Evidence map›Paper›PMID 25956666›Full record

ReviewGeneral hospital psychiatry

Models for treating depression in specialty medical settings: a narrative review.

Jessica Y Breland, Joseph Mignogna, Lea Kiefer, Laura Marsh

Abstract readReview
In one paragraph

Review in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Parkinson's Disease: Cognitive Impairment.Focus (American Psychiatric Publishing) · 2017
    Review
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

4 authors.

Jessica Y BrelandCenter for Innovation to Implementation, VA Palo Alto Healthcare System, 795 Willow Road (152-MPD), Menlo Park, CA 94025; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd, Stanford, CA 94304. Electronic address: breland@stanford.edu.
Joseph MignognaHouston VA Health Services Research and Development Center for Innovations in Quality, Effectiveness and Safety, (MEDVAMC 152), 2002 Holcombe Blvd., Houston, TX 77030; Baylor College of Medicine, One Baylor Plaza, BCM 350, Houston, TX 77030; Veterans Affairs South Central Mental Illness Research, Education, and Clinical Center (a virtual center); Department of Veterans Affairs, VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX; Central Texas VA Health Care System, Waco, TX. Electronic address: joseph.mignogna@va.gov.
Lea KieferHouston VA Health Services Research and Development Center for Innovations in Quality, Effectiveness and Safety, (MEDVAMC 152), 2002 Holcombe Blvd., Houston, TX 77030; Veterans Affairs South Central Mental Illness Research, Education, and Clinical Center (a virtual center). Electronic address: lea.kiefer@va.gov.
Laura MarshMental Health Care Line, Michael E, DeBakey VA Medical Center (MEDVAMC 116), 2002 Holcombe Blvd., Houston, TX 77030; Baylor College of Medicine, One Baylor Plaza, BCM 350, Houston, TX 77030; Veterans Affairs South Central Mental Illness Research, Education, and Clinical Center (a virtual center). Electronic address: laura.marsh2@va.gov.

Funding

Methods of Optimal Depression Detection in Parkinson'sR01MH069666 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MARSH, LAURA · 2004 to 2009
$2.3M
NIMH NIH HHS R01 MH069666
6 · The paper itself

Abstract

objectiveThis review answered two questions: (a) what types of specialty medical settings are implementing models for treating depression, and (b) do models for treating depression in specialty medical settings effectively treat depression symptoms?

methodWe searched Medline/Pubmed to identify articles, published between January 1990 and May 2013, reporting on models for treating depression in specialty medical settings. Included studies had to have adult participants with comorbid medical conditions recruited from outpatient, nonstandard primary care settings. Studies also had to report specific, validated depression measures.

resultsSearch methods identified nine studies (six randomized controlled trials, one nonrandomized controlled trial and two uncontrolled trials), all representing integrated care for depression, in three specialty settings (oncology, infectious disease, neurology). Most studies (N=7) reported greater reductions in depression among patients receiving integrated care compared to usual care, particularly in oncology clinics.

conclusionsIntegrated care for depression in specialty medical settings can improve depression outcomes. Additional research is needed to understand the effectiveness of incorporating behavioral and/or psychological treatments into existing methods. When developing or selecting a model for treating depression in specialty medical settings, clinicians and researchers will benefit from choosing specific components and measures most relevant to their target populations.

Indexed as

ComorbidityCooperative BehaviorDelivery of Health CareDepressionDepressive DisorderHIV InfectionsHumansMultiple SclerosisNeoplasmsPatient-Centered CareCancerDepressionHIV/AIDSIntegrated careMultiple sclerosis

Identifiers

PMID25956666
PMCPMC4457676

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.