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Improving detection of mental health problems in community settings in Nepal: development and pilot testing of the community informant detection tool

Overview of attention for article published in Conflict and Health, November 2017
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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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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1 policy source
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29 X users
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1 Facebook page

Citations

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28 Dimensions

Readers on

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85 Mendeley
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Title
Improving detection of mental health problems in community settings in Nepal: development and pilot testing of the community informant detection tool
Published in
Conflict and Health, November 2017
DOI 10.1186/s13031-017-0132-y
Pubmed ID
Authors

Prasansa Subba, Nagendra P. Luitel, Brandon A. Kohrt, Mark J. D. Jordans

Abstract

Despite increasing efforts to expand availability of mental health services throughout the world, there continues to be limited utilization of these services by persons with mental illness and their families. Community-based detection that facilitates identification and referral of people with mental health problems has been advocated as an effective strategy to increase help-seeking and service utilization. The Community Informant Detection Tool (CIDT) was developed for the community informants to identify people with depression, psychosis, alcohol use problems, epilepsy, and child behavioral problems in community settings. The CIDT has been validated in Nepal and found to be effective in promoting treatment initiation. To facilitate replication in other settings, this paper describes the development process of CIDT and the steps to achieve comprehensibility, utility and feasibility. The CIDT was developed in four steps. First, case vignettes and illustrations were created incorporating local idioms of distress for symptoms of each disorder with an expert panel of 25 Nepali mental health professionals. Second, the utility of a draft tool was assessed through focus group discussions (n = 19) and in-depth interviews (n = 6). Third, a practice run was conducted assessing applicability of the tool through IDI among purposively selected community informants (n = 8). Finally, surveys were administered to 105 community informants to assess feasibility. The first through third steps led to modifications in the format and presentation of the CIDT. The pilot test found CIDT to be comprehensible and feasible for detection and referral of all conditions except child behavioral problems. Female community health volunteers were recommended as the most appropriate persons to utilize the CIDT. Community-based detection using the CIDT for persons in need of mental health care is perceived to be useful and feasible by key community stakeholders who would integrate the tool into their daily activities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Researcher 11 13%
Student > Ph. D. Student 9 11%
Student > Doctoral Student 6 7%
Lecturer 5 6%
Other 17 20%
Unknown 23 27%
Readers by discipline Count As %
Psychology 18 21%
Social Sciences 12 14%
Nursing and Health Professions 10 12%
Medicine and Dentistry 9 11%
Agricultural and Biological Sciences 2 2%
Other 8 9%
Unknown 26 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 30 October 2019.
All research outputs
#1,480,998
of 25,119,447 outputs
Outputs from Conflict and Health
#103
of 643 outputs
Outputs of similar age
#32,888
of 449,956 outputs
Outputs of similar age from Conflict and Health
#6
of 14 outputs
Altmetric has tracked 25,119,447 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 643 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done well, scoring higher than 84% 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 449,956 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 92% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.