Evidence map›Paper›PMID 28904815›Full record

ArticleBJPsych open2017

Predictors, help-seeking behaviour and treatment coverage for depression in adults in Sehore district, India.

Rahul Shidhaye, Tanica Lyngdoh, Vaibhav Murhar, Sandesh Samudre, Thomas Krafft

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJPsych open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

18 citing papers in PubMed, 43 citations in OpenAlex.

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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

5 authors at 5 institutions in 4 countries.

Rahul Shidhaye, MD, Associate Professor, Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India; CAPHRI (Care and Public Health Research Institute), Maastricht University, Maastricht, The Netherlands, and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Tanica Lyngdoh, MD, MSc, PhD, Associate Professor, Indian Institute of Public Health Delhi, Public Health Foundation of India, New Delhi, India.
Vaibhav Murhar, MA (Applied Psychology), MSW, Project Director (PRIME), Sangath, Bhopal, India.
Sandesh Samudre, MPH, Senior Research Associate, Center for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India, and Institute of Psychiatry, Psychology and Neuroscience, Health Services and Population Research Department, King's College London, London, UK.
Thomas Krafft, PhD, Professor, CAPHRI (Care and Public Health Research Institute), Maastricht University, Maastricht, The Netherlands, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China, and Institute of Environment Education and Research, Bharati Vidyapeeth University, Pune, India.
Institute of Geographic Sciences and Natural Resources Research · CNInstitute of Public Health · INMaastricht University · NLPublic Health Foundation of India · INSangath · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational Mental Health Survey found that in India, the point prevalence of major depressive disorder (MDD) was 2.7% and the treatment gap was 85.2%, whereas in Madhya Pradesh the point prevalence of MDD was 1.4% and the treatment gap was 80%.

aimsTo describe the baseline prevalence of depression among adults, association of various demographic and socioeconomic variables with depression and estimation of contact coverage for the same.

methodPopulation-based cross-sectional survey of 3220 adults in Sehore district of Madhya Pradesh, India. The outcome of interest was a probable diagnosis of depression that was measured using the Patient Health Questionnaire (PHQ-9) and the proportion of individuals with depression (PHQ-9>9) who sought care for the same. The data were analysed using simple and multiple log-linear regression.

resultsLow educational attainment, unemployment and indebtedness were associated with both moderate/severe depression (PHQ-9 score >9) and severe depression only (PHQ-9 score >14), whereas age, caste and marital status were associated with only moderate or severe depression. Religion, type of house, land ownership and amount of loan taken were not associated with either moderate/severe or only severe depression. The contact coverage for moderate/severe depression was 13.08% (95% CI 10.2-16.63).

conclusionsThere is an urgent need to bridge the treatment gap by targeting individuals with social vulnerabilities and integrating evidence-based interventions in primary care. DECLARATION OF INTEREST: None. COPYRIGHT AND USAGE: © The Royal College of Psychiatrists 2017. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license.

Identifiers

PMID28904815
PMCPMC5592386
OpenAlexW2753939856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.