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Depressive disorders in primary care

Overview of attention for article published in Journal of General Internal Medicine, January 1995
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
102 Mendeley
Title
Depressive disorders in primary care
Published in
Journal of General Internal Medicine, January 1995
DOI 10.1007/bf02599568
Pubmed ID
Authors

John W. Williams, Caroline A. Kerber, Cynthia D. Mulrow, Anna Medina, Christine Aguilar

Abstract

To assess the relative prevalence of subsyndromal depression (SubD) and major depression (MDD) in primary care patients and describe their associated functional impairments, and to define the operating characteristics of a short depression screen (SDS). Three primary care clinics: a university-affiliated Veterans Affairs clinic, a county general internal medicine clinic, and a community health center. Randomly selected adult patients (n = 221), aged > or = 30 years, with no history of psychiatric comorbidity, current substance abuse, major depressive disorder, chronic pain disorder, or dementia. The SDS and the Medical Outcomes Study Short Form 36 (SF-36) were interviewer-administered by an experienced bilingual research assistant to all subjects in the language of their choice. A physician administered independently the Structured Clinical Interview for DSM-III diagnosis (SCID) and the Hamilton Depression Rating Scale (HDRS) to all patients who exceeded a minimum threshold on the SDS and to a randomly selected sample of patients who had subthreshold scores. MDD was defined by DSM-III criteria and SubD was defined as two to four DSM-III criteria, of which one had to be depressed mood or anhedonia. Demographic and clinical characteristics of the patients were: Mexican American 53%, non-Hispanic white 38%, and African American 9%; men 68%; mean age 60 +/- 12.7 years; mean level of education 9.5 +/- 4.4 years; and hypertension 57%, diabetes mellitus 51%, and arthritis 45%. The prevalences of MDD and SubD (adjusted for sampling strategy) were 4% and 16%, respectively. For the patients who had MDD, the median HDRS score was 17 (interquartile range, 10-18), and for those who had SubD, the median HDRS score was 9 (interquartile range, 8-14). Compared with the patients who did not have depressive symptoms, those who had either MDD or SubD were significantly impaired in multiple domains of self-reported function. The sensitivity and specificity of the SDS for MDD were 100% (95% CI 57-100) and 72% (95% CI 63-81), respectively. For depressive disorders (MDD or SubD), the sensitivity was 66% (95% CI 49-83) and the specificity was 79% (95% CI 69-89). SubD was more prevalent than MDD in these primary care settings. Both MDD and SubD were associated with significant functional impairment. The sensitivity of the SDS was lower for identifying depressive disorders (MDD or SubD) than it was for identifying MD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 <1%
Saudi Arabia 1 <1%
Unknown 98 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Student > Master 12 12%
Researcher 11 11%
Student > Bachelor 10 10%
Professor 6 6%
Other 24 24%
Unknown 20 20%
Readers by discipline Count As %
Medicine and Dentistry 29 28%
Psychology 15 15%
Social Sciences 7 7%
Nursing and Health Professions 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 12 12%
Unknown 30 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2024.
All research outputs
#5,033,437
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#3,124
of 7,806 outputs
Outputs of similar age
#6,538
of 78,791 outputs
Outputs of similar age from Journal of General Internal Medicine
#3
of 10 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 78,791 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.