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Assessing the capacity of ministries of health to use research in decision-making: conceptual framework and tool

Overview of attention for article published in Health Research Policy and Systems, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 1,397)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 policy source
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110 X users
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1 Facebook page

Citations

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19 Dimensions

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101 Mendeley
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Title
Assessing the capacity of ministries of health to use research in decision-making: conceptual framework and tool
Published in
Health Research Policy and Systems, August 2017
DOI 10.1186/s12961-017-0227-3
Pubmed ID
Authors

Daniela C. Rodríguez, Connie Hoe, Elina M. Dale, M. Hafizur Rahman, Sadika Akhter, Assad Hafeez, Wayne Irava, Preety Rajbangshi, Tamlyn Roman, Marcela Ţîrdea, Rouham Yamout, David H. Peters

Abstract

The capacity to demand and use research is critical for governments if they are to develop policies that are informed by evidence. Existing tools designed to assess how government officials use evidence in decision-making have significant limitations for low- and middle-income countries (LMICs); they are rarely tested in LMICs and focus only on individual capacity. This paper introduces an instrument that was developed to assess Ministry of Health (MoH) capacity to demand and use research evidence for decision-making, which was tested for reliability and validity in eight LMICs (Bangladesh, Fiji, India, Lebanon, Moldova, Pakistan, South Africa, Zambia). Instrument development was based on a new conceptual framework that addresses individual, organisational and systems capacities, and items were drawn from existing instruments and a literature review. After initial item development and pre-testing to address face validity and item phrasing, the instrument was reduced to 54 items for further validation and item reduction. In-country study teams interviewed a systematic sample of 203 MoH officials. Exploratory factor analysis was used in addition to standard reliability and validity measures to further assess the items. Thirty items divided between two factors representing organisational and individual capacity constructs were identified. South Africa and Zambia demonstrated the highest level of organisational capacity to use research, whereas Pakistan and Bangladesh were the lowest two. In contrast, individual capacity was highest in Pakistan, followed by South Africa, whereas Bangladesh and Lebanon were the lowest. The framework and related instrument represent a new opportunity for MoHs to identify ways to understand and improve capacities to incorporate research evidence in decision-making, as well as to provide a basis for tracking change.

X Demographics

X Demographics

The data shown below were collected from the profiles of 110 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 22%
Student > Master 19 19%
Student > Ph. D. Student 13 13%
Student > Doctoral Student 7 7%
Other 5 5%
Other 15 15%
Unknown 20 20%
Readers by discipline Count As %
Medicine and Dentistry 26 26%
Social Sciences 15 15%
Nursing and Health Professions 10 10%
Business, Management and Accounting 4 4%
Arts and Humanities 4 4%
Other 14 14%
Unknown 28 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 06 September 2021.
All research outputs
#624,575
of 25,556,408 outputs
Outputs from Health Research Policy and Systems
#34
of 1,397 outputs
Outputs of similar age
#12,994
of 327,933 outputs
Outputs of similar age from Health Research Policy and Systems
#4
of 33 outputs
Altmetric has tracked 25,556,408 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 97% 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 327,933 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 96% of its contemporaries.
We're also able to compare this research output to 33 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.