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Understanding the performance of community health volunteers involved in the delivery of health programmes in underserved areas: a realist synthesis

Overview of attention for article published in Implementation Science, February 2017
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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1 policy source
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19 X users

Citations

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44 Dimensions

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238 Mendeley
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Title
Understanding the performance of community health volunteers involved in the delivery of health programmes in underserved areas: a realist synthesis
Published in
Implementation Science, February 2017
DOI 10.1186/s13012-017-0554-3
Pubmed ID
Authors

Gaëlle Vareilles, Jeanine Pommier, Bruno Marchal, Sumit Kane

Abstract

The recruitment of community health volunteers (CHVs) to support the delivery of health programmes is an established approach in underserved areas and in particular where there are health inequalities due to the scarcity of trained human resources. However, there is a dearth of evidence about what works to improve CHVs' performance. This review aimed to synthesise existing literature to explain why, how and under which circumstances intervention approaches to improve the performance of CHVs are more likely to be successful. We performed a realist synthesis. We identified candidate theories related to our review questions, which then guided the selection, appraisal and analysis of primary studies. Publications of interest dating from 2008 to 2012 were identified by a systematic search in PubMed and IDEAS databases. We considered all study designs that examined the various aspects of CHV performance in the context of formal organisational settings to be eligible and excluded the studies that did not provide explanation about the performance of CHVs neither in the findings nor in the discussion part. Data were arranged according to their reference to context, interventions, outcomes and mechanisms in order to identify the interaction between them. The synthesis of data allowed us to determine explanatory patterns within or across the studies. We identified broad intervention approaches within the 23 papers included in the review: positioning of the CHV within the community, establishment of clear roles, provision of skill-based and ongoing training, incentives, supervision and logistical support for task distribution and implementation. The findings provided information regarding which mechanisms (self-esteem, sense of duty, self-efficacy, sense of being fairly treated) to target when implementing such approaches, and which contextual factors (stable and supportive cultural, political and social context and intervention closely linked to local health services) create the most favourable conditions for these mechanisms to occur, ultimately contributing to CHVs' better performance. Four main explanatory patterns around these mechanisms emerged as being fundamental to better performance. The patterns identified, combined with the designers' and other stakeholders' assumptions on how such interventions are expected to work, can be tested by empirical studies in order to provide useful information to be used by programme implementers, policymakers, donors and the community.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 238 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 15%
Researcher 35 15%
Student > Master 32 13%
Student > Bachelor 21 9%
Student > Doctoral Student 16 7%
Other 50 21%
Unknown 49 21%
Readers by discipline Count As %
Medicine and Dentistry 47 20%
Nursing and Health Professions 39 16%
Social Sciences 33 14%
Business, Management and Accounting 13 5%
Psychology 12 5%
Other 35 15%
Unknown 59 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 14 December 2022.
All research outputs
#2,393,700
of 25,292,378 outputs
Outputs from Implementation Science
#479
of 1,796 outputs
Outputs of similar age
#42,993
of 313,264 outputs
Outputs of similar age from Implementation Science
#15
of 43 outputs
Altmetric has tracked 25,292,378 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,796 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 gotten more attention than average, scoring higher than 73% 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 313,264 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 86% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.