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Implementation of Quality Improvement Skills by Primary Care Teams: Case Study of a Large Academic Practice

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Journal of Primary Care & Community Health
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Abstract and Figures

Continuous quality improvement (QI) is important to primary care in general, and is emphasized as a key tenet of the primary care patient-centered medical home (PCMH) model. While team-based QI activities within the PCMH model are expected, concerns exist as to how successful efforts have been at implementing team-driven QI projects. To (a) identify opportunities and challenges to QI efforts in a large primary care practice in order to (b) develop action plans to facilitate QI work into primary care teams. We obtained qualitative and quantitative information about existing primary care team QI initiatives. Eleven interdisciplinary primary care teams and 4 facilitators/coaches. We conducted unstructured interviews and gathered documentation from primary care team members about QI efforts to (a) characterize team-based QI progress and (b) identify barriers and facilitators. In the 18 months since local leadership prioritized conducting team-based QI projects, team members described multiple exposures to QI training, coaching resources, and data/analysis support. No team developed a formal aim statement. Six of the 11 teams completed any steps beyond the initial team discussion. Four teams attempted to apply an intervention. Challenges included team time and competing demands/priorities; 3 of the 4 teams attempting to implement a project credited a data/informatics facilitator for their progress. In this large academic primary care clinic setting, interdisciplinary team training in QI, support for data collection, and dedicated coaching resources produced few sustainable continuous QI initiatives. Several potentially modifiable barriers to initiation, completion, and sustainability of QI initiatives by primary care teams were identified.
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Journal of Primary Care & Community Health
2014, Vol. 5(2) 101 –106
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DOI: 10.1177/2150131913520601
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Case Study
Introduction
Background Knowledge
Improving care delivery through evidence-based continu-
ous quality improvement (QI) is a key component of the
patient-centered medical home (PCMH) model.1-3 PCMH
team members are expected and encouraged to work
together to implement improvement initiatives to enhance
the quality of care for their patients. In theory, the PCMH
model is well suited to QI work because of its emphasis on
longitudinal multidisciplinary patient-centered collabora-
tions.4,5 However, little is still known about QI work
within the context of PCMH teams6,7 despite the recent
rapid uptake of the PCMH model by large health care sys-
tems such as the Veterans Health Administration (VHA).8
To begin to address this knowledge gap, we initiated an
examination of QI work in our local PCMH clinic
environment.
Local Context
Our large academic primary care practice converted to a
PCMH care model in May 2011. This transformation was
part of VHA’s (our clinic’s health care system) large-
scale effort to move to the PCMH model (known within
VHA as patient-aligned care teams or “PACT”).8 As part
of PCMH implementation, clinical staff engagement in
QI work was encouraged via several system-wide initia-
tives, including distribution of nationally developed
520601JPCXXX10.1177/2150131913520601Journal of Primary Care & Community HealthWatts et al
research-article2014
1Louis Stokes Cleveland Department of Veterans Affairs Medical Center,
Cleveland, OH, USA
2Case Western Reserve University School of Medicine, Cleveland,
OH, USA
Corresponding Author:
Brook Watts, Louis Stokes Cleveland Department of Veterans Affairs
Medical Center, 10701 East Boulevard (111W), Cleveland, OH 44106, USA.
Email: brook.watts@va.gov
Implementation of Quality Improvement
Skills by Primary Care Teams: Case
Study of a Large Academic Practice
Brook Watts1,2, Renée H. Lawrence1, Simran Singh1,2, Carol Wagner1,
Sarah Augustine1,2, and Mamta K. Singh1,2
Abstract
Background: Continuous quality improvement (QI) is important to primary care in general, and is emphasized as a
key tenet of the primary care patient-centered medical home (PCMH) model. While team-based QI activities within
the PCMH model are expected, concerns exist as to how successful efforts have been at implementing team-driven QI
projects. Objective: To (a) identify opportunities and challenges to QI efforts in a large primary care practice in order to
(b) develop action plans to facilitate QI work into primary care teams. Design: We obtained qualitative and quantitative
information about existing primary care team QI initiatives. Participants: Eleven interdisciplinary primary care teams
and 4 facilitators/coaches. Methods: We conducted unstructured interviews and gathered documentation from primary
care team members about QI efforts to (a) characterize team-based QI progress and (b) identify barriers and facilitators.
Results: In the 18 months since local leadership prioritized conducting team-based QI projects, team members described
multiple exposures to QI training, coaching resources, and data/analysis support. No team developed a formal aim
statement. Six of the 11 teams completed any steps beyond the initial team discussion. Four teams attempted to apply an
intervention. Challenges included team time and competing demands/priorities; 3 of the 4 teams attempting to implement
a project credited a data/informatics facilitator for their progress. Conclusions: In this large academic primary care clinic
setting, interdisciplinary team training in QI, support for data collection, and dedicated coaching resources produced few
sustainable continuous QI initiatives. Several potentially modifiable barriers to initiation, completion, and sustainability of
QI initiatives by primary care teams were identified.
Keywords
primary care, patient-centered care, patient care team, quality improvement
102 Journal of Primary Care & Community Health 5(2)
materials that encouraged team-centered QI activities and
discussions of QI-related topics at national PCMH meet-
ings.9 In our local context, a variety of QI training oppor-
tunities were offered, including (a) basic training in
QI-specific methodology (2 separate 2-hour sessions) and
(b) a 2-day Yellow-Belt Lean Six Sigma certification pro-
gram that covered introduction to QI methodology, iden-
tification and incorporation of optimal tools to address
clinical quality challenges, and completion of a final writ-
ten test for certification.10
Additionally, consistent with prior work suggesting that
formal training in QI may not be sufficient for successful
implementation of improvement techniques,11-13 other
QI-specific resources were also provided to staff: at least 2
hours weekly without direct patient care responsibilities,
open access to local QI experts, assistance with data gath-
ering, and access to a project coach with Lean Six-Sigma
master black belt certification.
Here, we report a case study to better understand how
successful resources have been at enabling QI work by
PCMH teams. We examine (a) progress of QI work and
(b) the barriers and/or facilitators to QI work reported
by PCMH teams. We use the Standards for Quality
Improvement Reporting Excellence (SQUIRE) frame-
work to report our findings.14
Methods
Data Collection and Analysis
In order to understand QI project progress and to identify
challenges and facilitators to QI work, we performed unstruc-
tured interviews with PCMH team members. Face-to-face
discussion occurred with at least one member of each of the
clinical teams, and in most cases, multiple members.
Consistent with frameworks for understanding factors related
to successful implementation (eg, RE-AIM: Reach
Effectiveness Adoption Implementation Maintenance; CFIR:
Consolidated Framework for advancing Implementation
Research),15,16 these interviews were used in conjunction
with documentation (eg, aim statements) gathered from team
members to characterize the team QI work and to identify
challenges and facilitators to project implementation.
Ethical Issues
Discussions with team members were informal and volun-
tary. No names are included in the summary of projects,
though local identification of specific team projects is pos-
sible. To ensure a variety of perspectives, we sought author-
ship representation on this article to include facility clinical
(SA) and quality (BW) leadership, PCMH providers (SS,
MKS), and a PCMH nurse case manager (CW).
Setting
Our work focused on the Louis Stokes Cleveland Veterans
Affairs Medical Center outpatient primary care clinic
site, an inner-city campus with numerous physician and
nurse practitioner trainees. Within the clinic, there are 11
PCMH teams, each with a panel of approximately 1000
patients. Each team is composed of a physician or nurse
practitioner provider, a registered nurse (RN) care man-
ager, a licensed practical nurse, and a clerical staff mem-
ber. Other supporting clinical staff (eg, pharmacists,
social workers, mental health providers) are readily avail-
able in the clinic setting. The standard VHA comprehen-
sive electronic medical record is used for all clinical
documentation.
Results
Quality Improvement Implementation Progress:
Alignment With QI Standards?
Table 1 presents the key findings related to team QI work.
Overall, despite available resources, little progress con-
sistent with QI standards was reported. All eleven PCMH
teams in our primary care clinic are represented (100%
sample). Each team identified a focus for a team project.
The first 2 projects listed in Table 1 did not identify an
intervention as a starting point; thus 9 of the 11 projects
(82%) demonstrated a choice of project focus consistent
with QI work standards. In the 18-month follow-up
period, none of the teams developed a formal aim state-
ment for their project. Eight of the 11 teams (73%) devel-
oped any type of project plan beyond the initial team
discussion. Of the 4 teams that implemented a change
(last 4 rows of Table 1, representing 36% of the 11 proj-
ects), 2 of the initiatives are still in place, both sustained
by the same nurse care manager, though no assessment of
the impact of the change has taken place. None of the
teams completed assessment of change impact or reported
any further changes they had made as a result of project
assessment.
Implementation Challenges and Facilitators
Table 2 summarizes themes identified from interviews
related to challenges to and facilitators of QI work. Although
traditionally accepted facilitators (eg, QI training, leader-
ship buy-in) were in place, QI work remained limited sug-
gesting the barriers outweighed the facilitators. For
example, only 1 of the 11 teams (9%) met (only once) with
an improvement coach despite awareness and availability
of this resource.
Watts et al 103
Table 1. Summary of Patient-Centered Medical Home (PCMH) Team Projects and Assessment of Alignment with Quality
Improvement (QI) Standards.
Team Intended Project Focus
Information Provided by Team Member(s)
Regarding QI Project Progress
Alignment With QI Work
Standards?
1 Identify patients who do not receive
their primary care from VA to
evaluate impact on performance
measures
Added a structured question to provider
note
A team member reviews data monthly
No changes to practice have been made
Starting point was not an
intervention/improvement;
need to think about change
concepts
2 Identify components of best practices
for PCMH RN
Met with several RN Care Managers
Unable to identify specific area for focus
Did not continue working on project
Starting point was not an
intervention/improvement;
need to think about change
concepts
3 Improve the check-in process Felt too many variables were involved
Couldn’t identify a target for improvement
Stopped working on project
Too broad, need to narrow focus
by developing SMART aim
statement
4 Improve A1c control in team patients Nurse to contact patients with poor control
Time limitations made project sporadic
Stopped working on project and are
focusing on new national program to
implement “Personalized Health Plan,” hope
this will address quality concern
Need to narrow focus by
developing SMART aim
statement; not team based
5 Increase immunizations for diphtheria,
tetanus, and pertussis
Didn’t have time to work on project
due to competing demands
Realistic project focus, but lack
supporting data to indicate this
is a quality concern
6 Improve hypertension management Nurse to contact patients with poor
control
Not able to implement due to competing
clinical demands
Stopped working on project and are
focusing on new national program to
implement “Personalized Health Plan,” hope
that this will address quality concern
Need to narrow focus by
developing SMART aim
statement; not team based
7 Decrease the number of team patients
who are going to the emergency
department
Team was short-staffed for several months
(LPN left)
Stopped working on project
Too broad; not team based;
limited stakeholder involvement
8 Improve clinic discharge instruction
template
New template introduced
Accessed informatics/data resource person
Provider left practice, no other
providers use template
Not team based; limited
stakeholder involvement
9 Improve prostate-specific antigen
(PSA) screening for patients 50-75
years old
Nurse distributed education material on
PSA screening to patient prior to seeing
provider
Some data review completed for baseline but
required time-intensive manual chart review
Stopped working on project
Jumped to intervention; focused
on “how” rather than exploring
solutions
10 Increase number of patients with low-
density lipoprotein (LDL) at goal
Nurse used local registry to identify and
contact patients not at goal
Accessed informatics/data resource person
Ongoing monthly data reviews
Results have not been evaluated
Jumped to intervention; not
team based; person’s behavior
changed, not the system
11 Increase number of patients with
hemoglobin A1c less than 8%
Nurse used local registry to identify and
contact patients not at goal
Accessed informatics/data resource person
Ongoing monthly data reviews
Results have not been evaluated
Jumped to intervention; not
team based; person’s behavior
changed, not the system
104 Journal of Primary Care & Community Health 5(2)
Discussion
Summary
Despite leadership support, formal education sessions, ded-
icated nonclinical time, and availability of QI coaches, none
of the teams completed a single plan–do–study–act cycle.
Our findings underscore recent suggestions in the literature
that time and educational resources may not be sufficient
for frontline teams to engage in QI work.17,18 Based on the
feedback from the 11 teams and our observations of the pro-
cess, we developed a cause–effect diagram (Figure 1) to
organize the factors identified in Table 2 structuring the
“effect” as the desired outcome: Successful PCMH QI
Project. Our goal was to enable action plans to improve the
quality and quantity of QI projects in the PCMH teams.
Relation to Other Evidence
The upper half of the Figure 1, “Basic Foundation,” outlines
traditionally acknowledged factors (“causes”) of successful
QI work that are well established in the literature, for exam-
ple, get leadership support and buy-in, choose relevant proj-
ects5,18 and are consistent with the facilitators identified by
our teams. These factors and their subcomponents may pro-
vide a necessary foundation for QI work but were not suf-
ficient to propel progress in our clinical environment.
The lower half of Figure 1, “Moving Beyond Basics,”
summarizes the novel factors and their subcomponents we
identified through this evaluation initiative: Structuring
Resources, PCMH Team Development (or “PCMH
Maturity”) and System Alignment. The “Moving Beyond
Basics” factors align conceptually with the established fac-
tors; however, potentially unique nuances are identified in
the subcomponents. Further investigation will be necessary
to determine the relative importance of these factors and
their subcomponents to QI work within the PCMH model
and to develop strategies to address them.
Interpretation and Next Steps
Specifically, development of strategies to address the
“Moving Beyond Basics” factors and subcomponents may
be important to achieving the transformative potential of
the PCMH model to facilitate successful QI work. Based on
our findings and examination of the existing literature,
below we provide some preliminary strategies that may be
helpful to translate the 3 identified factors into actionable
next steps:
1. Structuring resources—ensuring that teams do not
have competing demands or that time allotment is
done in a way to make it conducive for teams to work
together. Strategies for implementation may include
asking the team to identify a set meeting time each
week, facilitating scheduling so that all team mem-
bers can attend, providing space for the meeting, and
requesting routine documentation of the results of the
team meeting.
2. PCMH team development—recognizing the impor-
tance of establishing a PCMH teams’ ability to work
together, including meeting staffing requirements,
before engaging in QI initiatives. This component
acknowledges that expectation of QI activities may
be counterproductive when teams are struggling
with meeting the basic needs of their panel of
patients due to staffing deficiencies. Management
may be able to assist by providing teams with a
timeline of expectations (eg, “WHEN the LPN posi-
tion is filled, THEN we will plan on beginning our
QI meetings . . .”).
3. System alignment—aligning PCMH QI work trans-
parently with other performance metrics for a clinic
or facility. Although addressing this factor at a mini-
mum will require assistance from local quality man-
agement/regulatory groups, this would ideally be
Table 2. Summary of Facilitators and Challenges for Patient-Centered Medical Home Team Project Development and
Implementation.
Facilitators Identified in Team Interviews and
Resources Provided by Facility Challenges Identified in Team Member Interviews
System project champion Staff turnover/changes
Team members identified and working as a clinical
team with shared goals
Competing programs or priorities (eg, of the 3 teams who did not develop a
project plan, 2 teams (teams 5 and 6) identified competing clinical demands as a
reason that they were unable to proceed); incomplete team
Informatics/data resource person available,
knowledgeable, and helpful
No clear sense of focus (eg, team 3 stated that, despite initial enthusiasm, they
were unable to identify a focus for improvement), aim or measures
User-friendly information technology resources Not linked to performance assessment
Knowledge of quality improvement methodology/
tools
Unable to translate tools provided into doable projects
Allocated time No overlapping time for meeting as a team; competing demands create differential
use of allocated project time; separate activity from “job tasks”
Leadership support No clear sense of added value
Watts et al 105
guided by policy changes at the broader level. For
example, development of metrics to evaluate for the
presence of QI work in general may be one strategy.
Limitations
This work represents a single-site case study. However, our
clinic setting is similar to other large academic primary care
practices. In addition, we have 2 years’ experience with
integrating the PCMH care model into practice, which pro-
vides suggestions for other efforts to enable QI work to
become part of routine daily clinic practice, an important
consideration as this practice transformation continues to
spread throughout primary care.
Conclusions
Successful QI work in the PCMH model may require more
than formal education, dedicated time, and leadership sup-
port. We offer areas of further investigation and suggestions
that may ultimately facilitate the goal of sustainable inte-
gration of QI into daily practices of primary care teams.
Authors’ Note
The views expressed in this article are those of the authors and do
not necessarily represent the views of the Department of Veterans
Affairs.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with
respect to the research, authorship, and/or publication of this
article.
Funding
The author(s) disclosed receipt of the following financial support
for the research, authorship, and/or publication of this article: This
work was supported in part by the Veterans Health Administration
Office of Academic Affiliations grant titled, “Center of Excellence
in Primary Care Education.”
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Figure 1. Cause–effect diagram of barriers and facilitators of patient-centered medical home (PCMH) quality improvement (QI) work.
106 Journal of Primary Care & Community Health 5(2)
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Author Biographies
Brook Watts, MD, MS, is Chief Quality Officer at the Cleveland
VAMC and Associate Professor at Case Western Reserve
University School of Medicine.
Renée H. Lawrence, PhD, is a senior research and implementa-
tion scientist at the Cleveland VAMC with quality improvement
expertise.
Simran Singh, MD, is Associate Chief of Staff for Education
Safety at the Cleveland VAMC and Assistant Professor at Case
Western Reserve University School of Medicine.
Carol Wagner, RN, BSN, is a Nurse Care Manager in the Primary
Care Clinic at the Cleveland VAMC.
Sarah Augustine, MD, is Associate Chief of Medicine at the
Cleveland VAMC and Associate Professor at Case Western
Reserve University School of Medicine.
Mamta K. Singh, MD, MS, FACP, is the Physician Director for
the Center of Excellence in Primary Care Education at the
Cleveland VAMC and Associate Professor at Case Western
Reserve University School of Medicine.
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... Having a designated data facilitator driving performance improvement is critical (Watts et al., 2014). Hysong et al. (2014) recommend thatwhen empowered to do soa designated nurse or other team member is often better positioned to monitor and manage team processes and outcomes compared to a physician-managed model. ...
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Team-based primary care (TBPC) has diffused rapidly in concert with other reform initiatives. However, little is known about the contextual factors that best position practices to leverage team-based strategies for improved healthcare delivery. Sixty-two empirical articles were analysed in a scoping review to explore key factors in the domains of environment, task and technology that influence the success of establishing and maintaining TBPC practices. Key findings address the importance of internal performance management structures and external payment mechanisms that reinforce TBPC. Incremental task delegation, combined with consistent communication and integrated documentation practices, is critical for shared role understanding and sustained TBPC commitment. Finally, electronic health records can provide a collaboration and communication platform to enhance team functioning. This review provides insights to providers and policymakers regarding enabling contextual factors for successful TBPC implementation, and identifies promising areas for future research – specifically technology use and performance measurement as they relate to teams.
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Scheduling models for continuity clinics have expanded over the past few decades, ranging from the traditional one half-day per week model to versions of more intense clinic immersion experiences or X + Y block models. These seek to balance consistency and access for patients with the increasingly important goals of decreasing simultaneous inpatient and outpatient duties, as well as supporting team and patient continuity and resident wellness. While no one cookie-cutter approach is likely to solve all the challenges a program faces, this chapter reviews different models and the available evidence (or lack thereof) of impacts on important patient and resident outcomes.
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Quality improvement (QI) teams typically consist of membership from many roles and professions working together to improve care. However, despite the growing number of interprofessional (IP) teams involved in QI education and projects, carrying out successful improvement remains challenging. IP competency frameworks have been used as an enabler in practice, education and research to expand understanding of collaboration beyond team dynamics. Building on literature and practices in QI and interprofessional care (IPC), this paper identifies specific team tools and practices relevant to IP competencies. By connecting IP competencies to these practical QI tools, we examine the synergistic relationship between QI tools and IP competencies. There is an opportunity to explicitly integrate IP competencies with QI tools, education and programs to enhance IPC. Future research should include application of IP competencies across different QI team structures and sectors and the impact of integration of IP competencies in QI tools and programs.
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Purpose/aims: Clinical nurse specialists and other advanced practice registered nurses use healthcare team coaching to foster interprofessional practice and enhance healthcare quality. Although coaching has been shown to support positive changes in healthcare, little is known about how coaching strategies are used in practice. The purpose of this study was to describe the strategies used by an experienced healthcare team coach tasked with advancing interprofessional care and teamwork in primary care clinics. Methods: This qualitative description study was part of a larger project that included an objective to increase interprofessional practice in 3 primary care clinics in the midwestern United States. Data drawn from 35 audio-recorded and transcribed coaching telephone calls were analyzed using content analysis. Results: Twelve coaching strategies were identified and divided into the following groups: (a) enhancing team development, (b) affirming the work of the team, (c) facilitating progress, (d) providing resources, and (e) connecting work to theoretical frameworks. Conclusions: The coaching strategies described in this study can inform the work of clinical nurse specialists and other advanced practice registered nurses charged with advancing interprofessional collaborative practice. Future research is recommended to examine the efficacy of strategies and develop a comprehensive model of healthcare team coaching.
Article
Purpose: This scoping review examines what is known about the processes of quality improvement (QI) teams, particularly related to how teams impact outcomes. The aim is to provide research-informed guidance for QI leaders and to inform future research questions. Data sources: Databases searched included: MedLINE, EMBASE, CINAHL, Web of Science and SCOPUS. Study selection: Eligible publications were written in English, published between 1999 and 2016. Articles were included in the review if they examined processes of the QI team, were related to healthcare QI and were primary research studies. Studies were excluded if they had insufficient detail regarding QI team processes. Data extraction: Descriptive detail extracted included: authors, geographical region and health sector. The Integrated (Health Care) Team Effectiveness Model was used to synthesize findings of studies along domains of team effectiveness: task design, team process, psychosocial traits and organizational context. Results of data synthesis: Over two stages of searching, 4813 citations were reviewed. Of those, 48 full-text articles are included in the synthesis. This review demonstrates that QI teams are not immune from dysfunction. Further, a dysfunctional QI team is not likely to influence practice. However, a functional QI team alone is unlikely to create change. A positive QI team dynamic may be a necessary but insufficient condition for implementing QI strategies. Conclusions: Areas for further research include: interactions between QI teams and clinical microsystems, understanding the role of interprofessional representation on QI teams and exploring interactions between QI team task, composition and process.
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Formal evaluations of programmes are an important source of learning about the challenges faced in improving quality in healthcare and how they can be addressed. The authors aimed to integrate lessons from evaluations of the Health Foundation's improvement programmes with relevant literature. The authors analysed evaluation reports relating to five Health Foundation improvement programmes using a form of 'best fit' synthesis, where a pre-existing framework was used for initial coding and then updated in response to the emerging analysis. A rapid narrative review of relevant literature was also undertaken. The authors identified ten key challenges: convincing people that there is a problem that is relevant to them; convincing them that the solution chosen is the right one; getting data collection and monitoring systems right; excess ambitions and 'projectness'; organisational cultures, capacities and contexts; tribalism and lack of staff engagement; leadership; incentivising participation and 'hard edges'; securing sustainability; and risk of unintended consequences. The authors identified a range of tactics that may be used to respond to these challenges. Securing improvement may be hard and slow and faces many challenges. Formal evaluations assist in recognising the nature of these challenges and help in addressing them.
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This study was a systematic review with a quantitative synthesis of the literature examining the overall effect size of practice facilitation and possible moderating factors. The primary outcome was the change in evidence-based practice behavior calculated as a standardized mean difference. In this systematic review, we searched 4 electronic databases and the reference lists of published literature reviews to find practice facilitation studies that identified evidence-based guideline implementation within primary care practices as the outcome. We included randomized and nonrandomized controlled trials and prospective cohort studies published from 1966 to December 2010 in English language only peer-reviewed journals. Reviews of each study were conducted and assessed for quality; data were abstracted, and standardized mean difference estimates and 95% confidence intervals (CIs) were calculated using a random-effects model. Publication bias, influence, subgroup, and meta-regression analyses were also conducted. Twenty-three studies contributed to the analysis for a total of 1,398 participating practices: 697 practice facilitation intervention and 701 control group practices. The degree of variability between studies was consistent with what would be expected to occur by chance alone (I2 = 20%). An overall effect size of 0.56 (95% CI, 0.43-0.68) favored practice facilitation (z = 8.76; P <.001), and publication bias was evident. Primary care practices are 2.76 (95% CI, 2.18-3.43) times more likely to adopt evidence-based guidelines through practice facilitation. Meta-regression analysis indicated that tailoring (P = .05), the intensity of the intervention (P = .03), and the number of intervention practices per facilitator (P = .004) modified evidence-based guideline adoption. Practice facilitation has a moderately robust effect on evidence-based guideline adoption within primary care. Implementation fidelity factors, such as tailoring, the number of practices per facilitator, and the intensity of the intervention, have important resource implications.
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As the science of quality improvement in health care advances, the importance of sharing its accomplishments through the published literature increases. Current reporting of improvement work in health care varies widely in both content and quality. It is against this backdrop that a group of stakeholders from a variety of disciplines has created the Standards for QUality Improvement Reporting Excellence, which we refer to as the SQUIRE publication guidelines or SQUIRE statement. The SQUIRE statement consists of a checklist of 19 items that authors need to consider when writing articles that describe formal studies of quality improvement. Most of the items in the checklist are common to all scientific reporting, but virtually all of them have been modified to reflect the unique nature of medical improvement work. This “Explanation and Elaboration” document (E & E) is a companion to the SQUIRE statement. For each item in the SQUIRE guidelines the E & E document provides one or two examples from the published improvement literature, followed by an analysis of the ways in which the example expresses the intent of the guideline item. As with the E & E documents created to accompany other biomedical publication guidelines, the purpose of the SQUIRE E & E document is to assist authors along the path from completion of a quality improvement project to its publication. The SQUIRE statement itself, this E & E document, and additional information about reporting improvement work can be found at http://www.squire-statement.org.
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We describe the experience of practices in transitioning toward patient-centered medical homes (PCMHs) in the National Demonstration Project (NDP). The NDP was launched in June 2006 as the first national test of a model of the PCMH in a diverse sample of 36 family practices, randomized to facilitated and self-directed intervention groups. An independent evaluation team used a multimethod evaluation strategy, analyzing data from direct observation, depth interviews, e-mail streams, medical records, and patient and practice surveys. The evaluation team reviewed data from all practices as they became available and produced interim summaries. Four 2- to 3-day evaluation team retreats were held during which case summaries of all practices were discussed and patterns were described. The 6 themes that emerged from the data reflect major shifts in individual and practice roles and identities, as well as changes in practices' management strategies. The themes are (1) practice adaptive reserve is critical to managing change, (2) developmental pathways to success vary considerably by practice, (3) motivation of key practice members is critical, (4) the larger system can help or hinder, (5) practice transformation is more than a series of changes and requires shifts in roles and mental models, and (6) practice change is enabled by the multiple roles that facilitators play. Transformation to a PCMH requires more than a sequence of discrete changes. The practice transformation process may be fostered by promoting adaptive reserve and local control of the developmental pathway.
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We provide an overall description of the National Demonstration Project (NDP) intervention to transform family practices into patient-centered medical homes. An independent evaluation team used multiple data sources and methods to describe the design and implementation of the NDP. These included direct observation of the implementation team and project meetings, site visits to practices, depth interviews with practice members and implementation team members, access to practice communications (eg, telephone calls, e-mails), and public domain materials (eg, the NDP Web site). The American Academy of Family Physicians created a new division called TransforMED, which launched the 24-month NDP in June 2006. From 337 family medicine practices completing an extensive online application, 36 were selected and randomized to a facilitated group, which received tailored, intensive assistance and services from TransforMED, or a self-directed group, which received very limited assistance. Three facilitators from diverse backgrounds in finance, practice management, and organizational psychology used multiple practice change strategies including site visits, e-mails, metrics, and learning sessions. The self-directed practices worked primarily on their own, but self-organized a retreat midway through the project. The intervention model for the project evolved to be consistent with the emerging national consensus principles of the patient-centered medical home. The independent evaluation team studied the NDP and provided ongoing feedback to inform the implementation process. The NDP illustrates that complex practice change interventions must combine flexibility in the intervention model, implementation strategy, and the evaluation, in order to maximize ongoing learning.
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Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many implementation theories have been published to help promote effective implementation. However, they overlap considerably in the constructs included in individual theories, and a comparison of theories reveals that each is missing important constructs included in other theories. In addition, terminology and definitions are not consistent across theories. We describe the Consolidated Framework For Implementation Research (CFIR) that offers an overarching typology to promote implementation theory development and verification about what works where and why across multiple contexts. We used a snowball sampling approach to identify published theories that were evaluated to identify constructs based on strength of conceptual or empirical support for influence on implementation, consistency in definitions, alignment with our own findings, and potential for measurement. We combined constructs across published theories that had different labels but were redundant or overlapping in definition, and we parsed apart constructs that conflated underlying concepts. The CFIR is composed of five major domains: intervention characteristics, outer setting, inner setting, characteristics of the individuals involved, and the process of implementation. Eight constructs were identified related to the intervention (e.g., evidence strength and quality), four constructs were identified related to outer setting (e.g., patient needs and resources), 12 constructs were identified related to inner setting (e.g., culture, leadership engagement), five constructs were identified related to individual characteristics, and eight constructs were identified related to process (e.g., plan, evaluate, and reflect). We present explicit definitions for each construct. The CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories. It can be used to guide formative evaluations and build the implementation knowledge base across multiple studies and settings.
Article
ABSTRACT Efforts to redesign primary care require multiple supports. Two potential members of the primary care team-practice facilitator and care manager-can play important but distinct roles in redesigning and improving care delivery. Facilitators, also known as quality improvement coaches, assist practices with coordinating their quality improvement activities and help build capacity for those activities-reflecting a systems-level approach to improving quality, safety, and implementation of evidence-based practices. Care managers provide direct patient care by coordinating care and helping patients navigate the system, improving access for patients, and communicating across the care team. These complementary roles aim to help primary care practices deliver coordinated, accessible, comprehensive, and patient-centered care.
Article
Serious shortcomings remain in clinical care in the United States despite widespread use of improvement strategies for enhancing clinical performance based on knowledge transfer approaches. Recent calls to transform primary care practice to a patient-centered medical home present even greater challenges and require more effective approaches. Our research team conducted a series of National Institutes of Health funded descriptive and intervention projects to understand organizational change in primary care practice settings, emphasizing a complexity science perspective. The result was a developmental research effort that enabled the identification of critical lessons relevant to enabling practice change. A summary of findings from a 15-year program of research highlights the limitations of viewing primary care practices in the mechanistic terms that underlie current or traditional approaches to quality improvement. A theoretical perspective that views primary care practices as dynamic complex adaptive systems with "agents" who have the capacity to learn, and the freedom to act in unpredictable ways provides a better framework for grounding quality improvement strategies. This framework strongly emphasizes that quality improvement interventions should not only use a complexity systems perspective, but also there is a need for continual reflection, careful tailoring of interventions, and ongoing attention to the quality of interactions among agents in the practice. It is unlikely that current strategies for quality improvement will be successful in transforming current primary care practice to a patient-centered medical home without a stronger guiding theoretical foundation. Our work suggests that a theoretical framework guided by complexity science can help in the development of quality improvement strategies that will more effectively facilitate practice change.
Article
Becoming a medical home is a radical change, requiring both a new mental model for primary care and the skills and resources to accomplish it. Although numerous reports indicate practice change is feasible--particularly with technical support and either insulation from or alignment with financial incentives--sustained transformation appears difficult. We identified the following critical success factors: leadership, financial resources, personal and organizational relationships, engagement with patients and families, competence in management, improvement methods and coaching, health information technology properly applied, care coordination support, and staff development. Each factor raises researchable questions about what policies can facilitate achieving success so that transformation becomes mainstream rather than the province of the innovative few.