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Use of Learning Collaboratives by the Center for Practice Innovations to Bring IPS to Scale in New York State

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Abstract

This column focuses on use of learning collaboratives by the Center for Practice Innovations to help programs implement the evidence-based individual placement and support model of supported employment in New York State. These learning collaboratives use fidelity and performance indicator data to drive the development of program-specific individualized quality improvement plans. As of 2014, 59 (69%) of 86 eligible programs have joined the initiative. Programs are achieving employment outcomes for consumers on par with national benchmarks, along with improved fidelity.
Use of Learning Collaboratives by the Center
for Practice Innovations to Bring IPS to Scale in
New York State
Paul J. Margolies, Ph.D., Karen Broadway-Wilson, Raymond Gregory, Thomas C. Jewell, Ph.D.,
Gary Scannevin, Jr., M.P.S., C.P.R.P., Robert W. Myers, Ph.D., Henry A. Fernandez, J.D., Douglas Ruderman, L.C.S.W.,
Liam McNabb, I-Chin Chiang, M.S., Leslie Marino, M.D., Lisa B. Dixon, M.D., M.P.H.
This column focuses on use of learning collaboratives by the
Center for Practice Innovations to help programs implement
the evidence-based individual placement and support model
of supported employment in New York State. These learning
collaboratives use delity and performance indicator data
to drive the development of program-specic individualized
quality improvement plans. As of 2014, 59 (69%) of 86 eligible
programs have joined the initiative. Programs are achieving
employment outcomes for consumers on par with national
benchmarks, along with improved delity.
Psychiatric Services 2015; 66:46; doi: 10.1176/appi.ps.201400383
The Center for Practice Innovations (CPI) is funded by the
New York State Ofce of Mental Health (OMH) to bring best
practices to mental health programs across the state (1). Large
systems face the challenge of helping practitioners in diverse
programs adopt evidence-based practices. This challenge in-
cludes reaching all programs, regardless of whether they would
be naturally inclined to participate. Because of the large number
of programs and the large geographic area, New York State
(NYS) cannot afford traditional approaches to dissemination,
such as use of consultant trainers for individual agency training.
To encourage community programs to adopt best practices,
OMH developed a program model in 2004 that set a clear ex-
pectation in regard to the implementation of recovery-oriented
evidence-based practices. Through funding policies, OMH
provided incentives for adoption of these practices. These
Personalized Recovery Oriented Services (PROS) programs
are designed for adults living in the community who have
a diagnosis of serious mental illness. The programs help them
identify and achieve personally meaningful recovery goals.
The number of PROS programs has increased signicantly:
in early 2014, 86 programs were serving 10,600 individuals.
OMH leadership identied supported employment as a
key service in PROS programs. Rates of competitive employ-
ment of mental health consumers have historically been very
low. PROS programs across NYS routinely report competitive
employment rates of less than 10% among program partic-
ipants, similar to rates in other states (2,3).
IPS AND LCs
Individual placement and support (IPS) has been recognized
as the evidence-based approach to supported employment
for more than a decade (2,4). A study that focused on 127
sites involved in the Johnson & JohnsonDartmouth Com-
munity Mental Health Program found that the mean quarterly
employment rate for individuals receiving IPS services over
eight years was 41% (5,6). Employment was dened as work-
ing in a competitive job for one day or more in the quarter. IPS
principles include zero exclusion, integration of employment
and mental health services, competitive employment as the
goal, and rapid job search. Key services include developing
a meaningful employment plan that reects the consumers
wishes,aswellasjobdevelopmentandjobsupports(7).
Learning collaboratives (LCs) have been used in health
care and are increasingly used in behavioral health care. LCs
were initially patterned on the Institute for Healthcare Im-
provement Breakthrough Series (8), and variations have been
developed (9). Fundamental elements include a number of
organizations working together, using quality improvement
methods to close the gap between potential and actual per-
formance, learning from experts as well as from one another,
and using data to track performance (8). Reviews have re-
ported promising results in regard to the impact of LCs, but
they are cautious in reaching rm conclusions because of
difculties comparing studies and other methodological issues
(911).
The NYS initiative builds on the LC model designed by
the team that developed IPS with the goals of guiding and
supporting IPS dissemination in 12 states and the District of
Columbia (12). The Johnson & JohnsonDartmouth national
LC used a two-tiered approach. IPS researchers used LCs
to work with mental health and vocational rehabilitation
leaders at the state level, and these leaders in turn worked
with programs in their states. The LC approach has helped
4ps.psychiatryonline.org Psychiatric Services 66:1, January 2015
BEST PRACTICES
states sustain and expand IPS, improving quality and achieving
good outcomes. The NYS LC initiative works directly with
large numbers of programs.
CPIS DISSEMINATION OF IPS
In 2013, CPI worked with 47 of 77 PROS programs across
NYS that were clustered into four regional LCs. In 2014, the
number of participating programs increased to 59 of 86,
clustered into seven regional LCs. OMH strongly encouraged
participation, but no scal or other incentives were provided.
Supported employment is funded through a combination of
Medicaid and state dollars. CPI staff (3.2 full-time-equivalent
[FTE] trainers-consultants) helped these programs by leading
LC meetings, providing guidance concerning the develop-
ment of quality improvement plans, collecting and analyzing
data submitted by the programs, leading informational webinars
and conference calls, and providing onsite program-specic
training and consultation. The LCs provide both face-to-face
and online training and support activities. Programs agree to
attend LC meetings, conduct periodic delity self-assessments,
submit monthly performance indicator data, develop and use
IPS quality improvement plans, and share experiences with
one another.
LCs offer the following training and support activities:
two online training modules, one providing an overview of
IPS and the other focusing on the practitioner skill of job
development; statewide webinar and regional online meet-
ings focusing on important topics (for example, IPS delity
and supervision) and processes (for example, using data to
drive continuous quality improvement efforts) (in 2013, one
webinar and 24 online meetings were conducted, and from
January to May 2014, four webinars and eight online meetings
were conducted); an IPS library, available through CPIs
learning management system, that provides archived webinars,
presentations from past training events, and tools to help IPS
implementation; regional face-to-face meetings where pro-
grams learn from each other (eight meetings in 2013 and 15 from
January to May 2014); individualized consultations, both at
the program site and by telephone that focus on addressing
implementation challenges and enhancing practitioner compe-
tencies (83 site visits in 2013 and 45 from January to May 2014);
and special interest conference calls focusing on issues identi-
ed by participating programs (for example, implementation in
rural settings) (ve calls from January to May 2014).
It is important to note that between LC meetings, par-
ticipants engage in follow-up work, including completion of
online training; submission of performance indicator data,
including caseload size and in-person employer contacts and
employment outcomes; and development and use of quality
improvement plans based on program-specic data.
Data collected in 2013 produced several ndings. In 2013,
a total of 49 (64%) of 77 eligible programs joined the ini-
tiative, and two dropped out before the end of the year. Thus
over 60% of eligible programs chose to join and remain with
the initiative throughout the year, and 96% of programs that
enrolled remained actively involved throughout 2013. By early
2014, 59 (69%) of 86 eligible programs had joined. Improved
IPS delity has been noted. For the 47 programs that began
in 2013 and remained in the LC, 46 had submitted self-
reported delity data, using the Supported Employment Fi-
delity Scale (13) adapted for NYS PROS programs. Fidelity
increased signicantly from January to September 2013 (from
91.3616.7 to 96.1614.7 out of a possible score of 125; p,.05).
(The adapted scale is available online at adobeformscentral.
com/?f5zO40AePRbfe73yRJIGhRZg.)
In addition, the programs have achieved national IPS
benchmarks. In November 2013, CPI revised the LC perfor-
mance indicators, including denitions of key concepts, to be
more consistent with indicators collected in national stud-
ies (indicators are available at adobeformscentral.com/
?f5DlAWcIQ1sQVHnkdHaENlfw). For 41 of the 47 programs
that used the revised indicators to provide data for November
2013, we found that IPS caseload per FTE staff (calculated by
dividing the total caseload across the 41 programs by total FTE
staff at those programs) achieved expected national standards:
19.6 consumers receiving IPS services per one FTE. The state-
wide average rate of employment of consumers on the IPS
caseload (calculated at the program level and then averaged
across the state) is within the range reported nationally for ef-
fective IPS programs: 48% over the past month and 44% over
the past three months worked at least one day of competitive
employment. There were 1,045 individuals statewide on the
past-month caseload and 1,596 different individuals on the
caseload over the past three months. These data do not repre-
sent a xed cohort because the IPS caseload uctuates monthly.
Data collected in 2013 indicated one serious limitation
and some continuing challenges. Programs reported a mean
of 1.3 FTE employment staff per PROS program (median51.0,
mode51.0). The overall program census per program ranged
from 41 to 373. The limited availability of employment staff
suggests that a very small number of program participants
can receive IPS services. This has a dramatic impact on the
absolute numbers of program participants who will nd
competitive employment. Across all PROS programs, the
percentage of individuals enrolled on the last day of the year
who were competitively employed increased from 8.6% in
2012 to 9.5% in 2013. Although the trend is in a positive di-
rection, the low number of employment staff severely limits
the achievement of better employment outcomes. In addition,
difculties with specic aspects of delity have been noted.
The September 2013 delity self-assessment identied, on
average across programs, difculties with staff assignments,
including the number of staff assigned to employment duties;
the percentage of time spent in the community providing IPS
services, including job development; and expectations in re-
gard to staff completion of tasks not related to employment.
PROMOTING SUSTAINABILITY AND HIGH FIDELITY
CPI and OMH are examining ways in which OMH can
strengthen or clarify policies, expectations, monitoring systems,
Psychiatric Services 66:1, January 2015 ps.psychiatryonline.org 5
BEST PRACTICES
and incentives for achieving better employment outcomes and
increasing program involvement in CPIs IPS initiative. OMH
has looked for opportunities to communicate a clear expectation
that supported employment services are a crucial component of
PROS programs. This communication occurs in meetings and
conference calls with program leaders. In addition, OMH issued
a guidance document that details the manner in which IPS
services can and should be incorporated into PROS program
design. OMH monitors program involvement in the IPS ini-
tiative through detailed monthly reports provided by CPI.
OMH monitoring of implementation and employment outcomes
occurs in several ways: through delity and performance in-
dicator data provided by programs to CPI, through data pro-
vided by programs directly to OMH, and through program
licensing visits, which now focus more fully on IPS activities
and employment outcomes.
OMH is also committed to aligning incentives with de-
sired outcomes. It provides PROS programs with state funds
to assist with IPS implementation. OMH is examining ways
in which these funds can be made contingent on involve-
ment with CPIs IPS initiative, IPS delity, and employment
outcomes. In addition, through the national Ticket to Work
program, programs can now receive funds from the federal
government that are contingent on employment outcomes.
OMH has designed an administrative system that will fa-
cilitate programsaccess to this important incentive.
CREATIVE PLANNING FOR THE FUTURE
CPI and OMH are working with program leaders to nd
creative ways to increase staff involvement in employment
activities. Because low current overall employment stafng
levels are likely to continue, employment must become a sig-
nicant focus of other (nonemployment) staff members. CPI
plans to build on the IPS foundation now in place and to look
at creative adaptations and facilitators that incorporate IPS
principles into employment practices designed specically for
the PROS environment. One such facilitator is the Employ-
ment Resource Book (14), which was developed by CPI and
funded in part by the Employment Development Initiative of
the Substance Abuse and Mental Health Services Adminis-
tration and by the National Association of State Mental Health
Program Directors. Informed by IPS principles, the book is
designed for use by consumers on their own as well as with
employment staff members, other practitioners, and peer spe-
cialists. The books 32 topic areas and ten appendices cover
three critical time periods: before the job search, during the
job search, and after getting a job. Information, personalized
activities, and next steps in each topic area are described. We
hope that this resource will inspire and empower consumers
to pursue employment and that it will increase staff involve-
ment with employment activities.
CONCLUSIONS
Reports by participating programs suggest that a state mental
health authority (OMH) working closely with a training center
(CPI) can indeed move the bartoward dissemination of IPS
across a large state, resulting in improved delity and out-
comes that are consistent with national benchmarks. The self-
reported nature of these data, however, limits our ability to
reach rm conclusions. Structural and scal barriers have
resulted in difculties with implementation for some pro-
grams (such as the small number of staff assigned to employ-
ment duties and the nature of their assignments). We have
learned that planning efforts must go well beyond training to
include a focus on these barriers.
AUTHOR AND ARTICLE INFORMATION
Dr. Margolies, Mr. Scannevin, and Dr. Dixon are with New York State
Psychiatric Institute and the Department of Psychiatry, Columbia Univer-
sity, New York City (e-mail: margoli@nyspi.columbia.edu). Ms. Broadway-
Wilson, Dr. Jewell, Ms. Chiang, and Dr. Marino are with New York State
Psychiatric Institute. Mr. Gregory is with the Department of Psychiatry,
Columbia University. Dr. Myers, Mr. Fernandez, Mr. Ruderman, and
Mr. McNabb are with the New York State Ofce of Mental Health, Albany.
Marcela Horvitz-Lennon, M.D., is editor of this column.
CPI is funded by the NYS OMH. The authors are grateful for the guid-
ance and support provided by Susan Essock, Ph.D.
The authors report no nancial relationships with commercial interests.
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6ps.psychiatryonline.org Psychiatric Services 66:1, January 2015
BEST PRACTICES
... The New York State Office of Mental Health (NYS-OMH), the New York State Psychiatric Institute and the Department of Psychiatry at Columbia University established CPI in 2007 to promote the widespread use of EBPs developed for adults with serious mental illness throughout New York State (NYS). The Center for Practice Innovations provides training and technical assistance (TA) across eight core recovery-oriented EBPs including: treating co-occurring mental health and substance use disorders, Assertive Community Treatment, 2021, supported employment, Individual Placement and Support [IPS], coordinated specialty care for first-episode psychosis, suicide prevention, cognitive health, and evidence-based care for obsessive-compulsive disorder (Covell et al., 2021;Covell et al., 2014;Dixon & Patel, 2020;Margolies et al., 2021b;Margolies et al., 2015;Margolies et al., 2021a;New York State, 2020;Thorning & Dixon, 2020). The Center for Practice Innovations also supports training in clinical core competencies and state training initiatives to support Medicaid redesign. ...
... Over the past decade, IPS has provided learning collaborative-related webinars and remote meetings for the Individual Placement and Support model of supported employment to programs across NYS including community psychiatric rehabilitation programs and state facility clinics (Margolies et al., 2015). During the period from March 2020-December 2021, a total of 29 collaborative-related webinars and remote meetings were provided, similar to previous years (*redacted 2019). ...
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Intermediary and purveyor organizations (IPOs) play a key role in disseminating and implementing behavioral health evidence-based practices. The COVID-19 pandemic created a time of crisis and disruption to behavioral health care delivery. Using the conceptual framework of basic, targeted, and intensive technical assistance (TA) from the Training and Technology Transfer Centers, case studies are used to describe how programs at *redacted,* a state funded-intermediary organization, adapted its training and technical assistance to be delivered entirely remotely, to include content related to COVID-19 and to provide guidance on telehealth-based behavioral health care.
... In addition, learners received the e-learning modules favorably, rating them highly overall and noting that they met stated learning objectives and presented new information. Throughout the development process, data from the e-learning modules were described using the CFIR to identify needs that led to additional e-learning modules as well as strategies for subsequent implementation supports through a learning collaborative statewide (27). ...
... Notably, only half of the providers who completed the evaluation noted an intention to change their practice, and we did not have the capacity to assess practice change at the individual provider level at this stage of IPS implementation (level 3). However, in our subsequent work (27), program fidelity assessments using established measures demonstrated improvement over time, suggesting that level 3 provider practice change and fidelity self-assessed by program sites are shown to be associated with higher employment rates (level 4), which are sustained over time (28). Future research may focus on more rigorous evaluation of knowledge, practice change, mixed-method assessment of how the content from e-learning modules influences practice, and the essential role of care recipients in helping to design training within implementation efforts. ...
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Background Implementation science lacks a systematic approach to the development of learning strategies for online training in evidence-based practices (EBPs) that takes the context of real-world practice into account. The field of instructional design offers ecologically valid and systematic processes to develop learning strategies for workforce development and performance support.Objective This report describes the application of an instructional design framework—Analyze, Design, Develop, Implement, and Evaluate (ADDIE) model—in the development and evaluation of e-learning modules as one strategy among a multifaceted approach to the implementation of individual placement and support (IPS), a model of supported employment for community behavioral health treatment programs, in New York State.Methods We applied quantitative and qualitative methods to develop and evaluate three IPS e-learning modules. Throughout the ADDIE process, we conducted formative and summative evaluations and identified determinants of implementation using the Consolidated Framework for Implementation Research (CFIR). Formative evaluations consisted of qualitative feedback received from recipients and providers during early pilot work. The summative evaluation consisted of levels 1 and 2 (reaction to the training, self-reported knowledge, and practice change) quantitative and qualitative data and was guided by the Kirkpatrick model for training evaluation.ResultsFormative evaluation with key stakeholders identified a range of learning needs that informed the development of a pilot training program in IPS. Feedback on this pilot training program informed the design document of three e-learning modules on IPS: Introduction to IPS, IPS Job development, and Using the IPS Employment Resource Book. Each module was developed iteratively and provided an assessment of learning needs that informed successive modules. All modules were disseminated and evaluated through a learning management system. Summative evaluation revealed that learners rated the modules positively, and self-report of knowledge acquisition was high (mean range: 4.4–4.6 out of 5). About half of learners indicated that they would change their practice after watching the modules (range: 48–51%). All learners who completed the level 1 evaluation demonstrated 80% or better mastery of knowledge on the level 2 evaluation embedded in each module. The CFIR was used to identify implementation barriers and facilitators among the evaluation data which facilitated planning for subsequent implementation support activities in the IPS initiative.Conclusion Instructional design approaches such as ADDIE may offer implementation scientists and practitioners a flexible and systematic approach for the development of e-learning modules as a single component or one strategy in a multifaceted approach for training in EBPs.
... 4 While first developed in general health care, learning collaboratives, also called quality improvement collaboratives, have been used frequently in behavioral health by providers of training, technical assistance, and services as a strategy to promote quality improvement and implementation of a range of evidence-based practices (e.g., cognitive behavioral therapy for psychosis, integrated services for co-occurring mental health and substance use disorders, school mental health, supported employment, trauma informed care). [5][6][7][8][9][10][11][12] These collaboratives generally involve bringing together teams from different organizations and using experts to educate and coach them in a quality or implementation project and measure the effects. 13 Sharing of strategies, data, successes, and obstacles among participating teams is central to the approach. ...
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... New York State has one of the largest behavioral healthcare workforces with about 100,000 providers working in over 6000 programs across the state. For the past decade, CPI has incorporated practical approaches in implementation science to increase the knowledge and change the practice of behavioral health providers in NYS, focusing on EBPs for adults diagnosed with serious mental illness (Nossel et al. 2018;Covell et al. 2011Covell et al. , 2014Covell et al. , 2015Covell et al. , 2016Margolies et al. 2015;Dixon and Patel 2020). These practices include supported employment, integrated treatment for people with co-occurring mental health and substance use conditions, assertive community treatment, suicide prevention, early intervention for first episode psychosis, and wellness self-management. ...
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... However, the findings of our study do not provide justification for making adaptations to the IPS model. Learning collaboratives foster a culture of collaboration between IPS programmes through the collection of data concerning programme implementation and outcomes, sharing of knowledge, provision of training and technical support as well as research and innovation (Becker et al., 2014;Margolies et al., 2015). ...
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Introduction: we aimed to identify the barriers and facilitators to the implementation of a high fidelity IPS service in a community forensic mental health setting. Method: in-depth interviews were conducted with clinical staff (n=11), patients (n=3), and employers (n=5) to examine barriers and facilitators to implementation of a high fidelity IPS service. Data was analysed using thematic analysis, and themes were mapped onto IPS fidelity criteria. Results: barriers cited included competing interests between employment support and psychological therapies, perceived patients’ readiness for work, and concerns about the impact of returning to work on welfare benefits. Facilitators of implementation included clear communication of the benefits of IPS, interdisciplinary collaboration, and positive attitudes toward the support offered by the IPS programme among stakeholders. Offences, rather than mental health history was seen as a key issue from employers’ perspective. Employers regarded disclosure of offending or mental health history as important to develop trust and to gauge their own capacity to offer support. Conclusion: implementation of IPS in a community mental health forensic setting is complex and requires robust planning. Future studies should address the barriers identified and adaptations to the IPS model are needed to address difficulties encountered in forensic settings.
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Social Security Administration disability programs are expensive, growing, and headed toward bankruptcy. People with psychiatric disabilities now constitute the largest and most rapidly expanding subgroup of program beneficiaries. Evidence-based supported employment is a well-defined, rigorously tested service model that helps people with psychiatric disabilities obtain and succeed in competitive employment. Providing evidence-based supported employment and mental health services to this population could reduce the growing rates of disability and enable those already disabled to contribute positively to the workforce and to their own welfare, at little or no cost (and, depending on assumptions, a possible savings) to the government.
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Supported employment for people with severe mental illness is an evidence-based practice, based on converging findings from eight randomized controlled trials and three quasi-experimental studies. The critical ingredients of supported employment have been well described, and a fidelity scale differentiates supported employment programs from other types of vocational services. The effectiveness of supported employment appears to be generalizable across a broad range of client characteristics and community settings. More research is needed on long-term outcomes and on cost-effectiveness. Access to supported employment programs remains a problem, despite their increasing use throughout the United States. The authors discuss barriers to implementation and strategies for overcoming them based on successful experiences in several states.
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Quality improvement collaboratives are increasingly being used in many countries to achieve rapid improvements in health care. However, there is little independent evidence that they are more cost effective than other methods, and little knowledge about how they could be made more effective. A number of systematic evaluations are being performed by researchers in North America, the UK, and Sweden. This paper presents the shared ideas from two meetings of these researchers. The evidence to date is that some collaboratives have stimulated improvements in patient care and organisational performance, but there are significant differences between collaboratives and teams. The researchers agreed on the possible reasons why some were less successful than others, and identified 10 challenges which organisers and teams need to address to achieve improvement. In the absence of more conclusive evidence, these guidelines are likely to be useful for collaborative organisers, teams and their managers and may also contribute to further research into collaboratives and the spread of innovations in health care.
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To evaluate the effectiveness of quality improvement collaboratives in improving the quality of care. Relevant studies through Medline, Embase, PsycINFO, CINAHL, and Cochrane databases. Two reviewers independently extracted data on topics, participants, setting, study design, and outcomes. Of 1104 articles identified, 72 were included in the study. Twelve reports representing nine studies (including two randomised controlled trials) used a controlled design to measure the effects of the quality improvement collaborative intervention on care processes or outcomes of care. Systematic review of these nine studies showed moderate positive results. Seven studies (including one randomised controlled trial) reported an effect on some of the selected outcome measures. Two studies (including one randomised controlled trial) did not show any significant effect. The evidence underlying quality improvement collaboratives is positive but limited and the effects cannot be predicted with great certainty. Considering that quality improvement collaboratives seem to play a key part in current strategies focused on accelerating improvement, but may have only modest effects on outcomes at best, further knowledge of the basic components effectiveness, cost effectiveness, and success factors is crucial to determine the value of quality improvement collaboratives.
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Employment is the highest priority for many people with severe mental illness and it is a central aspect of recovery. Over the past two decades, the Individual Placement and Support (IPS) model of supported employment has emerged as the prominent evidence-based approach to vocational rehabilitation. This book synthesizes the research and experience on IPS supported employment: historical context, core principles, effectiveness, long-term outcomes, non-vocational outcomes, cost-effectiveness, generalizability, fidelity, implementation, policy, and future research. This book relates to areas of work with populations with psychiatric disabilities and in community mental health and social service settings. In tracing the evolution of IPS, readers are equipped with an elegant example of the transition from needs assessment, to model development, to testing, and to dissemination.
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Objective: Learning collaboratives aim to improve the quality and outcomes of health care. This paper updates the Johnson & Johnson-Dartmouth Community Mental Health Program, a 12-year learning collaborative on supported employment for people with mental illness. Methods: We gathered data from quarterly employment reports, monthly Individual Placement and Support (IPS) meetings, and presentations at the 2013 annual meeting of the learning collaborative. Results: The number of participant states or regions (and sites within these jurisdictions) was expanded to 16 jurisdictions in the United States and 3 in European countries. The quarterly rate of competitive employment has averaged 43% over 11 years in the U.S. sites. The collaborative has spawned numerous interactions, trainings, innovations, and research projects. Conclusions and implications for practice: Long-term learning collaboratives can produce high quality services, good outcomes, sustainability, and innovation.
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Mental health program leaders need vocational benchmarks for client outcomes. Outcomes from randomized controlled trials may not generalize to routine practice settings. This paper describes quarterly employment outcomes from a national learning collaborative on supported employment for people with serious mental illnesses. Benchmarks were established using the 25th, 50th, and 75th percentiles. Based on these percentiles, we recommend that state and local mental health and vocational rehabilitation administrators use a minimal benchmark of 33%, a good performance benchmark of 45%, and a high-performance benchmark of 57% for expected rates of competitive employment among active clients who receive evidence-based vocational services.
Supported Employment Fidelity Scale
  • D R Becker
  • S J Swanson
  • G R Bond
Becker DR, Swanson SJ, Bond GR, et al: Supported Employment Fidelity Scale. Lebanon, NH, Dartmouth Psychiatric Research Center, 2008. Available at dms.dartmouth.edu/prc/employment/