Algorithm-Driven Substance Use Disorder Treatment for Inner-City Clients With Serious Mental Illness and Multiple Impairments.

ABSTRACT: Mental health clients with serious mental illness in urban settings experience multiple chronic stresses related to poverty, unemployment, discrimination, homelessness, incarceration, hospitalization, posttraumatic stress disorder, pain syndromes, traumatic brain injury, and other problems. Substance use disorder exacerbates these difficulties. This study examined the efficacy of algorithm-driven substance use disorder treatments for 305 inner-city mental health clients with multiple challenges. Researchers assessed substance use quarterly using a combination of standardized self-reports and case manager ratings. Of the 305 multiply impaired clients who began treatment, 200 (66%) completed 2 years of treatment. One fourth (n = 53) of the completers were responders who developed abstinence and improved community function; one half (n = 97) were partial responders, who reduced substance use but did not become abstinent; and one fourth (n = 50) were nonresponders. Evidence-based interventions for substance use disorder can be effective for multiply impaired, inner-city clients, but numerous complications may hinder recovery.

Implementing illness management and recovery within assertive community treatment teams: A qualitative study.

OBJECTIVE: The study purpose was to assess the feasibility, advantages/disadvantages, and factors that hinder or facilitate the implementation of illness management and recovery (IMR) within assertive community treatment (ACT) teams. METHOD: A qualitative study was conducted with 11 ACT teams that implemented IMR. We conducted semistructured individual interviews with 17 persons enrolled in services and 55 ACT staff in individual and focus groups. Questions were designed to assess perceptions of IMR implementation, effects of IMR, staff training considerations, and recommendations. Data were analyzed using an inductive, consensus-building, thematic analysis, which included multiple research staff reviewing interview transcripts and field notes, developing and refining a codebook, constructing data summaries, and thematic synthesis. RESULTS: The analysis revealed six major themes: (a) a generally positive fit exists between the two models and population served, (b) both people with serious mental illness and staff benefited from ACT + IMR, (c) ACT teams encountered significant implementation barriers, (d) relationships and engagement with participants facilitated implementation, (e) taking a flexible approach to IMR and ACT improved implementation, and (f) programs should focus on greater integration of IMR within ACT teams. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: While there can be barriers to implementing IMR within ACT teams, there is generally a positive fit, it is feasible to implement, and it offers meaningful benefits. ACT teams should improve their recovery orientation by more widespread implementation of IMR. Future research on ACT + IMR should include mixed-methods approaches, implementation methodologies to identify barriers and facilitators, and idiographic measures that capture the individualized recovery goals of people with serious mental illness. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Exploring opportunities to support mental health care using social media: A survey of social media users with mental illness.

AIM: Social media holds promise for expanding the reach of mental health services, especially for young people who frequently use these popular platforms. We surveyed social media users who self-identified as having a mental illness to learn about their use of social media for mental health and to identify opportunities to augment existing mental health services. METHODS: We asked 240 Twitter users who self-identified in their profile as having a mental illness to participate in an online survey. The survey was in English and inquired about participants' mental health condition, use of social media for mental health and interest in accessing mental health programs delivered through social media. RESULTS: Respondents from 10 countries completed 135 surveys. Most respondents were from the United States (54%), Canada (22%) and the United Kingdom (17%) and reported a psychiatric diagnosis of either schizophrenia spectrum disorder (27%), bipolar disorder (25%), major depressive disorder (16%) or depression (20%). Young adults age ≤35 (46%) were more likely to use Instagram (P = .002), Snapchat (P < .001) and their mobile phone for accessing social media (P < .001) compared to adults age 36 and older (53%). Most participants (85%) expressed interest in mental health programs delivered through social media, especially to promote overall health and wellbeing (72%) and for coping with mental health symptoms (90%). CONCLUSIONS: This exploratory study demonstrates the feasibility of reaching social media users with mental illness and can inform efforts to leverage social media to make evidence-based mental health services more widely available to those in need.

The WorkingWell Mobile Phone App for Individuals With Serious Mental Illnesses: Proof-of-Concept, Mixed-Methods Feasibility Study.

BACKGROUND: The disparities in employment for individuals with serious mental illnesses have been well documented, as have the benefits of work. Mobile technology can provide accessible in-the-moment support for these individuals. The WorkingWell mobile app was developed to meet the need for accessible follow-along supports for individuals with serious mental illnesses in the workplace. OBJECTIVE: We explore the usability, usage, usefulness, and overall feasibility of the WorkingWell mobile app with individuals with serious mental illnesses who are actively employed and receiving community-based services. METHODS: In this proof-of-concept, mixed-methods, 2-month feasibility study (N=40), employed individuals with serious mental illnesses were recruited in mental health agencies. Participants completed surveys regarding background characteristics and cellphone use at enrollment and responded to interview items regarding app usability, usage, and usefulness in technical assistance calls at 1, 2, 4, and 6 weeks of participation and in the exit interview at 8 weeks. Data on the frequency of app usage were downloaded on a daily basis. A version of the System Usability Scale (SUS) was administered in the exit interview. Overall feasibility was determined by the percent of users completing the study, responses to an interview item regarding continued use, and findings on usability, usage, and usefulness. General impressions were obtained from users regarding user support materials, technical assistance, and study procedures. RESULTS: Most participants were male (60%, 24/40), aged 55 or younger (70%, 28/40), white (80%, 32/40), had less than a 4-year college education (78%, 31/40), were employed part-time (98%, 39/40), had been working more than 6 months (60%, 24/40), and indicated a diagnosis of bipolar, schizoaffective, or depressive disorder (84%, 16/25). The majority of participants owned cellphones (95%, 38/40) and used them multiple times per day (83%, 33/40). Their average rating on SUS usability items was 3.93 (SD 0.77, range 1.57-5.00), reflecting positive responses. In general, participants indicated WorkingWell was "very easy," "straightforward," "simple," and "user friendly." Usability challenges were related to personal issues (eg, memory) or to difficulties with the phone or app. Data on app usage varied considerably. The most frequent navigations were to the home screen, followed by Rate My Day and My Progress, and then by Manage the Moment and Remind Me. The app was described as useful by most participants; 86% (30/35) agreed the app would help them manage better on the job. Of the 40 original participants, 35 (87%) completed the study. CONCLUSIONS: The WorkingWell app is a feasible approach to providing accessible, as-needed employment support for individuals with serious mental illnesses. The app would benefit from modifications to address recommendations from feasibility testing. Controlled research with larger samples, more diverse in individual characteristics and workplace settings, is essential to demonstrating the effectiveness of the app.

Implementing Illness Management and Recovery Within Assertive Community Treatment: A Pilot Trial of Feasibility and Effectiveness.

OBJECTIVE: In a pilot feasibility and effectiveness study, illness management and recovery (IMR), a curriculum-based program to help people with serious mental illness pursue personal recovery goals, was integrated into assertive community treatment (ACT) to improve participants' recovery and functioning. METHODS: A small-scale cluster randomized controlled design was used to test implementation of IMR within ACT teams in two states. Eight high-fidelity ACT teams were assigned to provide IMR (ACT+IMR; four teams) or standard ACT services (ACT only; four teams). Clinical outcomes from 101 individuals with schizophrenia-spectrum or bipolar disorders were assessed at baseline, six months, and one year. RESULTS: Exposure to IMR (session attendance and module completion) varied between the ACT+IMR teams, with participants on one team having significantly less exposure. Results from intent-to-treat analyses showed that participants in ACT+IMR demonstrated significantly better outcomes with a medium effect size at follow-up on clinician-rated illness self-management. A nonsignificant, medium effect size was found for one measure of functioning, and small effect sizes were observed for client-rated illness self-management and community integration. Session and module completion predicted better outcomes on four of the 12-month outcome measures. CONCLUSIONS: Findings support the feasibility of implementing IMR within ACT teams. Although there were few significant findings, effect sizes on some variables in this small-scale study and the dose-response relationships within ACT+IMR teams suggest this novel approach could be promising for improving recovery for people with serious mental illness. Further large-scale studies utilizing a hybrid effectiveness-implementation design could provide a promising direction in this area.

Facebook for Supporting a Lifestyle Intervention for People with Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: an Exploratory Study.

To examine whether Facebook could support a community-based group lifestyle intervention for adults with serious mental illness. Participants with serious mental illness and obesity enrolled in a 6-month group lifestyle program were invited to join a secret Facebook group to support their weight loss and physical activity goals. Two peer co-facilitators moderated the Facebook group. The proportion of participants who achieved ≥5% weight loss or improved fitness was measured at follow-up. The relationship between this outcome and participants' interactions in the Facebook group was examined. Interactions were defined as active contributions including posts, comments, or likes. Content of participants' Facebook posts was also explored. Participants (n = 25) had major depression (44%), bipolar disorder (36%), and schizophrenia (20%). Nineteen (76%) participants joined the Facebook group, and contributed 208 interactions (70 posts; 81 comments; 57 likes). Participants who achieved ≥5% weight loss or improved fitness contributed more interactions in the Facebook group (mean = 19.1; SD = 20.5) compared to participants who did not (mean = 3.9; SD = 6.7), though this relationship approached statistical significance (t = -2.1; Welch's df = 13.1; p = 0.06). Participants' posts containing personal sharing of successes or challenges to adopting healthy behaviors generated more interaction compared to posts containing program reminders (p < 0.01), motivational messages (p < 0.01), and healthy eating content (p < 0.01). Facebook appears promising for supporting health behavior change among people with serious mental illness. These findings can inform social media initiatives to scale up health promotion efforts targeting this at-risk group.

Brief Web-Based Interventions for Young Adult Smokers With Severe Mental Illnesses: A Randomized, Controlled Pilot Study.

Significance: About 50% of young adults with schizophrenia, bipolar disorder, and other severe mental illnesses smoke tobacco, but few studies have evaluated interventions for this group. Methods: We conducted a randomized pilot study among 58 young adult smokers with severe mental illnesses comparing a brief interactive web-based motivational tool, Let's Talk About Smoking, to computerized standard education from the National Cancer Institute. An additional 23 subjects received minimal tobacco assessment at baseline and no intervention, providing a comparison condition for naturalistic cessation behavior. All participants (total n = 81) were assessed for smoking and breath carbon monoxide at baseline and 14 weeks and had access to standard cessation treatments. Results: The 81 participants were stable outpatients ages 18-30 (mean 24.8 years): 43.2% were diagnosed with schizophrenia-spectrum disorders, the remainder with severe mood and anxiety disorders. They smoked 14.6 ± 10.2 cigarettes per day. All participants completed their assigned intervention; 83.4% of Let's Talk About Smoking users and 71.4% of standard education users rated their intervention "good" or "very good." At 14 weeks, less than 15% of participants in all conditions had used additional cessation treatment. Let's Talk About Smoking users were more likely to have biologically verified abstinence at 14 weeks than standard education users (14.8% vs. 0%; X2 = 3.7, p = .05). None of the participants in the naturalistic comparison condition were abstinent at 14 weeks. Conclusions: Interactive, web-based motivational interventions are feasible and promising for smoking cessation among young smokers with severe mental illnesses. Such interventions warrant further study among this group of smokers. Implications: Young adult smokers with severe mental illnesses are a vulnerable population that, without intervention, goes on to experience disparate morbidity and mortality. Brief, easily disseminable interventions are needed to facilitate cessation in this group. This pilot research indicates that brief, technology-delivered, motivational interventions that are tailored for this group may be able to activate a significant number to quit without additional cessation intervention.

Lifestyle interventions for weight loss among overweight and obese adults with serious mental illness: A systematic review and meta-analysis.

OBJECTIVE: To conduct a systematic review and meta-analysis to estimate effects of lifestyle intervention participation on weight reduction among overweight and obese adults with serious mental illness. METHOD: We systematically searched electronic databases for randomized controlled trials comparing lifestyle interventions with other interventions or usual care controls in overweight and obese adults with serious mental illness, including schizophrenia spectrum or mood disorders. Included studies reported change in weight [kg] or body mass index (BMI) [kg/m2] from baseline to follow-up. Standardized mean differences (SMD) were calculated for change in weight from baseline between intervention and control groups. RESULTS: Seventeen studies met inclusion criteria (1968 participants; 50% male; 66% schizophrenia spectrum disorders). Studies were grouped by intervention duration (≤6-months or ≥12-months). Lifestyle interventions of ≤6-months duration showed greater weight reduction compared with controls as indicated by effect size for weight change from baseline (SMD=-0.20; 95% CI=-0.34, -0.05; 10 studies), but high statistical heterogeneity (I2=90%). Lifestyle interventions of ≥12-months duration also showed greater weight reduction compared with controls (SMD=-0.24; 95% CI=-0.36, -0.12; 6 studies) with low statistical heterogeneity (I2=0%). CONCLUSION: Lifestyle interventions appear effective for treating overweight and obesity among people with serious mental illness. Interventions of ≥12-months duration compared to ≤6-months duration appear to achieve more consistent outcomes, though effect sizes are similar for both shorter and longer duration interventions.

Improving Cardiometabolic Monitoring of Children on Antipsychotics.

OBJECTIVES: This study evaluated changes in cardiometabolic monitoring for children and adolescents who were prescribed an antipsychotic medication in a state mental health system before and after a quality improvement intervention. METHODS: The intervention included education for prescribers, auditing on metabolic monitoring, and feedback to mental health center leaders regarding their monitoring. Research staff extracted yearly data on cardiometabolic monitoring from randomly selected community mental health center records before and after the intervention. Pre- and postintervention changes in monitoring were assessed with chi-squared tests. RESULTS: Evidence of past year monitoring increased: for glucose 18.9%-42.1% (χ2 = 6.75, p < 0.001), for triglycerides 13.5%-31.0% (χ2 = 4.54, p = 0.033), for cholesterol 13.5%-33.1% (χ2 = 5.48, p = 0.019), and for weight 67.6%-84.1% (χ2 = 5.21, p = 0.022). Rates of monitoring for blood pressure and waist circumference increased but not significantly. In both years studied, weight was obtained most frequently and waist circumference was obtained least frequently. CONCLUSIONS: Monitoring rates significantly improved for four out of six parameters evaluated, but overall monitoring rates remained low at the end of the study period. Prescriber education with audit and feedback may improve cardiometabolic monitoring rates, but research is needed to evaluate barriers to monitoring in children.

Monitoring of Patients on Second-Generation Antipsychotics: A National Survey of Child Psychiatrists.

OBJECTIVE: The survey assessed self-reported monitoring by child psychiatrists of children prescribed second-generation antipsychotics, facilitators and barriers to monitoring, and steps taken to adhere to monitoring. METHODS: The authors anonymously surveyed 4,144 U.S. child psychiatrists. Descriptive statistics and multiple linear regressions were utilized to describe results and identify correlates of monitoring. RESULTS: Among responders (N=1,314, 32%), over 95% were aware of all guidelines, over 80% agreed with most guidelines, but less than 20% had adopted and adhered to most guidelines. Awareness of guidelines, working within an academic practice, and fewer years in practice predicted adherence. CONCLUSIONS: Child psychiatrists have generally not adopted the guidelines for monitoring children on second-generation antipsychotics. Interventions to improve monitoring should target child psychiatrists in nonacademic practices and those who have been out of training for longer periods. Future research should assess family barriers to monitoring.

Association Between Cardiovascular Risk and Depressive Symptoms Among People With Serious Mental Illness.

Depressive symptoms have debilitating effects on the physical health and functioning of people with serious mental illness. We examined change in depressive symptoms among overweight and obese adults with serious mental illness (n = 343) using data combined from two randomized trials comparing the 12-month In SHAPE program to a gym membership control condition. In SHAPE consists of a gym membership, weekly individual meetings with a fitness trainer, and instruction on healthy eating and nutrition. Depressive symptoms were measured at baseline, 3, 6, and 12 months. Change in depressive symptoms did not differ between groups, but depressive symptoms decreased over time across the entire sample (p = 0.045). At 12 months, reduced depressive symptoms were associated with clinically significant improved cardiorespiratory fitness (p = 0.030), 10% or more weight loss (p = 0.044), and cardiovascular risk reduction (p = 0.028) across both groups. Our findings suggest that participation in health promotion programs resulting in cardiovascular risk reduction may be associated with reduced depressive symptoms.

Health behavior models for informing digital technology interventions for individuals with mental illness.

OBJECTIVE: Theoretical models offer valuable insights for designing effective and sustainable behavioral health interventions, yet the application of theory for informing digital technology interventions for people with mental illness has received limited attention. We offer a perspective on the importance of applying behavior theories and models to developing digital technology interventions for addressing mental and physical health concerns among people with mental illness. METHOD: In this commentary, we summarize prominent theories of human behavior, highlight key theoretical constructs, and identify opportunities to inform digital health interventions for people with mental illness. We consider limitations with existing theories and models, and examine recent theoretical advances that can specifically guide development of digital technology interventions. RESULTS: Established behavioral frameworks including health belief model, theory of planned behavior, transtheoretical model, and social cognitive theory consist of important and overlapping constructs that can inform digital health interventions for people with mental illness. As digital technologies continue to evolve and enable longitudinal data collection, real-time behavior monitoring, and adaptive features tailored to users' changing needs over time, there are new opportunities to broaden our understanding of health behaviors and mechanisms of behavior change. Recent advances include dynamic models of behavior, persuasive system design, the behavioral intervention technology model, and behavioral models for just-in-time adaptive interventions. CONCLUSION AND IMPLICATIONS FOR PRACTICE: Behavior theories offer advantages for guiding use of digital technologies. Future researchers must explore how theoretical models can effectively advance efforts to develop, evaluate, and disseminate digital health interventions targeting individuals with mental illness. (PsycINFO Database Record

Analyzing Long-Duration and High-Frequency Data Using the Time-Varying Effect Model.

With the rapid development of methods for electronic data capture, longitudinal data sets with many assessment points have become common in mental health services and addiction research. These data typically exhibit complex and irregular patterns of change, and the relationship between variables may also change over time. Existing statistical methods are not flexible enough to capture this complexity, but a new method, the time-varying effect model (TVEM), permits modeling nearly any shape of change, and allows the effect of an independent variable on outcome to change over time. This paper introduces TVEM and illustrates its application using data from a 16-year study of 223 participants with serious mental illness and substance abuse.

Barriers and Facilitators to Sustainment of an Evidence-Based Supported Employment Program.

Large-scale initiatives to expand evidence-based practices are often poorly implemented and rarely endure. The purpose of this study was to identify the perceived barriers and facilitators to sustainment of an evidence-based supported employment program, Individual Placement and Support (IPS). Within a 2-year prospective study of sustainment among 129 IPS programs in 13 states participating in a national learning community, we interviewed IPS team leaders and coded their responses to semi-structured interviews using a conceptual framework adapted from another large-scale implementation study. Leaders in 122 agencies (95%) that sustained their IPS programs identified funding, prioritization, and workforce characteristics as both key facilitators and barriers. Additional key factors were lack of local community supports as a barrier and leadership and structured workflow as facilitators. Within the IPS learning community, team leaders attributed the sustainment of their program to funding, prioritization, workforce, agency leadership, and structured workflow. The actions of the learning community's leadership, state governments, and local programs together may have contributed to the high sustainment rate.

The Prevalence of Traumatic Brain Injury Among People With Co-Occurring Mental Health and Substance Use Disorders.

OBJECTIVE: To estimate the rate and severity of traumatic brain injury (TBI) among people with co-occurring mental health and substance use disorders and to compare demographic, diagnostic, and institutionalization differences between those who screen positive or negative. SETTING: Outpatient community mental health center in Washington, District of Columbia. PARTICIPANTS: A total of 295 people with co-occurring mental health and substance use disorders enrolled in a prospective study of integrated treatment of substance abuse. DESIGN: Cross-sectional baseline assessment. MAIN MEASURES: The Ohio State University TBI Identification Method. Standardized measures assessed psychiatric diagnoses, symptom severity, current and lifetime substance use, and history of institutionalization. RESULTS: Eighty percent screened positive for TBI, and 25% reported at least 1 moderate or severe TBI. TBI was associated with current alcohol use and psychiatric symptom severity and with lifetime institutionalization and homelessness. It was more common among participants with posttraumatic stress disorder, borderline personality disorder, and antisocial personality disorder. Men (vs women) and participants with psychotic disorders (vs those with mood disorders) had an earlier age of first TBI with loss of consciousness. CONCLUSION: TBI is common among people with co-occurring mental health and substance use disorders. Repeated and serious TBIs are common in this population. Failure to detect TBI in people with co-occurring disorders who are seeking integrated treatment could lead to misdiagnosis and inappropriately targeted treatment and rehabilitation.

Wearable devices and mobile technologies for supporting behavioral weight loss among people with serious mental illness.

Promoting physical activity is essential for addressing elevated cardiovascular risk and high obesity rates affecting people with serious mental illness. Numerous challenges interfere with exercise participation in this high-risk group including mental health symptoms, low motivation, and limited access to safe and affordable options for physical activity. Wearable devices and mobile health technologies may afford new opportunities for promoting physical activity and supporting behavioral weight loss efforts. This exploratory study examined whether daily step count measured using Fitbit wearable devices was associated with weight loss and improved fitness among individuals with serious mental illness enrolled in a 6-month lifestyle program. Participants (n=34) had a schizophrenia spectrum disorder (23.5%), major depression (50.0%), or bipolar disorder (26.5%), and wore Fitbits most of the days (M=86.2%; SD=18.4%) they were enrolled in the study. At 6-months, higher average daily step count was associated with greater weight loss (F=5.07; df=1,32; p=0.0314), but not improved fitness (F=1.92; df=1,31; p=0.176). These findings demonstrate that encouraging participants with serious mental illness enrolled in lifestyle interventions to collect more steps may contribute to greater weight loss. This suggests that wearable devices may offer a feasible and potentially effective strategy for supporting behavioral weight loss in community mental health settings.

Abstinence and Use of Community-Based Cessation Treatment After a Motivational Intervention Among smokers with Severe Mental Illness.

Motivational interventions help people with mental illness try to quit smoking, but few studies have evaluated factors associated with this groups' cessation with community treatment. We examined predictors of abstinence after a brief motivational intervention among smokers with severe mental illness. Education, stage of change post intervention, and use of cessation treatment predicted any 1-week period of self-reported abstinence over 6 months (29%). Cessation treatment mediated the relationship between stage of change and abstinence. Because treatment was the key modifiable predictor of abstinence, future research should establish strategies that improve motivation for, access to, and retention in cessation treatment. Clinical Trials Identifier NCT01412866.

Longitudinal Course of Clients With Co-occurring Schizophrenia-Spectrum and Substance Use Disorders in Urban Mental Health Centers: A 7-Year Prospective Study.

OBJECTIVE: A previous longitudinal study in rural New Hampshire showed that community mental health center clients with co-occurring schizophrenia-spectrum and substance use disorders (SZ/SUD) improved steadily and substantially over 10 years. The current study examined 7 years of prospective clinical and functional outcomes among inner-city Connecticut (CT) community mental health center clients with SZ/SUD. METHOD: Participants were 150 adults with SZ/SUD, selected for high service needs, in 2 inner-city mental health centers in CT. Initially, all received integrated mental health and substance abuse treatments for at least the first 3 years as part of a clinical trial. Assessments at baseline and yearly over 7 years measured progress toward 6 target clinical and functional outcomes: absence of psychiatric symptoms, remission of substance abuse, independent housing, competitive employment, social contact with non-users of substances, and life satisfaction. RESULTS: The CT SZ/SUD participants improved significantly on 5 of the 6 main outcomes: absence of psychiatric symptoms (45%-70%), remission of substance use disorders (8%-61%), independent housing (33%-47%), competitive employment (14%-28%), and life satisfaction (35%-53%). Only social contact with nonusers of substances was unimproved (14%-17%). CONCLUSIONS: Many urban community mental health center clients with SZ/SUD and access to integrated treatment improve significantly on clinical, vocational, residential, and life satisfaction outcomes over time, similar to clients with SZ/SUD in rural areas. Thus, the long-term course for people with SZ/SUD is variable but often quite positive.

Crowdsourcing for conducting randomized trials of internet delivered interventions in people with serious mental illness: A systematic review.

OBJECTIVE: Online crowdsourcing refers to the process of obtaining needed services, ideas, or content by soliciting contributions from a large group of people over the Internet. We examined the potential for using online crowdsourcing methods for conducting behavioral health intervention research among people with serious mental illness (SMI). METHODS: Systematic review of randomized trials using online crowdsourcing methods for recruitment, intervention delivery, and data collection in people with SMI, including schizophrenia spectrum disorders and mood disorders. Included studies were completed entirely over the Internet without any face-to-face contact between participants and researchers. DATABASES AND SOURCES: Medline, Cochrane Library, Web of Science, CINAHL, Scopus, PsychINFO, Google Scholar, and reference lists of relevant articles. RESULTS: We identified 7 randomized trials that enrolled N=1214 participants (range: 39 to 419) with SMI. Participants were mostly female (72%) and had mood disorders (94%). Attrition ranged from 14% to 81%. Three studies had attrition rates below 25%. Most interventions were adapted from existing evidence-based programs, and consisted of self-directed education, psychoeducation, self-help, and illness self-management. Six studies collected self-reported mental health symptoms, quality of life, and illness severity. Three studies supported intervention effectiveness and two studies showed improvements in the intervention and comparison conditions over time. Peer support emerged as an important component of several interventions. Overall, studies were of medium to high methodological quality. CONCLUSION: Online crowdsourcing methods appear feasible for conducting intervention research in people with SMI. Future efforts are needed to improve retention rates, collect objective outcome measures, and reach a broader demographic.