAP User Nonadherent CPAP User
Define risks associated with OSA*Unable to define risks associated with OSA
Identify outcome expectations from outset Describe few outcomes expectations
Have fewer barriers than facilitators Do not recognize own symptoms
Facilitators less important later with treatment use Describe barriers as more influential on CPAP use than facilitators
Develop and define goals and reasons for CPAP use Facilitators of treatment absent or unrecognized
Describe positive belief in ability to use CPAP even with
potential or experienced difficulties Describe low belief in ability to use CPAP
Proximate social influences prominent in decisions to pursue
diagnosis and treatment Describe early negative experiences with CPAP, reinforcing low belief in
ability to use CPAP
Unable to identify positive responses to CPAP during early treatment
*CPAP – Continuous Positive Airway Pressure; OSA – Obstructive Sleep Apnea
From Sawyer A, Deatrick JA, Kuna ST, Weaver TE. Differences in perceptions of the diagnosis and treatment of obstructive sleep apnea and
continuous positive airway pressure therapy among adherers and nonadherers. Qualitative Health Research 2010; 20: 873–92.
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
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Sawyer et al. Page 31
Table 3
Intervention Strategies to Promote CPAP* Adherence
Intervention Strategy & Description Impact on CPAP
Adherence Caveat
Educational NS*No stand-alone patient education intervention has been
effective
•Reinforced education by prescriber
•Reinforced education by homecare provider May influence patients’ return to clinical follow-up
•One-day education program using video,
demonstration, and discussion + spouse in established
CPAP users
All effective interventions that follow included patient
education
•Simple video education
Technological Pilot studies with relatively small sample sizes with
negative results; Large trial with positive results
•Telephone-linked communication + in new CPAP users at 6
months and 12 months
•Telehealth program + in experienced users at
12 weeks
•Tele-monitoring of CPAP treatment data NS Most technological intervention strategies were not
statistically effective for CPAP adherence but effect
sizes and trend toward statistical significance suggest
these may be effective strategies if tested in full studies
•Internet-based information, support, and feedback
system NS
Psychosocial Delivery of CBT prior to home treatment use effective
for increasing initial acceptance of CPAP (i.e., starting
treatment) and 1 month CPAP adherence
CBT may reduce rates of quitting treatment after
initiation
•CBT*+ delivered to small
groups, including partners/
spouses
+ effect on discontinuation
of CPAP
Pharmacological One published study
•Nonbenzodiazepine sedative-hypnotic agent + eszopiclone 3mg nightly
first 14 days of initial
CPAP treatment with
higher CPAP use at 6
months
May improve sleep quality, relaxation during initial
treatment exposure
Multidimensional Intensive home- and sleep- laboratory-support effective
for longer-term CPAP adherence
•Intensive support + for higher CPAP
adherence at 6 months
•Combination including education, relaxation, and
CPAP habituation + at 1 month for higher
CPAP adherence but not
longer term
Consideration of costs important for translation
*CPAP – Continuous Positive Airway Pressure; NS – Not Significant; CBT – Cognitive Behavior Therapy
Sleep Med Rev. Author manuscript; available in PMC 2012 December 1.
... Factors associated with adherence to CPAP are known to include OSA-related, comorbidity-related, socioeconomic and demographic factors [11]. The predictive value of these factors is weak and poorly reproducible, which prompts personalised treatment and encouragement by the clinical and technical staff when monitoring patients on CPAP. ...
... Surprisingly, we found that patients with depression were more likely to be adherent to CPAP in the longer term, whilst other recorded comorbidities did not impact adherence. The results on how depression is associated with adherence to CPAP are conflicting [11,29,30]. The other UK-based study by Meurling et al., which also investigated a remote CPAP pathway, did not find a significant association [9]. ...
... Of note, we noticed that patients who were continuously adherent tended to be older compared to those with continuous non-adherence or variable adherence. Gender and age are known to potentially affect adherence; however, a systematic review concluded that the results of the studies are contradictory; therefore, they need to be interpreted with caution [11]. As this was a service evaluation project, we did not investigate the relationship between age and CPAP preference in detail, as this could include complex socioeconomic factors which were not collected due to the nature of the project. ...
Article
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Background: Continuous positive airway pressure (CPAP) is the first-line treatment for obstructive sleep apnoea (OSA). Maintaining adherence to CPAP in the long term is a clinical problem, and numerous factors have been identified that impact adherence. Although fully remote diagnostic and CPAP services were frequently utilised during the COVID-19 pandemic for patients with OSA, long-term adherence data have not been published. The aim of this service evaluation project was to describe the long-term adherence to CPAP. We also analysed factors that are associated with it. Methods: two-hundred and eighty patients diagnosed with OSA and set up on CPAP remotely during the first wave of the COVID-19 pandemic as part of routine clinical practice were analysed. Results: One-hundred and seven patients (38%) were fully adherent to CPAP at 24 months, determined by at least 4 h of usage on at least 70% of the days. Of the factors analysed, body mass index, disease severity, driving status and the presence of depression were related to long-term adherence (all p < 0.05). Conclusions: with the likelihood of future pandemics similar to COVID-19, our data provide evidence that fully remote pathways for management of patients with OSA can be designed and be sustainable with good long-term adherence.
... Continuous positive airway pressure can maintain the airway in patients with sleep apnea by sending air through a mask on the nose and/or mouth and is widely used to treat both CSA and OSA. However, continuous positive airway pressure has limited adherence [11]. Although several compounds are reported to improve OSA [12,13], currently no drugs are approved by the US Food and Drug Administration for the treatment of CSA and OSA. ...
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... Approximately 50% of patients who start PAP therapy cannot tolerate long-term use. 18 Discomfort can be reduced with optimal fitting of the interface, use of the device's ramp setting (to gradually increase the pressure to the prescribed level each night), and adequate humidification. In some instances, capping the maximum pressure may improve tolerability. ...
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Obstructive sleep apnoea is the most common form of sleep-disordered breathing. It is characterised by recurrent occlusion of the airway during sleep. Ensuing apnoeas terminate in arousal from sleep and lead to non-restorative sleep, excessive daytime sleepiness and adverse cardiovascular and neurocognitive effects. A sleep study should be offered to patients reporting witnessed apnoeas or symptoms related to non-restorative sleep. It should also be considered in the presence of predisposing factors for obstructive sleep apnoea (e.g. obesity, tonsillar hypertrophy, retrognathia, refractory hypertension). Treatment should aim to improve symptoms and reduce cardiovascular and neurocognitive risk. The treatment approach should consider the symptom burden, severity, anatomical factors, and patient preference. Positive airway pressure is the most effective treatment option, although intolerance and non-adherence are common. Other options include positional therapy, oral appliances and upper airway surgery. Weight loss and optimisation of cardiovascular disease risk should be considered in selected patients.
... There is some evidence that continuous positive airway pressure (CPAP) adherence decreases the odds of AD dementia and slowed cognitive decline [95][96][97]. Importantly, a systematic review reported that PAP treatment adherence only covers mostly the first half of the night, which could potentially leave much of REM sleep OSA untreated, since REM sleep dominates the latter half of the night [98]. It will be critical for future investigations to examine whether more aggressive OSA treatment that covers the entire sleep period would mitigate cognitive impairment and AD risk in individuals with OSA. ...
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Background: Adherence to short-term continuous positive airway pressure (CPAP) may predict long-term use. Unfortunately, initial CPAP intolerance may lead to poor adherence or abandonment of therapy. Objective: To determine whether a short course of eszopiclone at the onset of therapy improves long-term CPAP adherence more than placebo in adults with obstructive sleep apnea. Design: Parallel randomized, placebo-controlled trial from March 2007 to December 2008. Randomization, maintained and concealed centrally by pharmacy personnel, was computer-generated using fixed blocks of 10. Referring physicians, investigators, and patients were blinded to the treatment assignment until after the final data were collected. (ClinicalTrials.gov registration number: NCT00612157) Setting: Academic sleep disorder center. Patients: 160 adults (mean age, 45.7 years [SD, 7.3]; mean apnea― hypopnea index, 36.9 events/h [SD, 23]) with newly diagnosed obstructive sleep apnea initiating CPAP. Intervention: Eszopiclone, 3 mg (n = 76), or matching placebo (n = 78) for the first 14 nights of CPAP. Measurements: Use of CPAP was measured weekly for 24 weeks. Adherence to CPAP (primary outcome) and the rate of CPAP discontinuation and improvements in symptoms (secondary outcomes) were compared. Follow-up at 1, 3, and 6 months was completed by 150, 136, and 120 patients, respectively. Results: Patients in the eszopiclone group used CPAP for 20.8% more nights (95% CI, 7.2% to 34.4%; P = 0.003), 1.3 more hours per night for all nights (CI, 0.4 to 2.2 hours; P = 0.005), and 1.1 more hours per night of CPAP use (CI, 0.2 to 2.1 hours; P = 0.019). The hazard ratio for discontinuation of CPAP was 1.90 (CI, 1.1 to 3.4; P = 0.033) times higher in the placebo group. Side effects were reported in 7.1 % of patients and did not differ between groups. Limitations: Patients had severe obstructive sleep apnea treated at a specialized sleep center with frequent follow-up; results may not be generalizable to different settings. Patients' tolerance to CPAP and their reasons for discontinuation were not assessed. Conclusion: Compared with placebo, a short course of eszopiclone during the first 2 weeks of CPAP improved adherence and led to fewer patients discontinuing therapy. Primary Funding Source: Sepracor.
Article
The benefits of continuous positive airway pressure (CPAP) therapy in patients with the sleep apnea/hypopnea syndrome (SAHS) are poorly documented and patients use CPAP less than physicians recommend. To establish patients' perceptions of benefit from CPAP and to identify determinants of CPAP use, 204 CPAP users completed a questionnaire relating to use of CPAP therapy, sleepiness, and road traffic incident rate before and after CPAP, perceived change in daytime function and nocturnal symptoms with treatment, and problems with CPAP. Variables from these domains of interest were examined, reduced through principal components analysis and correlated to assess associations between these and polysomnographic measures of illness severity. Self-reported CPAP use averaged 5.8±SD 2 h a night. Subjective sleepiness rated by the Epworth sleepiness scale and road traffic incident rate were significantly reduced by CPAP (p<0.0001). A broad range of function and symptom items were highly significantly improved with CPAP (p<0.0001), corroborating the cost to community and industry from SAHS and the preventive value of CPAP. Road traffic incident rate before treatment was correlated with pre-CPAP sleepiness and SAHS severity. Subjective CPAP use correlated with sleepiness before treatment but not with SAHS severity. CPAP mask problems and side effects were not associated with reduced CPAP use, but "nuisance" complaints of awakenings, noise, and sore eyes from CPAP correlated negatively with reported use. Greater reported CPAP use was associated with better resolution of sleepiness and greater improvement in daytime function and nocturnal symptoms.
Article
The present study examined the efficacy of a cognitive-behavioral intervention at improving compliance with CPAP and vigilance in older adults with obstructive sleep apnea/hypopnea syndrome (OSAHS). Participants included 12 subjects who were randomized into one of two groups controlling for age, education, disease severity, and vigilance. The experimental group received two 45-min sessions designed to educate subjects on the consequences of OSAHS and the efficacy of CPAP. The control group received the same extent of therapist contact but did not receive information on OSAHS or CPAP. All subjects were administered a test of vigilance both before and after the study. Compliance data were collected using CPAP devices with internal microprocessors at were read at 1, 4, and 12 weeks after treatment initiation. The results showed that the experimental condition did not enhance compliance after 1 week of treatment but did so by the 12-week follow-up. Subjects in the experimental condition had a run time of 3.2-h per night longer than did those in the control group. Those using CPAP more regularly at 12 weeks also showed greater improvement on vigilance at follow-up. Performance on vigilance testing before the introduction of CPAP was predictive of CPAP use at 12 weeks. In conclusion, a modest cognitive-behavioral intervention may substantially increase CPAP use and vigilance in older adults.