Literature DB >> 33832996

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

Victor Puac-Polanco1, Lucinda B Leung1, Robert M Bossarte1, Corey Bryant1, Janelle N Keusch1, Howard Liu1, Hannah N Ziobrowski1, Wilfred R Pigeon1, David W Oslin1, Edward P Post1, Ronald C Kessler2.   

Abstract

INTRODUCTION: The Veterans Health Administration (VHA) supports the nation's largest primary care-mental health integration (PC-MHI) collaborative care model to increase treatment of mild to moderate common mental disorders in primary care (PC) and refer more severe-complex cases to specialty mental health (SMH) settings. It is unclear how this treatment assignment works in practice.
METHODS: Patients (n = 2610) who sought incident episode VHA treatment for depression completed a baseline self-report questionnaire about depression severity-complexity. Administrative data were used to determine settings and types of treatment during the next 30 days.
RESULTS: Thirty-four percent (34.2%) of depressed patients received treatment in PC settings, 65.8% in SMH settings. PC patients had less severe and fewer comorbid depressive episodes. Patients with lowest severity and/or complexity were most likely to receive PC antidepressant medication treatment; those with highest severity and/or complexity were most likely to receive combined treatment in SMH settings. Assignment of patients across settings and types of treatment was stronger than found in previous civilian studies but less pronounced than expected (cross-validated AUC = 0.50-0.68). DISCUSSION: By expanding access to evidence-based treatments, VHA's PC-MHI increases consistency of treatment assignment. Reasons for assignment being less pronounced than expected and implications for treatment response will require continued study. © Copyright 2021 by the American Board of Family Medicine.

Entities:  

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

Mesh:

Year:  2021        PMID: 33832996      PMCID: PMC8439361          DOI: 10.3122/jabfm.2021.02.200475

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  40 in total

1.  Primary care-mental health integration in healthcare in the Department of Veterans Affairs.

Authors:  Andrew S Pomerantz; Steven L Sayers
Journal:  Fam Syst Health       Date:  2010-06       Impact factor: 1.950

2.  The influence of patients' preference/attitude towards psychotherapy and antidepressant medication on the treatment of major depressive disorder.

Authors:  Latif Moradveisi; Marcus Huibers; Fritz Renner; Arnoud Arntz
Journal:  J Behav Ther Exp Psychiatry       Date:  2013-10-15

3.  Client preferences affect treatment satisfaction, completion, and clinical outcome: a meta-analysis.

Authors:  Oliver Lindhiem; Charles B Bennett; Christopher J Trentacosta; Caitlin McLear
Journal:  Clin Psychol Rev       Date:  2014-06-16

4.  The Role of Primary Care Experiences in Obtaining Treatment for Depression.

Authors:  Audrey L Jones; Maria K Mor; Gretchen L Haas; Adam J Gordon; John P Cashy; James H Schaefer; Leslie R M Hausmann
Journal:  J Gen Intern Med       Date:  2018-06-08       Impact factor: 5.128

5.  The influence of patient preference on depression treatment in primary care.

Authors:  Patricia Lin; Duncan G Campbell; Edmund F Chaney; Chuan-Fen Liu; Patrick Heagerty; Bradford L Felker; Susan C Hedrick
Journal:  Ann Behav Med       Date:  2005-10

6.  The prevalence and trend of depression among veterans in the United States.

Authors:  Ying Liu; Candice Collins; Kesheng Wang; Xin Xie; Ronghai Bie
Journal:  J Affect Disord       Date:  2018-11-05       Impact factor: 4.839

7.  Equity in veterans' mental health care: Veterans Affairs medical center clinics versus community-based outpatient clinics.

Authors:  JoAnn E Kirchner; Richard R Owen; Nancy Dockter; Teresa L Kramer; Kathy Henderson; Tracey Armitage; Elise Allee
Journal:  Am J Med Qual       Date:  2008-01-29       Impact factor: 1.852

8.  The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression.

Authors:  A John Rush; Madhukar H Trivedi; Hicham M Ibrahim; Thomas J Carmody; Bruce Arnow; Daniel N Klein; John C Markowitz; Philip T Ninan; Susan Kornstein; Rachel Manber; Michael E Thase; James H Kocsis; Martin B Keller
Journal:  Biol Psychiatry       Date:  2003-09-01       Impact factor: 13.382

9.  Veterans Health Administration Investments In Primary Care And Mental Health Integration Improved Care Access.

Authors:  Lucinda B Leung; Lisa V Rubenstein; Jean Yoon; Edward P Post; Erin Jaske; Kenneth B Wells; Ranak B Trivedi
Journal:  Health Aff (Millwood)       Date:  2019-08       Impact factor: 6.301

10.  Social determinants of mental health care systems: intensive community based Care in the Veterans Health Administration.

Authors:  Ish P Bhalla; Elina A Stefanovics; Robert A Rosenheck
Journal:  BMC Public Health       Date:  2020-08-28       Impact factor: 3.295

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  2 in total

1.  Development of a model to predict psychotherapy response for depression among Veterans.

Authors:  Hannah N Ziobrowski; Ruifeng Cui; Eric L Ross; Howard Liu; Victor Puac-Polanco; Brett Turner; Lucinda B Leung; Robert M Bossarte; Corey Bryant; Wilfred R Pigeon; David W Oslin; Edward P Post; Alan M Zaslavsky; Jose R Zubizarreta; Andrew A Nierenberg; Alex Luedtke; Chris J Kennedy; Ronald C Kessler
Journal:  Psychol Med       Date:  2022-02-11       Impact factor: 10.592

2.  Are Veterans Getting Their Preferred Depression Treatment? A National Observational Study in the Veterans Health Administration.

Authors:  Lucinda B Leung; Hannah N Ziobrowski; Victor Puac-Polanco; Robert M Bossarte; Corey Bryant; Janelle Keusch; Howard Liu; Wilfred R Pigeon; David W Oslin; Edward P Post; Alan M Zaslavsky; Jose R Zubizarreta; Ronald C Kessler
Journal:  J Gen Intern Med       Date:  2021-10-06       Impact factor: 6.473

  2 in total

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