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Prevalence and treatment coverage for depression: a population-based survey in Vidarbha, India

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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2 news outlets
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40 Dimensions

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220 Mendeley
Title
Prevalence and treatment coverage for depression: a population-based survey in Vidarbha, India
Published in
Social Psychiatry and Psychiatric Epidemiology, April 2016
DOI 10.1007/s00127-016-1220-9
Pubmed ID
Authors

Rahul Shidhaye, Siddharth Gangale, Vikram Patel

Abstract

VISHRAM is a community-based mental health program to address psycho-social distress and risk factors for suicide in a predominantly rural population in Central India, through targeted interventions for the prevention and management of Depression and Alcohol Use Disorders (AUD). The evaluation was designed to assess the impact of program on the contact coverage of evidence-based treatments for depression and AUD through a repeated survey design. This paper describes the baseline prevalence of depression among adults in rural community, association of various demographic and socio-economic factors with depression and estimates contact coverage and costs of care for depression. Population-based cross-sectional survey of adults in 30 villages of Amravati district in Vidarbha region of Central India. The outcome of interest was a probable diagnosis of depression which was measured using the Patient Health Questionnaire (PHQ-9). Data were analyzed using simple and multiple logistic regression. The outcome of current depression (PHQ-9 ≥ 10) was observed in 14.6 % of the sample (95 % CI 12.8-16.4 %). The contact coverage for current depression was only 4.3 % (95 % CI 1.5-7.1 %). Prevalence of depression varied greatly between the two sites of the study; higher age, female gender, lower education, economic status below poverty line and indebtedness were associated with depression; and while a contact coverage with formal health care was very low, a large proportion of affected persons had consulted family members. Our findings clearly indicate that psycho-social distress in rural communities in Maharashtra is strongly associated with social determinants such as gender, poverty and indebtedness and affects the entire population and not just farmers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 220 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 14%
Student > Bachelor 24 11%
Student > Doctoral Student 23 10%
Researcher 16 7%
Student > Postgraduate 15 7%
Other 41 19%
Unknown 71 32%
Readers by discipline Count As %
Medicine and Dentistry 42 19%
Psychology 27 12%
Social Sciences 24 11%
Nursing and Health Professions 15 7%
Unspecified 9 4%
Other 20 9%
Unknown 83 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 04 May 2016.
All research outputs
#1,759,790
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#318
of 2,534 outputs
Outputs of similar age
#29,927
of 300,689 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#7
of 34 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 87% 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 300,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.