Volume 44 Number 6, 2007
Pages 785 — 800
Effects of participation in consumer-operated service programs on both personal and organizationally mediated empowerment: Results of multisite study
E. Sally Rogers, ScD;1* Gregory B. Teague, PhD;2 Carolyn Lichenstein, PhD;3 Jean Campbell, PhD;4 Asya Lyass, MA;1 Ren Chen, MS;5 Steven Banks, PhD6†1Center for Psychiatric Rehabilitation, Boston University, Boston, MA; 2Department of Mental Health Law and Policy, Louis de la Parte Florida Mental Health Institute, University of South Florida, Tampa, FL; 3Walter R. McDonald & Associates, Inc, Sacramento, CA; 4Program in Consumer Studies and Training, Missouri Institute of Mental Health, University of Missouri, St. Louis, MO; 5Policy and Services Research Data Center, Department of Mental Health Law and Policy, Louis de la Parte Florida Mental Health Institute, University of South Florida, Tampa, FL; 6Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA
Abstract — The number of empowerment-oriented consumer-operated service programs (COSPs) in mental health has increased dramatically over the past decade; however, little empirical evidence exists about the effects of such programs on their intended outcomes. This study examined the effects of COSPs on various aspects of empowerment within the context of a multisite, federally funded, randomized clinical trial of COSPs. Results suggest that the individuals who received the consumer-operated services perceived higher levels of personal empowerment than those in the control intervention; overall, effect sizes were very modest when all sites were examined together in intent-to-treat analyses. However, we noted variations in outcomes by intensity of COSP use and also by study site, which suggest that specific programs had significant effects, while others did not. The implications of these results for the mental health field and for service providers and policy makers are discussed.Clinical Trial Registration: The International Committee of Medical Journal Editors (ICMJE) has proposed a policy for the registration of clinical trials stating that any trial enrolling participants after July 1, 2005, should be registered. For trials that began enrollment before this date, the ICMJE member journals required registration by September 13, 2005. This study was funded from 1998 until 2004 and thus was concluded before the development of the ICMJE policy on registration. Therefore, this study was not registered as a clinical trial.
Key words: consumer-operated service programs, effectiveness, empowerment, mental health, multisite trial, mutual help, organizationally mediated empowerment, personal empowerment, randomized clinical trial, rehabilitation.
Abbreviations: AT = as-treated, CMHS = Center for Mental Health Services, COSP = consumer-operated service program, DHHS = Department of Health and Human Services, ES = effect size, IRB = institutional review board, ITT = intent-to-treat, MDE = Making Decisions Empowerment, OME = Organizationally Mediated Empowerment, PE = Personal Empowerment, SAMHSA = Substance Abuse and Mental Health Services Administration, SD = standard deviation.*Address all correspondence to E. Sally Rogers, ScD; Center for Psychiatric Rehabilitation, Boston University, 940 Commonwealth Avenue, Boston, MA 02215; 617-353-3549; fax: 617-353-7700. Email: firstname.lastname@example.org†Dr. Steven Banks died August 10, 2007.DOI: 10.1682/JRRD.2006.10.0125INTRODUCTION
Development and funding of consumer-operated service programs (COSPs) in the mental health field have increased dramatically over the past decade [1-2]. COSPs, i.e., programs run by and for consumers , have developed along multiple paths that have resulted in a variety of program typologies, service structures, and funding streams. Many of these programs have comparable missions and goals, most notably, increased perceived empowerment among participants .
Consumer-operated and other types of self-help programs began proliferating in the mid-1900s with the advent of groups like Alcoholics Anonymous and other so-called "12-step" programs. Such programs were seen as a response to both the limited effectiveness of traditional approaches in treating addiction problems and, simultaneously, the power of groups to come together and offer support, solace, and assistance in a way that traditional mental health services could not. These programs, arguably the "oldest and most pervasive" of peer programs , evolved beyond substance abuse to address the needs of mental health consumers and now include groups such as Schizophrenics Anonymous . Their growth has been so robust that a recent U.S. national survey identified a total of 7,467 such mental health mutual support groups and COSPs-a figure that exceeds the number of traditional mental health organizations .
Self-help programs are often described as vehicles for sharing experiences in an atmosphere of nonjudgmental acceptance and obtaining help coping with crises . These characteristics were corroborated in a qualitative longitudinal study in which Ochocka and colleagues described COSPs as safe and welcoming environments and social arenas that offer opportunities to interact with peers and connect with the community at large . At least one sociologist further posited the "helper-therapy" principle, i.e., the opportunity to help others and receive benefits in the process , which has been demonstrated empirically within the peer support field and the general population [11-12].
Weaver Randall and Salem described the "active ingredients" of self- and mutual-help programs . These programs can provide venues where experiential knowledge can be shared, role models of recovery and healing are present, and social support and valued organizational roles are available [13, p. 174]. In addition, such programs provide a sense of connection, belonging, and community that is often lacking for individuals who receive services in the traditional mental health system . Further, Solomon describes both social support and experiential knowledge as being critical ingredients in peer support .
Campbell delineates three important social movements that intersected to help shape the development and proliferation of COSPs: (1) the growth of self-help in fields other than mental health, (2) the deinstitutionalization of individuals being treated for psychiatric problems and the concomitant increase in programs for them in their communities, and (3) the rise of the patients' rights movement in psychiatry and the growing influence of the "nothing about us without us" philosophy .
In one of the most comprehensive narrative reviews of self-help and COSPs to date, Campbell examined 20 studies of mental health self-help programs, excluding those on programs in which the only enhancement was the addition of a peer to a team of professional providers . Overall, these studies suggested that self-help and peer support programs can promote empowerment and recovery [14-15]. Combined with a similar review by Solomon , preliminary evidence suggests that these programs decrease the need for acute mental health services and mental health hospitalizations [14,16-17]; increase social support, functioning, and activities [16,18-19]; decrease substance abuse [14,16]; and may benefit perceived quality of life [20-21].
The majority of these studies had significant limitations in their internal validity and scientific rigor and therefore in the conclusions that could be drawn from them. Only one of the studies involved a randomized trial of the effectiveness of a COSP (i.e., a crisis hostel program ). Most of the studies were descriptive, had very small samples, were of questionable representativeness, were cross-sectional surveys, or were simple pre- to postevaluations of effectiveness, with the resulting potential for significant selection biases. Thus, despite the vast proliferation of COSPs and some preliminary studies about their effectiveness and active ingredients, little systematic research or empirical evidence is available about the effects of such programs on their intended outcomes.
Further complicating this examination of empowerment within COSPs is the ambiguity surrounding the use of this construct as an outcome measure. Campbell described empowerment as one of the myriad "caring" functions served by COSPs . Fisher and Ahern described the contemporary values that shape most self-help programs in mental health as empowerment, personhood, and recovery-orientation (http://www.power2u.org/articles/recovery/people_can.html). This clear focus on empowerment as a goal of COSPs appears to have emerged, at least in part, from feelings of disenfranchisement and powerlessness among mental health consumers as a result of a perceived lack of choice and control over their mental health services and treatment .
But despite the burgeoning use of the term empowerment within COSPs and its more ubiquitous presence in the mental health system, no consensus on its meaning appears to exist. Some researchers and authors describe empowerment as a complex multidimensional construct with psychological, social, and political components , while others have described the concept from a social and organizational perspective . At least three measures have been developed and tested that examine empowerment among consumers of mental health services; these measures provide the operational definitions of empowerment for this study [24-25].
The overall purpose of this study (the COSP-Multisite Research Initiative, which was funded by the U.S. Department of Health and Human Services [DHHS], Substance Abuse and Mental Health Services Administration [SAMHSA]), was to rigorously examine the effectiveness of COSPs on various psychological, social, and objective and subjective functioning domains among individuals who receive traditional mental health services. Our goals in this component of the study were to (1) determine whether any significant differences existed in the four measures of empowerment (three personal-level empowerment measures and one organizationally mediated empowerment measure) by experimental condition, (2) determine whether the COSP sites varied with respect to differences between the experimental and control groups or to change over time, (3) describe patterns of change in empowerment over time, and finally (4) examine whether engagement intensity in the COSP resulted in greater changes in empowerment (i.e., examine the dose-response relationship).METHODSParticipants
Participants of the multisite study were required to have Diagnostic and Statistical Manual of Mental Disorders Axis I or II diagnosis that constituted a serious mental illness, such as schizophrenia, schizoaffective disorder, or a major depressive disorder; a diagnosis of substance abuse alone was insufficient . Diagnostic information was collected at each of the eight sites either by the mental health service providers (seven sites) or diagnostic interviews conducted by clinicians on the research staff (one site). In addition to having a serious and persistent mental illness, participants must have been (1) 18 years of age or older, (2) able to provide full and informed consent, and (3) actively involved with a traditional mental health provider in the 12 months before study entry (Š4 mental health services in the past year with Š1 of those services in the 4 months before study entry). Exclusion criteria included (1) an inability to participate in the research interviews or (2) more than minimal involvement in the COSPS under study within the past 6 months (>3 visits to or meetings in the COSP under study). Individual sites were allowed to impose additional inclusion and exclusion criteria specific to their local programs as long as they adhered to the multisite inclusion and exclusion criteria. All research procedures were reviewed and approved by the institutional review boards (IRBs) at the individual research sites as well as by the IRB at the Coordinating Center at the University of Missouri.InstrumentsCommon Assessment Protocol
A common assessment protocol composed of 27 scales or domains was used across all sites. To assure that the scales would yield reliable data, we selected validated scales with published data on the target population wherever available. We used scales that were culturally sensitive by having the protocol reviewed by a panel of experts with expertise in cross-cultural issues in mental health.
The common assessment protocol measured demographic variables, status variables (e.g., employment, finances, housing), clinical variables (e.g., symptoms, substance use), and subjective indicators (e.g., quality of life, hope, recovery, and social inclusion). We conducted two rounds of pilot testing of the assessment protocol and the standardized interviewer training to ensure accurate data collection.Empowerment MeasuresMaking Decisions Empowerment.
The Making Decisions Empowerment (MDE) scale is a 28-item instrument designed to measure subjective feelings of empowerment in which respondents rate statements on a 4-point scale (1 = "Strongly Agree" and 4 = "Strongly Disagree") . Most of the items indicate greater empowerment; individual scale values for these items are reversed (subtracted from 5) so that higher scores are more favorable, and responses are then summed across items. The scale taps the domains of self-efficacy, perceived power, optimism about and control over the future, and community activism and has good consistency and internal reliability as well as good factorial and known groups' validity . Examples of items include "People working together can have an effect on their community" and "I am often able to overcome barriers." For this study, we calculated the internal consistency for this instrument using baseline data as 0.81 (Cronbach a).Personal Empowerment.
The Personal Empowerment (PE) scale is a 20-item tool with two subscales, Choice and Reduction in Chance, each with a different set of response choices. The Choice subscale measures how much choice a person has in his or her life using a 4-point Likert scale (1 = "No Choice" and 4 = "A Lot of Choice") . Examples of items include "How much choice do you have about how you will spend your free time?" and "How much choice do you have about where to go to get help when you have problems?" The second subscale asks respondents to rate the amount of certainty in their social, residential, and financial lives on a 5-point scale (1 = "Very Likely" or "Very Sure" and 5 = "Very Unlikely" or "Very Unsure"). Items include "How likely is it that you will get enough to eat in the next month?" and "How sure are you about how you are going to spend your time in the next month?" Most of the items indicate greater certainty about the future; individual scale values for these items are reversed so that higher scores are more favorable, and responses are then summed across items. The authors report adequate internal consistency for the overall measure . Internal consistency for the two subscales in this study was 0.78 and 0.74 (Cronbach a) for the Choice and the Reduction in Chance subscales, respectively.
Organizationally Mediated Empowerment. The Organizationally Mediated Empowerment (OME) scale is a 17-item scale that inquires about involvement in an organization or a club with dichotomous (Yes/No) responses . Examples of items include "In the past 4 months, have you voted in an election for officers of an organization or club?" and "In the past 4 months, have you become a volunteer on a regular basis?" The scale is scored by summing across the "Yes" responses . Internal consistency for the OME scale in this study was 0.83 (Cronbach a).
Intensity of Engagement in Intervention. Intervention engagement intensity was assessed by program attendance. Although record-keeping procedures varied somewhat across sites because of structural differences, each site was required to report program attendance in a consistent format. For example, attendance was often easier to monitor and track in peer support programs than drop-in programs, which, by their nature, are more informal, spontaneous, and generally do not involve structured encounters. In addition to each site collecting program attendance data, each participant was asked (as part of the interview protocol) about the frequency of his or her attendance at a COSP. From these data, we constructed two variables to measure engagement in or intensity of the intervention; the first was defined as "binary engagement" and represented any contact at all with the experimental site or condition. It was constructed from a combination of information on program attendance and self-report data. We used both sources of data to ensure greater reliability. Thus, if the program failed to capture a participant's attendance, self-report data provided that information. For the second variable, using only data reported by the programs, we assigned each participant one of the following three scores: 0 = no use of the program; 1 = low use of the program, i.e., >0 visits to the program but <8.5 (the median value for the study); and 2 = high use of the program, i.e., >8.5 visits to the program. We used this upper cutoff to mitigate potentially spurious effects of extreme utilization values, which can occur in drop-in programs that allow numerous visits per day and are available most days of the year. For this second variable, we were unable to use self-report attendance data, which were reported on a 7-point scale that captured frequency. These data could not be combined with the program data, which consisted of numerical counts.Scope of Empowerment Measures
As mentioned previously, one of the advantages of this study was our ability to triangulate on the measure of empowerment. The MDE scale measures the more global and personal aspects of empowerment, such as self-efficacy and a sense of control over one's life, whereas the PE subscales focus on choice, certainty, and self-determination in one's life. The OME scale provides information on one's involvement as an organizational member and community activist. Developers of the PE and OME scales argue that these constructs and their measurement are critical ingredients of empowerment. While the scales that measured personal-level empowerment were moderately correlated in this study (MDE with PE Choice: r = 0.31, MDE with PE Reduction in Chance: r = 0.42), they were less highly correlated with the OME scale because they tap different aspects of the construct, i.e., personal versus organizational empowerment (MDE with OME: r = 0.28, PE Choice with OME: r = 0.07, and OME with PE Reduction in Chance: r = 0.13).ProceduresSample and Recruitment
At all sites participants were recruited from one or more traditional mental health providers who partnered with the COSP; a common "induction" process was followed at each site. Participants were randomized to either the experimental or control group, with sex as a blocking variable. Additional blocking variables, such as race/ethnicity, were used at several sites. Using these procedures, we recruited, screened, gained informed consent from, and enrolled 1,827 individuals in the study.Interventions
Experimental Arm. The experimental condition involved attendance at the COSP under study in addition to usual traditional mental health services. The eight study sites were located in various states around the country, including three in the northeast, one on the west coast, two in the South, and two in the Midwest; experimental and control groups were located at each site. The experimental COSPs loosely fell into the following categories: drop-in (n = 4), peer support and mentoring (n = 2), and education and advocacy (n = 2). As described previously, common ingredients across all COSPs included a focus on peer support, recovery education, empowerment, and tangible assistance for independent community living. A measure was conceptualized, developed, and tested during the study that allowed us to examine the extent to which programs exhibited the principles and practices identified by our study experts (e.g., choice, recovery orientation). For a full description of these programs and measurement of both the common ingredients of the programs and their fidelity, please refer to Johnsen et al. .Control Arm.
The control condition consisted of an array of traditional mental health services, such as psycho-pharmacology and medication management, case management, residential services, psychotherapy, day services, and psychosocial rehabilitation services. Mental health services such as these are delivered by many different professionals and paraprofessionals including psychiatrists, social workers, psychologists, and residential providers. These services would be considered standard interventions in many mental health systems.Assessment Procedures
The assessment protocol was administered in a face-to-face interview after recruitment and initial screening were performed and informed consent was obtained. All informed consent forms and procedures were approved by local IRBs. Interviewers were carefully trained, monitored, and supervised. Follow-up assessments were briefer versions of the baseline protocol and took about 1-2 hours to complete. Randomization occurred subsequent to the baseline interview. Each site developed randomization procedures that prevented "gaming," largely through the use of computer-generated random number tables; these procedures remained under the control of the researchers and not the interviewers or program staff. Follow-up assessments were conducted at 4, 8, and 12 months.Statistical Analyses
Statistical analyses were conducted with SPSS, version 13.0, (SPSS Inc, Chicago, Illinois) or SAS, version 9.0, (SAS Inc, Cary, North Carolina). We derived scale scores at each time point for each measure using mean substitution when <1 or 2 items were missing depending upon the scale length. Descriptive statistics and baseline differences across the sites were examined with analysis of variance.
We designed the primary analyses to examine the effectiveness of the intervention using an intent-to-treat (ITT) approach, i.e., comparing outcomes based on randomization status regardless of actual participation in the intervention. We used a mixed model approach (SAS) to examine differences in outcomes between the experimental and control groups over time. We converted time points to a continuous variable that ranged from 1 to 4, with 1 representing baseline, 2 representing the first follow-up, 3 representing the second follow-up, and 4 representing the last follow-up. Site × group × time interactions were included in the models; subject was treated as a fixed effect, and autoregressive covariance structures were used because each person's data over time were expected to be correlated. All participants with data at baseline and at least one follow-up were included. Missing data imputation at the scale level was not necessary because the mixed procedure includes all available data.
To examine the magnitude of the effects, we derived effect sizes (ESs) from the slope of the difference between the experimental and control groups overtime divided by the mean standard error.
Further, we examined whether actual use of the intervention, regardless of assigned condition, affected participants' outcomes using both measures of engagement and an as-treated (AT) approach.
We were concerned that individuals who elected to use the COSPs might be different in demographic or clinical characteristics from individuals who elected not to use the programs. If these differences were present, a selection bias that could confound the results may have existed. For example, if equal numbers of men and women were assigned to the experimental condition (COSP) but more women than men actually engaged in or attended the program, sex could confound examination of the effectiveness of the COSP. Therefore, we used a propensity score technique to create groups that were similar in characteristics and only differed in propensity of COSP use . We used logistic regression to predict whether a subject with postbaseline data was among those who would have engaged in the experimental condition, whether or not they had been assigned to that condition through randomization. Baseline clinical and demographic variables served as independent variables, producing for each individual a propensity score that represented the probability that the person would self-select into the COSP. We compared engagement groups using only data from participants who scored in the middle third of the COSP-use propensity distribution; thus, our analysis included only those participants who were the least inclined to either seek or avoid COSPs. Although this approach reduced statistical power and resulted in a more conservative test, the observed differences may be more validly attributed to program effects than selection biases.
For the AT analyses, we used mixed models structured as in the ITT analyses, except they included different group variables and a subsample of participants that was restricted to the middle third of the COSP-use propensity distribution.RESULTSAnalyses of Baseline Data
All ITT analyses presented here included the entire sample of participants, while the AT analyses included a subsample of participants as previously described.Demographic and Clinical Characteristics
Baseline demographic data for the entire sample suggested that participants were, on average, in their early 40s (with large variability in age), from diverse racial/ethnic backgrounds, and had had substantial involvement with the mental health system prior to the study. With receipt of Social Security payments as a proxy measure, the participants appeared to have severe disabilities because of their psychiatric illnesses. In addition, fully 50 percent of the sample was diagnosed with schizophrenia or psychotic disorder. Full descriptive data appear in Table 1.
Table 1.Baseline participant characteristics (N = 1,827). Characteristic Percent Mean Demographic Sex (% female) 60.1 - Age (yr) - 42.7 Race/Ethnicity White 56.9 - African American 16.5 - Hispanic 1.2 - Other 2.5 - Biracial/Multiracial 22.4 - Currently Married 12.6 - Have Any Children 52.8 - Currently Employed for Pay or Volunteer 29.3 - Education 0-8 yr 9.3 - 9-12 yr 23.7 - High School Graduation 25.3 - Any College/Vocational Training 38.7 - Any Postgraduate Work 3.0 - Social Security Income (last 30 d) 83.6 - Living Arrangement Currently in Own Residence 57.9 - Currently Homeless 10.2 - Clinical Primary Axis I Diagnosis Mood Disorders 44.4 - Anxiety Disorders 3.7 - Schizophrenia/Psychotic Disorders 50.4 - Other 1.5 - Any Psychiatric Hospitalization 82.1 - Age First Psychiatric Contact (yr)
(hospitalization or outpatient)
- 23.0 >5 Psychiatric Hospitalizations 36.3 - Recent Psychiatric Hospitalization 16.0 - Physical Disability 51.7 -Baseline Differences
Given the reasonably large number of individuals per site and the careful randomization procedures, we expected that randomization would result in groups with no significant differences at baseline on the outcome measures but conducted baseline analyses as a check on these procedures. We found no significant differences in baseline scores for the MDE, PE Choice, PE Reduction in Chance, or OME for the entire sample by experimental condition (Table 2). Site analyses demonstrated a significant difference between groups at only two sites on the baseline measures. At site 6, those in the experimental group had higher mean MDE scores than those in the control group, while at site 7, those in the control group had higher OME scores (Table 2).
Table 2.Baseline mean ± standard deviation for Making Decisions Empowerment (MDE), Personal Empowerment (PE), and Organizationally Mediated Empowerment (OME) by site and differences between experimental (n = 920) and control (n = 907) groups by site and overall. Actual n for each outcome may vary because of missing values. Outcome Site Experimental Control F-Statistic MDE 1 79.06 ± 8.66 81.03 ± 9.28 1.53 2 75.92 ± 7.86 75.98 ± 8.19 0.01 3 76.32 ± 6.62 76.79 ± 7.08 0.15 4 78.77 ± 7.82 79.49 ± 7.43 0.56 5 77.39 ± 8.24 79.12 ± 7.86 2.77 6 81.13 ± 8.28 77.80 ± 8.59 6.93* 7 79.35 ± 8.69 79.93 ± 7.85 0.17 8 86.32 ± 9.37 84.06 ± 9.94 1.35 Total MDE All Sites 78.12 ± 8.47 78.23 ± 8.43 0.00 PE Choice 1 34.12 ± 4.31 32.85 ± 5.14 2.31 2 32.31 ± 5.58 32.58 ± 5.66 0.37 3 29.42 ± 5.65 29.82 ± 6.22 0.14 4 30.81 ± 5.37 30.53 ± 5.51 0.16 5 32.93 ± 5.18 32.76 ± 5.34 0.06 6 32.84 ± 5.19 32.37 ± 4.38 0.43 7 29.77 ± 5.56 31.36 ± 4.27 3.70 8 33.49 ± 3.83 34.15 ± 5.09 0.53 Total PE Choice All Sites 32.05 ± 5.43 32.11 ± 5.43 0.05 PE Reduction in Chance 1 39.83 ± 6.28 39.67 ± 6.11 0.02 2 37.16 ± 6.17 37.25 ± 6.45 0.03 3 39.45 ± 5.79 37.50 ± 6.27 3.28 4 39.17 ± 6.46 38.92 ± 5.84 0.09 5 38.96 ± 6.44 37.77 ± 6.08 2.16 6 38.72 ± 6.00 38.05 ± 6.00 0.55 7 39.47 ± 6.67 40.54 ± 5.52 1.12 8 42.08 ± 5.22 40.17 ± 5.75 2.92 Total PE Reduction in Chance All Sites 38.62 ± 6.32 38.25 ± 6.21 1.58 OME 1 2.63 ± 3.05 2.90 ± 3.59 0.22 2 1.40 ± 2.34 1.40 ± 2.48 0.00 3 2.58 ± 2.62 2.25 ± 2.52 0.53 4 1.65 ± 2.15 1.83 ± 2.24 0.41 5 2.17 ± 2.30 2.39 ± 2.59 0.45 6 2.52 ± 3.05 3.08 ± 3.03 1.54 7 2.16 ± 2.42 3.39 ± 3.06 7.07* 8 6.38 ± 3.71 5.77 ± 3.51 0.70 Total OME All Sites 2.15 ± 2.79 2.32 ± 2.92 1.70 *Significant difference between sites at p < 0.01.
We did, however, find significant differences across sites in baseline values of the MDE, PE Choice, PE Reduction of Chance, and OME (F = 20.01, df = 7, p < 0.001; F = 12.15, df = 7, p < 0.001; F = 8.73, df = 7, p < 0.001; and F = 42.82, df = 7, p < 0.001, respectively). The site effect was not unexpected since participants may have naturally varied by site given the diverse geography and variety of traditional mental health programs from which they were recruited. In addition, sites could have imposed additional inclusion criteria (beyond these described previously for the multisite study) that could account for some of the cross-site variability. However, one site (site 8) was deemed from these analyses as well as other data to be an outlier, in that the baseline MDE and OME scores at this site were significantly higher than other sites. As will be described subsequently, these findings led us to perform sensitivity analyses within the ITT analyses that excluded this site. We found a significant site × group interaction for the MDE (F = 2.09, df = 7, p = 0.04) but no such interactions for the remaining measures. Table 2 contains baseline mean and standard deviation (SD) data by site and group.Engagement and Attrition
Since study participants were able to continue to receive traditional mental health services and use COSPs regardless of their randomization assignment, the degree of adherence to the assigned condition was a critical factor in this study. We found that 57 percent of those assigned to the intervention condition and 15 percent of those assigned to the control condition used the COSPs, which made the ITT analytic approach a conservative one. The attrition rate from baseline to the end point of the study (12 months) was approximately 20.5 percent.Primary Intent-To-Treat Analyses
The primary purpose of these analyses was to determine whether any significant differences existed in the four empowerment measures by experimental condition over time for the randomized sample. Results reported here are based on data for the maximum number of participants eligible for each analysis, i.e., those who had data for baseline and at least one follow-up on the given measure.Making Decisions Empowerment
Results of ITT mixed procedure analyses for the MDE scale showed a significant time effect (F1, 4059 = 28.13, p < 0.001), which reflected an increase in empowerment over time for study participants overall. The main effect of experimental condition over time (i.e., time × group interaction) was not significant (F1, 4059 = 2.30, p = 0.13), but the time × group × site interaction was suggestive (F7, 4059 = 1.44, p = 0.19), since significance values should ideally be >0.2. Sensitivity analyses confirmed that one site (site 8) was the principal source of this interaction as described previously. Results of analyses repeated with this site excluded indicated a significant time × group interaction (F1, 3815 = 5.68, p = 0.02) and no significant time × group × site interaction (F6, 3815 = 0.88, p = 0.51).Personal Empowerment: Choice
Results of the mixed procedure ITT analyses for the PE Choice suggested a significant effect over time for study participants overall (F1, 4062 = 10.75, p = 0.001). Examination of the time × group interaction provided results that just missed the cutoff for significance (F1, 4062 = 3.53, p = 0.06); we did, however, find a significant time × group × site interaction (F7, 4062 = 2.45, p = 0.02). Sensitivity analyses again indicated that the same site as for the MDE analyses (site 8) was a prime contributor to this interaction, but this time we found other site differences. Subsequent analysis excluding site 8 suggested not only a significant time × group interaction (F1, 3818 = 5.41, p = 0.02) but also a significant time × group × site interaction (F6, 3818 = 2.70, p = 0.013), which indicated that time × group effects across the remaining sites still varied significantly.Personal Empowerment: Reduction in Chance
Results of the mixed procedure ITT analyses for the PE Reduction in Chance subscale showed neither an overall effect of time (F1, 4025 = 1.95, p = 0.16) nor a time × group interaction effect (F1, 4025 = 0.05, p = 0.82).Organizationally Mediated Empowerment
OME scores were generally quite low and positively skewed in this study. On the 17-point OME scale, the baseline mean was just over 2 and the modal score was 0. Transformation of the scores to achieve more normal distributions had negligible effect, so results reported here are based on raw scores.
Results of the mixed procedure ITT analyses for the OME scale showed an overall negative effect over time (F1, 4075 = 47.17, p < 0.001); on average, scores declined over time. Moderating this trend, we found a significant positive time × group interaction effect (F1, 4075 = 4.75, p = 0.03). However, the time × group × site interaction (F7, 4075 = 1.87, p = 0.07) just missed the cutoff for significance; this result was not attributable to any one site.Relationship of Intervention Engagement Intensity to Outcomes: As-Treated Analyses
These analyses determined whether engagement or involvement intensity in the COSP resulted in greater changes in empowerment. These analyses included the subsample of participants described in the "Statistical Analyses" (p. 789) section. This AT analytic approach represents an important complement to the ITT analyses, particularly in view of the only modest engagement in COSPs by persons assigned to the experimental condition. Table 3 contains the mean and SD of the no-use, low-use, and high-use groups on each of the dependent measures for each time point.
Table 3.Mean ± standard deviation (SD) for Making Decisions Empowerment (MDE), Personal Empowerment (PE), and Organizationally Mediated Empowerment (OME) scales by intervention engagement intensity for each time point. Data presented in these analyses only for participants in middle third of consumer-operated service program propensity distribution. Outcome Time
No Use Low Use High Use Mean ± SD n Mean ± SD n Mean ± SD n MDE* 1 78.23 ± 8.10 365 78.53 ± 8.43 77 77.14 ± 6.55 78 2 78.42 ± 7.80 335 78.95 ± 7.22 72 78.79 ± 6.76 74 3 78.91 ± 7.93 309 78.57 ± 7.95 65 79.38 ± 6.61 71 4 79.31 ± 8.12 271 79.91 ± 9.24 69 81.35 ± 6.60 64 PE Choice† 1 33.11 ± 4.71 368 31.94 ± 5.08 77 31.11 ± 6.19 76 2 32.83 ± 5.37 337 31.81 ± 6.02 73 32.35 ± 5.07 71 3 32.82 ± 5.42 315 31.74 ± 5.61 66 32.28 ± 5.42 71 4 33.24 ± 4.87 273 32.49 ± 6.24 69 33.20 ± 5.05 65 PE Reduction in Chance 1 38.58 ± 6.17 366 39.16 ± 5.51 78 39.02 ± 5.79 74 2 38.87 ± 6.25 333 38.86 ± 6.60 74 40.21 ± 5.13 68 3 38.97 ± 6.26 312 38.59 ± 5.96 66 39.45 ± 4.95 68 4 39.49 ± 5.93 271 38.70 ± 6.96 70 39.25 ± 5.31 62 OME 1 2.27 ± 2.86 366 2.02 ± 2.96 78 2.21 ± 2.79 78 2 1.70 ± 2.25 334 1.92 ± 2.44 74 2.19 ± 2.59 74 3 1.57 ± 2.22 312 1.51 ± 2.23 67 2.62 ± 3.07 73 4 1.61 ± 2.20 272 1.52 ± 2.22 70 2.66 ± 2.89 65 *Significant differences between groups (F2, 1306 = 7.03, p = 0.02); high use > no use, low use.
†Significant differences between groups (F2, 1306 = 3.15, p = 0.04); high use > no use.
As noted earlier, in order to minimize selection bias, we only analyzed data for participants in the middle third of the COSP use propensity distribution. Results of these analyses suggest a significant effect of intervention intensity for both the MDE and the PE Choice. The time × engagement interaction was significant with the binary measure only for the MDE (F1, 314 = 3.97, p = 0.046), but the time × engagement interaction was significant with the intensity measure for both the MDE (F2, 1306 = 7.03, p = 0.02) and PE Choice (F2, 1316 = 3.15, p = 0.04). We found no significant time × engagement intensity × site interactions for these measures. Thus, these results suggest greater effects on personal empowerment from higher levels of COSP engagement intensity. We found no significant effects for the PE Reduction in Chance. The time × engagement intensity interaction for the OME was not significant with the intensity measure (F2, 1317 = 1.93, p = 0.15), although the time × engagement intensity × site interaction (F14, 1317 = 1.48, p = 0.11) reflected considerable variation in time × engagement intensity interactions across sites. ITT and AT results are presented in Table 4.
Table 4.Summary of intent-to-treat (ITT) and as-treated (AT) statistical analyses (p-values) for Making Decisions Empowerment (MDE), Personal Empowerment (PE), and Organizationally Mediated Empowerment (OME) scales. Results MDE MDE
(1 site removed*)
(1 site removed*)
OME ITT Time × Group NS 0.02 0.06 0.02 NS 0.03 Time × Group × Site 0.19† NS 0.02 0.01 NS 0.07‡ AT Binary Engagement (yes/no) Time × Group 0.046 - NS - NS NS Time × Group × Site NS - NS - NS NS Intensity (no use, low use, high use) Time × Group 0.02 - 0.04 - NS NS Time × Group × Site NS - NS - NS 0.11†‡ *Note that sensitivity analyses were conducted if significant time × group × site interaction existed.
†p = 0.2 was cutoff for 3-way interaction.
‡This marginally significant time × group × site interaction was not attributable to any 1 site; therefore, we do not present sensitivity analysis with 1 site removed.
NS = not significant.Additional Secondary Analyses
In addition to assessing the significance of relationships, we examined the ES changes in experimental participants over time compared with changes in control group participants over time both by site and for all sites combined. Small and variable sample sizes precluded the primary use of significance levels for site comparison.
Figures 1-4 display ESs-the magnitude of the difference between experimental and the control groups over the course of the study-for each measure at each site and all sites combined. For the MDE, ESs were at or above 0.20 (Cohen's cutoff for the measurement of a small ES ) at four of the eight sites, which represents a meaningful effect of the intervention. However, the ESs were significant and moderate at only two sites (site 3, ES = 0.55, p = 0.045; site 7, ES = 0.49, p = 0.05) (Figure 1). The overall ES for all sites combined was 0.14 (p = 0.13), and without site 8, the overall ES increased to 0.22 (p = 0.02). For the PE Choice, three of the eight sites showed a positive ES of at least 0.20, with two of the sites having significant moderate effects (site 3, ES = 0.68, p = 0.02; site 7, ES = 0.74, p = 0.003). The overall ES was 0.17 (p = 0.06) (Figure 2), and without site 8, it was statistically significant (ES = 0.22, p = 0.02). Overall, sites 3 and 7 had the most robust and consistent findings for change in personal empowerment. On the PE Reduction in Chance, only one site showed a statistically significant difference (site 1, ES = 1.03, p = 0.004) and one other site had a moderate but not significant effect (site 7, ES = 0.38, p = 0.12). Conversely, this scale had the greatest number of sites with negative ESs, with three exceeding 0.20 in absolute value (Figure 3).
Finally, for the OME, four of the eight sites demonstrated a positive ES of at least 0.20; only one site had a statistically significant ES (site 6, ES = 0.54, p = 0.04). The overall ES was significant when all sites were examined (ES = 0.19, p = 0.03) (Figure 4) and without site 8 (ES = 0.20, p = 0.03). These variations in ES by site are consistent with the modest differences seen in the primary analyses and would have attenuated differences when experimental and control groups were examined in the aggregate.DISCUSSION
In this study, we sought to determine whether significant differences in empowerment existed between study participants who were exposed to an experimental intervention that consisted of involvement in or attendance at a COSP compared with individuals who were not exposed to such programs. All participants were receiving traditional mental health services when recruited into the study. The eight COSPs that participated in this multisite study can be described generally as drop-in programs, peer support and mentoring programs, and education and advocacy programs. Our outcome variable, empowerment, has various definitions; here we measured it using four different scales as described previously.
We followed several analytic approaches. The parent study was conducted under a stringent experimental design that included ITT analysis within a multisite randomized clinical trial; we used this approach within the current study. We also applied post hoc observational methods, including AT analysis, to estimate the effect of actual services use, examine differences in slopes, and examine the results by site.
The AT results offered the opportunity for further confirmation and elaboration of our findings and are particularly important in the context of a study with somewhat low engagement rates and crossover and in light of the fact that some of the traditional services in the control arm possessed some of the active ingredients (e.g., consumer choice) present in the COSPs but to a lesser degree. To counteract these difficulties, we compared outcomes for participants who actually used the services with outcomes for those who did not, regardless of randomization status. Our AT mixed models were conservative in that they had small samples and included only those participants whose characteristics were least associated with either seeking or avoiding COSPs, thus reducing the impact of selection bias.
Results of our analyses from the strict ITT approach yielded very marginal results, perhaps because of engagement of assigned participants in the COSPs. However, our AT and secondary analyses paint a more optimistic picture of the effects of COSPs that are worthy of consideration. Results of ITT analyses with both measures of personal empowerment (MDE and PE Choice) had initial overall results that were below thresholds for significance and very small ESs, but sensitivity analyses revealed that results from one site (site 8) obscured the more generally positive results from the remaining sites. With this site removed, both measures showed significant, small, and positive effects overall, albeit with significant cross-site variation remaining for the PE Choice. Likewise, the overall effect on the OME was positive, significant, and at the threshold of a very small effect, but with significant variation across sites and in the context of a general downward trend for both groups. The distribution of scores on this last measure raises questions about the fit of the underlying construct or its operationalization with the programs or population in this study, but clearly, relatively few participants in either condition experienced an increase in the number of organizational roles or activities as measured by this instrument.
Results of the AT mixed models confirmed the inferences that emerged from the ITT analyses. COSP use was positively associated with increases in personal empowerment as measured by both the MDE and the PE Choice, results that were maintained without significant variation across the eight sites. We found no effect for the PE Reduction in Chance, and the nonsignificant effect for OME appeared to be in the context of substantial variation among the sites. Other results suggest that gains from COSPs become apparent only with higher levels of use.
Our results support the conclusion that COSPs in general have a positive additive effect on empowerment when this construct is measured subjectively as represented by the MDE and the PE Choice. These effects are significant but small in magnitude. These results are consistent with studies cited earlier [14-15] as well as with the empowerment philosophy espoused by numerous writers (http://www.power2u.org/articles/recovery/people_can.html). Certain authors have argued for measuring empowerment with an organizational focus  and advanced the notion that COSPs promote opportunities for participation in valued organizational roles . However, we found little evidence that the programs in this study affected organizational empowerment. Thus, when empowerment was measured, either in terms of expectations for positive or negative effects on the environment or in terms of objective organizational roles, we found insufficient evidence for positive effect during the 12-month period assessed, although a longer observation period may have allowed such effects to be seen.
The variability in effects observed across sites in this study may have been attributable to the nature of the intervention at each site and can be considered a study limitation. Though the interventions can be generally described as falling into the three types mentioned earlier (drop-in, peer support and mentoring, and education and advocacy), we noted differences in local geography, in program resources, and in the way in which the interventions were carried out. We considered analyzing the data by the program category. However, when we examined the programs more carefully, both in terms of the service delivery models and the baseline values and demographics, we concluded that while programs in the same category may have delivered a generally similar category of service, the nature of the services and the contexts in which they delivered that service as well as the service recipients were too different to warrant such analyses. Future studies may wish to address this issue more carefully.
In addition to the limitations and cautions already noted, we do not know to what extent the results may apply beyond the programs included in this study. The current sample shows considerable variation and was selected in part to reflect a wide range of services. However, in the absence of information about the overall universe of COSPs, these results must necessarily be generalized with caution.
Finally, we should mention possible limitations due to measurement of our independent and dependent variables. First, the empowerment outcomes were gathered solely through self-report and, therefore, possess the limitations inherent in such assessments. Second, engagement and intensity data were reported by the individual sites or self-reported. Both of these approaches could lead to error. We do not know whether attendance at the COSPs was underreported or overreported, and correspondingly, we cannot predict the effect this might have on the outcomes we observed.CONCLUSIONS
Interventions that are developed for, delivered by, and managed by consumers appear to have modest salutary effects on certain aspects of empowerment, especially when empowerment is measured in global terms and in terms of one's sense of self-efficacy, control, sense of power, and optimism about the future and when we examine participants who use the COSPs at a meaningful level.
Individuals with greater engagement in and attendance at the COSPs fared better in their empowerment outcomes. Overall, it would appear that some COSPs improve empowerment, while others are less effective. Further research suggests that we examine and unbundle the program ingredients that may be effective in this regard as well as the specific contextual variables that may be responsible for these differences. The extent to which such an examination can occur within the context of a randomized trial must be considered, particularly given the large number of individuals randomized to the experimental condition in this study who did not engage in the voluntary COSPs.
In the meantime, results of these analyses suggest that program administrators and policy makers should examine the critical ingredients of COSPs  and focus their efforts and resources on developing those aspects of these programs, both in COSPs per se and potentially in other programs as well. Clearly, for both philosophical and efficacy reasons, COSPs can compliment traditional mental health programs. However, we must better understand the critical ingredients of these programs as well as the local resources, geography, and participant mix that assist these programs in imparting benefit to consumers.ACKNOWLEDGMENTS
This material was based on work supported by the U.S. DHHS (Program Support Center, Strategic Acquisition Service, Division of Acquisition Management purchase order HHSP233200500771P) and the Missouri Institute of Mental Health Coordinating Center from the U.S. DHHS, SAMHSA, Center for Mental Health Services (CMHS) (grant SM-52328). The SAMHSA/CMHS Cooperative Agreements to Evaluate Consumer-Operated Services were funded through seven research collaborators:1. Mount Sinai School of Medicine (CMHS grant SM-52372), Advocacy Unlimited, Connecticut Department of Mental Health and Addiction Services, and the University of Connecticut.2. PEER Center, Inc (CMHS grant SM-52332); Florida Mental Health Institute and Florida International University; Henderson Mental Health Center; Mental Health Client Action Network; and Santa Cruz County Substance Abuse and Mental Health Services.3. The University of Chicago Center for Psychiatric Rehabilitation (CMHS grant SM-52363), GROW of Illinois, Janet Wattles Mental Health Center, and Provena Behavioral Health.4. Boston University, Center for Psychiatric Rehabilitation (CMHS grant SM-52352); St. Louis Empowerment Center; Places for People, and BJC Behavioral Healthcare.5. The Edmund S. Muskie School of Public Service, University of Southern Maine (CMHS grant SM-52362); the Portland Coalition for the Psychiatrically Labeled; Catholic Charities Maine Support Recovery Services; and Shalom House, Inc.6. Friends Connection of the Mental Health Association in Southeastern Pennsylvania (CMHS grant SM-52355), Philadelphia Office of Mental Health, and the University of Pennsylvania Center for Mental Health Policy and Services Research.7. BRIDGES (Tennessee Mental Health Consumers' Association), Michigan State University Department of Psychology (CMHS grant number SM-52367), and Vanderbilt University Department of Psychiatry.
Coordinating Center: University of Missouri School of Medicine Institute of Mental Health (CMHS grant number SM-52328), Northrup Grumann Information Technologies, American University, and University of Massachusetts School of Medicine. Federal Representatives: CMHS, SAMHSA.
The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of DHHS, SAMHSA, CMHS, or the other collaborating partners.
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Last Reviewed or Updated Friday, December 7, 2007 9:35 AM