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Evaluating health worker performance in Benin using the simulated client method with real children

Overview of attention for article published in Implementation Science, October 2012
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3 X users

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Title
Evaluating health worker performance in Benin using the simulated client method with real children
Published in
Implementation Science, October 2012
DOI 10.1186/1748-5908-7-95
Pubmed ID
Authors

Alexander K Rowe, Faustin Onikpo, Marcel Lama, Michael S Deming

Abstract

The simulated client (SC) method for evaluating health worker performance utilizes surveyors who pose as patients to make surreptitious observations during consultations. Compared to conspicuous observation (CO) by surveyors, which is commonly done in developing countries, SC data better reflect usual health worker practices. This information is important because CO can cause performance to be better than usual. Despite this advantage of SCs, the method's full potential has not been realized for evaluating performance for pediatric illnesses because real children have not been utilized as SCs. Previous SC studies used scenarios of ill children that were not actually brought to health workers. During a trial that evaluated a quality improvement intervention in Benin (the Integrated Management of Childhood Illness [IMCI] strategy), we conducted an SC survey with adult caretakers as surveyors and real children to evaluate the feasibility of this approach and used the results to assess the validity of CO.

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The data shown below were collected from the profiles of 3 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United Kingdom 1 1%
Bangladesh 1 1%
Unknown 76 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Master 10 13%
Student > Ph. D. Student 6 8%
Student > Postgraduate 6 8%
Professor > Associate Professor 5 6%
Other 21 27%
Unknown 14 18%
Readers by discipline Count As %
Medicine and Dentistry 26 33%
Social Sciences 9 11%
Nursing and Health Professions 8 10%
Economics, Econometrics and Finance 4 5%
Business, Management and Accounting 4 5%
Other 9 11%
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 09 October 2012.
All research outputs
#13,369,262
of 22,681,577 outputs
Outputs from Implementation Science
#1,410
of 1,718 outputs
Outputs of similar age
#93,416
of 172,974 outputs
Outputs of similar age from Implementation Science
#25
of 38 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,718 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 15th percentile – i.e., 15% 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 172,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.