Evidence map›Paper›PMID 22967728›Full record

Trial reportBMC research notes2012

The explanatory models of depression and anxiety in primary care: a qualitative study from India.

Gracy Andrew, Alex Cohen, Shruti Salgaonkar, Vikram Patel

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC research notes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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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.

Gracy AndrewSangath, Goa, India. gracyandrew@gmail.com
Alex Cohen
Shruti Salgaonkar
Vikram Patel

Funding

Wellcome Trust 091834
6 · The paper itself

Abstract

backgroundThe biggest barrier to treatment of common mental disorders in primary care settings is low recognition among health care providers. This study attempts to explore the explanatory models of common mental disorders (CMD) with the goal of identifying how they could help in improving the recognition, leading to effective treatment in primary care.

resultsThe paper describes findings of a cross sectional qualitative study nested within a large randomized controlled trial (the Manas trial). Semi structured interviews were conducted with 117 primary health care attendees (30 males and 87 females) suffering from CMD. Main findings of the study are that somatic phenomena were by far the most frequent presenting problems; however, psychological phenomena were relatively easily elicited on probing. Somatic phenomena were located within a biopsychosocial framework, and a substantial proportion of informants used the psychological construct of 'tension' or 'worry' to label their illness, but did not consider themselves as suffering from a 'mental disorder'. Very few gender differences were observed in the descriptions of symptoms but at the same time the pattern of adverse life events and social difficulties varied across gender.

conclusionOur study demonstrates how people present their illness through somatic complaints but clearly link their illness to their psychosocial world. However they do not associate their illness to a 'mental disorder' and this is an important phenomenon that needs to be recognized in management of CMD in primary settings. Our study also elicits important gender differences in the experience of CMD.

Indexed as

Qualitative ResearchAdultAgedAnxiety DisordersCase-Control StudiesCross-Sectional StudiesDepressive DisorderEmotionsFemaleHumansIndiaMaleMiddle AgedModels, PsychologicalPrimary Health CareSex Factors

Identifiers

PMID22967728
PMCPMC3477101

What OpenQuestion holds

Textmetadata
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.