Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Treatment Differences in Primary and Specialty Settings in Veterans with Major Depression

Victor Puac-Polanco, Lucinda B. Leung, Robert M. Bossarte, Corey Bryant, Janelle N. Keusch, Howard Liu, Hannah N. Ziobrowski, Wilfred R. Pigeon, David W. Oslin, Edward P. Post and Ronald C. Kessler
The Journal of the American Board of Family Medicine March 2021, 34 (2) 268-290; DOI: https://doi.org/10.3122/jabfm.2021.02.200475
Victor Puac-Polanco
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
MD, DrPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lucinda B. Leung
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
MD, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert M. Bossarte
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Corey Bryant
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
MS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Janelle N. Keusch
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Howard Liu
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hannah N. Ziobrowski
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
PhD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wilfred R. Pigeon
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David W. Oslin
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Edward P. Post
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
MD, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ronald C. Kessler
From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Appendix 4.
    • Download figure
    • Open in new tab
    Appendix 4.

    Patients Seen for Incident Depression as Reported in the Veterans Health Administration Electronic Medical Records from December 2018 through June 2020

Tables

  • Figures
    • View popup
    Table 1.

    Distributions and Associations of Administrative Variables with Survey Completion (n = 55,106)†

    PrevalenceUnivariateMultivariate
    %(S.E.)OR(95% CI)OR(95% CI)
    Age
        18-3427.61(0.19)0.76*(0.69-0.83)0.75*(0.68-0.82)
        35-4926.91(0.19)0.95(0.87-1.03)0.94(0.86-1.03)
        50-5917.06(0.16)1.15*(1.05-1.26)1.17*(1.07-1.29)
        60+28.42(0.19)1.00Ref1.00Ref
        χ2372.65*76.83*
    Sex
        Male82.67(0.16)0.77*(0.72-0.84)0.69*(0.63-0.75)
    Race/ethnicity
        Non-Hispanic White60.84(0.21)1.00Ref1.00Ref
        Non-Hispanic Black25.12(0.18)0.66*(0.61-0.71)0.66*(0.60-0.72)
        Hispanic10.30(0.13)0.63*(0.56-0.72)0.67*(0.59-0.76)
        Other3.74(0.08)0.58*(0.47-0.71)0.59*(0.48-0.72)
        χ 23154.23*128.88*
    Marital status
        Currently married48.60(0.21)1.00Ref1.00Ref
        Divorced21.87(0.18)0.83*(0.77-0.91)0.82*(0.75-0.89)
        Separated4.70(0.09)0.90(0.77-1.05)0.99(0.84-1.15)
        Widowed2.14(0.06)0.76*(0.60-0.97)0.69*(0.54-0.89)
        Never married22.69(0.18)0.78*(0.72-0.85)0.90*(0.82-0.98)
        χ 2442.34*28.52*
    Census region
        Northeast10.77(0.13)1.02(0.91-1.15)0.98(0.86-1.10)
        Midwest17.67(0.16)1.10(0.99-1.21)1.01(0.91-1.13)
        South50.64(0.21)0.98(0.90-1.07)0.97(0.89-1.06)
        West20.92(0.17)1.00Ref1.00Ref
        χ 236.651.11
    Urbanicity
        Major metro85.87(0.15)1.00Ref1.00Ref
        Urban12.73(0.14)1.19*(1.09-1.31)1.10(1.00-1.21)
        Rural1.40(0.05)1.21(0.94-1.56)1.10(0.85-1.42)
        χ 2215.83*3.73
    % of population below 1.5 of poverty line
        1st quartile (low % with low income)25.00(0.18)1.00Ref1.00Ref
        2nd quartile25.00(0.18)1.10(1.00-1.20)1.02(0.93-1.12)
        3rd quartile25.00(0.18)1.15*(1.05-1.26)1.06(0.96-1.16)
        4th quartile (high % with low income)25.00(0.18)1.19*(1.08-1.30)1.10(1.00-1.21)
        χ 2314.97*4.15
    History of previously diagnosed mental disorders
        Depression47.99(0.21)0.86*(0.81-0.92)0.89(0.79-1.01)
        Anxiety28.27(0.19)0.92*(0.86-0.99)1.00(0.83-1.21)
        PTSD24.28(0.18)0.83*(0.77-0.90)0.87(0.71-1.06)
        Adjustment disorder16.10(0.16)0.98(0.89-1.07)1.11(0.90-1.37)
        Other reactions to stress6.40(0.10)0.98(0.86-1.12)1.25(0.77-2.05)
        Substance17.62(0.16)0.77*(0.70-0.84)0.89(0.70-1.14)
        Other disorders18.84(0.17)1.03(0.95-1.12)1.08(0.87-1.33)
    Number of previously diagnosed mental disorders
        030.29(0.20)1.00Ref1.00Ref
        122.00(0.18)0.94(0.86-1.03)——
        221.34(0.17)0.85*(0.77-0.93)0.85*(0.78-0.94)
        3+26.38(0.19)0.82*(0.76-0.90)0.85*(0.78-0.93)
        χ 2325.46*
    Current depression treatment
        Primary58.16(0.21)0.89*(0.82-0.96)0.86(0.80-0.93)
        Secondary with primary physical16.96(0.16)1.11*(1.01-1.22)1.02(0.91-1.14)
        Secondary with primary other mental24.88(0.18)1.00Ref1.00Ref
        χ 2230.07*19.69*
    Treatment location, setting, and type
        Seen in community-based clinic57.15(0.21)1.18*(1.10-1.26)1.15*(1.07-1.23)
        Seen by primary care clinician39.64(0.21)1.09*(1.11-1.16)1.02(0.94-1.11)
        Received psychotherapy‡89.29(0.13)0.92(0.83-1.01)1.10(0.97-1.25)
        Received medication31.81(0.20)1.05(0.98-1.13)1.04(0.96-1.14)
        Received PC-MHI treatment35.95(0.20)0.96(0.89-1.02)0.99(0.92-1.07)
    • CI, confidence interval; OR, odds ratio; PC-MHI, primary care–mental health integration; PTSD, post-traumatic stress disorder; S.E., standard error.

    • ↵* Significant at the 0.05 level, 2-sided test.

    • ↵† Weighted to represent treatment distribution in population.

    • ↵‡ Either saw a mental health specialist or referred to mental health treatment.

    • View popup
    Table 2.

    Associations of Administrative Variables with Setting and Type of Treatment (n = 2610)†

    TargetPrimary CareSpecialty Mental HealthF5F1
    Psychotherapy‡ (n = 290)ADM (n = 439)Combined (n = 219)Total (n = 948)Psychotherapy‡ (n = 697)ADM (n = 373)Combined (n = 592)Total (n = 1662)
    Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)
    Age
        18 to 3427.61(0.19)−0.08(0.06)−0.03(0.05)0.07(0.07)−0.03(0.03)−0.01(0.04)0.06(0.05)0.03(0.04)0.02(0.02)1.21.6
        35 to 4926.91(0.19)−0.04(0.06)−0.02(0.05)−0.07(0.07)−0.04(0.03)−0.07(0.04)0.08(0.05)0.13(0.04)0.02(0.02)3.22.0
        50 to 5917.06(0.16)−0.07(0.06)−0.03(0.05)0.15(0.07)−0.01(0.03)0.01(0.04)−0.02(0.05)0.01(0.04)0.00(0.02)1.30.1
        60+28.42(0.19)0.18(0.06)0.08(0.05)−0.13(0.06)0.08(0.03)0.07(0.04)−0.12(0.05)−0.18*(0.04)−0.04(0.02)8.6*8.7*
    Sex
        Male82.67(0.16)0.09(0.06)−0.09(0.05)−0.03(0.07)0.01(0.03)0.06(0.04)−0.05(0.05)−0.09(0.04)0.00(0.02)2.90.1
    Race/ethnicity
        Non-Hispanic white60.84(0.21)−0.08(0.06)0.03(0.05)−0.10(0.07)−0.05(0.03)0.05(0.04)−0.02(0.05)0.01(0.04)0.03(0.02)1.63.3
        Non-Hispanic black25.12(0.18)0.12(0.06)−0.05(0.05)0.07(0.07)0.05(0.03)−0.04(0.04)−0.01(0.05)−0.02(0.04)−0.03(0.02)1.83.9
        Hispanic10.30(0.13)−0.05(0.05)0.01(0.05)0.07(0.07)−0.01(0.03)−0.02(0.04)0.06(0.06)0.01(0.04)0.00(0.02)0.80.1
        Other3.74(0.08)0.04(0.06)0.01(0.05)0.00(0.07)0.02(0.03)−0.02(0.04)−0.02(0.05)0.00(0.04)−0.01(0.02)0.20.6
    Marital status
        Currently married48.60(0.21)0.04(0.06)0.05(0.05)0.00(0.07)0.04(0.03)−0.03(0.04)0.07(0.05)−0.06(0.04)−0.02(0.02)1.11.7
        Divorced21.87(0.18)−0.04(0.06)−0.02(0.05)0.00(0.07)−0.03(0.03)0.02(0.04)−0.16*(0.04)0.11(0.04)0.01(0.02)3.21.0
        Separated4.70(0.09)−0.07(0.05)−0.07(0.04)−0.09(0.05)−0.07(0.03)0.02(0.04)0.05(0.06)0.06(0.05)0.04(0.03)1.67.6
        Widowed2.14(0.06)0.05(0.07)0.06(0.06)0.02(0.07)0.05(0.04)0.00(0.04)−0.03(0.05)−0.06(0.03)−0.02(0.02)0.82.8
        Never married22.69(0.18)0.01(0.06)−0.01(0.05)0.04(0.07)0.01(0.03)0.00(0.04)0.05(0.05)−0.05(0.04)0.00(0.02)0.50.1
    Census region
        Northeast10.77(0.13)−0.09(0.05)−0.15*(0.04)−0.20*(0.04)−0.13*(0.03)0.11(0.04)0.01(0.05)0.02(0.04)0.07(0.03)5.9*23.3*
        Midwest17.67(0.16)−0.07(0.06)−0.03(0.05)0.00(0.07)−0.04(0.03)0.06(0.04)−0.03(0.05)0.00(0.04)0.02(0.02)1.12.4
        South50.64(0.21)0.12(0.06)0.07(0.05)0.14(0.07)0.11*(0.03)−0.13*(0.04)0.08(0.05)−0.01(0.04)−0.06(0.02)5.6*15.6*
        West20.92(0.17)−0.01(0.06)0.05(0.05)−0.02(0.07)0.01(0.03)0.02(0.04)−0.07(0.05)0.00(0.04)0.00(0.02)0.50.1
    Urbanicity
        Major metro85.87(0.15)0.13(0.05)−0.04(0.05)0.18*(0.05)0.09(0.03)−0.15*(0.04)0.01(0.05)0.10(0.04)−0.04(0.03)7.7*10.0*
        Urban12.73(0.14)−0.14(0.05)0.06(0.05)−0.18*(0.05)−0.08(0.03)0.15*(0.04)−0.01(0.05)−0.10(0.04)0.04(0.03)8.0*9.8*
        Rural1.40(0.05)0.01(0.06)−0.05(0.04)0.00(0.07)−0.01(0.03)0.02(0.04)0.01(0.05)−0.01(0.04)0.01(0.03)0.20.3
    % of population below 1.5 of poverty line
        1st quartile (low % with low income)25.00(0.18)−0.08(0.06)−0.06(0.05)0.13(0.07)−0.03(0.03)0.04(0.04)−0.06(0.05)0.02(0.04)0.02(0.02)2.01.3
        2nd quartile25.00(0.18)−0.01(0.06)0.07(0.05)0.03(0.07)0.02(0.03)0.00(0.04)0.00(0.05)−0.05(0.04)−0.01(0.02)0.50.7
        3rd quartile25.00(0.18)0.00(0.06)0.04(0.05)−0.10(0.06)−0.01(0.03)−0.01(0.04)0.06(0.05)0.00(0.04)0.00(0.02)0.70.1
        4th quartile (high % with low income)25.00(0.18)0.09(0.06)−0.05(0.05)−0.06(0.07)0.01(0.03)−0.03(0.04)0.00(0.05)0.03(0.04)−0.01(0.02)1.20.2
    History of previously diagnosed mental disorders
        Depression47.99(0.21)0.00(0.06)−0.09(0.05)−0.09(0.07)−0.05(0.03)0.02(0.04)0.03(0.05)0.03(0.04)0.03(0.02)1.03.3
        Anxiety28.27(0.19)−0.04(0.06)−0.19*(0.04)0.00(0.07)−0.08(0.03)0.01(0.04)0.10(0.05)0.06(0.04)0.04(0.03)3.28.8*
        PTSD24.28(0.18)−0.12(0.05)−0.24*(0.04)−0.20*(0.06)−0.18*(0.03)0.07(0.04)0.09(0.05)0.13(0.04)0.09*(0.03)9.3*43.0*
        Adjustment disorder16.10(0.16)−0.05(0.06)−0.20*(0.04)0.00(0.07)−0.09(0.03)0.05(0.04)0.03(0.05)0.06(0.04)0.05(0.03)3.4*11.0*
        Other reactions to stress6.40(0.10)−0.04(0.05)−0.12(0.04)−0.05(0.06)−0.07(0.03)−0.01(0.04)0.09(0.06)0.08(0.05)0.04(0.03)2.26.3
        Substance17.62(0.16)−0.12(0.05)−0.17*(0.04)−0.13(0.06)−0.14*(0.03)0.03(0.04)0.00(0.05)0.18*(0.05)0.07(0.03)7.0*25.8*
        Other disorders18.84(0.17)−0.12(0.05)−0.21*(0.04)−0.01(0.07)−0.13*(0.03)0.04(0.04)0.07(0.05)0.11(0.04)0.07(0.03)5.8*22.6*
    Number of previously diagnosed mental disorders
        030.29(0.20)0.07(0.06)0.28*(0.05)0.11(0.07)0.15*(0.03)−0.07(0.04)−0.09(0.05)−0.08(0.04)−0.08*(0.02)7.6*29.9*
        122.00(0.18)0.09(0.06)0.03(0.05)−0.04(0.07)0.04(0.03)0.00(0.04)0.01(0.05)−0.09(0.04)−0.02(0.02)1.72.6
        221.34(0.17)−0.06(0.06)−0.09(0.04)0.10(0.07)−0.04(0.03)0.02(0.04)0.02(0.05)0.02(0.04)0.02(0.02)1.31.8
        3+26.38(0.19)−0.12(0.05)−0.26*(0.04)−0.17(0.06)−0.17*(0.03)0.05(0.04)0.07(0.05)0.16*(0.04)0.09*(0.03)9.9*41.7*
    Current depression treatment
        Primary58.16(0.21)0.27*(0.05)−0.38*(0.05)0.07(0.07)0.02(0.03)−0.04(0.04)0.04(0.05)0.02(0.04)−0.01(0.02)15.6*0.3
        Secondary with primary physical16.96(0.16)−0.24*(0.04)0.78*(0.06)0.02(0.07)0.14*(0.04)0.06(0.04)−0.22*(0.04)−0.22*(0.03)−0.07*(0.02)53.9*28.1*
        Secondary with primary other mental24.88(0.18)−0.09(0.05)−0.27*(0.04)−0.11(0.06)−0.15*(0.03)−0.01(0.04)0.16(0.06)0.18*(0.05)0.08(0.03)10.3*31.8*
    Treatment location, setting, and type
        Seen in community-based clinic57.15(0.21)0.01(0.06)−0.02(0.05)−0.04(0.07)−0.01(0.03)0.13*(0.04)−0.11(0.05)−0.14*(0.04)0.00(0.02)5.7*0.1
        Seen by primary care clinician39.64(0.21)−0.35*(0.05)0.78*(0.03)0.35*(0.07)0.16*(0.03)−0.16*(0.04)−0.05(0.05)0.03(0.04)−0.08*(0.02)60.5*34.9*
        Received psychotherapy‡89.29(0.20)0.34*(0.01)−1.44*(0.08)−0.21(0.08)−0.35*(0.04)0.35*(0.00)−0.03(0.05)0.02(0.04)0.18*(0.02)217.4*179.1*
        Received medication31.81(0.13)−0.72*(0.02)1.03*(0.03)0.74*(0.06)0.15*(0.03)−0.74*(0.01)0.79*(0.05)0.53*(0.04)−0.08*(0.02)656.1*31.8*
        Received PC-MHI treatment35.95(0.20)1.25*(0.03)−0.23*(0.04)0.87*(0.06)0.70*(0.03)−0.36*(0.03)−0.65*(0.02)−0.19*(0.04)−0.36*(0.02)367.4*878.2*
    • ADM, antidepressant medication; Est, standardized mean estimates; PC-MHI, primary care–mental health integration; PTSD, post-traumatic stress disorder; S.E., standard error.

    • ↵* Significant at the 0.05 level, 2-sided test, adjusted for false discovery rate.

    • ↵† Weighted to represent treatment distribution in population; estimates in the target column are in true metrics of the scales, whereas estimates in the other columns are based on standardized values of the row variables, with mean of 0 and variables of 1.0.

    • ↵‡ Either saw a mental health specialist or referred to mental health treatment.

    • View popup
    Table 3.

    Associations of Depression Severity with Setting and Type of Treatment (n = 2610)†

    TargetPrimary CareSpecialty Mental HealthF5F1
    Psychotherapy‡ (n = 290)ADM (n = 439)Combined (n = 219)Total (n = 948)Psychotherapy‡ (n = 697)ADM (n = 373)Combined (n = 592)Total (n = 1662)
    Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)
    QIDS-SR13.12(0.08)0.02(0.06)−0.18*(0.05)−0.06(0.07)−0.06(0.03)−0.09(0.04)0.06(0.05)0.22*(0.04)0.03(0.02)8.6*4.6
    HRSD (%)
        Mild29.54(0.89)0.00(0.06)0.09(0.05)−0.01(0.07)0.02(0.03)0.08(0.04)−0.06(0.05)−0.14*(0.04)−0.01(0.02)3.8*0.8
        Moderate33.80(0.93)0.03(0.06)0.10(0.05)0.03(0.07)0.05(0.03)−0.02(0.04)−0.02(0.05)−0.05(0.04)−0.03(0.02)1.03.7
        Severe20.81(0.79)−0.10(0.05)−0.09(0.04)−0.02(0.07)−0.08(0.03)0.00(0.04)0.10(0.06)0.06(0.04)0.04(0.03)2.38.3*
        Very severe15.85(0.71)0.07(0.06)−0.14*(0.04)0.00(0.07)−0.01(0.03)−0.08(0.03)−0.02(0.05)0.17*(0.05)0.01(0.02)5.7*0.2
    Years with depression (mean)9.74(0.22)0.06(0.07)−0.07(0.04)−0.08(0.06)−0.01(0.03)0.06(0.04)−0.09(0.05)−0.03(0.04)0.01(0.02)2.10.2
    Depression persistence (%)50.93(0.67)−0.08(0.06)−0.12(0.05)0.04(0.07)−0.06*(0.03)0.01(0.04)0.00(0.05)0.10(0.04)0.03(0.02)2.35.7
    Depression factors
        Depression severity0.00(0.02)−0.07(0.06)−0.20*(0.05)0.02(0.07)−0.09*(0.03)−0.07(0.04)0.11(0.05)0.22*(0.04)0.05(0.02)9.7*11.8*
        Positive mental health0.00(0.02)0.11(0.06)0.18*(0.05)0.04(0.06)0.12(0.03)0.04(0.04)−0.10(0.05)−0.21*(0.04)−0.06(0.02)8.8*19.1*
        Anhedonia0.00(0.02)−0.12(0.06)−0.09(0.05)0.04(0.07)−0.08(0.03)−0.03(0.04)0.07(0.05)0.14*(0.04)0.04(0.02)4.2*7.8*
        Cognitive difficulties0.00(0.02)−0.05(0.06)−0.16(0.05)−0.02(0.07)−0.08(0.03)−0.03(0.04)0.07(0.05)0.14(0.04)0.04(0.02)4.1*8.6*
        Rumination0.00(0.02)−0.06(0.05)−0.13(0.05)−0.09(0.07)−0.09(0.03)0.00(0.04)0.03(0.05)0.14(0.04)0.05(0.02)3.6*10.5*
        Dissociation0.00(0.02)−0.08(0.06)−0.13(0.05)0.02(0.07)−0.07(0.03)−0.02(0.04)0.06(0.05)0.13(0.04)0.04(0.02)3.4*7.7*
        Mixed episodes0.00(0.02)−0.01(0.06)−0.12(0.05)0.14(0.07)−0.02(0.03)0.00(0.04)0.01(0.05)0.01(0.04)0.01(0.02)1.70.4
    • ADM, antidepressant medication; Est, standardized mean estimates; HRSD, Hamilton Rating Scale for Depression; S.E., standard error.; QIDS-SR, Quick Inventory of Depressive Symptomatology Self-Report Scale.

    • ↵* Significant at the 0.05 level, 2-sided test, adjusted for false discovery rate.

    • ↵† Weighted to represent treatment distribution in population; Estimates in the target column are in true metrics of the scales, whereas estimates in the other columns are based on standardized values of the row variables, with mean of 0 and variables of 1.0.

    • ↵‡ Either saw a mental health specialist or referred to mental health treatment.

    • View popup
    Table 4.

    Associations of Comorbidity with Setting and Type of Treatment (n = 2610)†

    TargetPrimary CareSpecialty Mental HealthF5F1
    Psychotherapya (n = 290)ADM (n = 439)Combined (n = 219)Total (n = 948)Psychotherapya (n = 697)ADM (n = 373)Combined (n = 592)Total (n = 1662)
    Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)Est(S.E.)
    Presenting problems (weighted count‡)
        PTSD1.86(0.02)−0.10(0.06)−0.25*(0.05)−0.11(0.07)−0.15*(0.03)0.01(0.04)0.15(0.05)0.15*(0.04)0.08*(0.02)8.6*30.7*
        Other anxiety disorders§4.21(0.04)−0.13*(0.06)−0.07(0.05)−0.05(0.07)−0.09(0.03)−0.05(0.04)0.17*(0.05)0.15*(0.04)0.05(0.02)6.4*11.7*
        Substance Use Disorder0.36(0.02)−0.04(0.06)−0.12(0.04)−0.16(0.05)−0.09*(0.03)0.00(0.04)0.05(0.05)0.14*(0.05)0.05(0.03)4.1*11.7*
        Anger1.12(0.02)0.02(0.06)−0.18*(0.05)−0.08(0.07)−0.06(0.03)0.06(0.04)0.03(0.05)0.00(0.04)0.03(0.02)2.75.6
        Other emotional problems0.52(0.02)0.01(0.06)−0.06(0.05)−0.18(0.06)−0.05(0.03)0.02(0.04)0.01(0.05)0.04(0.04)0.03(0.02)1.63.6
        SSD0.00(0.02)0.03(0.06)−0.03(0.05)0.08(0.07)0.02(0.03)−0.07(0.04)−0.01(0.05)0.08*(0.04)−0.01(0.02)1.90.6
    Number of comorbid disorders¶
        022.76(0.82)0.03(0.06)0.24*(0.05)0.23(0.08)0.14*(0.04)−0.02(0.04)−0.13(0.05)−0.14*(0.04)−0.07*(0.02)8.7*28.0*
        132.17(0.91)0.06(0.06)−0.07(0.05)−0.06(0.07)−0.01(0.03)0.05(0.04)−0.03(0.05)−0.05(0.04)0.00*(0.02)1.50.1
        224.38(0.84)−0.01(0.06)−0.11(0.04)−0.09(0.06)−0.06(0.03)0.00(0.04)0.08(0.05)0.06(0.04)0.03(0.02)1.85.1
        3+20.69(0.79)−0.09(0.05)−0.05(0.05)−0.07(0.06)−0.07(0.03)−0.03(0.04)0.09(0.05)0.13(0.04)0.04(0.03)3.5*7.5*
    EMR mental disorders during recruitment
        Anxiety disorder26.79(0.87)0.02(0.06)−0.05(0.05)0.07(0.07)0.01(0.03)−0.13*(0.03)0.11(0.05)0.14*(0.04)0.00(0.02)6.3*0.1
        PTSD20.12(0.78)−0.16*(0.05)−0.12(0.04)−0.06(0.06)−0.13*(0.03)−0.03(0.04)0.15(0.06)0.18*(0.05)0.07(0.03)8.0*22.1*
        Adjustment disorder4.47(0.40)−0.06(0.05)−0.10(0.04)0.18(0.09)−0.02(0.03)−0.04(0.03)−0.02(0.05)0.11*(0.05)0.01(0.03)3.6*0.5
        Other reactions to stress4.12(0.39)0.08(0.07)−0.14*(0.03)−0.02(0.07)−0.01(0.03)0.01(0.04)−0.04(0.05)0.04(0.04)0.01(0.02)1.90.2
        Substance Use Disorder9.89(0.58)−0.12(0.05)−0.18*(0.03)−0.19*(0.05)−0.15*(0.02)0.00(0.04)0.09(0.06)0.21(0.05)0.08(0.03)9.4*32.0*
        Other mental disorders6.28(0.48)−0.07(0.05)−0.05(0.04)0.07(0.08)−0.04(0.03)−0.06(0.03)0.19(0.07)0.06(0.05)0.02(0.03)4.1*1.7
    Number of comorbid EMR disorders
        045.66(0.98)0.14(0.06)0.27*(0.05)−0.04(0.07)0.14*(0.03)0.11(0.04)−0.22*(0.05)−0.31*(0.04)−0.07(0.02)21.5*28.0*
        139.28(0.96)−0.07(0.06)−0.19*(0.04)0.05(0.07)−0.09(0.03)−0.05(0.04)0.13(0.05)0.15*(0.04)0.04(0.02)6.5*10.0*
        2+15.06(0.70)−0.09(0.05)−0.11(0.04)−0.01(0.07)−0.08(0.03)−0.09(0.03)0.13(0.06)0.22*(0.05)0.04(0.03)9.1*9.2*
    • ADM, antidepressant medication; EMR, electronic medical record; Est, standardized mean estimates; PTSD, post-traumatic stress disorder; S.E., standard error; SSD, somatic symptom disorder.

    • ↵* Significant at a 0.05 level, 2-sided test, adjusted for false discovery rate.

    • ↵† Weighted to represent treatment distribution in population; estimates in the target column are in true metrics of the scales, whereas estimates in the other columns are based on standardized values of the row variables, with mean of 0 and variables of 1.0.

    • ↵‡ Presenting problems are scored 3 for any primary problem, 2 for secondary and not primary problem, 1 for screening positive and not a primary or secondary problem, and 0 for none.

    • ↵§ Anxiety disorder scores range from 0 to 9 and include GAD, panic/phobias, and OCD.

    • ‖ Number of comorbid disorders was scored in the range 0-1 as the sum of: (1) PTSD as either a primary or secondary presenting problem or a score in the clinical range of a PTSD Checklist for DSM-5 (PCL-5) screening scale calibrated to the full PCL-5; (2) the quartile of the sample with the highest score of presenting problems for a range of other anxiety disorders as either primary (2 points) or secondary (1) point; (3) substance use disorder as either a primary or secondary presenting problem or a score in the clinical range on the PROMIS Alcohol/Substance Use Short Form-7a scale; (4) anger as either a primary or secondary presenting problem; (5) other emotional disorder as either a primary or secondary presenting problem; and (6) a score in the clinical range for a study-specific screening scale for DSM-5 somatic symptom disorder.

    • ↵¶ Either saw a mental health specialist or referred to mental health treatment.

    • View popup
    Appendix 1.

    ICD-9-CM1 and ICD-10-CM2 Mental and Behavioral Health Codes

    DisorderCodes
    Major depressionICD-9-CM codes: 296.2X, 296.3X, 300.4, 311
    ICD-10-CM codes: F32.XX (excluding F32.81 and F32.89), F33.XX
    Suicide attemptICD-9-CM codes: E950.X, E951.X, E952.X, E953.X, E954, E955.X, E956, E957.X
    ICD-10-CM codes: T14.91, T36.XX2, T37.XX2, T38.XX2, T39.XX2, T40.XX2, T41.XX2, T42.XX2, T43.XX2, T44.XX2, T45.XX, T46.XX2, T47.XX2, T48.XX2, T49.XX2, T50.XX2, T51.XX2, T52.XX2, T53.XX2, T54.XX2, T55.XX2, T56.XX2, T57.XX2, T58.XX2, T59.XX2, T60.XX2, T61.XX2, T62.XX2, T63.XX2, T64.XX2, T65.XX2, T71.1 × 2, T71.2 × 2
    Bipolar disorderICD-9-CM codes: 296.0X, 296.1X, 296.4X, 296.5X, 296.6X, 296.7, 296.80, 296.81, 296.89, 301.13
    ICD-10-CM codes: F30.X, F31.X, F34.0
    Nonaffective psychosisICD-9-CM codes: 293.81, 293.82, 293.89, 295.XX, 297.X, 298.X, 301.22
    ICD-10-CM codes: F06.0, F06.1, F20.XX, F21, F22, F23, F24, F25.X, F28, F29, F53
    DementiaICD-9-CM codes: 290.XX, 294.1X, 294.8
    ICD-10-CM codes: F01.XX, F01.XX, F03.XX
    Intellectual disabilitiesICD-9-CM codes: 317, 318, 319
    ICD-10-CM codes: F70, F71, F72, F73, F78, F79
    AutismICD-9-CM code: 299.XX
    ICD-10-CM code: F84.0
    Tourette's disorderICD-9-CM code: 307.23
    ICD-10-CM code: F95.2
    Stereotyped movement disordersICD-9-CM code: 307.3
    ICD-10-CM code: F98.4
    Borderline intellectual functioningICD-10-CM code: R41.83
    • ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification1; ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification.2

    • View popup
    Appendix 3.

    Brief Description of Machine Learning Algorithms Included in the SuperLearner Library

    AlgorithmR PackageDescription
    Regularization22glmnet
    • Penalized regression reduces overfit due to collinear independent variables

    Elastic net
    • Ridge regression shrinks coefficients for collinear independent variables toward zero but does not fully eliminate any independent variable

    • Elastic net regression allows various penalties where coefficients for collinear independent variables are shrunk toward zero (but not to eliminating contributions to the predicted probability) and/or to zero (eliminating their contributions to the predicted probability)

    • Mixing parameter penalty (alpha) is set somewhere between 0.01 and .99

    • Lasso regression shrinks coefficients for collinear covariate coefficients to zero, eliminating their contributions to the predicted probability

    Spline
    Adaptive splines23earth
    • Adaptive spline regression flexibly captures interactions and linear and nonlinear associations

    Adaptive polynomial splines24
    • Linear segments (splines) of varying slopes are connected and smoothed to create piecewise curves (basis functions)

    polspline
    • Final fit is built using a stepwise procedure that selects the optimal combination of basis functions

    • Earth and polymars are generally similar but differ in the order that basis functions (eg, linear vs nonlinear) are added to build the final model

    Decision trees
    Random forest25ranger
    • Decision tree methods capture interactions and nonlinear associations

    • Independent variables are partitioned (based on values) and stacked to build decision trees and assemble an aggregate “forest”

    • Random forest builds numerous trees in bootstrapped samples and generates an aggregate tree by averaging across trees (reducing overfit)

    • Suitable for large data sets but may be unstable and overfitting

    Gradient boosting26,27xgboost
    • Extreme gradient boosting decision tree algorithm.

    • Final predictions are formulated by models sequentially built (using gradient descent algorithm to minimize loss) to resolve residual error made by existing models

    Neural networks28nnet
    • Connections between predictors and the outcome are modeled as a network

    • Predictors affect the outcome through intermediate layers

    • Weights are assigned to connections

    • Capture interactions and nonlinear associations

    • Low interpretability

    • View popup
    Appendix 5.

    Factor Analysis (n = 2,169)†

    Seven-Factor Solution
    IIIIIIIVVVIVII
    I. Depression severity
        Sad0.59-0.23-0.01-0.130.020.06-0.18
        So sad nothing could cheer up0.62-0.17-0.07-0.100.010.13-0.16
        Not feeling much better when good things happen0.54-0.14-0.15-0.10-0.020.18-0.10
        Emotionally numb, empty, unable to feel0.50-0.08-0.19-0.07-0.050.24-0.05
        Excessively guilty or self-blaming0.40-0.270.09-0.100.180.09-0.01
        Helpless0.45-0.400.13-0.100.020.13-0.08
        Irritable0.750.03-0.110.03-0.10-0.150.13
        Extremely irritable0.740.04-0.120.05-0.10-0.090.19
        Worried and anxious0.75-0.060.090.080.05-0.09-0.07
        Difficulty concentrating because of worry0.68-0.020.050.260.06-0.070.00
        Keyed up or tense0.800.080.000.120.01-0.090.03
        Unusually restless0.780.12-0.010.09-0.02-0.070.13
        Might lose control0.54-0.110.060.06-0.030.120.18
        Fearing something awful0.50-0.170.090.020.070.090.08
    II. Positive mental health
        Less worthwhile than other people0.39-0.450.07-0.140.100.08-0.04
        Coped well with normal stresses-0.070.51-0.02-0.280.020.110.00
        Able to bounce back from stressful situations-0.050.54-0.02-0.260.030.110.03
        Can keep from feeling depressed-0.130.590.05-0.070.060.090.06
        Satisfied with life0.050.830.050.090.05-0.060.03
        Felt life was fulfilling0.090.840.070.120.05-0.050.01
        Engaged with life rather than hiding from it0.070.720.10-0.070.07-0.06-0.02
        Felt mentally healthy-0.170.540.01-0.230.010.080.11
        Felt in control of emotions-0.170.57-0.05-0.210.060.08-0.06
        Had a general sense of well-being-0.080.740.00-0.090.080.010.07
        Had a positive outlook on life0.030.850.070.040.070.000.06
        Had the desire to do things0.000.550.22-0.130.070.010.06
        Felt confident-0.040.690.02-0.160.020.040.14
        Great faith in the future0.100.840.080.090.08-0.030.07
        Expect to succeed0.090.810.03-0.010.090.010.09
        Future seemed dark0.09-0.580.03-0.130.040.130.01
        Felt you don't get the breaks0.04-0.580.03-0.100.030.120.22
        Equally worthwhile/deserving as other people-0.010.49-0.03-0.00-0.15-0.04-0.02
        Ask “What could I have done to deserve this?”0.01-0.410.06-0.030.36-0.010.28
    III. Anhedonia: unable to experience pleasure when…
        having favorite food or drinks-0.030.030.74-0.01-0.060.03-0.04
        spending leisure time with friends-0.070.070.780.02-0.030.02-0.06
        doing favorite hobbies or pastimes-0.040.050.78-0.03-0.060.05-0.01
        spending quality time with close loved ones0.010.100.770.03-0.07-0.02-0.01
        having big success at work, school, or in finances0.060.060.72-0.08-0.04-0.03-0.02
    IV. Cognitive difficulties
        Problems with concentration/decision-making0.15-0.030.030.610.030.03-0.07
        Feeling slowed down0.010.090.010.620.000.24-0.04
        Low energy level0.10-0.02-0.050.490.050.07-0.09
        Mind as sharp as usual-0.010.100.13-0.670.07-0.040.02
        Memory much worse than usual0.060.000.050.590.020.11-0.05
        Thinking as fast as usual0.140.100.16-0.660.01-0.030.03
        Not able to keep track of activities0.080.070.060.560.000.080.04
    V. Rumination
        Analyze recent events to understand why depressed0.020.15-0.05-0.020.80-0.02-0.13
        Think about why depressed0.060.06-0.12-0.040.690.07-0.06
        Write down your thoughts and analyze them-0.010.27-0.030.050.550.11-0.20
        Analyze personality to understand why depressed-0.040.19-0.10-0.030.830.01-0.14
        Ask “Why do I always react this way?”0.00-0.240.010.100.56-0.090.26
    VI. Dissociation
        Feeling not real or cut off from the world0.09-0.17-0.050.000.060.640.08
        Feeling outside of body, watching yourself-0.01-0.020.050.140.010.800.07
        Feeling like surroundings detached or unreal0.000.000.000.180.000.820.06
        Feeling surroundings dreamlike, distant, or distorted-0.020.010.020.190.000.820.08
    VII. Mixed episodes
        Much better mood, happier, excitable than usual-0.110.150.03-0.06-0.020.040.66
        Extremely self-confident or optimistic, could do anything-0.010.32-0.07-0.11-0.020.050.62
        Mood changed rapidly: very happy, very sad, very angry0.29-0.02-0.070.00-0.130.050.60
        More talkative than usual0.010.050.020.00-0.110.100.70
        Thoughts raced through mind so fast hardly kept track0.300.04-0.020.130.000.110.45
        Much more engaged, busy, productive than usual0.100.21-0.06-0.13-0.02-0.010.66
    • ↵† Principal axis factor analysis. The parallel analysis simulation method was used to determine the number of factors to extract.29 Promax rotation was used to improve interpretability.

    • View popup
    Appendix 6.

    Correlations Among Factors in Promax Rotated Factor Solution

    Factors
    IIIIIIIVVVIVII
    Depression severity1.00
    Positive mental health-0.531.00
    Anhedonia-0.240.401.00
    Cognitive difficulties0.44-0.40-0.281.00
    Rumination0.33-0.170.100.151.00
    Dissociation0.42-0.23-0.160.160.241.00
    Mixed episodes0.170.160.210.090.270.161.00
    • View popup
    Appendix 7.

    AUC of 10-fold Externally Cross-Validated SuperLearner Models†

    AUC (95% CI)
    I. Primary care
        Primary care versus specialty mental health0.645 (0.623, 0.668)
        Psychotherapy versus total sample0.550 (0.520, 0.580)
        Medication versus total sample0.684 (0.649, 0.718)
        Combined versus total sample0.530 (0.487, 0.572)
        Any primary care versus total sample0.574 (0.552, 0.595)
    III. Specialty mental health
        Psychotherapy versus total sample0.534 (0.511, 0.556)
        Medication versus total sample0.572 (0.539, 0.604)
        Combined versus total sample0.602 (0.576, 0.627)
        Any specialty mental health versus total sample0.500 (0.483, 0.518)
    • AUC, area under the ROC curve; 95% CI, 95% confidence interval.

    • ↵† See Appendix 3 for the list of classifiers.

    • View popup
    Appendix 8.

    Comparison of Primary Problems and Diagnoses between Analytic Sample and Those Who Did Not Report Depression as a Problem

    Analytic Sample (n = 2610)No Self-Reported Depression (n = 471)
    %(S.E.)%(S.E.)
    Primary presenting problems
        Depression71.79(0.88)0.00—
        Anxiety disorder49.69(0.98)22.17(1.89)
        PTSD42.45(0.97)20.52(1.84)
        Substance use disorder4.81(0.42)2.42(0.70)
        Anger15.48(0.71)7.13(1.17)
        Other emotional problems11.38(0.62)10.45(1.39)
    Primary EMR diagnosis
        Depression60.11(0.96)58.40(2.24)
        Anxiety disorder8.79(0.55)9.70(1.35)
        PTSD11.94(0.63)13.83(1.57)
        Adjustment disorder2.71(0.32)1.97(0.63)
        Other reactions to stress1.96(0.27)0.64(0.36)
        Substance use disorder1.97(0.27)4.70(0.96)
        Other mental disorders2.12(0.28)3.51(0.84)
    • EMR, electronic medical record; PTSD, post-traumatic stress disorder; S.E., standard error.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 34 (2)
The Journal of the American Board of Family Medicine
Vol. 34, Issue 2
March/April 2021
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Treatment Differences in Primary and Specialty Settings in Veterans with Major Depression
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
3 + 2 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Treatment Differences in Primary and Specialty Settings in Veterans with Major Depression
Victor Puac-Polanco, Lucinda B. Leung, Robert M. Bossarte, Corey Bryant, Janelle N. Keusch, Howard Liu, Hannah N. Ziobrowski, Wilfred R. Pigeon, David W. Oslin, Edward P. Post, Ronald C. Kessler
The Journal of the American Board of Family Medicine Mar 2021, 34 (2) 268-290; DOI: 10.3122/jabfm.2021.02.200475

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Treatment Differences in Primary and Specialty Settings in Veterans with Major Depression
Victor Puac-Polanco, Lucinda B. Leung, Robert M. Bossarte, Corey Bryant, Janelle N. Keusch, Howard Liu, Hannah N. Ziobrowski, Wilfred R. Pigeon, David W. Oslin, Edward P. Post, Ronald C. Kessler
The Journal of the American Board of Family Medicine Mar 2021, 34 (2) 268-290; DOI: 10.3122/jabfm.2021.02.200475
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Conclusions
    • Acknowledgments
    • Appendix
    • Appendix 2. Self-Report Measures of Depression and Psychiatric Comorbidity
    • Appendix
    • Appendix
    • Appendix
    • Appendix
    • Appendix
    • Appendix
    • Notes
    • References
    • References for Appendices
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Health of Veterans--Strengths and Challenges
  • Google Scholar

More in this TOC Section

  • Regional Variation in Scope of Practice by Family Physicians
  • Successful Implementation of Integrated Behavioral Health
  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
Show more Original Research

Similar Articles

Keywords

  • Comorbidity
  • Depression
  • Integrated Health Care Systems
  • Mental Health Services
  • Military Medicine
  • Primary Health Care
  • Psychotherapy
  • Self-Report
  • Veterans Health

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire