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Individual and contextual factors associated with community health workers’ performance in Nyanza Province, Kenya: a multilevel analysis

Overview of attention for article published in BMC Health Services Research, October 2015
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Title
Individual and contextual factors associated with community health workers’ performance in Nyanza Province, Kenya: a multilevel analysis
Published in
BMC Health Services Research, October 2015
DOI 10.1186/s12913-015-1117-4
Pubmed ID
Authors

Yoshito Kawakatsu, Tomohiko Sugishita, Junya Tsutsui, Kennedy Oruenjo, Stephen Wakhule, Kennedy Kibosia, Eric Were, Sumihisa Honda

Abstract

Several African and South Asian countries are currently investing in new cadres of community health workers (CHWs) as a major part of strategies aimed at reaching the Millennium Development Goals. However, one review concluded that community health workers did not consistently provide services likely to have substantial effects on health and that quality was usually poor. The objective of this research was to assess the CHWs' performance in Western Kenya and describe determinants of that performance using a multilevel analysis of the two levels, individual and supervisor/community. This study conducted three surveys between August and September 2011 in Nyanza Province, Kenya. The participants of the three surveys were all 1,788 active CHWs, all their supervisors, and 2,560 randomly selected mothers who had children aged 12 to 23 months. CHW performance was generated by three indicators: reporting rate, health knowledge and household coverage. Multilevel analysis was performed to describe the determinants of that performance. The significant factors associated with the CHWs' performance were their marital status, educational level, the size of their household, their work experience, personal sanitation practice, number of supervisions received and the interaction between their supervisors' better health knowledge and the number of supervisions. A high quality of routine supervisions is one of the key interventions in sustaining a CHW's performance. In addition, decreasing the dropout rate of CHWs is important both for sustaining their performance and for avoiding the additional cost of replacing them. As for the selection criteria of new CHWs, good educational status, availability of supporters for household chores and good sanitation practices are all important in selecting CHWs who can maintain their high performance level.

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The data shown below were collected from the profile of 1 X user 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Rwanda 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 24%
Student > Ph. D. Student 17 12%
Researcher 16 11%
Student > Postgraduate 11 8%
Other 9 6%
Other 26 18%
Unknown 31 21%
Readers by discipline Count As %
Nursing and Health Professions 33 23%
Medicine and Dentistry 31 21%
Social Sciences 17 12%
Business, Management and Accounting 5 3%
Economics, Econometrics and Finance 4 3%
Other 22 15%
Unknown 33 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 October 2015.
All research outputs
#18,428,159
of 22,829,683 outputs
Outputs from BMC Health Services Research
#6,476
of 7,638 outputs
Outputs of similar age
#197,662
of 274,923 outputs
Outputs of similar age from BMC Health Services Research
#116
of 136 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 6th percentile – i.e., 6% 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 274,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.