Skip to main content

Abstract

Objective:

A growing body of literature demonstrates that high-fidelity implementation of the individual placement and support (IPS) model of supported employment increases the chances of achieving desired outcomes. This study examined the relationship between IPS fidelity, as self-reported by program sites, and employment outcomes and determined whether this relationship was maintained over time.

Methods:

A total of 78 outpatient programs in New York State provided data on self-reported IPS fidelity and employment outcomes. Pearson correlations were used to determine the relationship between fidelity scores and competitive employment rates. A mixed-effects model examined the relationship between repeated fidelity and employment measures over time.

Results:

A significant positive relationship was found between better self-reported IPS fidelity and greater employment. The relationship between IPS fidelity and employment was sustained over time (up to one year).

Conclusions:

Higher-fidelity implementation of the IPS model, as self-assessed by program sites, was associated with higher employment rates, which were sustained over time.
Focusing on the implementation of evidence-based practices calls attention to the importance of the quality, or fidelity, of the implementation. Fidelity scales have been developed to guide implementation efforts in order to ensure that practices are administered as designed. Implicit in this process is the assumption that high fidelity to the program model will yield intended outcomes. But is this assumption accurate?
Across many fields and practices, studies have shown a relationship between fidelity and outcome. For example, positive relationships have been found between outcomes and fidelity with assertive community treatment in programs to treat co-occurring disorders (1), 12-step facilitation programs (2), the Housing First model (3), antibullying programs in elementary schools (4), family support programs for improving educational outcomes for at-risk youths (5), and middle school obesity programs (6).
The individual placement and support (IPS) model of supported employment (7,8) is an evidence-based practice with a clearly designed fidelity scale to guide implementation (9). In two recent studies, Bond and colleagues found that the total fidelity score was significantly associated with the quarterly competitive employment rate. The first study examined 79 sites in eight states that participated in a learning community administered by the IPS development group and reported a correlation between program fidelity and employment rates (r=.34, p<.01) (10). The second study (11), which aimed to replicate the analyses in the first study (10), also found a correlation (r=.27, p=.02) when examining a different set of 79 sites in 12 states in the IPS learning community. Additionally, in a recent study of 21 supported education and employment programs that were developed to align with IPS principles, clients in programs with high fidelity to the IPS model were more likely than those in programs with lower fidelity to obtain jobs and to work 20 or more hours per week (12). The programs were sponsored by the Massachusetts Department of Mental Health (DMH) and developed in conjunction with the IPS developers.
The study presented here examined the relationship between self-assessed program fidelity to the IPS model and employment outcomes over time by examining IPS programs that participated in the New York State (NYS) learning collaborative.

Methods

Our work facilitating the implementation of IPS in programs across NYS by using learning collaboratives has been described previously (13). For the study presented here, 78 of the 98 community sites that joined the IPS learning collaborative initiative in 2016 provided self-reported employment data and self-assessed fidelity data. This IPS learning collaborative includes 34 outpatient mental health clinics operating in state psychiatric hospitals and 44 outpatient community programs that provide personalized, recovery-oriented services (PROS) to promote functional recovery for individuals with serious mental illness and are operated by local nonprofit agencies. Although both types of programs are found in the community, they differ in organizational structure (clinic appointments versus rehabilitation milieu) and governance (state government versus nonprofit agencies). The 78 community sites represent 67% (N=34) of 51 state clinic sites and 48% (N=44) of 92 PROS sites in the state in 2016. Of the 20 sites that were not included in this study, six sites were not providing IPS at the time and 14 did not provide fidelity assessments. It should be noted that there were no statistically significant differences in one-month employment rates and in geographic region of the state between the 78 programs in the study presented here and the 14 programs that were excluded for lack of fidelity assessments.
Site program staff—that is, employment staff and supervisors—provided self-reported fidelity assessments by using the IPS Supported Employment Fidelity Scale (https://ipsworks.org/wp-content/uploads/2017/08/IPS-Fidelity-Scale-Eng1.pdf). The IPS learning collaborative initiative emphasizes fidelity to the IPS model. In the learning collaborative, webinars and program-specific consultation calls and visits are used to teach program staff about IPS fidelity and how to self-assess fidelity. Each year, program staff receive one to three hours of training that is specifically focused on fidelity to the IPS model, along with general IPS training that also focus on fidelity (14). Fidelity self-assessments are completed annually by participating programs. In a recent study comparing self-assessed fidelity to independent ratings (14), we found agreement between these two rating methods when looking at programs’ total score on the IPS Supported Employment Fidelity Scale. However, there was variability in agreement for individual items.
Using an online survey via the Qualtrics software platform, participating programs provided monthly performance indicator data. This includes staffing allocations, caseload size, and competitive employment status of those receiving IPS. The employment data used in this study were reported for the month in which the fidelity assessment was conducted. During this month, all participating programs reported the number of people employed competitively. Competitive employment was defined as a community-based job that pays at least minimum wage, is available to any person (that is, not created specifically for people with disabilities), may be full-time or part-time, and does not have time limits determined by the mental health agency. Each program also submitted the number of people on their caseload, defined as the number of individuals receiving at least one individual IPS service during the referenced time (that is, one or three months). One program type (PROS, N=44) also reported competitive employment in a three-month period (the month in which the fidelity measure was submitted and the two months before it) and provided two separate fidelity estimates (with baseline fidelity collected between December 2015 and June 2016, and follow-up fidelity collected in December 2016). We calculated employment rate by dividing the number of people who were competitively employed (one or three months) by the caseload.
To replicate the analyses in the two recent IPS learning community studies by Bond and colleagues (10,11), we used the Pearson correlation to examine our primary hypothesis, that the total fidelity score would correlate positively with the one-month competitive employment rate (all sites) and the three-month competitive employment rate (PROS sites only). Second, in order to examine correlations of individual items on the IPS Supported Employment Fidelity Scale with the one-month competitive employment rate, we used the Bonferroni correction to adjust the p value for multiple comparisons (.05/25=.002). Within PROS programs, we conducted a mixed-effects model to examine the relationship between repeated fidelity and employment measures over time. Specifically, the mixed-effect model takes into account the correlation between repeated measures when estimating the relationship between fidelity and employment measures. Analyses were conducted by using IBM SPSS Statistics, version 23.

Results

Scores on the IPS Supported Employment Fidelity Scale range from 0 to 125, with scores of 100 to 114 representing good fidelity and scores of 115 to 125 representing high fidelity. Across the 78 programs, total fidelity scores ranged from 58 to 122 (mean±SD=93.76±12.80), with almost one-third of the programs (N=25, or 32%) achieving scores that indicated good to high fidelity. The one-month employment rate ranged from 0% to 100% (mean±SD=43%±25%). We found statistically significant correlations between total fidelity scores and the one-month employment rate (r=.331, p=.003). In examining individual fidelity items by using the Bonferroni correction, one item was significantly correlated with the one-month employment rate: diversity of jobs developed (r=.364, p=.001) (Table 1).
TABLE 1. Correlations between self-assessed fidelity of the IPS model and competitive employment rate at one month, by fidelity scale itema
ItemMSDCorrelationpb
Overall fidelity score93.7612.80.331.003
Staffing    
 Caseload size4.081.36–.121.292
 Vocational services staff3.441.54.270.017
 Vocational generalists4.19.88.196.086
Organization    
 Integration of rehabilitation with mental health treatment through team assignment4.541.03.164.151
 Integration of rehabilitation with mental health treatment through frequent team contact4.65.74.091.430
 Collaboration between employment specialists and vocational rehabilitation counselors2.131.27.195.087
 Vocational unit2.541.41.238.036
 Role of employment supervisor2.901.23.135.239
 Zero exclusion criteria4.73.77.132.248
 Agency focus on competitive employment4.50.68.139.225
 Executive team support for supported employment3.281.35.012.916
Services    
 Work incentives planning4.181.14.316.005
 Disclosure4.56.59.086.456
 Ongoing, work-based vocational assessment4.17.97.134.243
 Rapid search for competitive job3.531.08–.017.884
 Individualized job search4.44.98.197.083
 Job development: frequent employer contact2.631.38.140.222
 Job development: quality of employer contacts3.671.39.124.281
 Diversity of jobs developed3.711.44.364.001
 Diversity of employers4.001.17.134.241
 Competitive jobs4.091.22.274.015
 Individualized follow-along supports4.40.94.219.054
 Follow-along supports: time unlimited3.921.04.113.326
 Community-based services2.001.15.232.041
 Assertive engagement and outreach by integrated team3.501.18–.068.557
a
IPS, individual placement and support. Combined data from programs that provide personalized, recovery-oriented services and state clinics during 2016 (N=78). Possible scores on the IPS Supported Employment Fidelity Scale range from 0 to 125, with scores of 100 to 114 representing good fidelity and scores of 115 to 125 representing high fidelity. Possible scores for individual items range from 1 to 5, with higher scores representing higher levels of fidelity.
b
Two-tailed
In examining the 44 PROS programs with three-month outcomes, the baseline total fidelity score averaged 91.5±14.7 and the three-month employment rate averaged 38%±23%, whereas the follow-up total fidelity score averaged 92.2±14.5 and the three-month employment rate averaged 43%±23%. Similar to one-month employment outcomes, we found significant correlations between total fidelity scores and three-month employment rate at both baseline (r=.366, p=.015), and at follow-up (r=.378, p=.025). In the mixed-effects model, examining this relationship over the two time points, the total fidelity score remained a significant contributor (F=4.01, df=1 and 68, p=.049) to the three-month employment rate, although the results did not change significantly between the two time points.

Discussion

This study demonstrated a significant positive relationship between self-reported fidelity to the IPS model and employment, consistent with prior studies assessing programs participating in the IPS learning community (10,11) and with programs contracted by the Massachusetts DMH (12). We also found significant positive correlations between one item on the IPS Supported Employment Fidelity Scale and employment outcomes. Our study extends the findings of previous studies by demonstrating that the relationship between fidelity and employment was sustained over time (up to one year). Additionally, our study shows that the relationship between fidelity and employment was observed through agency self-reported fidelity—rather than fidelity assessed by an external reviewer.
As the demand, particularly among federal and state payers, for evidence-based practices grows, so does the demand for fidelity assessments (15). The study presented here not only provides additional confirmation for the hypothesis that high-fidelity programs have better employment outcomes and shows that these effects are sustained over time, but it also shows that programs supported by the NYS learning collaborative have shown employment rates that are similar to the original IPS learning community. This demonstrates the efficacy of the IPS model and its robustness to implementation by experts other than the original IPS developers. This replicability is key for demonstrating the overall efficacy of the IPS model. Our results also show the robustness of the model in two different program types (outpatient clinics operated by state psychiatric facilities and recovery-oriented programs operated by independent, community-based nonprofit agencies).
As in the two studies of the IPS learning community (10,11) we found that an individual item or items in the IPS fidelity assessment were significantly associated with employment. However, the specific items differed among the three studies. This indicates the importance of using the full fidelity instrument when assessing program quality indicators; no subset of items has been shown to consistently deliver comparable results.
The fidelity assessments in our study were self-reported by program sites; this can be considered both an asset and a limitation. Although external, independent assessment is an important accountability measure, it can be expensive and burdensome for sponsoring agencies to provide on an ongoing basis (14). In a prior study, we showed that agency self-report can yield fidelity scores that are similar to the ones by independent assessors within the NYS learning collaborative (14). Also, in the study presented here, our results indicate that high levels of self-reported IPS fidelity were associated with greater employment rates, much like the findings of earlier studies that used independent assessments to measure IPS fidelity (1012).
This was an observational study that does not demonstrate causality. It is possible that programs with high levels of IPS fidelity have other characteristics that contribute to high employment rates among their clients (for example, additional services may be offered that also contribute to employment rates).
Future research should look at whether site characteristics such as program size or longevity are related to fidelity, employment outcomes, or both; examine why programs choose to invest in providing IPS services; identify the most significant fidelity items contributing to positive employment outcomes; consider employment outcomes beyond employment status, such as job tenure and hours worked each week; and identify mediators and moderators at the client and site levels that may influence program outcomes.

Conclusions

The study presented here provides further evidence about the importance of implementation fidelity for IPS-supported employment. Self-assessment of IPS fidelity by program sites was shown to be associated with higher employment rates, which are sustained over time. Employment is a normative activity for individuals with serious mental illness and can be an important component of their recovery. Employment can also provide both an income and a quantifiable way to participate in the community. Programs that offer high-fidelity IPS services can help clients achieve their goals.

Footnote

Dr. Humensky receives salary support from the National Institute of Mental Health (grant K01MH103445).

References

1.
McHugo GJ, Drake RE, Teague GB, et al: Fidelity to assertive community treatment and client outcomes in the New Hampshire dual disorders study. Psychiatric Services 50:818–824, 1999
2.
Guydish J, Campbell BK, Manuel JK, et al: Does treatment fidelity predict client outcomes in 12-step facilitation for stimulant abuse? Drug and Alcohol Dependence 134:330–336, 2014
3.
Gilmer TP, Stefancic A, Katz ML, et al: Fidelity to the Housing First model and effectiveness of permanent supported housing programs in California. Psychiatric Services 65:1311–1317, 2014
4.
Haataja A, Voeten M, Boulton AJ, et al: The KiVa antibullying curriculum and outcome: does fidelity matter? Journal of School Psychology 52:479–493, 2014
5.
Kalafat J, Illback RJ, Sanders D Jr: The relationship between implementation fidelity and educational outcomes in a school-based family support program: development of a model for evaluating multidimensional full-service programs. Evaluation and Program Planning 30:136–148, 2007
6.
Gray HL, Contento IR, Koch PA: Linking implementation process to intervention outcomes in a middle school obesity prevention curriculum, ‘Choice, Control and Change.’ Health Education Research 30:248–261, 2015
7.
Drake RE, Bond GR, Becker DR: Individual Placement and Support: An Evidence-Based Approach to Supported Employment. New York, Oxford University Press, 2012
8.
Bond GR, Becker DR, Drake RE, et al: Implementing supported employment as an evidence-based practice. Psychiatric Services 52:313–322, 2001
9.
Becker DR, Swanson S, Bond GR, et al: Evidence-Based Supported Employment Fidelity Review Manual. Lebanon, NH, Dartmouth Psychiatric Research Center, 2008
10.
Bond GR, Peterson AE, Becker DR, et al: Validation of the revised Individual Placement and Support Fidelity Scale (IPS-25). Psychiatric Services 63:758–763, 2012
11.
Kim SJ, Bond GR, Becker DR, et al: Predictive validity of the Individual Placement and Support Fidelity Scale (IPS-25): a replication study. Journal of Vocational Rehabilitation 43:209–216, 2015
12.
Henry AD, Hashemi L, Zhang J: Evaluation of a statewide implementation of supported employment in Massachusetts. Psychiatric Rehabilitation Journal 37:284–288, 2014
13.
Margolies PJ, Broadway-Wilson K, Gregory R, et al: Use of learning collaboratives by the Center for Practice Innovations to bring IPS to scale in New York State. Psychiatric Services 66:4–6, 2015
14.
Margolies PJ, Humensky JL, Chiang I, et al: Is there a role for fidelity self-assessment in the individual placement and support model of supported employment? Psychiatric Services 68:975–978, 2017
15.
Bond GR, Drake RE, McHugo GJ, et al: Strategies for improving fidelity in the National Evidence-Based Practices Project. Research on Social Work Practice 19:569–581, 2009

Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services

Cover: Le Tournesol, by Edward Steichen, circa 1920. Tempera and oil on canvas. Gift of the Collectors Committee, National Gallery of Art, Washington, D.C. © Estate of Edward Steichen.

Psychiatric Services
Pages: 609 - 612
PubMed: 29656706

History

Received: 29 October 2017
Revision received: 21 January 2018
Accepted: 23 February 2018
Published online: 16 April 2018
Published in print: May 01, 2018

Keywords

  1. Vocational rehabilitation
  2. Rehabilitation/psychosocial
  3. Recovery
  4. Program evaluation
  5. Individual Placement and Support

Authors

Details

Paul J. Margolies, Ph.D. [email protected]
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.
Jennifer L. Humensky, Ph.D.
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.
I-Chin Chiang, M.S.
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.
Nancy H. Covell, Ph.D.
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.
Thomas C. Jewell, Ph.D.
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.
Karen Broadway-Wilson, B.S.
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.
Raymond Gregory, B.S.
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.
Gary Scannevin, Jr., M.P.S., C.P.R.P.
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.
Lisa B. Dixon, M.D., M.P.H.
Dr. Margolies, Dr. Humensky, Dr. Covell, and Dr. Dixon are with the Department of Psychiatry, Columbia University Medical Center, New York. They are also with the New York State Psychiatric Institute, New York, where all of the other authors are affiliated.

Notes

Send correspondence to Dr. Margolies (e-mail: [email protected]).

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

National Institute of Mental Health10.13039/100000025: K01MH103445

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

View Options

View options

PDF/EPUB

View PDF/EPUB

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - Psychiatric Services

PPV Articles - Psychiatric Services

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share