Evidence map›Paper›PMID 18173835›Full record

ArticleBMC family practice2008

Depression symptomatology and diagnosis: discordance between patients and physicians in primary care settings.

Chizobam Ani, Mohsen Bazargan, David Hindman, Douglas Bell, Muhammad A Farooq, Lutful Akhanjee, Francis Yemofio, Richard Baker, Michael Rodriguez

Abstract read
In one paragraph

Article in BMC family practice, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Hospice caregiver depression: the evidence surrounding the greatest pain of all.Journal of social work in end-of-life & palliative care · 2013
    Pooled it
  2. Trial
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  18. Discordance between patient and clinician reports of adverse reactions to MDR-TB treatment.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2016
    Article
  19. Substance Use Correlates of Depression among African American Male Inmates.Journal of health care for the poor and underserved · 2016
    Article
  20. 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

9 authors.

Chizobam AniFamily Medicine Department Charles R Drew University of Medicine and Science, 2594 Industryway, Lynwood, CA 90262, USA. cani@cdrewu.edu
Mohsen Bazargan
David Hindman
Douglas Bell
Muhammad A Farooq
Lutful Akhanjee
Francis Yemofio
Richard Baker
Michael Rodriguez

Funding

RESEARCH INFORMATICS COREG12RR003026 · NCRR · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI BAKER, RICHARD S. · 1986 to 2004
$11.5M
DREW/UCLA Project Export CenterP20MD000148 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHAPIRO, MARTIN F · 2002 to 2006
$3.6M
Drew Minority Research Infrastructure Support ProgramR24HS014022 · AHRQ · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI BAKER, RICHARD S. · 2004 to 2006
$348k
AHRQ HHS 1R24-HS014022-01A1AHRQ HHS R24 HS014022NCRR NIH HHS G12 RR003026NCRR NIH HHS G12-RR03026NIMHD NIH HHS 20MD000148NIMHD NIH HHS P20 MD000148
6 · The paper itself

Abstract

backgroundTo examine the agreement between depression symptoms using an assessment tool (PHQ-9), and physician documentation of the same symptoms during a clinic visit, and then to examine how the presence of these symptoms affects depression diagnosis in primary care settings.

methodsInterviewer administered surveys and medical record reviews. A total of 304 participants were recruited from 2321 participants screened for depression at two large urban primary care community settings.

resultsOf the 2321 participants screened for depression 304 were positive for depression and of these 75.3% (n = 229) were significantly depressed (PHQ-9 score > or = 10). Of these, 31.0% were diagnosed by a physician with a depressive disorder. A total of 57.6% (n = 175) of study participants had both significant depression symptoms and functional impairment. Of these 37.7% were diagnosed by physicians as depressed. Cohen's Kappa analysis, used to determine the agreement between depression symptoms elicited using the PHQ-9 and physician documentation of these symptoms showed only slight agreement (0.001-0.101) for all depression symptoms using standard agreement rating scales. Further analysis showed that only suicidal ideation and hypersomnia or insomnia were associated with an increased likelihood of physician depression diagnosis (OR 5.41 P sig < .01 and (OR 2.02 P sig < .05 respectively). Other depression symptoms and chronic medical conditions had no affect on physician depression diagnosis.

conclusionTwo-thirds of individuals with depression are undiagnosed in primary care settings. While functional impairment increases the rate of physician diagnosis of depression, the agreement between a structured assessment and physician elicited and or documented symptoms during a clinical encounter is very low. Suicidality, hypersomnia and insomnia are associated with an increase in the rate of depression diagnosis even when physician and self report of the symptom differ. Interventions that emphasize the use of routine structured screening of primary care patients might also improve the rate of diagnosis of depression in these settings. Further studies are needed to explore depression symptom assessment during physician patient encounter in primary care settings.

Indexed as

Diagnostic ErrorsMedical AuditAgedCaliforniaDepressive DisorderDisorders of Excessive SomnolenceDocumentationFemaleHumansInterviews as TopicMaleMiddle AgedPain MeasurementPrimary Health CareSleep Initiation and Maintenance DisordersSuicide

Identifiers

PMID18173835
PMCPMC2254627

What OpenQuestion holds

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LicenceCC BY
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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.