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Health systems guidance appraisal—a critical interpretive synthesis

Overview of attention for article published in Implementation Science, January 2016
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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)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

policy
1 policy source
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33 X users

Citations

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18 Dimensions

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90 Mendeley
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Title
Health systems guidance appraisal—a critical interpretive synthesis
Published in
Implementation Science, January 2016
DOI 10.1186/s13012-016-0373-y
Pubmed ID
Authors

Denis E. Ako-Arrey, Melissa C. Brouwers, John N. Lavis, Mita K. Giacomini, on behalf of the AGREE-HS Team

Abstract

Health systems guidance (HSG) are systematically developed statements that assist with decisions about options for addressing health systems challenges, including related changes in health systems arrangements. However, the development, appraisal, and reporting of HSG poses unique conceptual and methodological challenges related to the varied types of evidence that are relevant, the complexity of health systems, and the pre-eminence of contextual factors. To address this gap, we are conducting a program of research that aims to create a tool to support the appraisal of HSG and further enhance HSG development and reporting. The focus of this paper was to conduct a knowledge synthesis of the published and grey literatures to determine quality criteria (concepts) relevant for this process. We applied a critical interpretive synthesis (CIS) approach to knowledge synthesis that enabled an iterative, flexible, and dynamic analysis of diverse bodies of literature in order to generate a candidate list of concepts that will constitute the foundational components of the HSG tool. Using our review questions as compasses, we were able to guide the search strategy to look for papers based on their potential relevance to HSG appraisal, development, and reporting. The search strategy included various electronic databases and sources, subject-specific journals, conference abstracts, research reports, book chapters, unpublished data, dissertations, and policy documents. Screening the papers and data extraction was completed independently and in duplicate, and a narrative approach to data synthesis was executed. We identified 43 papers that met eligibility criteria. No existing review was found on this topic, and no HSG appraisal tool was identified. Over one third of the authors implicitly or explicitly identified the need for a high-quality tool aimed to systematically evaluate HSG and contribute to its development/reporting. We identified 30 concepts that may be relevant to the appraisal of HSG and were able to cluster them into three meaningful domains: process principles, content, and context principles. Our study showed the role that the quality criteria play in the development, appraisal, and reporting of HSG and demonstrated the link and resonance within and between the various concepts in the three domains.

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X Demographics

The data shown below were collected from the profiles of 33 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uganda 1 1%
Unknown 89 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 23%
Student > Master 15 17%
Student > Ph. D. Student 13 14%
Professor 6 7%
Student > Doctoral Student 5 6%
Other 15 17%
Unknown 15 17%
Readers by discipline Count As %
Medicine and Dentistry 29 32%
Social Sciences 12 13%
Nursing and Health Professions 9 10%
Psychology 6 7%
Business, Management and Accounting 4 4%
Other 13 14%
Unknown 17 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 21 December 2020.
All research outputs
#1,739,405
of 25,311,095 outputs
Outputs from Implementation Science
#322
of 1,798 outputs
Outputs of similar age
#30,108
of 407,820 outputs
Outputs of similar age from Implementation Science
#12
of 49 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 82% 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 407,820 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 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.