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Identifying barriers in the malaria control policymaking process in East Africa: insights from stakeholders and a structured literature review

Overview of attention for article published in BMC Public Health, September 2015
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Title
Identifying barriers in the malaria control policymaking process in East Africa: insights from stakeholders and a structured literature review
Published in
BMC Public Health, September 2015
DOI 10.1186/s12889-015-2183-6
Pubmed ID
Authors

Christopher Paul, Randall Kramer, Adriane Lesser, Clifford Mutero, Marie Lynn Miranda, Katherine Dickinson

Abstract

The complexity of malaria and public health policy responses presents social, financial, cultural, and institutional barriers to policymaking at multiple stages in the policy process. These barriers reduce the effectiveness of health policy in achieving national goals. We conducted a structured literature review to characterize malaria policy barriers, and we engaged stakeholders through surveys and workshops in Kenya, Tanzania, and Uganda. We compared common barriers presented in the scientific literature to barriers reported by malaria policy stakeholders. The barriers identified in the structured literature review differ from those described in policymaker surveys. The malaria policy literature emphasizes barriers in the implementation stage of policymaking such as those posed by health systems and specific intervention tools. Stakeholder responses placed greater emphasis on the political nature of policymaking, the disconnect between research and policymaking, and the need for better intersectoral collaboration. Identifying barriers to effective malaria control activities provides opportunities to improve health and other outcomes. Such barriers can occur at multiple stages and scales. Employing a stakeholder - designed decision tool framework has the potential to improve existing policies and ultimately the functioning of malaria related institutions. Furthermore, improved coordination between malaria research and policymaking would improve the quality and efficiency of interventions leading to better population health.

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The data shown below were collected from the profiles of 2 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Master 14 18%
Student > Ph. D. Student 13 17%
Student > Bachelor 6 8%
Student > Postgraduate 3 4%
Other 13 17%
Unknown 15 19%
Readers by discipline Count As %
Medicine and Dentistry 19 24%
Nursing and Health Professions 11 14%
Social Sciences 10 13%
Environmental Science 4 5%
Business, Management and Accounting 4 5%
Other 11 14%
Unknown 19 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 2015.
All research outputs
#14,236,953
of 22,826,360 outputs
Outputs from BMC Public Health
#10,341
of 14,870 outputs
Outputs of similar age
#138,103
of 267,016 outputs
Outputs of similar age from BMC Public Health
#221
of 331 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 267,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 331 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.