Service Use by Medicaid Recipients With Serious Mental Illness During an RCT of the Bridge Peer Health Navigator Intervention
Abstract
Objective:
Integration of general medical care and mental health care is a high priority for individuals with serious mental illnesses because of their high risk of morbidity and early mortality. The Bridge is a peer-led, health navigator intervention designed to improve access to and use of health care and self-management of medical services by individuals with serious mental illnesses. This study expands on a previous study in which the authors examined participants’ self-reported outcomes from a 12-month randomized controlled trial of the Bridge. In the study reported here, Medicaid data were used to assess the impact of the intervention on service use during that trial.
Methods:
Medicaid data on use of general medical services (emergency room, outpatient, and inpatient) for 6 months were compared for 144 individuals with serious mental illnesses—Bridge participants (N=72) and a waitlist control group (N=72). An intent-to-treat approach was used, with regression models controlling for general medical services in the 6 months before baseline.
Results:
Zero-inflated negative binomial analyses, controlling for service use 6 months before baseline, found that the intervention group used the emergency room significantly less frequently, compared with the control group (adjusted mean±SD number of visits, 0.72±0.19 versus 1.59±0.42). No between-group differences were found in use of general medical inpatient or outpatient services.
Conclusions:
The Bridge was effective in decreasing emergency room use among individuals with serious mental illnesses.
HIGHLIGHTS
•
The Bridge is a peer-led, health navigator intervention designed to improve access to and use of health care and self-management of medical services by individuals with serious mental illnesses.
•
In the 6 months after enrolling in the Bridge intervention, participants used the emergency room significantly less than their counterparts in a waitlist control group.
•
A peer-led intervention can help individuals with serious mental illnesses improve their use of health care services.
There is considerable evidence that individuals with serious mental illnesses suffer from high rates of morbidity and that they die 10 to 20 years earlier than their peers without a mental illness (1–4). In a meta-analysis by Walker and colleagues (2) of studies of mortality among people with serious mental illnesses, most deaths were determined to be due to acute and chronic illnesses (67%), rather than to other causes, such as accidents or suicide. High rates of cardiovascular, metabolic, and pulmonary diseases (1, 5) are endemic to this population, and addressing the health of individuals with serious mental illnesses is paramount. Their higher rates of health issues are often attributed to poor health habits (such as physical inactivity, low-quality diet, smoking, and treatment nonadherence) (6, 7) or to the side effects of their psychiatric medications (1, 8). However, inadequate health care provision and poor service coordination to prevent and treat these conditions also affect their health status (1, 9, 10).
Improving the health of and health care for this population requires addressing issues on system, provider, and individual levels. Numerous strategies and national initiatives are employed to improve the general medical care and physical well-being of this population (11–22), yet few evaluations have included Latinos (23) or have measured increased skill development of self-efficacy or self-management behaviors (11, 24).
The Bridge Intervention
The purpose of this study was to use Medicaid record data to examine general medical service use by individuals participating in the Bridge intervention (25–27) and compare it with service use by a waitlist control group. Previously, in a randomized controlled trial with 151 participants (the waitlisted group received the intervention after 6 months), we compared outcomes self-reported by participants in the Bridge and by those in a control group (26). Compared with the waitlisted group (N=75), Bridge participants (N=76) reported increased access to and use of primary care health services; decreased preference for emergency or urgent care services or avoidance of these types of services, compared with primary care services; and better relationships with their primary care providers. They also reported improved detection of chronic medical disorders, reductions in pain, and increased confidence to self-manage their health care, compared with the waitlisted group (26, 28).
The Bridge model is guided by Gelberg and colleagues’ (29) behavioral model of health service use for vulnerable populations, which was adapted for those with serious mental illness (16). In brief, the Bridge is a manualized comprehensive health care engagement and self-management intervention with three phases over 6 months; it is designed to teach individuals the skills to access and manage their services effectively (25–27, 30). With use of behavioral strategies of modeling (“for them”), coaching (“with them”), and fading (“by them”), the goal is to promote clients’ skill building so that they can achieve maximum independence in managing their health care over time. Clients’ individual skills and readiness determine the length of each phase. Through one-on-one sessions with the peer health navigator in real-world settings, participants learn skills to manage their health and health care to improve their access to and use of health care to prevent, identify, or manage health conditions. The model is comprehensive because it connects people to preventive, routine care (primary care and dental), specialty care, pharmacy services, and emergency services. It is an engagement model because many persons may deprioritize their health when they are faced with other pressing issues, such as housing or psychiatric issues, and they may need assistance to engage with health care. The Bridge is predicated on ensuring that individuals are activated about and have the self-management skills to manage their health and health care. The core activities of the Bridge consist of four components: engagement, assessment, and planning; coordinated linkages; patient education; and cognitive-behavioral strategies.
The Bridge is a peer-delivered model. Peer providers are individuals who have lived experience with mental illness. They can draw upon their experiences to empathize with their clients while promoting recovery and wellness. Peers are a rapidly growing segment of the mental health workforce in the United States and part of several evidence-based health care interventions for individuals with serious mental illness (23, 31, 32).
In the study reported here, the intervention’s assessment was extended with an examination of how participation in the Bridge influenced the use of Medicaid-covered health care services. We hypothesized that participation in the intervention would lead to more appropriate use of health care services, defined as reduced emergency room care and increased use of outpatient and inpatient general medical services. We use the term “appropriate,” because avoidance of outpatient or hospital care or failure to identify health conditions may be a main driver of the higher morbidity and mortality rates for this population.
Methods
Setting and Sample
The study was conducted from March 2014 to September 2015 at a large community mental health agency in Southern California that provides intensive, field-based services to individuals with serious mental illness, known as full-service partnership (FSP) services or field-capable clinical services (FCCS). Agency staff recruited participants from their existing caseloads by using a screening form that focused on unaddressed general medical health issues or service needs (see Brekke et al. [28] for details). Of the 151 persons who participated in the study, we received Medicaid data for 145 (73 in the immediate treatment group and 72 in the waitlist group). One participant’s data were dropped because more than 85% of data were missing, for a final sample of 144 individuals. Inclusion criteria were age 18 or older, admittance to one of the programs at the study site, local residence for at least 3 months, English fluency, capacity to give informed consent, and diagnosed as having schizophrenia, schizoaffective disorder, bipolar disorder, or major depression. Exclusion criteria included being under conservatorship, unable to give informed consent, or currently hospitalized.
Sources of Data
Medicaid records of service use were analyzed for 144 participants from 6 months prior to the baseline assessment to 6 months after baseline. Self-report data were collected at baseline, 6 months, and 12 months. Peer navigators maintained contact logs of all their phone calls and in-person meetings with participants, as well as navigation-related data. All procedures were approved by the institutional review boards of the University of Southern California and the University of California, Los Angeles, and the Committee for the Protection of Human Subjects of California. All participants signed consent and HIPAA agreements related to participation in the study and for access to their Medicaid records.
Measures
Service use.
Medicaid records of services were categorized into three domains: emergency room, general medical outpatient, and general medical inpatient. Counts of the dates of service visits for each type were created in two blocks (6 months prior to baseline and baseline to 6 months). Outpatient services included visits to primary and specialty care services for diagnosis, treatment, and follow-up care, unless specifically coded as inpatient care by the state.
Intervention contacts.
Navigators recorded their in-person contacts and phone calls when they spoke directly to participants and identified the skills on which they worked with participants. Skills were designed to encourage self-management of health care and included communication with medical staff, following up with medical staff, following treatment plans, making appointments, engaging a buddy, picking up medication, working on diet and exercise, management of anxiety and stress, arranging for lab work, and arranging transportation.
Treatment as usual.
Everyone in the study received treatment-as-usual mental health services, and there was no attempt to alter those services, which consisted of field-based, outpatient services adapted to participants’ needs. Treatment teams typically offered some minimal support for general medical care, such as arranging appointments, giving reminders, and providing help with transportation. However, these activities were usually of lower priority, compared with other pressing issues, such as mental health functioning, housing, legal issues, and enrollment in benefits.
Demographic information.
Participants self-reported their age, gender, race-ethnicity, and income. Primary mental health diagnoses and treatment programs were drawn from mental health records.
Mental health and functional outcomes.
Participants’ clinical psychiatric status was measured with the 24-item Behavior and Symptom Identification Scale (BASIS-24) (33). The items of the BASIS-24 were designed to assess a client’s perception of difficulty resulting from psychiatric symptoms and problems in functional areas (daily living skills, work, and social situations) over the past week. Scoring is normed and standardized (0 to 4 weighted sum). We present the subscale scores and total score for descriptive purposes.
Medical diagnoses.
Participants were presented with a checklist of 10 chronic health diagnoses, (e.g., diabetes, high blood pressure, and heart disease), and they checked off any applicable diagnosis (“ever” at baseline or “in the last 6 months” at subsequent assessments).
Statistical Analyses
All participants who completed the 6-month follow-up assessment (treatment group, N=61; waitlist control group, N=62) were included in the analysis as intent to treat (all cases included regardless of their receipt of the intervention). We examined the intervention effects by using comparisons of service use from baseline to 6-month follow-up between the group participating in the Bridge intervention and the waitlist control group.
All data were inspected for normality, overdispersion (the mean being greater than the standard deviation), and zero inflation. Because the service use variables are counts of service dates, we examined the data for whether Poisson, negative binomial, or zero-inflated regression models were the best fit to the data by using the COUNTFIT program in Stata, version 14. In instances where zero-inflated models were preferable, we also compared the model fit with logistic models. Zero-inflated models are split into two parts. The first part predicts the dependent variable for nonzero values. Second, the inflated model examines predictors of the zero values for true zeros or error. Regression models comparing the count of services over 6 months (from baseline) were used with each outcome, and the models tested study group and controlled for service use in the 6 months prior. For interpretation, the incident rate ratios (IRRs) are reported instead of the coefficients and predictive margins to estimate the effects of the intervention when the effects of study group were examined.
Results
Sample Baseline Characteristics
Baseline demographic and clinical characteristics of the full sample and of the intervention and waitlist groups are presented in Table 1. At baseline, no significant differences between groups were noted for any demographic or clinical factor or for the number of chronic health conditions (26).
| Total sample | Waitlist control | Intervention | |||||
|---|---|---|---|---|---|---|---|
| (N=144) | (N=72) | (N=72) | |||||
| Characteristic | N | % | N | % | N | % | pa |
| Gender | |||||||
| Female | 77 | 53 | 44 | 61 | 33 | 46 | |
| Male | 67 | 47 | 28 | 39 | 39 | 54 | .09 |
| Age (M±SD) | 46.42±10.93 | 47.5±10.64 | 45.35±11.18 | .24 | |||
| Race-ethnicity | |||||||
| White | 34 | 24 | 18 | 25 | 16 | 22 | |
| Black | 11 | 8 | 5 | 7 | 6 | 8 | |
| Hispanic | 89 | 62 | 44 | 61 | 45 | 63 | |
| Other | 10 | 7 | 5 | 7 | 5 | 7 | .98 |
| Program | |||||||
| FSP/FCCSb | 106 | 74 | 50 | 69 | 56 | 78 | |
| Other | 38 | 26 | 22 | 31 | 16 | 22 | .35 |
| Diagnosis | |||||||
| Schizophrenia | 27 | 19 | 10 | 14 | 17 | 24 | |
| Schizoaffective disorder | 28 | 20 | 14 | 19 | 14 | 19 | |
| Bipolar disorder | 28 | 20 | 14 | 19 | 14 | 19 | |
| Depression | 55 | 38 | 33 | 46 | 22 | 31 | |
| Other | 6 | 4 | 2 | 3 | 4 | 6 | .28 |
| BASIS-24 score (M±SD)c | |||||||
| Depression | 2.04±1.12 | 2.11±1.14 | 1.98±1.11 | .50 | |||
| Relationships | 1.76±1.02 | 1.75±1.02 | 1.76±1.02 | .97 | |||
| Self-harm | .25±.68 | .28±.68 | .22±.69 | .63 | |||
| Emotional lability | 1.79±1.26 | 1.67±1.25 | 1.91±1.26 | .26 | |||
| Psychosis | 1.16±1.26 | 1.06±1.25 | 1.26±1.27 | .33 | |||
| Substance use | .44±.84 | .39±.75 | .49±.91 | .46 | |||
| Total | 1.62±.82 | 1.64±.83 | 1.59±.82 | .73 | |||
| Service use in 6 months prior to baseline (M±SD visits) | |||||||
| Emergency room | .59±1.16 | .69±1.31 | .49±.99 | ||||
| General medical inpatient | .03±.22 | .04±.26 | .03±.17 | ||||
| General medical outpatient | 3.19±4.53 | 2.93±3.98 | 3.44±5.04 | ||||
a
Between-group comparisons were completed with Fisher’s exact test for categorical variables and independent t tests for comparisons between continuous variables.
b
FSP, full-service partnership services; FCCS, field-capable clinical services.
c
Possible scores on the 24-item Behavior and Symptom Identification Scale range from 0 to 4, with higher scores indicating greater difficulty in the indicated domain.
Intervention Character and Fidelity
The Bridge intervention is an individualized program, and thus the number of contacts and skills worked on vary according to each client’s need and engagement. The mean±SD number of in-person contacts during the 6-month intervention period for the intervention group was 4.88±4.76, 20% of which included the navigator’s accompanying a participant to the doctor; the mean number of phone calls during the period was 6.18±6.68 (range 0–50). The mean number of skills worked on was 7.88±14.94. The large standard deviations for these variables reflect the individualization of the intervention.
All navigators completed a 2-day initial training on the intervention and completed a peer provider certification course. A supervision team of the principal investigator (J.S.B.), a supervisor who is also a mental health peer, and a nurse provided coaching in the initial sessions with clients and weekly supervision and evaluated navigators for their skills development and fidelity to the intervention. Intervention fidelity was measured with a 20-item instrument developed in our pilot work that uses interviews, role playing, observations, and case records. All navigators were evaluated after 4 months and rated at the “good” level of the scale or higher.
Between-Group Comparisons of Service Use
Service use outcomes were medical care visits to emergency rooms, general outpatient settings, and general inpatient settings (Table 2). During the 6 months prior to the study period, 33% (N=24) of the waitlist group and 35% (N=25) of the intervention group used the emergency room. In the 6 months after baseline, 35% (N=50) of the total sample used the emergency room (31% [N=22] of the intervention group and 39% [N=28] of the waitlist group). Emergency room use was tested by using zero-inflated negative binomial regression. Across all participants, including those with and without emergency room use, the mean number of emergency room visits by the intervention group was less than half the mean number of visits by the waitlist group (adjusted means, 0.72±0.19 versus 1.59±0.42; contrast comparison χ2=7.99, df=1 and 143, p=0.005).
| Service type | Valueb | SE | p | 95% CI |
|---|---|---|---|---|
| Emergency room | ||||
| Actual | ||||
| In 6 months prebaseline | 1.39 | .17 | .009 | 1.09 to 1.77 |
| Intervention groupc | .40 | .14 | .009 | .20 to .79 |
| Inflated | ||||
| In 6 months prebaseline | –13.40 | 7.27 | .065 | –27.64 to .84 |
| Intervention groupc | –.83 | .93 | .376 | –2.66 to 1.00 |
| General medical outpatient | ||||
| In 6 months prebaseline | 1.13 | .04 | <.001 | 1.07 to 1.21 |
| Intervention groupc | 1.05 | .24 | .850 | .66 to 1.65 |
| General medical inpatient | ||||
| In 6 months prebaseline | 2.17 | 2.07 | .418 | .34 to 14.06 |
| Intervention groupc | 1.48 | .91 | .523 | .45 to 4.95 |
a
Reference group for all comparisons: waitlist control group. Emergency room use was tested by using zero-inflated negative binomial regression with robust standard errors. General medical outpatient visits were tested by using negative binomial regression. For inpatient visits, logistic regression was used.
b
Incident rate ratios are presented for the model of actual emergency room use and for the model of general medical outpatient visits. To interpret IRRs, if use of emergency services in the 6 months prior to the intervention period had an IRR of 1.39 with emergency services during the intervention period, then each 1-visit increase in prior visits would be associated with a 39% increase in outpatient services during the intervention. An IRR of .40 means persons in the waitlist group used the emergency room 2.5 times more often than those in the intervention group. The inflated model for emergency room visits presents coefficients. For inpatient visits, odds ratios are presented.
c
1=intervention.
For inpatient visits in the 6 months since baseline, 7% (N=5) of the intervention group had an inpatient visit, compared with 13% (N=9) of the waitlist group. For outpatient services, the adjusted mean number of outpatient visits in the intervention group was 3.36±5.13, compared with 3.06±4.54 visits in the waitlist group. Inpatient visits and outpatient visits were not significantly different between groups, as assessed by logistic regression and negative binomial regression, respectively.
Discussion
The Bridge intervention is designed to activate individuals about their overall health and improve their use of general medical care in the hopes of lowering morbidity and mortality. According to the Medicaid records of study participants, the Bridge peer health navigator intervention significantly decreased emergency room visits by over 50%, compared with the waitlist control group. This shift in emergency room use was also reflected in the self-reported outcomes in the previous study, in which Bridge participants reported a decreased preference for emergency services, in favor of primary care settings (26). Given the need to address the high costs of emergency room use by this population, this is an important domain of service use for remediation.
Even though Bridge participants had less emergency room use than the waitlist group had, no between-group differences were found for inpatient service use. Given the low rates of inpatient care in our sample, future studies should explore this relationship with a larger sample. We also anticipated that Bridge participants would significantly increase their use of outpatient medical services. Although this outcome was affirmed by participant self-reports (26), the analysis of Medicaid records did not find a significant increase in use of outpatient medical services (although the two studies differed in the types of care included; the self-reported visits included eye and dental visits and excluded specialty care). In the paper that examined self-reported outcomes, the detection of chronic health conditions increased in the intervention group (26), and such detection was associated with use of general medical outpatient services (Spearman r=0.31, p=0.02), which could suggest that other factors, such as monitoring of new conditions, may have influenced rates of outpatient visits. Exploration of additional factors that may have influenced rates of service use should be explored in a larger randomized controlled trial. Our self-reported findings of increased detection of chronic conditions (26) in the intervention group but not in the waitlist group might reflect the need for health care services that might otherwise have been missed without the presence of the navigator. Cumulatively, these findings in conjunction with previous self-reports (26, 28) suggest that the Bridge intervention is a valuable model for improving health care utilization by individuals with serious mental illnesses. Future studies with larger samples are required to understand the mechanisms of change in the Bridge, but this is the first study to use data from Medicaid records to assess outcomes of a peer-led intervention (11, 24).
This study had some limitations. The analyses were limited to individuals who were enrolled in Medicaid and to a 12-month period. Participants could have received dental and vision services not covered by Medicaid (which were excluded from the analyses). However, all participants self-reported that all of their primary care, specialty care, hospitalization, and emergency care services that they used were covered by Medicaid, and their self-reports were corroborated by case managers.
Conclusions
Addressing health disparities among individuals with serious mental illnesses is a high priority, as is improving the quality of life of this population and reducing early mortality. Mental health peers delivered an intervention that had a positive impact on health service use and consumer-oriented outcomes.
References
1.
DE Hert M, Correll CU, Bobes J, et al: Physical illness in patients with severe mental disorders: I. prevalence, impact of medications and disparities in health care. World Psychiatry 2011; 10:52–77
2.
Walker ER, McGee RE, Druss BG: Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis. JAMA Psychiatry 2015; 72:334–341
3.
Chang C-K, Hayes RD, Broadbent M, et al: All-cause mortality among people with serious mental illness (SMI), substance use disorders, and depressive disorders in southeast London: a cohort study. BMC Psychiatry 2010; 10:77
4.
Scott KM, Lim C, Al-Hamzawi A, et al: Association of mental disorders with subsequent chronic physical conditions: World Mental Health Surveys from 17 countries. JAMA Psychiatry 2016; 73:150–158
5.
Filik R, Sipos A, Kehoe PG, et al: The cardiovascular and respiratory health of people with schizophrenia. Acta Psychiatr Scand 2006; 113:298–305
6.
Richardson CR, Faulkner G, McDevitt J, et al: Integrating physical activity into mental health services for persons with serious mental illness. Psychiatr Serv 2005; 56:324–331
7.
Stanley S, Laugharne J: The impact of lifestyle factors on the physical health of people with a mental illness: a brief review. Int J Behav Med 2014; 21:275–281
8.
Fagiolini A, Goracci A: The effects of undertreated chronic medical illnesses in patients with severe mental disorders. J Clin Psychiatry 2009; 70(suppl 3):22–29
9.
Lawrence D, Kisely S: Inequalities in healthcare provision for people with severe mental illness. J Psychopharmacol 2010; 24(suppl):61–68
10.
Manderscheid R, Kathol R: Fostering sustainable, integrated medical and behavioral health services in medical settings. Ann Intern Med 2014; 160:61–65
11.
Kelly E, Brekke J (eds): Healthy Living Skills. Washington, DC, American Psychiatric Association Publishing, 2021
12.
Muralidharan A, Brown CHE, E Peer J, et al: Living Well: an intervention to improve medical illness self-management among individuals with serious mental illness. Psychiatr Serv 2019; 70:19–25
13.
Druss BG, Singh M, von Esenwein SA, et al: Peer-led self-management of general medical conditions for patients with serious mental illnesses: a randomized trial. Psychiatr Serv 2018; 69:529–535
14.
Bartels SJ, Pratt SI, Mueser KT, et al: Long-term outcomes of a randomized trial of integrated skills training and preventive healthcare for older adults with serious mental illness. Am J Geriatr Psychiatry 2014; 22:1251–1261
15.
Bartels SJ, Pratt SI, Mueser KT, et al: Integrated IMR for psychiatric and general medical illness for adults aged 50 or older with serious mental illness. Psychiatr Serv 2014; 65:330–337
16.
Naslund JA, Whiteman KL, McHugo GJ, et al: Lifestyle interventions for weight loss among overweight and obese adults with serious mental illness: a systematic review and meta-analysis. Gen Hosp Psychiatry 2017; 47:83–102
17.
Cabassa LJ, Ezell JM, Lewis-Fernández R: Lifestyle interventions for adults with serious mental illness: a systematic literature review. Psychiatr Serv 2010; 61:774–782
18.
Kilbourne AM, Barbaresso MM, Lai Z, et al: Improving physical health in patients with chronic mental disorders: 12-month results from a randomized controlled collaborative care trial. J Clin Psychiatry 2017; 78:129–137
19.
Kilbourne AM, Goodrich DE, Lai Z, et al: Randomized controlled trial to assess reduction of cardiovascular disease risk in patients with bipolar disorder: the Self-Management Addressing Heart Risk Trial (SMAHRT). J Clin Psychiatry 2013; 74:e655–e662
20.
Lorig K, Ritter PL, Pifer C, et al: Effectiveness of the Chronic Disease Self-Management Program for persons with a serious mental illness: a translation study. Community Ment Health J 2014; 50:96–103
21.
Sajatovic M, Gunzler DD, Kanuch SW, et al: A 60-week prospective RCT of a self-management intervention for individuals with serious mental illness and diabetes mellitus. Psychiatr Serv 2017; 68:883–890
22.
Bartels SJ, Pratt SI, Aschbrenner KA, et al: Pragmatic replication trial of health promotion coaching for obesity in serious mental illness and maintenance of outcomes. Am J Psychiatry 2015; 172:344–352
23.
Cabassa LJ, Camacho D, Vélez-Grau CM, et al: Peer-based health interventions for people with serious mental illness: a systematic literature review. J Psychiatr Res 2017; 84:80–89
24.
Kelly EL, Fenwick KM, Barr N, et al: A systematic review of self-management health care models for individuals with serious mental illnesses. Psychiatr Serv 2014; 65:1300–1310
25.
Kelly E, Fulginiti A, Pahwa R, et al: A pilot test of a peer navigator intervention for improving the health of individuals with serious mental illness. Community Ment Health J 2014; 50:435–446
26.
Kelly E, Duan L, Cohen H, et al: Integrating behavioral healthcare for individuals with serious mental illness: a randomized controlled trial of a peer health navigator intervention. Schizophr Res 2017; 182:135–141
27.
Brekke JS, Siantz E, Pahwa R, et al: Reducing health disparities for people with serious mental illness. Best Practices Ment Health 2013; 9:62–82
28.
Brekke J, Kelly EL, Duan L, et al: Can People Who Have Experience With Serious Mental Illness Help Peers Manage Their Health Care? Washington, DC, Patient-Centered Outcomes Research Institute, 2019
29.
Gelberg L, Andersen RM, Leake BD: The Behavioral Model for Vulnerable Populations: application to medical care use and outcomes for homeless people. Health Serv Res 2000; 34:1273–1302
30.
Kelly EL, Braslow JT, Brekke JS: Using electronic health records to enhance a peer health navigator intervention: a randomized pilot test for individuals with serious mental illness and housing instability. Community Ment Health J 2018; 54:1172–1179
31.
Gagne CA, Finch WL, Myrick KJ, et al: Peer workers in the behavioral and integrated health workforce: opportunities and future directions. Am J Prev Med 2018; 54(suppl 3):S258–S266
32.
Chinman M, Oberman RS, Hanusa BH, et al: A cluster randomized trial of adding peer specialists to intensive case management teams in the Veterans Health Administration. J Behav Health Serv Res 2015; 42:109–121
33.
Eisen SV, Normand S-L, Belanger AJ, et al: The Revised Behavior and Symptom Identification Scale (BASIS-R): reliability and validity. Med Care 2004; 42:1230–1241
Information & Authors
Information
Published In
History
Received: 17 December 2019
Revision received: 8 December 2020
Accepted: 18 December 2020
Published online: 23 April 2021
Published in print: October 01, 2021
Keywords
Authors
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.
View Options
View options
PDF/EPUB
View PDF/EPUBLogin 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 loginNot a subscriber?
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.).