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Stakeholder analysis of the Programme for Improving Mental health carE (PRIME): baseline findings

Overview of attention for article published in International Journal of Mental Health Systems, July 2015
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 policy source
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2 Facebook pages

Citations

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26 Dimensions

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203 Mendeley
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Title
Stakeholder analysis of the Programme for Improving Mental health carE (PRIME): baseline findings
Published in
International Journal of Mental Health Systems, July 2015
DOI 10.1186/s13033-015-0020-z
Pubmed ID
Authors

Amit Makan, Abebaw Fekadu, Vaibhav Murhar, Nagendra Luitel, Tasneem Kathree, Joshua Ssebunya, Crick Lund

Abstract

The knowledge generated from evidence-based interventions in mental health systems research is seldom translated into policy and practice in low and middle-income countries (LMIC). Stakeholder analysis is a potentially useful tool in health policy and systems research to improve understanding of policy stakeholders and increase the likelihood of knowledge translation into policy and practice. The aim of this study was to conduct stakeholder analyses in the five countries participating in the Programme for Improving Mental health carE (PRIME); evaluate a template used for cross-country comparison of stakeholder analyses; and assess the utility of stakeholder analysis for future use in mental health policy and systems research in LMIC. Using an adapted stakeholder analysis instrument, PRIME country teams in Ethiopia, India, Nepal, South Africa and Uganda identified and characterised stakeholders in relation to the proposed action: scaling-up mental health services. Qualitative content analysis was conducted for stakeholder groups across countries, and a force field analysis was applied to the data. Stakeholder analysis of PRIME has identified policy makers (WHO, Ministries of Health, non-health sector Ministries and Parliament), donors (DFID UK, DFID country offices and other donor agencies), mental health specialists, the media (national and district) and universities as the most powerful, and most supportive actors for scaling up mental health care in the respective PRIME countries. Force field analysis provided a means of evaluating cross-country stakeholder power and positions, particularly for prioritising potential stakeholder engagement in the programme. Stakeholder analysis has been helpful as a research uptake management tool to identify targeted and acceptable strategies for stimulating the demand for research amongst knowledge users, including policymakers and practitioners. Implementing these strategies amongst stakeholders at a country level will hopefully reduce the knowledge gap between research and policy, and improve health system outcomes for the programme.

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The data shown below were collected from the profiles of 5 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 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 203 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 23%
Researcher 27 13%
Student > Ph. D. Student 15 7%
Student > Bachelor 12 6%
Student > Postgraduate 11 5%
Other 37 18%
Unknown 55 27%
Readers by discipline Count As %
Medicine and Dentistry 36 18%
Social Sciences 24 12%
Nursing and Health Professions 23 11%
Psychology 20 10%
Engineering 6 3%
Other 27 13%
Unknown 67 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 February 2019.
All research outputs
#4,152,100
of 22,816,807 outputs
Outputs from International Journal of Mental Health Systems
#290
of 718 outputs
Outputs of similar age
#52,174
of 262,367 outputs
Outputs of similar age from International Journal of Mental Health Systems
#1
of 11 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 718 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 59% 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 262,367 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 80% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.