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Information systems for mental health in six low and middle income countries: cross country situation analysis

Overview of attention for article published in International Journal of Mental Health Systems, September 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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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15 tweeters

Citations

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31 Dimensions

Readers on

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142 Mendeley
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Title
Information systems for mental health in six low and middle income countries: cross country situation analysis
Published in
International Journal of Mental Health Systems, September 2016
DOI 10.1186/s13033-016-0094-2
Pubmed ID
Authors

Nawaraj Upadhaya, Mark J. D. Jordans, Jibril Abdulmalik, Shalini Ahuja, Atalay Alem, Charlotte Hanlon, Fred Kigozi, Dorothy Kizza, Crick Lund, Maya Semrau, Rahul Shidhaye, Graham Thornicroft, Ivan H. Komproe, Oye Gureje

Abstract

Research on information systems for mental health in low and middle income countries (LMICs) is scarce. As a result, there is a lack of reliable information on mental health service needs, treatment coverage and the quality of services provided. With the aim of informing the development and implementation of a mental health information sub-system that includes reliable and measurable indicators on mental health within the Health Management Information Systems (HMIS), a cross-country situation analysis of HMIS was conducted in six LMICs (Ethiopia, India, Nepal, Nigeria, South Africa and Uganda), participating in the 'Emerging mental health systems in low and middle income countries' (Emerald) research programme. A situation analysis tool was developed to obtain and chart information from documents in the public domain. In circumstances when information was inadequate, key government officials were contacted to verify the data collected. In this paper we compare the baseline policy context, human resources situation as well as the processes and mechanisms of collecting, verifying, reporting and disseminating mental health related HMIS data. The findings suggest that countries face substantial policy, human resource and health governance challenges for mental health HMIS, many of which are common across sites. In particular, the specific policies and plans for the governance and implementation of mental health data collection, reporting and dissemination are absent. Across sites there is inadequate infrastructure, few HMIS experts, and inadequate technical support and supervision to junior staff, particularly in the area of mental health. Nonetheless there are also strengths in existing HMIS where a few mental health morbidity, mortality, and system level indicators are collected and reported. Our study indicates the need for greater technical and resources input to strengthen routine HMIS and develop standardized HMIS indicators for mental health, focusing in particular on indicators of coverage and quality to facilitate the implementation of the WHO mental health action plan 2013-2020.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 141 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 25%
Researcher 24 17%
Student > Ph. D. Student 12 8%
Student > Bachelor 10 7%
Student > Postgraduate 7 5%
Other 24 17%
Unknown 29 20%
Readers by discipline Count As %
Medicine and Dentistry 34 24%
Psychology 16 11%
Nursing and Health Professions 15 11%
Computer Science 9 6%
Social Sciences 9 6%
Other 24 17%
Unknown 35 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 July 2019.
All research outputs
#2,907,584
of 21,200,018 outputs
Outputs from International Journal of Mental Health Systems
#167
of 692 outputs
Outputs of similar age
#53,238
of 291,104 outputs
Outputs of similar age from International Journal of Mental Health Systems
#1
of 7 outputs
Altmetric has tracked 21,200,018 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 692 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 76% 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 291,104 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 81% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them