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Research ArticleOriginal Research

The Impact of Community Engagement on Health, Social, and Utilization Outcomes in Depressed, Impoverished Populations: Secondary Findings from a Randomized Trial

Christine A. Lam, Cathy Sherbourne, Lingqi Tang, Thomas R. Belin, Pluscedia Williams, Angela Young-Brinn, Jeanne Miranda and Kenneth B. Wells
The Journal of the American Board of Family Medicine May 2016, 29 (3) 325-338; DOI: https://doi.org/10.3122/jabfm.2016.03.150306
Christine A. Lam
From the Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA (CAL); the Departments of Medicine (CAL) and Psychiatry and Biobehavioral Sciences (TRB, KBW), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles (CAL); RAND Corp., Santa Monica, CA (CS, KBW); the Center for Health Services and Society, University of California, Los Angeles, Los Angeles (LT, JM, KBW); the Departments of Biostatistics (TRB) and Health Policy and Management (KBW), Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles; Healthy African American Families II, Los Angeles, CA (PW); the Department of Research, Charles R. Drew University of Medicine and Science, Los Angeles, CA (PW); and the J.D. Pacada Foundation, Los Angeles, CA (AY-B)
MD, MBA
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Cathy Sherbourne
From the Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA (CAL); the Departments of Medicine (CAL) and Psychiatry and Biobehavioral Sciences (TRB, KBW), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles (CAL); RAND Corp., Santa Monica, CA (CS, KBW); the Center for Health Services and Society, University of California, Los Angeles, Los Angeles (LT, JM, KBW); the Departments of Biostatistics (TRB) and Health Policy and Management (KBW), Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles; Healthy African American Families II, Los Angeles, CA (PW); the Department of Research, Charles R. Drew University of Medicine and Science, Los Angeles, CA (PW); and the J.D. Pacada Foundation, Los Angeles, CA (AY-B)
PhD
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Lingqi Tang
From the Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA (CAL); the Departments of Medicine (CAL) and Psychiatry and Biobehavioral Sciences (TRB, KBW), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles (CAL); RAND Corp., Santa Monica, CA (CS, KBW); the Center for Health Services and Society, University of California, Los Angeles, Los Angeles (LT, JM, KBW); the Departments of Biostatistics (TRB) and Health Policy and Management (KBW), Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles; Healthy African American Families II, Los Angeles, CA (PW); the Department of Research, Charles R. Drew University of Medicine and Science, Los Angeles, CA (PW); and the J.D. Pacada Foundation, Los Angeles, CA (AY-B)
PhD
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Thomas R. Belin
From the Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA (CAL); the Departments of Medicine (CAL) and Psychiatry and Biobehavioral Sciences (TRB, KBW), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles (CAL); RAND Corp., Santa Monica, CA (CS, KBW); the Center for Health Services and Society, University of California, Los Angeles, Los Angeles (LT, JM, KBW); the Departments of Biostatistics (TRB) and Health Policy and Management (KBW), Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles; Healthy African American Families II, Los Angeles, CA (PW); the Department of Research, Charles R. Drew University of Medicine and Science, Los Angeles, CA (PW); and the J.D. Pacada Foundation, Los Angeles, CA (AY-B)
PhD
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Pluscedia Williams
From the Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA (CAL); the Departments of Medicine (CAL) and Psychiatry and Biobehavioral Sciences (TRB, KBW), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles (CAL); RAND Corp., Santa Monica, CA (CS, KBW); the Center for Health Services and Society, University of California, Los Angeles, Los Angeles (LT, JM, KBW); the Departments of Biostatistics (TRB) and Health Policy and Management (KBW), Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles; Healthy African American Families II, Los Angeles, CA (PW); the Department of Research, Charles R. Drew University of Medicine and Science, Los Angeles, CA (PW); and the J.D. Pacada Foundation, Los Angeles, CA (AY-B)
BA
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Angela Young-Brinn
From the Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA (CAL); the Departments of Medicine (CAL) and Psychiatry and Biobehavioral Sciences (TRB, KBW), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles (CAL); RAND Corp., Santa Monica, CA (CS, KBW); the Center for Health Services and Society, University of California, Los Angeles, Los Angeles (LT, JM, KBW); the Departments of Biostatistics (TRB) and Health Policy and Management (KBW), Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles; Healthy African American Families II, Los Angeles, CA (PW); the Department of Research, Charles R. Drew University of Medicine and Science, Los Angeles, CA (PW); and the J.D. Pacada Foundation, Los Angeles, CA (AY-B)
MBA
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Jeanne Miranda
From the Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA (CAL); the Departments of Medicine (CAL) and Psychiatry and Biobehavioral Sciences (TRB, KBW), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles (CAL); RAND Corp., Santa Monica, CA (CS, KBW); the Center for Health Services and Society, University of California, Los Angeles, Los Angeles (LT, JM, KBW); the Departments of Biostatistics (TRB) and Health Policy and Management (KBW), Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles; Healthy African American Families II, Los Angeles, CA (PW); the Department of Research, Charles R. Drew University of Medicine and Science, Los Angeles, CA (PW); and the J.D. Pacada Foundation, Los Angeles, CA (AY-B)
PhD
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Kenneth B. Wells
From the Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA (CAL); the Departments of Medicine (CAL) and Psychiatry and Biobehavioral Sciences (TRB, KBW), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles (CAL); RAND Corp., Santa Monica, CA (CS, KBW); the Center for Health Services and Society, University of California, Los Angeles, Los Angeles (LT, JM, KBW); the Departments of Biostatistics (TRB) and Health Policy and Management (KBW), Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles; Healthy African American Families II, Los Angeles, CA (PW); the Department of Research, Charles R. Drew University of Medicine and Science, Los Angeles, CA (PW); and the J.D. Pacada Foundation, Los Angeles, CA (AY-B)
MD, MPH
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  • Article
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Article Figures & Data

Tables

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    Table 1.

    Baseline Characteristics of Depressed Clients by Family Income Status

    Overall (N = 1018)Clients with Income Not Below the FPL (n = 268)Clients with Income Below the FPL (n = 750)P Value
    Age (years)45.8 ± 12.946.6 ± 13.745.4 ± 12.5.36
    Female sex595 (57.0)150 (54.7)445 (57.9).48
    Race/ethnicity.93
        Hispanic409 (41.0)107 (40.8)302 (41.1)
        African American488 (46.0)127 (45.2)361 (46.2)
        Non-Hispanic white86 (9.2)25 (10.3)61 (8.9)
        Other35 (3.8)8 (3.6)27 (3.9)
    Married or living with a partner231 (22.6)82 (30.3)149 (19.8)<.01
    Less than high school education446 (43.6)94 (35.2)352 (46.6)<.01
    Working for pay205 (20.0)91 (33.5)114 (15.1)<.01
    12-Month depressive disorder629 (61.9)159 (59.1)470 (62.9).33
    PHQ-8 score15.0 ± 4.114.7 ± 4.215.1 ± 4.1.31
    Poor mental health–related quality of life546 (53.2)146 (55.2)400 (52.5).49
    Mental wellness407 (39.7)107 (39.3)300 (39.8).87
    Good physical health759 (74.3)210 (77.7)548 (73.0).12
    ≥3 Chronic health conditions548 (54.7)151 (57.9)397 (53.6).31
    No health insurance545 (54.1)121 (45.2)424 (57.3)<.01
    Life difficulties total score of 14.1 ± 2.84.2 ± 2.84.0 ± 2.7.56
    Hazardous drinker or alcohol use disorder248 (24.5)66 (24.2)182 (24.6).91
    Misused any drugs in past 6 months357 (35.3)86 (32.6)271 (36.2).41
    Involved in the justice system201 (19.6)43 (16.2)158 (20.9).10
    Homeless or ≥2 risk for homelessness538 (54.1)136 (50.7)403 (55.3).25
    • Data are mean ± SD or n (%) unless otherwise indicated.

    • FPL, federal poverty level; PHQ-8, 8-item Patient Health Questionnaire; SD, standard deviation.

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    Table 2.

    Baseline Characteristics of Depressed Clients Whose Family Income Is Below the Federal Poverty Level (n = 750), by Vulnerable Subgroups

    Subgroup 1: Involved in Justice System (1) (n = 158)Subgroup 2: Homeless Involved in Justice System (n = 298)Subgroup 3: Other Poor (n = 294)P Value (Pairwise Comparison)Group Test
    1 vs 21 vs 32 vs 3χ2dfP Value
    Age (years)43.0 ± 10.645.5 ± 11.746.7 ± 14.1.074.014.3556.42.041
    Female sex65 (39.6)174 (56.8)206 (69.1)<.001<.001.00923.02<.001
    Race/ethnicity.301<.001.04817.66.007
        Hispanic44 (28.3)111 (38.0)147 (51.4)
        African American88 (53.4)148 (47.9)125 (40.5)
        Non-Hispanic white17 (12.0)29 (10.4)15 (5.4)
        Other9 (6.3)10 (3.7)8 (2.7)
    Married or living with a partner25 (16.0)51 (16.7)74 (25.4).845.039.0108.32.016
    Less than high school education65 (40.8)129 (42.2)157 (54.5).795.007.00313.02.002
    Working for pay12 (7.4)60 (19.6)42 (14.6).001.035.16410.92.004
    12-Month depressive disorder106 (67.5)201 (68.0)163 (54.9).911.008.0049.92.007
    PHQ-8 score15.2 ± 4.315.4 ± 4.014.6 ± 3.9.715.195.0563.92.144
    Poor mental health–related quality of life77 (48.8)167 (54.6)156 (52.3).311.507.6101.02.599
    Mental wellness68 (43.5)108 (35.7)124 (42.3).164.816.1812.32.311
    Good physical health118 (74.5)218 (73.3)212 (71.9).854.682.7420.22.898
    ≥3 Chronic health conditions82 (53.1)166 (56.0)149 (51.3).609.769.3410.92.630
    No health insurance116 (73.5)186 (63.1)123 (42.1).091<.001<.00124.72<.001
    Life difficulties total score of 155.9 ± 3.15.0 ± 2.22.0 ± 1.6.006<.001<.001582.32<.001
    Hazardous drinker or alcohol use disorder49 (31.9)82 (27.7)51 (17.2).392.003.00411.12.004
    Misused any drugs in past 6 months97 (61.5)111 (37.3)63 (21.2)<.001<.001<.00142.12<.001
    • Data are mean ± SD or n (%) unless otherwise indicated.

    • PHQ-8, 8-item Patient Health Questionnaire.

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    Table 3.

    Health and Social Outcomes by Poverty Status and Intervention Assignment (Model 1)

    Income Not Below the Federal Poverty Line (n = 268)Income Below the Federal Poverty Line (n = 750)
    RSCEPCEP vs. RS, Test (95% CI)ESRSCEPCEP vs. RS, OR (95% CI)ES
    Poor MHQOL (%)OROR
        6-Month follow-up51.4 (4.4)37.0 (4.7)0.5 (0.3–1.1)0.2951.6 (3.0)46.5 (2.5)0.8 (0.6–1.1)0.10
        12-Month follow-up45.3 (4.9)42.4 (5.8)0.9 (0.5–1.6)0.0652.2 (3.0)45.7 (3.2)0.8 (0.6–1.1)0.13
    PHQ-8 standard score (mean)DifferenceDifference
        6-Month follow-up12.1 (0.8)11.8 (0.7)−0.2 (−2.6-2.2)0.0413.1 (0.5)12.7 (0.5)−0.4 (−2.3-1.4)0.06
        12-Month follow-up10.9 (0.9)10.9 (0.8)0.0 (−2.2-2.3)0.0012.4 (0.4)12.1 (0.4)−0.3 (−1.5-0.9)0.04
    Mental wellness (%)OROR
        6-Month follow-up40.1 (4.9)49.0 (6.5)1.5 (0.6–3.4)0.1831.6 (3.0)44.6 (2.6)1.8 (1.2–2.7)*0.27
        12-Month follow-up54.7 (5.7)51.0 (4.3)0.9 (0.5–1.6)0.0744.8 (3.6)48.2 (3.4)1.2 (0.7–1.8)0.07
    Good physical health (%)
        6-Month follow-up78.1 (4.3)80.2 (3.9)1.2 (0.5–2.5)0.0573.5 (2.8)76.4 (2.2)1.2 (0.8–1.7)0.07
        12-Month follow-up78.0 (4.2)77.4 (3.8)1.0 (0.5–1.9)0.0169.6 (3.5)78.4 (2.8)1.6 (1.1–2.4)†0.20
    Homeless/risk (%)
        6-Month follow-up38.1 (6.6)27.9 (4.8)0.6 (0.3–1.2)0.2240.3 (3.4)30.3 (3.1)0.6 (0.4–1.0)0.21
        12-Month follow-up25.7 (4.1)31.0 (5.3)1.3 (0.7–2.5)0.1233.8 (3.6)35.7 (3.5)1.1 (0.8–1.6)0.04
    Worried about cost (%)
        6-Month follow-up29.5 (4.5)32.2 (5.8)1.1 (0.5–2.7)0.0633.0 (2.7)29.6 (2.6)0.9 (0.6–1.2)0.07
        12-Month follow-up28.7 (4.8)30.1 (4.6)1.1 (0.6–2.0)0.0332.6 (2.6)24.0 (3.2)0.6 (0.4–1.0)†0.19
    Life difficulties total score out of 15 (mean)DifferenceDifference
        6-Month follow-up3.0 (0.3)2.7 (0.3)−0.3 (−1.0 to 0.5)0.123.0 (0.2)2.7 (0.1)−0.3 (−0.7 to 0.2)0.12
        12-Month follow-up2.6 (0.2)2.4 (0.2)−0.2 (−0.9 to 0.4)0.092.8 (0.2)2.6 (0.2)−0.2 (−0.5 to 0.2)0.09
    • Data are estimate (standard error) unless otherwise indicated.

    • Intervention–by–poverty status interaction models used multiple imputed data weighted for the sample eligible for enrollment and accounted for the design effect of the cluster randomization. A linear regression model was used for a continuous variable (presented as between-group difference) or a logistic regression model for a binary variable (presented as odds ratio [OR]), adjusted for the baseline status of the dependent variable, age, education, race/ethnicity, 12-month depressive disorder, and community; it accounted for the design effect of the cluster randomization. No significant interactions of intervention and poverty status were found for any of the outcome variables.

    • ↵* P < .01.

    • ↵† P < .05.

    • CEP, Community Engagement and Planning; CI, confidence interval; ES, standardized effect size; MHQOL, mental health quality of life; RS, Resources for Services.

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    Table 4.

    Service Utilization By Poverty Status and Intervention Assignment (Model 1)

    Not Below the Federal Poverty Line (n = 268)Below the Federal Poverty Line (n = 750)
    RSCEPCEP vs. RS, Test (95% CI)ESRSCEPCEP vs. RS, Test (95% CI)ES
    Spent nights in a behavioral health hospital (%)OROR
        6-Month follow-up10.9 (4.0)5.4 (2.6)0.5 (0.2–1.3)0.2010.4 (2.2)5.9 (1.6)0.5 (0.3–1.1)0.17
        12-Month follow-up5.0 (1.9)3.9 (1.5)0.8 (0.2–2.4)0.055.1 (1.2)4.5 (1.0)0.9 (0.4–1.7)0.03
    Any MHS outpatient visits (%)
        6-Month follow-up50.3 (6.7)51.0 (5.4)1.0 (0.5–2.0)0.0155.4 (3.4)54.4 (3.6)0.9 (0.6–1.6)0.02
        12-Month follow-up44.4 (6.1)40.3 (6.0)0.8 (0.3–2.1)0.0844.5 (3.8)43.4 (3.8)0.9 (0.6–1.5)0.02
    MHS outpatient visits (mean)IRRIRR
        6-Month follow-up7.5 (2.6)8.0 (1.7)1.1 (0.5–2.5)0.0311.7 (2.4)8.0 (1.3)0.7 (0.4–1.3)0.15
        12-Month follow-up5.5 (1.9)4.7 (1.2)0.9 (0.4–1.9)0.066.0 (1.0)4.8 (0.5)0.8 (0.5–1.2)0.09
    MHS outpatient visits in which advice for medication was received (mean)
        6-Month follow-up7.0 (3.3)5.3 (0.8)0.8 (0.3–2.2)0.1112.2 (2.8)5.2 (0.5)0.4 (0.2–0.7)*0.30
        12-Month follow-up6.4 (2.5)8.2 (2.0)1.3 (0.5–3.4)0.126.0 (1.0)6.1 (0.8)1.0 (0.6–1.6)0.01
    MHS outpatient visits during which counseling was received (mean)
        6-Month follow-up10.5 (3.6)10.7 (1.9)1.0 (0.5–2.3)0.0117.3 (3.3)10.7 (1.4)0.6 (0.3–1.2)0.24
        12-Month follow-up9.3 (2.6)10.3 (2.4)1.1 (0.5–2.3)0.068.9 (1.3)7.7 (0.8)0.9 (0.6–1.3)0.10
    Any outpatient substance abuse service or self-help group (%)OROR
        6-Month follow-up22.3 (3.9)28.3 (5.5)1.5 (0.6–3.6)0.1428.0 (4.3)30.6 (3.7)1.2 (0.7–2.1)0.06
        12-Month follow-up13.7 (3.2)18.4 (3.6)1.5 (0.7–3.3)0.1318.6 (3.0)20.5 (3.3)1.1 (0.6–2.3)0.05
    Stayed in residential treatment for substance abuse problem (%)
        6-Month follow-up12.8 (4.1)12.4 (4.1)1.0 (0.4–2.6)0.0112.8 (3.5)15.1 (3.7)1.3 (0.6–2.6)0.07
        12-Month follow-up5.2 (2.4)3.8 (2.8)0.6 (0.0–11.6)0.077.4 (1.9)5.9 (2.0)0.8 (0.3–1.9)0.06
    Visited primary care (%)
        6-Month follow-up73.0 (3.9)67.5 (5.6)0.8 (0.4–1.5)0.1266.7 (3.5)67.8 (3.6)1.1 (0.7–1.6)0.02
        12-Month follow-up71.1 (4.9)68.6 (4.7)0.9 (0.4–1.8)0.0561.1 (2.7)71.7 (2.7)1.7 (1.2–2.4)*0.23
    Visits in community (informal) sector for depression (mean)
        6-Month follow-up3.7 (1.7)3.0 (1.5)0.8 (0.2–3.0)0.042.2 (0.5)4.4 (1.0)2.0 (1.1–3.9)†0.15
        12-Month follow-up2.5 (1.0)2.5 (1.5)0.9 (0.3–3.6)0.001.7 (0.4)3.9 (1.2)2.3 (1.1–5.1)†0.14
    Outpatient contacts for depression all sectors (mean)
        6-Month follow-up16.4 (3.8)19.8 (4.8)1.2 (0.6–2.3)0.0925.0 (4.8)22.6 (3.1)0.9 (0.5–1.6)0.05
        12-Month follow-up14.7 (4.9)14.6 (3.9)1.0 (0.4–2.2)0.0019.8 (2.8)18.0 (2.6)0.9 (0.6–1.3)0.04
    • Data are estimate (standard error) unless otherwise indicated.

    • Intervention–by–poverty status interaction models used multiple imputed data weighted for the sample eligible for enrollment and accounted for the design effect of the cluster randomization. A logistic regression model was used for a binary variable (presented as odds ratio [OR]) or a Poisson regression model for a count variables (presented as incidence rate ratios [IRR]); adjusted for the baseline status of the dependent variable, age, education, race/ethnicity, 12-month depressive disorder, and community; and accounted for the design effect of the cluster randomization. No significant interactions of intervention by poverty status were found for any outcome variables.

    • ↵* P < .01.

    • ↵† P < .05.

    • CEP, Community Engagement and Planning; CI, confidence interval; ES, standardized effect size; MHS, mental health service; RS, Resources for Services.

    • View popup
    Table 5.

    Health and Social Outcomes by Intervention Assignment Among Mutually Exclusive Client Subgroups Below the Federal Poverty Line (Model 2)

    Involved in the Justice System (n = 158)Homeless, Not Involved in the Justice System (n = 298)Other Poor (n = 294)
    RSCEPCEP vs. RS, Test (95% CI)ESRSCEPCEP vs. RS, Test (95% CI)ESRSCEPCEP vs. RS, Test (95% CI)ES
    Poor MHQOL (%)OROROR
        6-Month follow-up50.1 (5.3)38.0 (5.7)0.6 (0.3–1.2)0.2455.6 (5.8)49.4 (4.8)0.8 (0.4–1.5)0.1247.9 (4.4)47.6 (3.7)1.0 (0.6–1.5)0.00
        12-Month follow-up50.6 (8.0)40.9 (7.9)0.7 (0.3–1.8)0.1955.3 (4.4)48.1 (4.6)0.7 (0.5–1.2)0.1450.2 (4.8)45.8 (5.4)0.8 (0.5–1.4)0.09
    PHQ-9 standard score (mean)DifferenceDifferenceDifference
        6-Month follow-up13.0 (1.0)13.0 (0.9)0.0 (−2.9 to 2.9)0.0013.7 (0.6)12.8 (0.7)−0.9 (−2.7 to 1.0)0.1312.5 (0.8)12.5 (0.7)0.0 (−2.5 to 2.4)0.00
        12-Month follow-up11.8 (0.9)11.5 (1.2)−0.3 (−2.6 to 2.1)0.0412.7 (0.6)12.1 (0.6)−0.6 (−2.2 to 1.0)0.0912.5 (0.8)12.6 (0.6)0.0 (−1.9 to 1.9)0.00
    Mental wellness (%)OROROR
        6-Month follow-up31.0 (6.4)50.8 (6.7)2.5 (0.9–6.9)0.4133.4 (4.7)40.3 (4.2)1.4 (0.7–2.7)0.1429.6 (4.1)45.7 (4.3)2.1 (1.2–3.7)*0.33
        12-Month follow-up51.8 (8.3)58.4 (6.8)1.3 (0.4–4.1)0.1340.1 (5.0)48.9 (6.1)1.5 (0.7–3.0)0.1846.1 (5.5)43.0 (4.5)0.9 (0.5–1.6)0.06
    Good physical health (%)
        6-Month follow-up74.2 (5.5)79.8 (5.5)1.4 (0.6–3.5)0.1373.5 (3.1)74.0 (4.8)1.0 (0.6–1.8)0.0172.9 (4.4)76.8 (3.9)1.2 (0.6–2.4)0.09
        12-Month follow-up73.9 (5.4)81.8 (7.1)1.6 (0.5–4.9)0.1966.5 (4.0)78.3 (4.0)1.9 (1–3.4)*0.2770.9 (5.3)77.0 (3.6)1.4 (0.8–2.5)0.14
    Homeless/risk (%)
        6-Month follow-up41.9 (7.3)20.6 (6.4)0.4 (0.1–0.9)†0.4655.1 (4.5)46.1 (5.9)0.7 (0.4–1.3)0.1824.5 (4.6)17.9 (3.3)0.7 (0.4–1.3)0.16
        12-Month follow-up32.2 (8.6)36.7 (6.6)1.2 (0.5–2.8)0.1045.2 (4.7)48.0 (4.9)1.1 (0.7–1.9)0.0623.1 (5.1)21.7 (4.6)0.9 (0.4–2.1)0.03
    Worried about cost (%)
        6-Month follow-up34.9 (6.5)32.9 (5.4)0.9 (0.4–1.9)0.0435.7 (4.4)30.7 (4.2)0.8 (0.5–1.4)0.1129.0 (4.6)27.5 (4.1)0.9 (0.6–1.6)0.03
        12-Month follow-up30.8 (5.6)26.4 (7.7)0.8 (0.3–2.0)0.1037.3 (4.3)23.3 (4.9)0.5 (0.2–1.0)0.3128.3 (4.8)23.7 (3.7)0.8 (0.4–1.4)0.11
    Life difficulties total score out of 15 (mean)DifferenceDifferenceDifference
        6-Month follow-up2.9 (0.4)1.9 (0.3)−1.1 (−1.9 to −0.2)†0.443.3 (0.3)3.3 (0.3)0.0 (−0.8 to 0.7)0.012.6 (0.3)2.6 (0.2)−0.1 (−0.7 to 0.5)0.03
        12-Month follow-up2.5 (0.4)2.6 (0.3)0.1 (−1.3 to 1.5)0.043.0 (0.2)2.7 (0.3)−0.2 (−0.9 to 0.4)0.102.7 (0.3)2.5 (0.3)−0.2 (−1.0 to 0.6)0.12
    • Data are estimate (standard error) unless otherwise indicated.

    • Intervention–by–vulnerable subgroups interaction models used multiple imputed data weighted for eligible sample for enrollment and accounted for the design effect of the cluster randomization. A linear regression model was used for a continuous variable (presented as between-group difference) or a logistic regression model for a binary variable (presented as odds ratio [OR]); adjusted for baseline status of the dependent variable, age, education, race/ethnicity, 12-month depressive disorder, and community; and accounted for the design effect of the cluster randomization. No significant interactions of intervention by poverty status were found for any outcome variables.

    • ↵* *P < .01.

    • ↵† P < .05.

    • CEP, Community Engagement and Planning; CI, confidence interval; ES, standardized effect size; MHQOL, mental health quality of life; RS, Resources for Services.

    • View popup
    Table 6.

    Service Utilization by Intervention Assignment among Mutually Exclusive Client Subgroups Below the Federal Poverty Line (Model 2)

    Involved in the Justice System (n = 158)Homeless, Not Involved in the Justice System (n = 298)Other Poor (n = 294)
    RSCEPCEP vs. RS, Test (95% CI)ESRSCEPCEP vs. RS, Test (95% CI)ESRSCEPCEP vs. RS, Test (95% CI)ES
    Nights spent in a behavioral health hospital (%)OROROR
        6-Month follow-up13.5 (4.2)7.5 (4.4)0.5 (0.1–2.3)0.2011.6 (4.1)6.3 (2.8)0.5 (0.1–2.1)0.196.8 (2.7)4.9 (2.0)0.7 (0.2–2.2)0.08
        12-Month follow-up4.0 (2.2)4.4 (2.2)1.1 (0.3–4.3)0.028.0 (2.0)5.1 (2.1)0.6 (0.2–1.8)0.121.8 (1.6)3.8 (1.8)2.4 (0.3–18.2)0.13
    Any MHS outpatient visits (%)
        6-Month follow-up52.1 (7.2)61.0 (7.2)1.6 (0.6–4.3)0.1854.6 (5.1)52.8 (5.3)0.9 (0.5–1.8)0.0461.4 (5.3)55.4 (4.2)0.7 (0.4–1.4)0.12
        12-Month follow-up38.1 (7.5)42.4 (7.6)1.2 (0.5–2.9)0.0945.6 (5.0)41.3 (4.6)0.8 (0.4–1.6)0.0950.5 (5.3)48.1 (4.7)0.9 (0.5–1.7)0.05
    # MHS outpatient visits (mean)IRRIRRIRR
        6-Month follow-up13.3 (4.4)10.4 (2.7)0.8 (0.3–1.9)0.1011.3 (3.7)8.2 (1.8)0.7 (0.3–1.9)0.1311.7 (3.4)6.9 (1.4)0.6 (0.3–1.3)0.24
        12-Month follow-up3.6 (1.0)4.4 (1.1)1.2 (0.7–2.2)0.087.6 (1.8)4.6 (0.8)0.6 (0.3–1.1)0.195.7 (1.7)5.5 (1.0)1.0 (0.5–1.9)0.02
    MHS outpatient visits received advice for medication if visited (mean)
        6-Month follow-up14.3 (5.9)5.7 (1.1)0.4 (0.2–0.9)*0.3110.9 (4.4)4.9 (0.7)0.5 (0.2–1.1)0.2612.4 (4.3)5.3 (1.1)0.4 (0.2–1.1)0.35
        12-Month follow-up6.6 (1.9)6.1 (1.4)0.9 (0.5–2.0)0.056.1 (1.3)6.2 (1.3)1 (0.6–1.8)0.015.4 (1.8)6.1 (1.3)1.1 (0.5–2.7)0.07
    MHS outpatient visits received counseling if visited (mean)
        6-Month follow-up24.9 (7.2)9.0 (2.4)0.4 (0.2–0.7)†0.4814.8 (4.5)12.7 (2.3)0.9 (0.3–2.4)0.0715.8 (5.1)10.1 (2.5)0.6 (0.2–1.7)0.26
        12-Month follow-up8.0 (2.4)9.0 (1.7)1.1 (0.5–2.8)0.089.4 (1.9)7.8 (1.4)0.8 (0.5–1.4)0.138.9 (2.3)7.3 (1.6)0.8 (0.4–1.5)0.15
    Any outpatient substance abuse service or self-help group (%)OROROR
        6-Month follow-up39.1 (6.9)38.8 (5.8)1 (0.4–2.3)0.0124.3 (5.0)30.9 (4.7)1.5 (0.7–3.3)0.1523.9 (5.9)26.6 (6.1)1.2 (0.4–3.6)0.06
        12-Month follow-up23.0 (4.7)22.8 (6.2)1 (0.4–2.6)0.0117.7 (3.9)20.5 (4.2)1.2 (0.5–3.1)0.0716.0 (4.5)19.8 (4.5)1.3 (0.4–4.3)0.10
    Stayed in residential treatment for substance abuse problem (%)
        6-Month follow-up18.4 (4.7)19.6 (5.4)1.1 (0.4–2.7)0.0310.5 (4.2)15.7 (4.1)1.8 (0.6–5.5)0.169.8 (5.2)12.1 (5.3)1.3 (0.3–6.2)0.07
        12-Month follow-up7.3 (3.9)6.8 (3.4)1.0 (0.2–4.4)0.0210.2 (2.7)8.3 (3.1)0.8 (0.3–2.1)0.073.7 (2.3)3.3 (2.0)0.9 (0.1–5.9)0.02
    Visited primary care (%)
        6-Month follow-up58.3 (6.5)60.9 (9.4)1.1 (0.4–3.4)0.0564.2 (4.3)72.0 (4.4)1.5 (0.8–2.9)0.1773.3 (3.8)65.5 (4.3)0.7 (0.4–1.2)0.17
        12-Month follow-up53.7 (5.7)63.7 (7.4)1.6 (0.7–3.4)0.2061.2 (5.4)70.8 (4.5)1.6 (0.8–3.1)0.2062.8 (4.8)74.5 (4.3)1.8 (1.0–3.3)0.25
    Visits in community (informal) sector for depression (mean)
        6-Month follow-up2.8 (1.6)4.7 (1.7)1.7 (0.5–5.8)0.141.9 (0.8)4.5 (1.8)2.3 (0.8–7.1)0.111.8 (1.2)4.3 (1.8)2.5 (0.5–12.2)0.18
        12-Month follow-up1.3 (0.8)4.8 (3.1)3.6 (0.8–15.7)0.182.4 (0.8)4.2 (1.8)1.8 (0.6–5)0.111.0 (0.4)3.2 (1.6)3.3 (1.0–11.0)*0.21
    Outpatient contacts for depression, all sectors (mean)
        6-Month follow-up28.3 (8.0)33.1 (8.3)1.2 (0.7–2.1)0.0725.2 (7.5)21.3 (5.5)0.8 (0.3–2.7)0.0822.3 (6.2)19.1 (4.8)0.9 (0.4–1.9)0.08
        12-Month follow-up11.4 (3.5)21.8 (5.9)1.9 (1.0–3.8)0.2724.5 (4.5)17.5 (3.9)0.7 (0.4–1.2)0.1320.5 (5.0)17.5 (3.7)0.9 (0.5–1.6)0.09
    • Data are estimate (standard error) unless otherwise indicated.

    • Intervention–by–vulnerable subgroups interaction models used multiple imputed data weighted for eligible sample for enrollment and accounted for the design effect of the cluster randomization. A logistic regression model was used for a binary variable (presented as odds ratio [OR]) or a Poisson regression model for a count variables (presented as incidence rate ratios [IRR]); adjusted for baseline status of the dependent variable, age, education, race/ethnicity, 12-month depressive disorder, and community; and accounted for the design effect of the cluster randomization. No significant interactions of intervention by poverty status were found for any outcome variables.

    • ↵* P < .05.

    • ↵† P < .01.

    • CEP, Community Engagement and Planning; CI, confidence interval; ES, standardized effect size; MHS, mental health service; RS, Resources for Services.

    • View popup
    Appendix Table 1.

    Health and Social Outcomes by Poverty Status and Intervention Assignment (Model 1) with P Values and the P Values Adjusted for False Discovery Rates

    Not Below the Federal Poverty Line (n = 268)Below the Federal Poverty Line (n = 750)
    RSCEPCEP vs. RS, Test (95% CI)PPFDRESRSCEPCEP vs. RS, Test (95% CI)PPFDRES
    Poor MHQOL (%)OROR
        6-Month follow-up51.4 (4.4)37.0 (4.7)0.5 (0.3–1.1).084.5540.2951.6 (3.0)46.5 (2.5)0.8 (0.6–1.1).175.3940.10
        12-Month follow-up45.3 (4.9)42.4 (5.8)0.9 (0.5–1.6).689.9690.0652.2 (3.0)45.7 (3.2)0.8 (0.6–1.1).107.2500.13
    PHQ-8 standard score (mean)DifferenceDifference
        6-Month follow-up12.1 (0.8)11.8 (0.7)−0.2 (−2.6, 2.2).840.8400.0413.1 (0.5)12.7 (0.5)−0.4 (−2.3, 1.4).596.5960.06
        12-Month follow-up10.9 (0.9)10.9 (0.8)0.0 (−2.2, 2.3).969.9690.0012.4 (0.4)12.1 (0.4)−0.3 (−1.5, 0.9).605.6230.04
    Mental wellness (%)OROR
        6-Month follow-up40.1 (4.9)49.0 (6.5)1.5 (0.6–3.4).328.7660.1831.6 (3.0)44.6 (2.6)1.8 (1.2–2.7).004.0270.27
        12-Month follow-up54.7 (5.7)51.0 (4.3)0.9 (0.5–1.6).619.9690.0744.8 (3.6)48.2 (3.4)1.2 (0.7–1.8).509.6230.07
    Good physical health (%)
        6-Month follow-up78.1 (4.3)80.2 (3.9)1.2 (0.5–2.5).712.8400.0573.5 (2.8)76.4 (2.2)1.2 (0.8–1.7).360.4200.07
        12-Month follow-up78.0 (4.2)77.4 (3.8)1.0 (0.5–1.9).906.9690.0169.6 (3.5)78.4 (2.8)1.6 (1.1–2.4).019.1150.20
    Homeless/risk (%)
        6-Month follow-up38.1 (6.6)27.9 (4.8)0.6 (0.3–1.2).158.5540.2240.3 (3.4)30.3 (3.1)0.6 (0.4–1.0).050.1760.21
        12-Month follow-up25.7 (4.1)31.0 (5.3)1.3 (0.7–2.5).400.9690.1233.8 (3.6)35.7 (3.5)1.1 (0.8–1.6).623.6230.04
    Worried about cost (%)
        6-Month follow-up29.5 (4.5)32.2 (5.8)1.1 (0.5–2.7).755.8400.0633.0 (2.7)29.6 (2.6)0.9 (0.6–1.2).334.4200.07
        12-Month follow-up28.7 (4.8)30.1 (4.6)1.1 (0.6–2.0).820.9690.0332.6 (2.6)24.0 (3.2)0.6 (0.4–1.0).033.1150.19
    Life difficulties total score out of 15 (mean)DifferenceDifference
        6-Month follow-up3.0 (0.3)2.7 (0.3)−0.3 (−1.0, 0.5).491.8400.123.0 (0.2)2.7 (0.1)−0.3 (−0.7, 0.2).225.3940.12
        12-Month follow-up2.6 (0.2)2.4 (0.2)−0.2 (−0.9, 0.4).499.9690.092.8 (0.2)2.6 (0.2)−0.2 (−0.5, 0.2).376.6230.09
    • Data are estimate (standard error) unless otherwise indicated.

    • Intervention–by–poverty status interaction models were used multiple imputed data, were weighted for eligible sample for enrollment, and accounted for the design effect of the cluster randomization. A linear regression model was used for continuous variables (presented as the between-group difference) and a logistic regression model was used for binary variables (presented as odds ratio [OR]), adjusted for baseline status of the dependent variable, age, education, race/ethnicity, 12-month depressive disorder, and community. No significant interactions of intervention and poverty status were found for any outcome variables.

    • CEP, Community Engagement and Planning; CI, confidence interval; ES, standardized effect size; MHQOL, mental health quality of life; PFDR, P value adjusted for false discovery rate; PHQ-8, 8-item Patient Health Questionnaire; RS, Resources for Services.

    • View popup
    Appendix Table 2.

    Service Utilization By Poverty Status and Intervention Assignment (Model 1) with P Values and the P Values Adjusted for False Discovery Rates

    Not Below the Federal Poverty Line (n = 268)Below the Federal Poverty Line (n = 750)
    RSCEPCEP vs. RS, Test (95% CI)PPFDRESRSCEPCEP vs. RS, Test (95% CI)PPFDRES
    Nights spent in a behavioral health hospital (%)OROR
        6-Month follow-up10.9 (4.0)5.4 (2.6)0.5 (0.2–1.3).149.9410.2010.4 (2.2)5.9 (1.6)0.5 (0.3–1.1).087.2890.17
        12-Month follow-up5.0 (1.9)3.9 (1.5)0.8 (0.2–2.4).620.9730.055.1 (1.2)4.5 (1.0)0.9 (0.4–1.7).685.8570.03
    Any MHS outpatient visits (%)
        6-Month follow-up50.3 (6.7)51.0 (5.4)1.0 (0.5–2.0).918.9410.0155.4 (3.4)54.4 (3.6)0.9 (0.6–1.6).825.8250.02
        12-Month follow-up44.4 (6.1)40.3 (6.0)0.8 (0.3–2.1).649.9730.0844.5 (3.8)43.4 (3.8)0.9 (0.6–1.5).818.9090.02
    MHS outpatient visits (mean)IRRIRR
        6-Month follow-up7.5 (2.6)8.0 (1.7)1.1 (0.5–2.5).847.9410.0311.7 (2.4)8.0 (1.3)0.7 (0.4–1.3).211.4220.15
        12-Month follow-up5.5 (1.9)4.7 (1.2)0.9 (0.4–1.9).703.9730.066.0 (1.0)4.8 (0.5)0.8 (0.5–1.2).264.8570.09
    MHS outpatient visits during which advice for medication was received (mean)
        6-Month follow-up7.0 (3.3)5.3 (0.8)0.8 (0.3–2.2).626.9410.1112.2 (2.8)5.2 (0.5)0.4 (0.2–0.7).006.0590.30
        12-Month follow-up6.4 (2.5)8.2 (2.0)1.3 (0.5–3.4).603.9730.126.0 (1.0)6.1 (0.8)1.0 (0.6–1.6).968.9680.01
    MHS outpatient visits during which counseling was received (mean)
        6-Month follow-up10.5 (3.6)10.7 (1.9)1.0 (0.5–2.3).939.9410.0117.3 (3.3)10.7 (1.4)0.6 (0.3–1.2).118.2940.24
        12-Month follow-up9.3 (2.6)10.3 (2.4)1.1 (0.5–2.3).778.9730.068.9 (1.3)7.7 (0.8)0.9 (0.6–1.3).442.8570.10
    Any outpatient SA service or self-help group (%)OROR
        6-Month follow-up22.3 (3.9)28.3 (5.5)1.5 (0.6–3.6).307.9410.1428.0 (4.3)30.6 (3.7)1.2 (0.7–2.1).545.7780.06
        12-Month follow-up13.7 (3.2)18.4 (3.6)1.5 (0.7–3.3).329.9730.1318.6 (3.0)20.5 (3.3)1.1 (0.6–2.3).672.8570.05
    Stayed in residential treatment for substance abuse problem (%)
        6-Month follow-up12.8 (4.1)12.4 (4.1)1.0 (0.4–2.6).941.9410.0112.8 (3.5)15.1 (3.7)1.3 (0.6–2.6).521.7780.07
        12-Month follow-up5.2 (2.4)3.8 (2.8)0.6 (0.0–11.6).670.9730.077.4 (1.9)5.9 (2.0)0.8 (0.3–1.9).566.8570.06
    Visited PCP (%)
        6-Month follow-up73.0 (3.9)67.5 (5.6)0.8 (0.4–1.5).394.9410.1266.7 (3.5)67.8 (3.6)1.1 (0.7–1.6).78.8250.02
        12-Month follow-up71.1 (4.9)68.6 (4.7)0.9 (0.4–1.8).724.9730.0561.1 (2.7)71.7 (2.7)1.7 (1.2–2.4).004.0440.23
    Visits in community (informal) sector for depression (mean)IRRIRR
        6-Month follow-up3.7 (1.7)3.0 (1.5)0.8 (0.2–3.0).728.9410.042.2 (0.5)4.4 (1.0)2.0 (1.1–3.9).032.1590.15
        12-Month follow-up2.5 (1.0)2.5 (1.5)0.9 (0.3–3.6).935.9940.001.7 (0.4)3.9 (1.2)2.3 (1.1–5.1).033.1630.14
    Outpatient contacts for depression, all sectors (mean)
        6-Month follow-up16.4 (3.8)19.8 (4.8)1.2 (0.6–2.3).571.9410.0925.0 (4.8)22.6 (3.1)0.9 (0.5–1.6).724.8250.05
        12-Month follow-up14.7 (4.9)14.6 (3.9)1.0 (0.4–2.2).994.9940.0019.8 (2.8)18.0 (2.6)0.9 (0.6–1.3).621.8570.04
    • Data are estimate (standard error) unless otherwise indicated.

    • Intervention–by–poverty status interaction models were used multiple imputed data, were weighted for eligible sample for enrollment, and accounted for the design effect of the cluster randomization. A logistic regression model was used for binary variables (presented as odds ratio [OR]) and a Poisson regression model for continuous variables (presented as incidence rate ratios [IRRs]), adjusted for baseline status of the dependent variable, age, education, race/ethnicity, 12-month depressive disorder, and community. No significant interactions of intervention and poverty status were found for any outcome variables.

    • CEP, Community Engagement and Planning; CI, confidence interval; ES, standardized effect size; MHS, mental health specialty; PCP, primary care provider; PFDR, P value adjusted for false discovery rate; RS, Resources for Services; SA, substance abuse.

    • View popup
    Appendix Table 3.

    Health and Social Outcomes by Intervention Assignment Among Mutually Exclusive Client Subgroups Below the Federal Poverty Line (Model 2) with P Values and the P Values Adjusted for False Discovery Rates

    Involved in the Justice System (n = 158)Homeless, Not Involved in the Justice System (n = 298)Other Poor (n = 294)
    RSCEPCEP vs. RS, Test (95% CI)PPFDRESRSCEPCEP vs. RS, Test (95% CI)PPFDRESRSCEPCEP vs. RS, Test (95% CI)PPFDRES
    Poor MHQOL (%)OROROR
        6-Month follow-up50.1 (5.3)38.0 (5.7)0.6 (0.3–1.2).144.2520.2455.6 (5.8)49.4 (4.8)0.8 (0.4–1.5).424.5940.1247.9 (4.4)47.6 (3.7)1.0 (0.6–1.5).965.9770.00
        12-Month follow-up50.6 (8.0)40.9 (7.9)0.7 (0.3–1.8).392.8460.1955.3 (4.4)48.1 (4.6)0.7 (0.5–1.2).223.5190.1450.2 (4.8)45.8 (5.4)0.8 (0.5–1.4).501.9110.09
    PHQ-8 standard score (mean)DifferenceDifferenceDifference
        6-Month follow-up13.0 (1.0)13.0 (0.9)0.0 (−2.9, 2.9).997.9970.0013.7 (0.6)12.8 (0.7)−0.9 (−2.7, 1.0).347.5940.1312.5 (0.8)12.5 (0.7)0.0 (−2.5, 2.4).977.9770.00
        12-Month follow-up11.8 (0.9)11.5 (1.2)−0.3 (−2.6, 2.1).809.8830.0412.7 (0.6)12.1 (0.6)−0.6 (−2.2, 1.0).434.5550.0912.5 (0.8)12.6 (0.6)0.0 (−1.9, 1.9).978.9780.00
    Mental wellness (%)OROROR
        6-Month follow-up31.0 (6.4)50.8 (6.7)2.5 (0.9–6.9).080.1870.4133.4 (4.7)40.3 (4.2)1.4 (0.7–2.7).340.5940.1429.6 (4.1)45.7 (4.3)2.1 (1.2–3.7).009.0620.33
        12-Month follow-up51.8 (8.3)58.4 (6.8)1.3 (0.4–4.1).589.8460.1340.1 (5.0)48.9 (6.1)1.5 (0.7–3.0).304.5310.1846.1 (5.5)43.0 (4.5)0.9 (0.5–1.6).651.9110.06
    Good physical health (%)
        6-Month follow-up74.2 (5.5)79.8 (5.5)1.4 (0.6–3.5).459.6430.1373.5 (3.1)74.0 (4.8)1.0 (0.6–1.8).9060.9170.0172.9 (4.4)76.8 (3.9)1.2 (0.6–2.4).499.9770.09
        12-Month follow-up73.9 (5.4)81.8 (7.1)1.6 (0.5–4.9).348.8460.1966.5 (4.0)78.3 (4.0)1.9 (1.0–3.4).0420.1960.2770.9 (5.3)77.0 (3.6)1.4 (0.8–2.5).263.9110.14
    Homeless/risk (%)
        6-Month follow-up41.9 (7.3)20.6 (6.4)0.4 (0.1–0.9).036.1260.4655.1 (4.5)46.1 (5.9)0.7 (0.4–1.3).2670.5940.1824.5 (4.6)17.9 (3.3)0.7 (0.4–1.3).213.7460.16
        12-Month follow-up32.2 (8.6)36.7 (6.6)1.2 (0.5–2.8).588.8460.1045.2 (4.7)48.0 (4.9)1.1 (0.7–1.9).6430.6430.0623.1 (5.1)21.7 (4.6)0.9 (0.4–2.1).836.9760.03
    Worried about cost (%)
        6-Month follow-up34.9 (6.5)32.9 (5.4)0.9 (0.4–1.9).807.9420.0435.7 (4.4)30.7 (4.2)0.8 (0.5–1.4).4020.5940.1129.0 (4.6)27.5 (4.1)0.9 (0.6–1.6).769.9770.03
        12-Month follow-up30.8 (5.6)26.4 (7.7)0.8 (0.3–2.0).604.8460.1037.3 (4.3)23.3 (4.9)0.5 (0.2–1.0).0560.1960.3128.3 (4.8)23.7 (3.7)0.8 (0.4–1.4).418.9110.11
    Life difficulties total score out of 15 (mean)DifferenceDifferenceDifference
        6-Month follow-up2.9 (0.4)1.9 (0.3)−1.1 (−1.9, −0.2).017.1200.443.3 (0.3)3.3 (0.3)0.0 (−0.8, 0.7).9170.9170.012.6 (0.3)2.6 (0.2)−0.1 (−0.7, 0.5).808.9770.03
        12-Month follow-up2.5 (0.4)2.6 (0.3)0.1 (−1.3, 1.5).883.8830.043.0 (0.2)2.7 (0.3)−0.2 (−0.9, 0.4).4760.5550.102.7 (0.3)2.5 (0.3)−0.2 (−1, 0.6).547.9110.12
    • Data are estimate (standard error) unless otherwise indicated.

    • Intervention–by–vulnerable subgroup interaction models were used multiple imputed data, were weighted for eligible sample for enrollment, and accounted for the design effect of the cluster randomization. A linear regression model was used for continuous variables (presented as between-group differences) and a logistic regression model for binary variables (presented as odds ratio [OR]), adjusted for baseline status of the dependent variable, age, education, race/ethnicity, 12-month depressive disorder, and community. No significant interactions of intervention and poverty status were found for any outcome variables.

    • CEP, Community Engagement and Planning; CI, confidence interval; ES, standardized effect size; MHQOL, mental health quality of life; PFDR, P value adjusted for false discovery rate; PHQ-8, 8-item Patient Health Questionnaire; RS, Resources for Services.

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    Appendix Table 4.

    Service Utilization by Intervention Assignment Among Mutually Exclusive Client Subgroups Below the Federal Poverty Line (Model 2) with P Values and the P Values Adjusted for False Discovery Rates

    Involved in the Justice System (n = 158)Homeless, Not Involved in the Justice System (n = 298)Other Poor (n = 294)
    RSCEPCEP vs. RS, Test (95% CI)PPFDRESRSCEPCEP vs. RS, Test (95% CI)PPFDRESRSCEPCEP vs. RS, Test (95% CI)PPFDRES
    Nights spent in a behavioral health hospital (%)OROROR
        6-Month follow-up13.5 (4.2)7.5 (4.4)0.5 (0.1–2.3).356.8110.2011.6 (4.1)6.3 (2.8)0.5 (0.1–2.1).324.5410.196.8 (2.7)4.9 (2.0)0.7 (0.2–2.2).532.7590.08
        12-Month follow-up4.0 (2.2)4.4 (2.2)1.1 (0.3–4.3).883.9610.028.0 (2.0)5.1 (2.1)0.6 (0.2–1.8).356.7120.121.8 (1.6)3.8 (1.8)2.4 (0.3–18.2).383.9220.13
    Any MHS outpatient visits (%)
        6-Month follow-up52.1 (7.2)61.0 (7.2)1.6 (0.6–4.3).354.8110.1854.6 (5.1)52.8 (5.3)0.9 (0.5–1.8).780.7800.0461.4 (5.3)55.4 (4.2)0.7 (0.4–1.4).336.5710.12
        12-Month follow-up38.1 (7.5)42.4 (7.6)1.2 (0.5–2.9).616.9610.0945.6 (5.0)41.3 (4.6)0.8 (0.4–1.6).526.7290.0950.5 (5.3)48.1 (4.7)0.9 (0.5–1.7).723.9220.05
    MHS outpatient visits (mean)IRRIRRIRR
        6-Month follow-up13.3 (4.4)10.4 (2.7)0.8 (0.3–1.9).574.8360.1011.3 (3.7)8.2 (1.8)0.7 (0.3–1.9).469.6700.1311.7 (3.4)6.9 (1.4)0.6 (0.3–1.3).186.5710.24
        12-Month follow-up3.6 (1.0)4.4 (1.1)1.2 (0.7–2.2).536.9610.087.6 (1.8)4.6 (0.8)0.6 (0.3–1.1).074.7110.195.7 (1.7)5.5 (1.0)1 (0.5–1.9).943.9430.02
    MHS outpatient visits during which advice for medication was received (mean)
        6-Month follow-up14.3 (5.9)5.7 (1.1)0.4 (0.2–0.9).038.1920.3110.9 (4.4)4.9 (0.7)0.5 (0.2–1.1).065.5410.2612.4 (4.3)5.3 (1.1)0.4 (0.2–1.1).080.5710.35
        12-Month follow-up6.6 (1.9)6.1 (1.4)0.9 (0.5–2.0).860.9610.056.1 (1.3)6.2 (1.3)1.0 (0.6–1.8).958.9580.015.4 (1.8)6.1 (1.3)1.1 (0.5–2.7).737.9220.07
    MHS outpatient visits during which counseling was received counseling (mean)
        6-Month follow-up24.9 (7.2)9.0 (2.4)0.4 (0.2–0.7).007.0660.4814.8 (4.5)12.7 (2.3)0.9 (0.3–2.4).755.7800.0715.8 (5.1)10.1 (2.5)0.6 (0.2–1.7).343.5710.26
        12-Month follow-up8.0 (2.4)9.0 (1.7)1.1 (0.5–2.8).756.9610.089.4 (1.9)7.8 (1.4)0.8 (0.5–1.4).484.7290.138.9 (2.3)7.3 (1.6)0.8 (0.4–1.5).511.9220.15
    Any outpatient substance abuse service or self-help group (%)OROROR
        6-Month follow-up39.1 (6.9)38.8 (5.8)1.0 (0.4–2.3).964.9640.0124.3 (5.0)30.9 (4.7)1.5 (0.7–3.3).269.541.1523.9 (5.9)26.6 (6.1)1.2 (0.4–3.6).756.7590.06
        12-Month follow-up23.0 (4.7)22.8 (6.2)1.0 (0.4–2.6).958.9610.0117.7 (3.9)20.5 (4.2)1.2 (0.5–3.1).656.729.0716.0 (4.5)19.8 (4.5)1.3 (0.4–4.3).586.9220.10
    Stayed in residential treatment for substance abuse problem (%)
        6-Month follow-up18.4 (4.7)19.6 (5.4)1.1 (0.4–2.7).856.9510.0310.5 (4.2)15.7 (4.1)1.8 (0.6–5.5).308.541.169.8 (5.2)12.1 (5.3)1.3 (0.3–6.2).759.7590.07
        12-Month follow-up7.3 (3.9)6.8 (3.4)1.0 (0.2–4.4).961.9610.0210.2 (2.7)8.3 (3.1)0.8 (0.3–2.1).610.729.073.7 (2.3)3.3 (2.0)0.9 (0.1–5.9).872.9430.02
    Visited PCP (%)
        6-Month follow-up58.3 (6.5)60.9 (9.4)1.1 (0.4–3.4).804.9510.0564.2 (4.3)72.0 (4.4)1.5 (0.8–2.9).215.541.1773.3 (3.8)65.5 (4.3)0.7 (0.4–1.2).156.5710.17
        12-Month follow-up53.7 (5.7)63.7 (7.4)1.6 (0.7–3.4).252.8390.2061.2 (5.4)70.8 (4.5)1.6 (0.8–3.1).171.711.2062.8 (4.8)74.5 (4.3)1.8 (1.0–3.3).056.2810.25
    Visits in community (informal) sector for depression (mean)IRRIRRIRR
        6-Month follow-up2.8 (1.6)4.7 (1.7)1.7 (0.5–5.8).406.8110.141.9 (0.8)4.5 (1.8)2.3 (0.8–7.1).126.541.111.8 (1.2)4.3 (1.8)2.5 (0.5–12.2).242.5710.18
        12-Month follow-up1.3 (0.8)4.8 (3.1)3.6 (0.8–15.7).084.4220.182.4 (0.8)4.2 (1.8)1.8 (0.6–5).284.711.111.0 (0.4)3.2 (1.6)3.3 (1.0–11).050.2810.21
    Outpatient contacts for depression all sectors (mean)
        6-Month follow-up28.3 (8.0)33.1 (8.3)1.2 (0.7–2.1).585.8360.0725.2 (7.5)21.3 (5.5)0.8 (0.3–2.7).735.7800.0822.3 (6.2)19.1 (4.8)0.9 (0.4–1.9).686.7590.08
        12-Month follow-up11.4 (3.5)21.8 (5.9)1.9 (1–3.8).065.4220.2724.5 (4.5)17.5 (3.9)0.7 (0.4–1.2).229.7110.1320.5 (5.0)17.5 (3.7)0.9 (0.5–1.6).622.9220.09
    • Data are estimate (standard error) unless otherwise indicated.

    • Intervention–by–vulnerable subgroups interaction models were used multiple imputed data, were weighted for eligible sample for enrollment, and accounted for the design effect of the cluster randomization. A logistic regression model was used for binary variables (presented as odds ratio [OR]) and a Poisson regression model for continuous variables (presented as incidence rate ratios [IRRs]), adjusted for baseline status of the dependent variable, age, education, race/ethnicity, 12-month depressive disorder, and community. No significant interactions of intervention and poverty status were found for any outcome variables.

    • CEP, Community Engagement and Planning; CI, confidence interval; ES, standardized effect size; MHS, mental health specialty; PCP, primary care provider; PFDR, P value adjusted for false discovery rate; RS, Resources for Services; SA, substance abuse.

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The Journal of the American Board of Family     Medicine: 29 (3)
The Journal of the American Board of Family Medicine
Vol. 29, Issue 3
May-June 2016
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The Impact of Community Engagement on Health, Social, and Utilization Outcomes in Depressed, Impoverished Populations: Secondary Findings from a Randomized Trial
Christine A. Lam, Cathy Sherbourne, Lingqi Tang, Thomas R. Belin, Pluscedia Williams, Angela Young-Brinn, Jeanne Miranda, Kenneth B. Wells
The Journal of the American Board of Family Medicine May 2016, 29 (3) 325-338; DOI: 10.3122/jabfm.2016.03.150306

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The Impact of Community Engagement on Health, Social, and Utilization Outcomes in Depressed, Impoverished Populations: Secondary Findings from a Randomized Trial
Christine A. Lam, Cathy Sherbourne, Lingqi Tang, Thomas R. Belin, Pluscedia Williams, Angela Young-Brinn, Jeanne Miranda, Kenneth B. Wells
The Journal of the American Board of Family Medicine May 2016, 29 (3) 325-338; DOI: 10.3122/jabfm.2016.03.150306
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