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Testing the Effect of a Home Health Heart Failure Intervention on Hospital Readmissions, Heart Failure Knowledge, Self-Care, and Quality of Life

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For older adults, heart failure (HF) has the highest 30-day hospital readmission rate of any chronic illness. Despite research into strategies to reduce readmissions, no single program has emerged as sustainable. The purpose of the current study was to test a researcher-developed home health nurse HF intervention (CareNavRN™) on 30-day readmission rates, HF knowledge, self-care, and quality of life (QOL) among 40 older adults transitioning home. Home health nurses received specialized HF training and visited patients once per week at home for 4 weeks. The control group (n = 21) had six readmissions (29%) and the intervention group (n = 19) had three readmissions (16%); however, the results were underpowered and statistically nonsignificant. Pre-/post-surveys demonstrated significant improvement in HF knowledge (p = 0.043), self-care confidence (p = 0.003), and QOL (p < 0.001) in the intervention group. CareNavRN is a promising approach to improve outcomes during transition from hospital to home for patients without access to a comprehensive disease management program. [Journal of Gerontological Nursing, 46(2), 32-40.].
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Testing the Effect of a Home Health
Heart Failure Intervention on Hospital
Readmissions, Heart Failure Knowledge,
Self-Care, and Quality of Life
Mary Ann Leavitt, PhD, RN, CHFN-K, CCRN-K; Debra J. Hain, PhD, ARNP, AGPCNP-BC, FAANP, FNKF;
Kathryn B. Keller, PhD, RN, CNE; and David Newman, PhD, MA, MS
ABSTRACT
For older adults, heart failure (HF) has the highest 30-day hospital readmission rate
of any chronic illness. Despite research into strategies to reduce readmissions, no
single program has emerged as sustainable. The purpose of the current study was
to test a researcher-developed home health nurse HF intervention (CareNavRN™) on
30-day readmission rates, HF knowledge, self-care, and quality of life (QOL) among
40 older adults transitioning home. Home health nurses received specialized HF
training and visited patients once per week at home for 4 weeks. The control group
(n = 21) had six readmissions (29%) and the intervention group (n = 19) had three
readmissions (16%); however, the results were underpowered and statistically non-
signi cant. Pre-/post-surveys demonstrated signi cant improvement in HF knowl-
edge (p = 0.043), self-care con dence (p = 0.003), and QOL (p < 0.001) in the inter-
vention group. CareNavRN is a promising approach to improve outcomes during
transition from hospital to home for patients without access to a comprehensive
disease management program. [Journal of Gerontological Nursing, 46(2), 32-40.]
There are more than 6.2 million
adults in the United States
with heart failure (HF), with
projected growth to >8 million by
2030, including a substantial in-
crease in HF incidence and preva-
lence in older adults (Benjamin et
al., 2019). Despite improvements
in guideline-directed therapy for
HF, it remains a frequent reason
for hospitalization of older adults
(Jalnapurkar et al., 2018). From
2001 to 2014, 75.3% of all adults
hospitalized with a primary or sec-
ondary diagnosis of HF were age
≥65 (Akintoye et al., 2017).
Care transitions and unplanned re-
admissions have been at the forefront
of health policy discussions since
2009 when a retrospective analysis
of >11 million Medicare bene cia-
ries revealed that approximately 20%
were readmitted within 30 days of
hospital discharge (Jencks, Williams,
& Coleman, 2009). HF is the most
frequent diagnosis linked to 30-day
readmissions; between 20% and 25%
of patients discharged with HF will
return to the hospital within 30 days
(Jalnapurkar et al., 2018). Readmis-
sion risk for patients with HF increas-
es each year after age 55 (Whellan
et al., 2016). Although the United
States’ Healthcare Readmission Re-
duction Program (HRRP) legislation
has demonstrated some success in re-
ducing HF readmissions, it has also
been associated with an alarming in-
crease in HF mortality (Gupta et al.,
2018).  e HRRP may have incen-
tivized hospitals to discharge patients
in a way that might actually decrease
their survival, which is an important
reason to determine the best strategy
for older adults transitioning from the
hospital to home (Gupta et al., 2018).
Successful transition to home with
HF involves self-care activities, such
Dr. Leavitt is Assistant Professor, Dr. Hain
is Blake Distinguished Professor, Dr. Keller is
Professor & Graduate Coordinator Nurse Ed-
ucator Concentration, and Dr. Newman is As-
sociate Professor and Statistician, Christine
E. Lynn College of Nursing, Florida Atlantic
University, Boca Raton, Florida.
The authors have disclosed no potential
con icts of interest, nancial or otherwise.
Address correspondence to Mary Ann
Leavitt, PhD, RN, CHFN-K, CCRN-K, Assistant
Professor, Christine E. Lynn College of Nurs-
ing, Florida Atlantic University, 777 Glades
Road, NU 344, Boca Raton, FL 33431; e-mail:
mleavit3@health.fau.edu.
Received: April 2, 2019
Accepted: September 6, 2019
doi:10.3928/00989134-20191118-01
32 Copyright © SLACK Incorporated
as medication management, diet
and weight monitoring, exercise, at-
tention to worsening symptoms,
and knowledge of when to contact a
health care provider (Riegel, Dickson,
& Faulkner, 2016). Although this
information is included in standard
discharge education, older adults may
have di culty understanding the dis-
ease process (i.e., HF knowledge) and
adapting to new dietary and medica-
tion regimens (i.e., HF self-care) as
they transition home (Hain, Tappen,
Diaz, & Ouslander, 2012; Riegel et
al., 2016). In addition, the stress of
hospitalization, including sleep de-
privation, physical deconditioning,
and nutritional de cit, contributes to
the generalized vulnerability of older
adults who are recently discharged
(Krumholz, 2013).
Recognizing that ine ective transi-
tions are a risk factor for 30-day HF
readmissions in older adults, many
researchers have focused their inter-
ventions on the transition process.
Studies have demonstrated some im-
provement in outcomes, but all with
limitations. One challenge has been
hospital sta nurse time for discharge
education (Albert et al., 2015). Even
though discharge teaching can help
reduce the risk for 30-day readmis-
sion (Kommuri, Johnson, & Koelling,
2012), most hospital nurses spend no
more than 5 to 15 minutes on this
important task (Albert et al., 2015).
Alternatively, some researchers
have sought to address HF readmis-
sions through telephone follow up or
telemonitoring, with mixed results. In
one study, post-discharge telephone
calls by lay navigators only slightly
reduced readmissions in older adults
(Balaban et al., 2015); in another
study, a combination of health coach-
ing telephone calls with telemonitor-
ing yielded no signi cant di erence in
readmissions (Ong et al., 2016); and
a systematic review and meta-analysis
of HF telemonitoring randomized
controlled trials (RCTs) revealed
no reduction in all-cause readmis-
sions (Inglis, Clark, Dierckx, Prieto-
Merino, & Cleland, 2015).  ese
ndings support the need for a dif-
ferent approach to this complex issue,
such as face-to-face relational connec-
tion with older adults transitioning
home with HF.
e importance of a face-to-face
connection was highlighted in several
systematic reviews of HF transitional
care interventions with older adults
(Van Spall et al., 2017; Verhaegh et
al., 2014). One of the most impor-
tant aspects that led to improved
clinical outcomes (i.e., decreased
30-day readmissions) was the indi-
vidual post-discharge support that
reinforced self-care (Van Spall et al.,
2017). Some studies have provided
this support by combining multidis-
ciplinary discharge education with
home visits, and although promising,
it has been di cult to determine the
critical elements of the intervention
(Stamp, Machado, & Allen, 2014;
Vedel & Khanassov, 2015). Several
studies on HF transitional care have
demonstrated that nurse-driven tran-
sitional programs, with at least weekly
contact, were one of the best ways to
reduce 30-day readmission (Van Spall
et al., 2017; Verhaegh et al., 2014).
Advanced practice nurses (APNs)
who received extensive geriatric train-
ing and made frequent home visits
over 3 months markedly decreased
readmissions of older adults at 1 year,
but the program cost was approxi-
mately double that of routine home
care (Naylor et al., 2004).
Educating home health RNs in the
specialized care of older adults who are
transitioning home with HF may be
an e ective strategy to improve self-
care and reduce 30-day readmissions.
Experienced home health nurses have
a particular skill set and comfort level
to assess and educate patients in their
own environment; these elements
could be especially useful for tran-
sitioning recently discharged older
adults with HF. With additional edu-
cation and training in HF manage-
ment, home health nurses may be the
answer, yet there is lack of evidence to
support this potentially cost-e ective
approach. In response to this need,
the current investigator developed
an intervention (CareNavRN™) for
home health nurses to receive special-
ized HF education and visit a sample
of older adult patients before and af-
ter hospital discharge.  e purpose of
the current study was to examine the
e ect of the CareNavRN interven-
tion on 30-day hospital readmissions,
HF knowledge, HF self-care, and HF
quality of life (QOL) in older adults
(i.e., age ≥65 years) with HF.
METHOD
Design
e current study was a RCT
of 40 older adults recruited from a
400-bed not-for-pro t hospital in
the southeastern United States. Each
participant had a primary or second-
ary diagnosis of HF and was random-
ized into an intervention (n = 19)
or control (n = 21) group. Initially,
76 patients were planned with 38 in
each group (p = 0.05; power = 80;
odds ratio = 2.12). Due to recruit-
ment challenges and potential in u-
ence of a larger competing study with
the same population, the sample was
limited to 40.  e hospital research
committee and the researcher’s uni-
versity Institutional Review Board ap-
proved the study protocols.
Procedure
Potential participants were identi-
ed from a daily report generated by
the hospital’s Quality Improvement
Department, which tracked patients
with indicators of high readmission
risk diagnoses. For patients with
HF indicators (e.g., elevated pro-B-
type natriuretic peptide, radiology
reports, diuretic medications), the
electronic medical record (EMR) was
reviewed by the investigator for a HF
diagnosis. Inclusion criteria for the
current study were: (a) score ≥3 on
the Mini-Cog™, a three-item word-
learning and recall task with a clock-
drawing distractor before word recall
(Borson, Scanlan, Chen, & Ganguli,
2003); (b) age ≥65; (c) a primary
or secondary diagnosis of HF; and
(d) residence within 20 miles of the
33
Journal of Gerontological Nursing | Vol 46 | No 2 | 2020
hospital for at least 30 days after dis-
charge. Patients unable to participate
in pre-/post-testing (i.e., those who
were non-English-speaking, had se-
vere and uncorrected hearing loss, or
dementia) were excluded. Informed
written consent was obtained, and pa-
tients were randomly assigned to the
intervention or control group using a
random number table.  e group as-
signment was not known until after
consent and randomization.
RNs who delivered the interven-
tion were invited from the sta of the
hospital’s home health department.
ese nurses had an interest in cardi-
ology and at least 2 years of experience
in home health. Six nurses volun-
teered for the study and all attended
6 hours of HF education based on the
Heart Failure Nursing Certi cation
Core Curriculum Review (Paul &
Kirkwood, 2015) taught by the inves-
tigator, who is a certi ed HF nurse.
ey were trained in the CareNavRN
study protocol and instrumentation.
CareNavRN Intervention
Patients in the intervention group
received one visit in the hospital by
the CareNavRN nurse followed by
four visits by that same nurse over
30 days post-discharge (Table A,
available in the online version of this
article).  e intention of using the
same nurse was to facilitate rapport
and develop the nurse/patient rela-
tionship. In most cases, each nurse
made the initial visit in the hospital
to meet the patient and provide a HF
education booklet. If study enroll-
ment occurred on discharge day be-
fore the home health nurse was able to
get to the hospital, she then called the
patient before discharge (n = 4). If the
patient was cognitively impaired and
a cohabiting family caregiver was in-
terested in participating in the study,
Mini-Cog and informed consent was
obtained from the caregiver and edu-
cation was provided to the patient and
caregiver (n = 2). All patients were vis-
ited at home within 72 hours of dis-
charge, with most being seen within
24 hours of discharge. A home visit
within 3 days is one component of
care shown to decrease 30-day read-
mission rates (Verhaegh et al., 2014).
e CareNavRN nurse provided
HF teaching, including pathophysi-
ology, symptoms, and medications,
according to a teaching plan that ac-
companied a patient education book-
let. During each home visit, the nurse
performed a physical assessment, ex-
amined the home environment, and
talked with the patient about how he/
she was assimilating the HF discharge
instructions into daily life (Table A).
e investigator, who accompanied
each CareNavRN nurse on at least
one home visit, assessed  delity to the
study protocol.
e control group received usual
care, which comprised printed and
verbal HF discharge education de-
livered by the primary hospital RN.
e intervention and control groups
received home health care, as is usual
for patients with a HF diagnosis. In
addition, the intervention group re-
ceived the CareNavRN intervention.
Instruments
During the initial hospital contact,
the investigator obtained informed
consent, collected baseline data, and
reviewed the EMR. Health indicators
measured to ensure comparability of
groups at baseline included the vari-
ables of depression (Geriatric Depres-
sion Scale-15; Sheikh & Yesavage,
1986), functional status (Lawton
Activities of Daily Living Scale; Graf,
2008), and health literacy (Newest
Vital Sign; Weiss et al., 2005).  e
CORE calculator, a statistical model
developed from chart data abstraction
(Yale-New Haven Hospital Center for
Outcomes Research and Evaluation,
2012), measured readmission risk.
e primary outcome of 30-day
hospital readmission post-discharge
was determined by patient self-report
at each visit for the intervention group
and with a post-survey for the control
group. Self-report for both groups was
validated by EMR review. Secondary
outcomes of HF knowledge, self-care,
and QOL were measured at enroll-
ment and 30 days post-discharge.  e
Dutch HF Knowledge Scale, a widely
used 15-item multiple-choice ques-
tionnaire on HF physiology, measured
HF knowledge and management.
is scale has a reported Cronbach’s
alpha of 0.62 (van der Wal, Jaarsma,
Moser, & van Veldhuisen, 2005).
Self-care was measured by the Self-
Care of HF Index (SCHFI) v.6.2, a
22-item, 4-point Likert scale measur-
ing the three self-care components of
maintenance, management, and con-
dence (Riegel, Lee, Dickson, & Carl-
son, 2009). Of 100 possible points, a
score ≥70 on each scale is considered
adequate self-care.  e HF main-
tenance scale (alpha = 0.55) helps
evaluate a patient’s daily activities to
prevent worsening symptoms, such
as diet, medication adherence, and
monitoring of weight and edema.  e
HF management scale (alpha = 0.60)
measures a patient’s response to wors-
ening symptoms, such as di culty
breathing or edema.  e HF con -
dence scale (alpha = 0.82) registers a
patient’s perceived ability to remain
symptom-free, follow treatment ad-
vice, recognize changes, and respond
promptly (Riegel et al., 2009). As the
SCHFI includes several dimensions
of self-care, Cronbach’s alpha may not
be the best measure of internal consis-
tency. In later testing, exploratory fac-
tor analysis identi ed sub-dimensions
and con rmatory factor analysis indi-
cated an excellent  t in all three scales
(Vellone et al., 2013).
QOL was measured by the Minne-
sota Living with HF Questionnaire,
a 21-item, 6-point Likert scale.  is
scale measures the physical, psycho-
logical, and social impact of HF, with
reported Cronbach alphas >0.80 for
all scale items (Heo, Moser, Riegel,
Hall, & Chrisman, 2005).
Data Analysis
To assess any potential di erences
between the intervention and control
groups on demographic characteris-
tics, chi-square tests were conducted
on categorical sociodemographic and
clinical variables. Likewise, to assess
34 Copyright © SLACK Incorporated
any potential di erences at baseline
between these groups on the outcome
variables (i.e., HF knowledge, self-
care, and QOL), independent sample
t tests were used. To test the e ective-
ness of the CareNavRN intervention
on the reduction of 30-day hospital
readmission rates between the inter-
vention and control groups, a chi-
square test was used, as the outcome
was a 2x2 contingency (Field, 2018).
e overall e ectiveness of the
CareNavRN intervention over time
was assessed using a repeated mea-
sures analysis of variance (ANOVA)
for measures of HF knowledge, three
constructs of HF self-care, and HF
QOL while controlling for individ-
ual di erences. Repeated measures
ANOVA is the most appropriate test
because it controls for the dependence
of measurement when tests are repeat-
ed over time (Stevens, 2009). Family-
wise adjustments were used for the
self-care scales.
RESULTS
ere were no signi cant dif-
ferences in baseline demographics,
clinical characteristics, calculated
readmission risk, or baseline out-
come measures for the two groups
(Table 1). Mean participant age was
82.7 years (SD = 8.27 years), 52.5%
were male, and 97.5% were White/
non-Hispanic. Most patients had a
primary diagnosis (65%) as well as a
history (63%) of HF. One patient in
the intervention group dropped out
after the  rst in-hospital CareNavRN
visit, citing stress of her hospital
course. Although the patient was not
readmitted, she did not receive any
home visits and was excluded from
analysis.
Hospital readmissions within
30 days occurred in six (29%) patients
in the control group and three (16%)
patients in the intervention group,
although results were underpowered
and non-signi cant. HF knowledge
improved signi cantly over time in
the intervention group (p = 0.043).
Self-care maintenance (p = 0.071) and
management (p = 0.480) improved
TABLE 1
Categorical Variables by Treatment Group (N = 40)
Variable
Control
Group
(n, %)
(n = 21)
Intervention
Group
(n, %)
(n = 19) p Value
Gender 0.921
Female 10 (47.6) 9 (47.4)
Male 11 (52.4) 10 (52.6)
Race/ethnicity 0.436
White/non-Hispanic 21 (100) 18 (97.5)
White/Hispanic 0 1 (2.5)
Education level 0.573
Some high school 2 (9.5) 0
Graduated high school 5 (23.8) 4 (21.1)
Some college 6 (28.6) 5 (26.3)
Graduated college 4 (19) 7 (36.8)
Master’s degree 2 (9.5) 2 (10.5)
Doctorate degree 2 (9.5) 1 (5.3)
Marital status 0.480
Married 12 (57.1) 9 (47.4)
Widowed 6 (28.6) 7 (36.8)
Divorced 2 (9.5) 3 (15.8)
Single/never married 1 (4.8) 0
Lives with 0.479
Spouse 10 (47.6) 8 (42.1)
Alone 6 (28.6) 9 (47.4)
Children 2 (9.5) 2 (10.5)
Signi cant other 1 (4.8) 0
Other family member 1 (4.8) 0
Friends 1 (4.8) 0
Hospital LOS (days) 0.830
1 to 3 8 (38.1) 6 (31.6)
4 to 5 10 (47.6) 8 (42.2)
6 to 10 2 (9.6) 3 (15.8)
11 to 20 1 (4.8) 2 (10.5)
ICU admission 0.709
No 19 (90.5) 18 (94.7)
Yes 2 (9.5) 1 (5.3)
35
Journal of Gerontological Nursing | Vol 46 | No 2 | 2020
over time in both groups. HF self-care
con dence improved signi cantly
over time in the intervention group
(p = 0.003). HF QOL demonstrated
signi cant improvement over time in
the intervention group (p < 0.001)
(Table 2). Of the three variables that
improved over time, only QOL sig-
ni cantly predicted readmission like-
lihood in both groups, irrespective of
intervention (χ2[1] = 3.86, p = 0.049,
Nagelkerke R2 = 0.17].
A post-hoc analysis was conducted
to assess for outcome di erences re-
lated to timing of the  rst home visit
(within 24 hours vs. 24 to 72 hours).
Four patients who received a tele-
phone call versus meeting the Care-
NavRN nurse in the hospital were
also analyzed post-hoc.  ere was
no signi cant di erence in readmis-
sions (χ2[1] = 0.18, p = 0.671) or
any signi cant di erence in change
over time for other outcomes regard-
ing home visit timing (p = 0.555 to
0.845) or hospital visit/telephone call
(p = 0.446 to 0.885).
DISCUSSION
Readmissions
ere were only one half as many
readmissions in the intervention
group compared to the control group.
It was originally hypothesized that im-
provement over time in the secondary
outcomes related to the intervention
would also result in fewer readmis-
sions. Unfortunately, the study was
underpowered, and the results were
non-signi cant. is intervention
may provide an approach to decrease
readmissions in older adults with HF,
although further testing with greater
numbers of participants should be
conducted before program initiation.
e CareNavRN intervention
uniquely combines three components
that have individually demonstrated
e ectiveness in reducing readmis-
sions in prior studies.  e rst com-
ponent is the face-to-face relational
interaction between the health care
provider and patient, which has dem-
onstrated decreased hospital readmis-
sions in other HF studies (Van Spall
TABLE 1
Categorical Variables by Treatment Group (N = 40)
Variable
Control
Group
(n, %)
(n = 21)
Intervention
Group
(n, %)
(n = 19) p Value
HF diagnosis
Primary 12 (57.1) 13 (68.4) 0.721
Secondary 9 (42.9) 6 (31.6) 0.945
History of HF 0.307
Yes 12 (57.1) 13 (68.4)
No 9 (42.9) 6 (31.6)
Depression (score)a0.660
No (0 to 5) 16 (76.1) 16 (84.2)
Suggested (>5) 4 (19) 3 (15.8)
Yes (>10) 1 (4.8) 0
Functional status (score)b0.208
Low (1 to 3) 5 (23.8) 2 (10.6)
Moderate (4 to 6) 1 (4.8) 4 (21)
High (7 to 8) 15 (71.4) 13 (68.5)
Health literacy (score)c0.322
Likely limited (0 to 1) 2 (9.5) 0
Possibly limited (2 to 3) 2 (9.5) 1 (5.3)
Adequate (4 to 6) 17 (81) 18 (94.7)
Ejection fraction (%) 0.513
15 to 19 0 2 (10.5)
20 to 29 4 (19) 1 (5.3)
30 to 39 2 (9.5) 1 (5.3)
40 to 49 2 (9.5) 3 (15.8)
50 to 59 9 (42.9) 9 (47.3)
60 to 69 3 (14.3) 3 (15.8)
70 to 79 1 (4.8) 0
Calculated readmission risk (%) 22.7 (4.5) 22.9 (4.7) 0.901
Note. LOS = length of stay; ICU = intensive care unit; HF = heart failure.
a Measured by the Geriatric Depression Scale-15; total score ranges from 0 to 15, with
scores >5 suggestive of depression and 10 almost always indicative of depression.
b Measured by the Lawton Activities of Daily Living Scale; total score ranges from 0
(low function, dependent) to 8 (high function, independent) .
c Measured by the Newest Vital Sign; total score ranges from 0 to 6, where 0 to 1 = high
likelihood of limited health literacy, 2 to 3 = possibility of limited health literacy, and
4 to 6 = adequate health literacy.
(CONTINUED)
36 Copyright © SLACK Incorporated
et al., 2017). Secondly, home visits
are an e ective way to assess imple-
mentation of discharge instructions
(Stamp et al., 2014; Verhaegh et al.,
2014). Weekly patient contact is the
third component of the CareNavRN
intervention.  is was supported by a
recent review of interventions to pre-
vent readmissions, which indicated
that potential patient challenges must
be assessed prior to discharge and that
transitional care programs should in-
clude some type of weekly follow-up
contact (Ziaeian & Fonarow, 2016).
Heart Failure Knowledge
e current results indicated sig-
ni cant improvement in change over
time for HF knowledge in the inter-
vention group compared to the con-
trol group. Knowledge de cit contin-
ues to be a problem in many patients
hospitalized with HF. Only 10% of
patients discharged from a hospital
with a high-volume disease manage-
ment program understood all six dis-
charge educational topics required by
e Joint Commission (Regalbuto,
Maurer, Chapel, Mendez, & Sha er,
2014). A comprehensive understand-
ing of HF signs and symptoms has
been associated with improved self-
care (Lee, Moser, & Dracup, 2018).
In the CareNavRN intervention, pa-
tients not only received instructions
prior to discharge, but also received
reinforcement and additional instruc-
tion in the subsequent four home
visits.
Self-Care Con dence
e CareNavRN intervention
demonstrated statistically signi cant
improvement in change over time
for HF self-care con dence in the
intervention group compared to the
control group. Adequate or improved
self-care con dence is associated
with improving day-to-day self-care
maintenance (Pancani et al., 2018).
Self-care con dence in older adults is
an important mediator between cog-
nition and self-care (Vellone et al.,
2015). Patients with adequate cogni-
tion may not be successful in self-care
due to low con dence, whereas those
with higher con dence may achieve
adequate self-care, even if cognitively
impaired (Vellone et al., 2015).  is
nding underscores the importance
of con dence in self-care activities.
Addressing concerns on an individual
basis with a compassionate, caring,
and knowledgeable professional, who
can formulate self-care solutions, may
help boost con dence in a person
transitioning home with HF.
Home health nurses with special-
ized HF training were used in the
CareNavRN study and most of the
patient education and support took
place in the home.  e CareNavRN
intervention demonstrated similar
self-care results as other studies us-
ing APNs (Graven, Gordon, Keltner,
TABLE 2
Control and Intervention Group Change Over Time for Heart Failure (HF) Knowledge,
Self-Care, and Quality of Life
Variable
Mean (SD)
Control Group Intervention Group
Pretest Posttest Pretest Posttest F(1,33) p Value η2
Dutch HF Knowledge
Scalea
10.71
(2.09)
11.76
(1.86)
11.33
(1.78)
13.44
(1.54)
3.13 0.043 0.09
SCHFIb
Maintenance 61.96
(14.72)
71.95
(17.16)
60.01
(14.99)
77.03
(14.81)
2.27 0.071 0.06
Management 34.41
(17.04)
48.12
(20.93)
42.50
(13.53)
53.14
(19.02)
0.00 0.480 0.00
Con dence 62.13
(24.48)
62.82
(23.67)
56.84
(15.32)
83.38
(15.36)
10.69 0.003 0.25
Minnesota Living With
HF Questionnairec
44.65
(17.72)
55.12
(26.66)
58.39
(17.15)
28.94
(18.08)
38.63 <0.001 0.54
Note. SCHFI = Self-Care of Heart Failure Index.
a Total possible score = 15, ranging from 0 (no knowledge) to 15 (optimal knowledge).
b Total possible score = 100, with a score 70 considered adequate self-care.
c Total score range = 0 to 105, where lower scores indicate better quality of life.
37
Journal of Gerontological Nursing | Vol 46 | No 2 | 2020
Abbott, & Bahorski, 2018) or RNs
(Dalal et al., 2019; Van Spall et al.,
2017).  e current  ndings indicate
that placing more emphasis on the
home visit can make a di erence in
self-care con dence.
Quality of Life
e QOL results in the interven-
tion group were perhaps the most
striking  ndings of the current study.
e average score of patients in the
control group indicated a signi cant
worsening of their QOL over time
(i.e., higher scores indicate worsening
QOL). It was surprising that the con-
trol group’s scores would decline to
such a degree. Conversely, the average
score of patients in the intervention
group indicated a signi cant positive
change over time associated with the
CareNavRN intervention. In other
studies on QOL during HF transi-
tions, control and intervention groups
experienced a generally positive e ect
on QOL (Stamp et al., 2014; Wang,
Dong, Jian, & Tang, 2017). Patients
who have relational support (such as
that provided by CareNavRN nurses)
and understand their medications,
dietary instructions, and exercise rec-
ommendations may be more likely
to believe that they can manage this
health challenge and experience im-
proved QOL (Rice, Say, & Betihavas,
2018).
PRACTICE AND RESEARCH
IMPLICATIONS
e challenge of HF readmissions
in older adults is multifaceted. Coor-
dinating care from hospital to home
involves improving communication
between the provider and patient, ed-
ucation of the patient and caregivers,
and monitoring of the patient in the
home environment.  e supportive
nurse/patient relationship found in
the CareNavRN intervention may be
able to bridge this gap for older adults.
is intervention can help patients
become con dent in self-care and
understand what to do when symp-
toms worsen. If the CareNavRN role
was to become standard practice for
home health HF care, geriatric clini-
cians might refer appropriate patients
to this specialized program. Referral
to this program would be especially
important for older adults if there are
no local HF management programs
or if transportation is a barrier to their
participation.
Repeating this study with more
patients over a longer follow-up pe-
riod (6 to 18 months) is needed
to determine lasting e ects of the
CareNavRN approach. Speci cally
for readmissions, type II error could
be avoided by increasing the number
of participants and thereby increasing
statistical power. Implementing the
CareNavRN intervention with a more
diverse population would yield more
generalizable results.  e addition of
an attention control group may help
elucidate which components of the
intervention were most e ective for
older adults with HF. It would also be
helpful to examine the QOL outcome
in light of the changes observed in the
intervention and control groups. Fur-
ther analysis of the impact of meeting
the CareNavRN nurse in the hospi-
tal is also warranted, as there was no
signi cant di erence in the outcomes
for the four patients who received a
telephone call and those who received
a visit.
LIMITATIONS
e CareNavRN study was a small,
single-center RCT with a homoge-
neous patient population, which along
with other variables, such as the time
spent in usual care discharge teach-
ing for the control group, could not
be controlled and consequently limits
generalizability.  ere was no atten-
tion control group, so the results may
be due to the time the CareNavRN
nurse spent with the patient and not
necessarily the intervention itself.  e
previously mentioned recruitment
challenges and competing study lim-
ited participants to 40, and as a result,
the study was underpowered. A larger
sample may have demonstrated statis-
tical signi cance for self-care mainte-
nance and readmissions. Regardless, it
is important to note any decrease in
readmissions, and the potential ben-
e ts of the nurse/patient relationship
in the CareNavRN intervention in-
vites further research.
CONCLUSION
E cient and e ective processes are
needed for transitional care of older
adults with HF, with the goal of re-
ducing hospital readmissions. Ade-
quate self-care includes education and
management support. Home health
care nurses already see many patients
with HF and nurses and patients may
bene t from the CareNavRN special-
ized training.  e CareNavRN nurse
has the advantage of developing a car-
ing and trusting relationship over time
with each patient during visits with
the patient and caregiver in the home
environment. Using the CareNavRN
intervention for older adults who do
not have access to a comprehensive
disease management program may
show promise to improve patient
quality care and health outcomes.
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40 Copyright © SLACK Incorporated
Table A
CareNavRN Intervention
Visit (time) Wee
k
Partici
p
ant Recruitment and Enrollmen
t
Hospital
Recruitment
by
Investigator
(30-45 min.)
1 -Potential participants identified from daily report from Quality Improvement
Department of patients with HF indicators (diagnosis, radiology, pro-BNP, diuretics),
then investigator review of EMR to determine if patients had HF diagnosis and met
inclusion criteria.
-Primary nurse provides study information Fact Sheet to potential participants
-Investigator meets with interested patients to discuss study; screens with Mini-Cog™;
obtains informed consent
-Patients randomized and CareNavRN nurse contacted for IG patients
-CG & IG baseline data collected: demographics, depression, functional status, health
literac
y
, and pre-intervention outcomes (HF knowled
g
e, self-care, & QOL)
CareNavRN Nurse Assessment Nurse Teaching Topic
from Education Booklet
Patient Tools from
Education Bookle
t
Hospital visit
by
CareNavRN
nurse
(30-60 min.)
1 -Review EMR, (medical history,
medication reconciliation, relevant
diagnostics, and discharge notes)
-Introduce, initiate rapport, provide
patient education booklet and begin
teaching
-Set up date/time for first home visit
within 24-72 hours
(Same CareNavRN nurse who
contacts patient in hospital will visit
atient at home)
-What is heart failure?
-Common symptoms of
HF
-Diagram of systolic
and diastolic HF
Home Visit 1
(within 24-72
hours of
hospital
discharge)
(60-90 min.)
1 Home environment assessment
-Available food items
-Fall risks, physical barriers/hazards
Family/social support assessment
-Referral needs
-Transportation
-Meals
Discussion of discharge plan of care
with patient & family caregiver*
Documentation of
-Weight; vital signs; heart & lung
sounds; edema*
-Skin/wounds; pain*
-Fatigue, dyspnea; exercise; mood*
-F/U apt; diet; fall risk*
-Medication changes and
management*
-Hospital or emergency department
visit since last visit*
-If worsening symptoms identified,
notification of provide
r
by
nurse*
-Medications to treat
HF & medication
management plan
-Low sodium diet and
fluid retention
-How to read labels &
kitchen inventory
-Worsening symptoms
and when to notify
provider
-Oxygen therapy (if
needed)
-Medication log
-Daily weight log
-List of high & low
sodium foods
-List of important
phone numbers
Home Visit
2
(45-60 min)
2 All of above (*) PLUS
-Check weight log & discuss
-Continued diet
education
-Tips to prevent
swellin
g
Daily food diary
Home Visit
3
(45-60 min)
3 All of above (*) PLUS
-Check weight and food logs and
discuss
-Introduce exercise and activity per
provider order
-Continued
reinforcement of topics
above
-Exercise and activity
per provider order
-Smoking cessation (if
needed)
Daily activity log
Home Visit
4
(45-60 min)
4 All of above (*) PLUS
-Review all topics
-Check weight, food, and activity
logs and discuss
-Address areas of concern
-Summarize progress
-Postintervention outcome data
collected (HF knowledge, self-care,
& QOL)
HF: Heart failure; EMR: Electronic medical record: CG: Control group; IG: Intervention group;
QOL: Quality of life; F/U: Follow-up
... The duration of intervention and the frequency of follow-up (FU) varied among these studies. The duration of intervention was 12 months in five studies (Boyde et al., 2018;Breathett et al., 2018;Chen et al., 2020;Cui et al., 2019;Mizukawa et al., 2019), 6 months in four studies (Chen et al., 2018;Chen et al., 2019;Sezgin et al., 2017;Wang et al., 2014), 1 month in three studies (Davis et al., 2012;Leavitt et al., 2020;Sales et al., 2013), 4 months in one study (Young et al., 2016), and 2 weeks in one study (Dinh et al., 2019). ...
... Four studies used computergenerated sequences (Boyde et al., 2018;Breathett et al., 2018;Chen et al., 2018;Cui et al., 2019). Seven studies did not clearly report the allocation concealment (Breathett et al., 2018;Chen et al., 2020;Chen et al., 2018;Davis et al., 2012;Leavitt et al., 2020;Sales et al., 2013;Sezgin et al., 2017). ...
... Results showed that SMS and STS significantly reduced all-cause readmission in 180 days of FU.Education-Based Self-Care Intervention. Six studies(Cui et al., 2019;Davis et al., 2012;Dinh et al., 2019;Leavitt et al., 2020;Mizukawa et al., 2019;Wang et al., 2014) evaluated an SM-intervention through education.Cui et al. (2019) determined the effect of a nurse-led education program on patient SM and hospital readmissions in rural Chinese patients with HF.Davis et al. (2012) examined the impact of a tailored educational intervention designed for patients with mild cognitive impairment (MCI) on 30-day hospital readmission. ...
Article
Full-text available
Background Heart failure (HF) is the most common condition for rehospitalization among people aged ≥65 years in the United States, with 35,197,725 hospitalizations between 2014 and 2017. Hospitalized patients with HF have the highest 30-day readmission rate (25%). Overall, HF management, despite its progress, remains a challenge. Although several studies have evaluated interventions designed to reduce HF-related hospital readmissions, research comparing their effectiveness remains insufficient. Purpose This systematic review and meta-analysis focused on studies that investigated the effectiveness of nonpharmacological interventions (NPIs) on reducing rehospitalization among patients with HF. Methods This review conformed to the preferred reporting items for systematic reviews and meta-analyses guidelines, used four databases: Cumulative index to Nursing and Allied Health Literature, PubMed, Cochrane, and Web of Science. Studies were included in the review according to the following criteria: (a) included only randomized control trials (RCTs), (b) included participants with HF who were over 18 years of age, (c) peer-reviewed, (d) written in English, and (e) rehospitalizations occurring within 30-day, 90-day, and 1 year of discharge from the initial hospitalization. Results Fourteen studies were included, with a total of 2,035 participants. Meta-analysis showed that rehospitalization was different between the intervention and usual care groups. The odds ratio was 0.54 (95% confidence interval [0.36, 0.82, p < 0.01]). Conclusions/Implications for Practice NPIs designed to increase HF knowledge and self-management may effectively reduce rehospitalization among HF patients. NPIs can be delivered at the patient's home through visits, phone calls, or digital platforms and technologies.
... 22,23,26,27,32 Self-care measurement scales determine three separate dimensions of self-care including maintenance, management, and confidence. 43 Consistent with the research explored in this review, the evidence indicates that confidence measures are associated with good day-to-day self-care maintenance. 43 Inclusion of caregivers in self-care education and using a teach-back approach suggest improved outcomes for heart failure patients. ...
... 43 Consistent with the research explored in this review, the evidence indicates that confidence measures are associated with good day-to-day self-care maintenance. 43 Inclusion of caregivers in self-care education and using a teach-back approach suggest improved outcomes for heart failure patients. 44 Caregiver inclusion was referenced in a limited number of studies reviewed, and the methodology of education was not described. ...
Article
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Aims Clinical guidelines recommend people with heart failure are managed within a multidisciplinary team to receive optimal evidence-based management of the syndrome. There is increasing evidence that Nurse Practitioners (NP) in heart failure demonstrate positive patient outcomes. However, their roles as key stakeholders in a multidisciplinary heart failure team are not clearly defined. The aim of the review was to explore the literature related to NP-sensitive outcomes in heart failure. Methods and results A scoping review was conducted according to accepted guidelines using the Joanna Briggs Institute framework for conducting a scoping review, to identify the literature that related to NP-sensitive outcomes in heart failure management. Sixteen texts were selected for data extraction and analysis. The most common outcome measures reported were readmission rates, self-care measurement scales, functional status scores, quality of life measurements, and medication optimization outcomes. No two studies collected or reported on the same outcome measurements. Conclusion This review highlights that the reporting of heart failure (HF) NP outcome indicators was inconsistent and disparate across the literature. The outcome measures reported were not exclusive to NP interventions. Nurse Practitioner roles are not clearly defined, and resulting outcomes from care are difficult to characterize. Standardized NP-specific outcome measures would serve to highlight the effectiveness of the role in a multidisciplinary HF team.
... 3,4 Heart failure is prevalent in older patients (21.1 older patients/1000 patient years). 5 Improved self-care management behaviors for this population are directly associated with better quality of life 6,7 and lower healthcarerelated costs, including hospital readmissions. 8,9 A wide range of interventions (eg, educational sessions) have shown improvements in HF self-care management behaviors. ...
Article
Background Heart failure (HF) self-care is key to managing symptoms, but current HF knowledge instruments are at risk for social desirability bias (ie, tendency to respond in a way that is viewed favorably). Vignettes may be a useful method to mitigate this bias by measuring knowledge via scenarios in which individuals with HF are invited to respond to fictional characters' self-management problems rather than disclosing their own practices. Objective The aims of the study were to develop and test the content validity of vignettes measuring individuals' knowledge of HF symptom self-management. Methods The study had 3 phases. In phase 1, two vignettes were developed. One focused on psychological symptom self-management (ie, anxiety, depression), and the other focused on physical symptom self-management (ie, edema, fatigue). In phase 2, the research team and lay experts made improvements to the vignettes' readability. In phase 3, five HF self-care nurse experts evaluated the vignettes' clarity and importance with a 3-point Likert-type scale using Delphi methods. We calculated the vignettes' content validity using the scale-level content validity index. Results The final content validation encompassed 2 Delphi rounds (phase 3), yielding a scale-level content validity index of 0.92 and 0.94 for the psychological and physical symptom vignettes, respectively. These results indicate excellent initial content validity. Conclusions The content of vignettes measuring individuals' knowledge of HF symptom self-management is valid based on the opinions of nurse experts. The vignettes offer a promising method to assess knowledge about HF self-care management without the pressure of disclosing individual patient practices.
... Interventions in the hospital-at-home service usually include adjusting medications, intravenous treatment, care for complex sores, pain control, the use of various feeding methods, home rehabilitation, and end of life support therapy as in terminal cancer or dementia. The most investigated indications for the hospital-athome service are specific conditions such as exacerbation of Chronic Obstructive Pulmonary Disease (COPD) or heart failure, acute skin infection, or pneumonia [7][8][9][10][11][12]. The treatment of these conditions through the hospitalat-home service leads to a reduction in the rate of emergency room visits and repeated hospitalizations and reduction of costs [13][14][15]. ...
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Background A model of hospital-at-home services called the Home Care Unit (“the unit”) has been implemented in the southern region of the Clalit Healthcare Services in Israel. The aim of the present study was to characterize this service model. Methods A retrospective cross-over study. included homebound patients 65 years of age and above who were treated for at least one month in the framework of the unit, between 2013 and 2020. We compared the hospitalization rate, the number of hospital days, the number of emergency room visits, and the cost of hospitalization for the six-month period prior to admission to the unit, the period of treatment in the unit, and the six-month period following discharge from the unit. Results The study included 623 patients with a mean age of 83.7 ± 9.2 years with a mean Mini-mental State Examination (MMSE) score of 12.0 ± 10.2, a mean Charlson Comorbidity Index (CCI) of 3.7 ± 2.2 and a Barthel Index score of 23.9 ± 25.1. The main indications for admission to the unit were various geriatric syndromes (56.7%), acute functional decline (21.2%), and heart failure (12%). 22.8% died during the treatment period and 63.4% were discharged to ongoing treatment by their family doctor after their condition stabilized. Compared to the six months prior to admission to the unit there was a significant decrease (per patient per month) in the treatment period in the number of days of hospitalization (2.84 ± 4.35 vs. 1.7 ± 3.8 days, p < 0.001) and in the cost of hospitalization (1606 ± 2170 vs. 1066 ± 2082 USD, p < 0.001). Conclusions Treatment of homebound adults with a high disease burden in the setting of a hospital-at-home unit can significantly reduce the number of hospital days and the cost of hospitalization. This model of service for homebound patients with multiple medical problems maintained a high level of care while reducing costs. The results support the widespread adoption of this service in the community to enable the healthcare system to respond to the growing population of elderly patients with medical complexity.
... In addition, chronic diseases are the leading causes of death and disability in the United States. Last, chronic diseases are the leading driver of annual health costs: an estimated $4.1 trillion (CDC, 2022) In many cases, individuals with chronic health conditions are unsuccessful in the self-management of their health, frequently resulting in multiple acute care admissions and readmissions into the hospital (Leavitt et al., 2019;Press et al., 2021). The need for effective case management with the chronic care population is clear. ...
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The number of Americans living with chronic health conditions has steadily increased. Chronic diseases are the leading causes of death and disability in the United States and cost the healthcare system an estimated $4.1 trillion dollars a year. The role of social workers in assisting patients in the management of their chronic diseases is vital. The behavioral health changes often required of chronic care management (CCM) patients require support and intervention by professionals to help the patient improve self-management of their chronic health conditions. Motivational interviewing (MI) is an evidence-based practice that helps people change by paying attention to the language patients use as they discuss their change goals and behaviors. Applying the principles and strategies of MI within the stages of change model (transtheoretical model of change) can help social workers better understand and assist patients receiving CCM. This article outlines specific strategies the social worker can use to address motivation at different stages of change.
... Pasien dengan perawatan mandiri yang lebih efektif memiliki kualitas hidup yang lebih baik, serta mengurangi kejadian kematian akibat gagal jantung (McDonagh et al., 2021). Penelitian lain juga menyebutkan hal serupa bahwa kemampuan pasien dalam melakukan perawatan mandiri (self care) juga merupakan faktor pendukung dalam proses pengobatan, menurunnya readmission serta meningkatnya kualitas hidup pasien (Leavitt et al., 2020). ...
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Gagal jantung menjadi masalah kesehatan yang progresif dengan angka mortalitas dan morbiditas yang tinggi di negara maju maupun negara berkembang. Tingginya angka readmission juga menyebabkan tingginya biaya perawatan yang harus dikeluarkan, oleh karena itu diperlukan pendekatan penanganan yang baik dengan meningkatkan efektifitas perawatan diri di rumah. Penelitian ini bertujuan untuk mengeksplorasi pemahaman yang mendalam tentang pengalaman, kebutuhan dan harapan pasien gagal jantung dalam melaksanakan perawatan dirinya (self care) di rumah. Penelitian ini menggunakan desain penelitian deskriptif kualitatif dengan pendekatan fenomenologi. Pemilihan partisipan diambil dengan cara purposive sampling sebanyak delapan orang. Pengumpulan data dilakukan dengan wawancara mendalam dengan membuat pertanyaan berdasarkan tujuan yang ingin dicapai. Data yang diperoleh dianalisis dengan menggunakan langkah-langkah Colaizzi sehingga dapat disimpulkan tema-tema sesuai pengalaman partisipan. Dari hasil analisa data ditemukan dua belas tema utama yaitu : (1) pengetahuan gagal jantung (2) Tanda dan gejala yang dialami (3) respon terhadap penyakit (4) mengatur pola makan (5) mengkonsumsi obat (6) olah raga dan aktifitas (7) kontrol ke dokter (8) hambatan yang dihadapi (9) dukungan keluarga (10) dukungan informasi (11) sumber informasi (12) harapan pasien. Melalui penelitian ini, kebutuhan pasien, kesulitan yang dihadapi serta harapan terhadap perawatan dirinya dapat teridentifikasi dengan jelas. Pasien gagal jantung yang melakukan perawatan diri di rumah membutuhkan dukungan keluarga serta dukungan informasi untuk dapat menjalankan program pengobatan dengan baik. Melalui penelitian ini dapat direkomendasikan untuk disusun media edukasi dan informasi yang dapat memudahkan pasien gagal jantung dalam melakukan perawatan dirinya di rumah sehingga harapan pasien untuk dapat ditangani dengan baik dapat terlaksana.
... Educational programs tailored to empower patients with HF on self-care showed significant improvement in their knowledge and practice (Awoke et al., 2019;Koirala et al., 2018;Leavitt et al., 2020). Nursing theory-guided educational programs have strongly emerged as an effective strategy to provide comprehensive care to clients. ...
Article
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Purpose To assess the knowledge and practice of self-care management among patients with heart failure (HF) after Roy adaptation theory-guided educational program. Methodology One group quasi-experimental pretest–posttest design of 30 purposively selected patients with HF was conducted. Outcomes were examined under three domains: knowledge, self-care maintenance, and monitoring pre- and post-intervention, using a validated instrument based on four adaptive modes of Roy's theory. Major results Most of the respondents were male (76.6%) and 56.7% were over 60 years of age. At the pretest, only 16.7% demonstrated adequate knowledge of self-care, and 76.7% reported poor practices in the domains of self-care maintenance and monitoring. Also, 90% scored poorly in self-care management. Knowledge of self-care practices increased at post-test (93.3%). There was a significant difference in knowledge ( t = 15.79, df = 29, p < .001) and practice ( t = 9.35, df = 29, p < .001) pre- and post-intervention. However, there was no significant association between selected demographic characteristics, knowledge, and self-care practice ( p > .05). Conclusion Knowledge and practice of self-care management are poor among patients with HF. However, theory-driven practice can enhance care and patients’ quality of life.
Article
Let's begin our assignment with a comprehensive account on what exactly is patient care in terms of a nurse's role. According to Dracup, Bryan-Brown, and Westlake (1994), patient care is any deliberate action which recognizes the patient's needs and which is formulated in such a way to directly meet those needs. May be the deliberate and planned management of a condition; the basis of patient-centered care is the delivery of high-quality medical care but the concern and priority regarding the patient's needs. This definition highly reflects the hands-on and proactive approach needed to care for a patient with chronic heart disease. Consideration and education are the foundations of patient-centered care based on respect and consideration for the patient's wants and needs. A nurse's role can largely lie in the teaching and examples set forth in leading a patient to a healthier way of life. In realizing a long-term management strategy, patient-centered care can be translated to nurse-centered care in the sense that often visits to a cardiac specialist may be sporadic and inconsistent. This leaves nurses as the consistent authority and advice for these patients in an outpatient setting. The global aim and nursing care for patients with ischemic heart disease is reducing complications, maximizing quality of life, and maintaining independence and functional capacity. Nurse care can effectively implement this through advice and education in secondary prevention therapy. General advice on quitting smoking, better diet, and more exercise can be transitional to more professional advice of a nurse specialized in the area. As said by Ho, Russell, and Phillips, conducted in the late 2008, "A higher level of nursing expertise has been associated with reduced mortality and readmission rates and increased quality of life for emergency and general medical patients." This noble nurse's teaching endeavor is implementing care in the patient's comfort and safety and highly upholding the global aim for CVD patient care. This aspect of care today is very valuable as the mass media of recent times has branded it as a "catch-all" for patient education, research, and health promotion. It is a large and open field with promising job opportunities as the prevention of chronic heart disease is a growing concern for public health experts. Easier access to medical services and medicine have propelled heart disease patients into longer and more comfortable lives. The benefit of this is more advocacy and care opportunities for nurses. Compensation can range from simple phone care or health consults to patient home visits and constant supervision. In some severe cases, this may transition to long-term care or hospice where a nurse provides the most support and is closest to fulfilling the patient advocate role. (Leavitt et al.2020)
Article
Aim To estimate the effects of nurse‐led self‐care interventions on people with heart failure (HF). Background Research evidence of the effects of nurse‐led HF self‐care interventions on patient outcomes is scant. Design A systematic review and meta‐analysis of randomised controlled trials (RCTs). Data Source s Six databases (MEDLINE, Embase, Web of Science, CENTRAL, CINAHL and PsycINFO) were searched from the inception to December 2022 to identify eligible studies. Methods RCTs published in English that evaluated the impact of nurse‐led HF self‐care interventions on quality of life, anxiety, symptom burden, sleep quality, healthcare service utilisation and mortality were included. The risk of bias in included studies was assessed using RoB 2.0. We conducted data syntheses using the R software and graded the quality of the evidence using the GRADE approach. The systematic review was conducted in accordance with the PRISMA. Results Twenty‐five studies with 2746 subjects were included. Our findings demonstrated, that compared to the controls, nurse‐led self‐care interventions improved QOL (SMD: .83, 95% CI: .50–1.15, moderate evidence), anxiety (MD: 1.39, 95% CI: .49–2.29, high evidence) and symptom burden (SMD: .81, 95% CI: .24–1.38, low evidence) in people with HF. No significant effects were found in all‐cause hospital readmission and all‐cause emergency department visit. Research evidence on sleep quality, cardiac‐related hospital readmission, cardiac‐related emergency department visit and all‐cause mortality remained unclear. Conclusions Our review suggests that nurse‐led HF self‐care interventions have favourable effects on the QOL, anxiety and symptom burden. Further, well‐designed RCTs are warranted to address the gaps identified in this review. Relevance to Clinical Practice The results indicated that nurse‐led HF self‐care interventions could improve QOL, anxiety and symptom burden in people with HF. Nurse‐led self‐care intervention could be integrated into current HF management practices.
Article
Background: Cardiovascular disease is the most common cause of death globally. Traditionally, centre-based cardiac rehabilitation programmes are offered to individuals after cardiac events to aid recovery and prevent further cardiac illness. Home-based and technology-supported cardiac rehabilitation programmes have been introduced in an attempt to widen access and participation, especially during the SARS-CoV-2 pandemic. This is an update of a review previously published in 2009, 2015, and 2017. Objectives: To compare the effect of home-based (which may include digital/telehealth interventions) and supervised centre-based cardiac rehabilitation on mortality and morbidity, exercise-capacity, health-related quality of life, and modifiable cardiac risk factors in patients with heart disease SEARCH METHODS: We updated searches from the previous Cochrane Review by searching the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (Ovid), Embase (Ovid), PsycINFO (Ovid) and CINAHL (EBSCO) on 16 September 2022. We also searched two clinical trials registers as well as previous systematic reviews and reference lists of included studies. No language restrictions were applied. Selection criteria: We included randomised controlled trials that compared centre-based cardiac rehabilitation (e.g. hospital, sports/community centre) with home-based programmes (± digital/telehealth platforms) in adults with myocardial infarction, angina, heart failure, or who had undergone revascularisation. Data collection and analysis: Two review authors independently screened all identified references for inclusion based on predefined inclusion criteria. Disagreements were resolved through discussion or by involving a third review author. Two authors independently extracted outcome data and study characteristics and assessed risk of bias. Certainty of evidence was assessed using GRADE. Main results: We included three new trials in this update, bringing a total of 24 trials that have randomised a total of 3046 participants undergoing cardiac rehabilitation. A further nine studies were identified and are awaiting classification. Manual searching of trial registers until 16 September 2022 revealed a further 14 clinical trial registrations - these are ongoing. Participants had a history of acute myocardial infarction, revascularisation, or heart failure. Although there was little evidence of high risk of bias, a number of studies provided insufficient detail to enable assessment of potential risk of bias; in particular, details of generation and concealment of random allocation sequencing and blinding of outcome assessment were poorly reported. No evidence of a difference was seen between home- and centre-based cardiac rehabilitation in our primary outcomes up to 12 months of follow-up: total mortality (risk ratio [RR] = 1.19, 95% confidence interval [CI] 0.65 to 2.16; participants = 1647; studies = 12/comparisons = 14; low-certainty evidence) or exercise capacity (standardised mean difference (SMD) = -0.10, 95% CI -0.24 to 0.04; participants = 2343; studies = 24/comparisons = 28; low-certainty evidence). The majority of evidence (N=71 / 77 comparisons of either total or domain scores) showed no significant difference in health-related quality of life up to 24 months follow-up between home- and centre-based cardiac rehabilitation. Trials were generally of short duration, with only three studies reporting outcomes beyond 12 months (exercise capacity: SMD 0.11, 95% CI -0.01 to 0.23; participants = 1074; studies = 3; moderate-certainty evidence). There was a similar level of trial completion (RR 1.03, 95% CI 0.99 to 1.08; participants = 2638; studies = 22/comparisons = 26; low-certainty evidence) between home-based and centre-based participants. The cost per patient of centre- and home-based programmes was similar. Authors' conclusions: This update supports previous conclusions that home- (± digital/telehealth platforms) and centre-based forms of cardiac rehabilitation formally supported by healthcare staff seem to be similarly effective in improving clinical and health-related quality of life outcomes in patients after myocardial infarction, or revascularisation, or with heart failure. This finding supports the continued expansion of healthcare professional supervised home-based cardiac rehabilitation programmes (± digital/telehealth platforms), especially important in the context of the ongoing global SARS-CoV-2 pandemic that has much limited patients in face-to-face access of hospital and community health services. Where settings are able to provide both supervised centre- and home-based programmes, consideration of the preference of the individual patient would seem appropriate. Although not included in the scope of this review, there is an increasing evidence base supporting the use of hybrid models that combine elements of both centre-based and home-based cardiac rehabilitation delivery. Further data are needed to determine: (1) whether the short-term effects of home/digital-telehealth and centre-based cardiac rehabilitation models of delivery can be confirmed in the longer term; (2) the relative clinical effectiveness and safety of home-based programmes for other heart patients, e.g. post-valve surgery and atrial fibrillation.
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Background: Cardiac rehabilitation improves health-related quality of life (HRQoL) and reduces hospitalizations in patients with heart failure, but international uptake of cardiac rehabilitation for heart failure remains low. Design and methods: The aim of this multicentre randomized trial was to compare the REACH-HF (Rehabilitation EnAblement in CHronicHeart Failure) intervention, a facilitated self-care and home-based cardiac rehabilitation programme to usual care for adults with heart failure with reduced ejection fraction (HFrEF). The study primary hypothesis was that the addition of the REACH-HF intervention to usual care would improve disease-specific HRQoL (Minnesota Living with Heart Failure questionnaire (MLHFQ)) at 12 months compared with usual care alone. Results: The study recruited 216 participants, predominantly men (78%), with an average age of 70 years and mean left ventricular ejection fraction of 34%. Overall, 185 (86%) participants provided data for the primary outcome. At 12 months, there was a significant and clinically meaningful between-group difference in the MLHFQ score of -5.7 points (95% confidence interval -10.6 to -0.7) in favour of the REACH-HF intervention group ( p = 0.025). With the exception of patient self-care ( p < 0.001) there was no significant difference in other secondary outcomes, including clinical events ( p > 0.05) at follow-up compared with usual care. The mean cost of the REACH-HF intervention was £418 per participant. Conclusions: The novel REACH-HF home-based facilitated intervention for HFrEF was clinically superior in disease-specific HRQoL at 12 months and offers an affordable alternative to traditional centre-based programmes to address current low cardiac rehabilitation uptake rates for heart failure.
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Background: To investigate heart failure (HF) hospitalization trends in the United States and change in trends after publication of management guidelines. Methods and results: Using data from the National Inpatient Sample and the US Census Bureau, annual national estimates in HF admissions and in-hospital mortality were estimated for years 2001 to 2014, during which an estimated 57.4 million HF-associated admissions occurred. Rates (95% confidence intervals) of admissions and in-hospital mortality among primary HF hospitalizations declined by an average annual rate of 3% (2.5%-3.5%) and 3.5% (2.9%-4.0%), respectively. Compared with 2001 to 2005, the average annual rate of decline in primary HF admissions was more in 2006 to 2009 (ie, 3.4% versus 1.1%; P=0.02). In 2010 to 2014, primary HF admission continued to decline by an average annual rate of 4.3% (95% confidence interval, 3.9%-5.1%), but this was not significantly different from 2006 to 2009 (P=0.14). In contrast, there was no further decline in in-hospital mortality trend after the guideline-release years. For hospitalizations with HF as the secondary diagnosis, there was an upward trend in admissions in 2001 to 2005. However, the trend began to decline in 2006 to 2009, with an average annual rate of 2.4% (95% confidence interval, 0.8%-4%). Meanwhile, there was a consistent decline in in-hospital mortality by an average annual rate of 3.7% (95% confidence interval, 3.3%-4.2%) during the study period, but the decline was more in 2006 to 2009 compared with 2001 to 2005 (ie, 5.4% versus 3.4%; P<0.001). Beyond 2009, admission and in-hospital mortality rates continued to decline, although this was not significantly better than the preceding interval. Conclusions: From 2001 to 2014, HF admission and in-hospital mortality rates declined significantly in the United States; the greatest improvements coincided with the publication of the 2005 American College of Cardiology/American Heart Association HF guidelines.
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Background One of the most important challenges in public health is to improve the quality of life in patients with chronic heart failure (CHF). Depression, self-care capacity, and quality of life interact each other in these patients. It’s difficult to treat with general education programs and conventional therapy. PRECEDE model is a comprehensive and exclusive theory-based education programs. Its effectiveness for reducing depression and increasing quality of life has been demonstrated in patients with coronary artery bypass grafting, type 2 diabetes, and the elderly. It has not been used in elderly patients with CHF. Thus, this study aims to investigate the effects of this model on self-care behaviors, depression, and quality of life in these patients. Methods Patients who met the inclusion criteria were randomly assigned to the intervention or control group. All the patients received conventional medical care. The patients in the intervention group also received 9 sessions of education intervention based on the PRECEDE model and then followed up for 3 months after the intervention. Data were collected before and 3 months after the intervention using 4 questionnaires, namely a PRECEDE-based questionnaire to evaluate predisposing, reinforcing, and enabling factors; the 9-item European Heart Failure Self-care Behavior Scale (EHFScBS-9); the 9-item Personal Health Questionnaire (PHQ-9); and the Minnesota Living with Heart Failure Questionnaire (MLHFQ). ResultsNo significant differences were found in the mean scores for the predisposing, enabling, and reinforcing factors, and the mean total scores in EHFScBS-9, PHQ-9, and MLHFQ before the intervention between the intervention and control groups. After the intervention, the scores for the predisposing, reinforcing, and enabling factors increased significantly, and the mean total scores in EHFScBS-9, PHQ-9, and MLHFQ decreased significantly in the intervention group. In addition, these scores significantly differed from those of the control group. Furthermore, the MLHFQ score significantly correlated with the EHFScBS-9 and PHQ-9 scores. Conclusion This study demonstrates a trend that PRECEDE model of health education promotion is effective in relieving depression symptoms, enhancing self-monitoring, and improving the quality of life of elderly patients with CHF. Trial registrationTrial registration number: ChiCTR-IOR-17012779; Trial registry: Chinese Clinical Trial Registry; Date registered: 22 Sep 2017; Retrospectively registered.
Article
Purpose: Heart failure (HF) affects up to 14% of the elderly population and its prevalence is increasing. Self-care is fundamental to living successfully with this syndrome, but little is known about how self-care evolves over time. The present study aimed to (a) identify longitudinal trajectories of self-care confidence and maintenance among HF patients, (b) investigate whether each trajectory is characterized by specific sociodemographic and clinical patients' characteristics, and (c) assess the association between the self-care confidence and maintenance trajectories. Method: We conducted a prospective descriptive study of 225 HF patients followed for 6 months with data collected at baseline and 3 and 6 months. Latent class growth analysis (LCGA) was used to identify longitudinal trajectories. ANOVA and contingency tables were used to characterize trajectories and investigate their association. Results: Three self-care confidence (persistently poor, increasingly adequate, and increasingly optimal) and three self-care maintenance (persistently poor, borderline but improving, and increasingly good) trajectories were identified. Married individuals were less likely to be in the persistently poor trajectory of self-care confidence. Patients with persistently poor self-care maintenance took fewer medications than patients with one of the better self-care maintenance trajectories. The two sets of trajectories were significantly and meaningfully associated. Conclusion: Patients in a poor self-care trajectory (confidence or maintenance) are at high risk to stay there without improving over time. These results can be used to develop tailored and potentially more effective health care interventions.
Article
Background Medicare utilizes 30-day risk-standardized readmission rates (RSRR) as a measure of hospital quality and applies penalties based on this measure. The objective of this study was to identify the relationship between hospital performance on 30-day RSRR in heart failure (HF) patients and long-term patient survival. Methods Data were collected from Get With The Guidelines (GWTG)-HF and linked with Medicare data. Based on hospital performance for 30-day RSRR, hospitals were grouped into performance quartiles: top 25% (N=11,181), 25-50% (N=10,367), 50-75% (N=8729), and bottom 25% (N=7180). The primary outcome was mortality at 3 years applying Cox proportional hazards regression adjusted for patient and hospital characteristics. Results The overall 30-day readmission rate was 19.8% and the 3-year mortality rates were 61.8%, 61.0%, 62.6%, and 59.9% for top 25%, 25-50%, 50-75%, and bottom 25% hospitals for 30-day RSRR performance, respectively. Compared to bottom 25% performing hospitals, adjusted hazard ratios (HR) for 3-year mortality were HR 0.96 (95% confidence interval [CI] 0.90-1.01), HR 0.89 (95% CI 0.84-0.94), HR 1.01 (95% CI 0.95-1.06) for the top 25%, 25-50% and 50-75% hospitals respectively. Median survival time was highest for the bottom 25% hospitals on the 30-day RSRR metric. Conclusion Hospital performance on 30-day readmissions in HF has no or little association with risk adjusted 3-year mortality or median survival. There is a compelling need to utilize more meaningful and patient-centered outcome measures for reporting and incentivizing quality care for HF.
Article
Background: Although incomplete understanding of heart failure and its signs and symptoms appears to be a barrier to successful self-care, there are few studies examining the relationship between self-care and levels of comprehensive understanding of heart failure and its signs and symptoms. Aim: To determine whether incomplete understanding of heart failure and its signs and symptoms is associated with self-care in heart failure patients who were recently discharged from the hospital due to heart failure exacerbation. Methods: Patients completed the nine-item European Heart Failure Self-care Behavior scale and questionnaire to assess knowledge of heart failure and its signs and symptoms. Three groups were formed by their different levels of understanding of heart failure and its signs and symptoms. Multivariable linear regression was used to determine whether these three levels of understanding groups predicted self-care after controlling for demographic and clinical variables. Results: Of 571 patients 22.1%, 40.1% and 37.8% had poor, moderate, and complete understanding, respectively. Compared with patients in the poor understanding group, patients in complete and moderate understanding groups were more likely to have better adherence to self-care activities (standardized β = -0.14, 95% confidence interval -3.41, -0.47; standardized β = -0.19, 95% confidence interval -4.26, -1.23, respectively). Conclusions: Fewer than half of the patients had a comprehensive understanding of heart failure and its signs and symptoms, which was associated with poor self-care. Our study suggests that patient education should include contents to promote comprehensive understanding of heart failure and its symptoms, as well as the importance of self-care behaviors.
Article
Importance Public reporting of hospitals’ 30-day risk-standardized readmission rates following heart failure hospitalization and the financial penalization of hospitals with higher rates have been associated with a reduction in 30-day readmissions but have raised concerns regarding the potential for unintended consequences. Objective To examine the association of the Hospital Readmissions Reduction Program (HRRP) with readmission and mortality outcomes among patients hospitalized with heart failure within a prospective clinical registry that allows for detailed risk adjustment. Design, Setting, and Participants Interrupted time-series and survival analyses of index heart failure hospitalizations were conducted from January 1, 2006, to December 31, 2014. This study included 115 245 fee-for-service Medicare beneficiaries across 416 US hospital sites participating in the American Heart Association Get With The Guidelines-Heart Failure registry. Data analysis took place from January 1, 2017, to June 8, 2017. Exposures Time intervals related to the HRRP were before the HRRP implementation (January 1, 2006, to March 31, 2010), during the HRRP implementation (April 1, 2010, to September 30, 2012), and after the HRRP penalties went into effect (October 1, 2012, to December 31, 2014). Main Outcomes and Measures Risk-adjusted 30-day and 1-year all-cause readmission and mortality rates. Results The mean (SD) age of the study population (n = 115 245) was 80.5 (8.4) years, 62 927 (54.6%) were women, and 91 996 (81.3%) were white and 11 037 (9.7%) were black. The 30-day risk-adjusted readmission rate declined from 20.0% before the HRRP implementation to 18.4% in the HRRP penalties phase (hazard ratio (HR) after vs before the HRRP implementation, 0.91; 95% CI, 0.87-0.95; P < .001). In contrast, the 30-day risk-adjusted mortality rate increased from 7.2% before the HRRP implementation to 8.6% in the HRRP penalties phase (HR after vs before the HRRP implementation, 1.18; 95% CI, 1.10-1.27; P < .001). The 1-year risk-adjusted readmission and mortality rates followed a similar pattern as the 30-day outcomes. The 1-year risk-adjusted readmission rate declined from 57.2% to 56.3% (HR, 0.92; 95% CI, 0.89-0.96; P < .001), and the 1-year risk-adjusted mortality rate increased from 31.3% to 36.3% (HR, 1.10; 95% CI, 1.06-1.14; P < .001) after vs before the HRRP implementation. Conclusions and Relevance Among fee-for-service Medicare beneficiaries discharged after heart failure hospitalizations, implementation of the HRRP was temporally associated with a reduction in 30-day and 1-year readmissions but an increase in 30-day and 1-year mortality. If confirmed, this finding may require reconsideration of the HRRP in heart failure.
Article
Objective The purpose of this systematic review was to highlight the effect of nurse-led 1:1 patient education sessions on Quality of Life (QoL), readmission rates and healthcare costs for adults with heart failure living independently in the community. Method A systematic review of randomised control trials was undertaken. Using the search terms nurse, education, heart failure, hospitalisation, readmission, rehospitalisation, economic burden, cost, expenditure and quality of life in PubMed, CINAHL and Google Scholar databases were searched. Papers pertaining to nurse-led 1:1 HF disease management of education of adults in the community with a history of HF were reviewed. Result The results of this review identified nurse-led education sessions for adults with heart failure contribute to reduction in hospital readmissions, reduction in hospitalisation and a cost benefit. Additionally, higher functioning and improved QoL were also identified. Conclusion These results suggest that nurse-led patient education for adults with heart failure improves QoL and reduces hospital admissions and readmissions. Practice Implications Nurse-led education can be delivered utilising diverse methods and impact to reduce readmission as well as hospitalisation.