Evidence map›Paper›PMID 19564219›Full record

ArticlePsychiatric services (Washington, D.C.)2009

Dropout from outpatient mental health care in the United States.

Mark Olfson, Ramin Mojtabai, Nancy A Sampson, Irving Hwang, Benjamin Druss, Philip S Wang, Kenneth B Wells, Harold Alan Pincus, Ronald C Kessler

Abstract readComparative Study
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Social inequalities in antidepressant treatment outcomes: a systematic review.Social psychiatry and psychiatric epidemiology · 2020
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  5. The Positive Approach to the Psychiatric Assessment: A Randomized Trial of a Novel Interviewing Technique.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2024
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  17. Language-dependent expression of anxiety and depression symptoms in Japanese-English bilinguals.Clinical psychological science : a journal of the Association for Psychological Science · 2026
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  18. Review
  19. Article
  20. Review

45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mark OlfsonNew York State Psychiatric Institute, USA.
Ramin Mojtabai
Nancy A Sampson
Irving Hwang
Benjamin Druss
Philip S Wang
Kenneth B Wells
Harold Alan Pincus
Ronald C Kessler

Funding

EPIDEMIOLOGY-- NATIONAL COMORBIDITY SURVEY REPLICATIONU01MH060220 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 1999 to 2010
$18.7M
Risk Factors for Psychopathology in the WHO WMH SurveysR01MH070884 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2005 to 2009
$6.0M
Social Role Disability and Mental-Physical Co-MorbidityR01MH069864 · NIMH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI VON KORFF, MICHAEL R · 2004 to 2007
$2.2M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
Drug Dependence Epidemiology and EnviromicsK05DA015799 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2015
$1.4M
World Mental Health Consortium Annual Meeting 2003-07R13MH066849 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEERINGA, STEVEN G · 2003 to 2007
$735k
World Mental Health Consortium Annual Meetings 2008-2012U13MH066849 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEERINGA, STEVEN G · 2008 to 2012
$647k
Lebanon-Epidemiology: The NCS Replication StudyR03TW006481 · FIC · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2004 to 2006
$142k
FIC NIH HHS R03 TW006481FIC NIH HHS R03-TW006481NIDA NIH HHS DA 044780NIDA NIH HHS K05 DA015799NIDA NIH HHS R01 DA016558NIDA NIH HHS R01-DA016558NIMH NIH HHS R01 MH069864NIMH NIH HHS R01-MH069864NIMH NIH HHS R01 MH070884NIMH NIH HHS R01-MH070884NIMH NIH HHS R13 MH066849NIMH NIH HHS R13-MH066849NIMH NIH HHS U01 MH060220NIMH NIH HHS U01-MH60220NIMH NIH HHS U13 MH066849
6 · The paper itself

Abstract

objectiveAlthough mental health treatment dropout is common, patterns and predictors of dropout are poorly understood. This study explored patterns and predictors of mental health treatment dropout in a nationally representative sample.

methodsData were from the National Comorbidity Survey Replication, a nationally representative household survey. Respondents who had received mental health treatment in the 12 months before the interview (N=1,664) were asked about dropout, which was defined as quitting treatment before the provider wanted them to stop. Cross-tabulation and discrete-time survival analyses were used to identify predictors.

resultsApproximately one-fifth (22%) of patients quit treatment prematurely. The highest dropout rate was from treatment received in the general medical sector (32%), and the lowest was from treatment received by psychiatrists (15%). Dropout rates were intermediate from treatment in the human services sector (20%) and among patients seen by nonpsychiatrist mental health professionals (19%). Over 70% of all dropout occurred after the first or second visits. Mental health insurance was associated with low odds of dropout (odds ratio=.6, 95% confidence interval=.4-.9). Psychiatric comorbidity was associated with a trend toward dropout. Several patient characteristics differentially predicted dropout across treatment sectors and in early and later phases of treatment.

conclusionsRoughly one-fifth of adults in mental health treatment dropped out before completing the recommended course of treatment. Dropout was most common in the general medical sector and varied by patient characteristics across treatment sectors. Interventions focused on high-risk patients and sectors that have higher dropout rates will likely be required to reduce the large proportion of patients who prematurely terminate treatment.

Indexed as

AdolescentAdultAge FactorsAlcoholismAmbulatory CareComorbidityComplementary TherapiesCross-Sectional StudiesEthnicityFemaleHealth SurveysHumansInsurance, PsychiatricMaleMental DisordersMiddle Aged

Identifiers

PMID19564219
PMCPMC2774713

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.