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Effect Of A Large-Scale Social Franchising And Telemedicine Program On Childhood Diarrhea And Pneumonia Outcomes In India

Overview of attention for article published in Health Affairs, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
19 news outlets
blogs
1 blog
policy
1 policy source
twitter
51 X users
facebook
3 Facebook pages
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Effect Of A Large-Scale Social Franchising And Telemedicine Program On Childhood Diarrhea And Pneumonia Outcomes In India
Published in
Health Affairs, October 2016
DOI 10.1377/hlthaff.2016.0481
Pubmed ID
Authors

Manoj Mohanan, Kimberly S Babiarz, Jeremy D Goldhaber-Fiebert, Grant Miller, Marcos Vera-Hernández

Abstract

Despite the rapid growth of social franchising, there is little evidence on its population impact in the health sector. Similar in many ways to private-sector commercial franchising, social franchising can be found in sectors with a social objective, such as health care. This article evaluates the World Health Partners (WHP) Sky program, a large-scale social franchising and telemedicine program in Bihar, India. We studied appropriate treatment for childhood diarrhea and pneumonia and associated health care outcomes. We used multivariate difference-in-differences models to analyze data on 67,950 children ages five and under in 2011 and 2014. We found that the WHP-Sky program did not improve rates of appropriate treatment or disease prevalence. Both provider participation and service use among target populations were low. Our results do not imply that social franchising cannot succeed; instead, they underscore the importance of understanding factors that explain variation in the performance of social franchises. Our findings also highlight, for donors and governments in particular, the importance of conducting rigorous impact evaluations of new and potentially innovative health care delivery programs before investing in scaling them up.

X Demographics

X Demographics

The data shown below were collected from the profiles of 51 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
United States 1 <1%
Unknown 111 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 16%
Researcher 14 12%
Student > Bachelor 10 9%
Student > Ph. D. Student 9 8%
Student > Doctoral Student 8 7%
Other 20 18%
Unknown 34 30%
Readers by discipline Count As %
Social Sciences 15 13%
Medicine and Dentistry 14 12%
Nursing and Health Professions 9 8%
Economics, Econometrics and Finance 6 5%
Computer Science 5 4%
Other 20 18%
Unknown 44 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 196. 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 26 March 2018.
All research outputs
#206,475
of 25,827,956 outputs
Outputs from Health Affairs
#523
of 6,544 outputs
Outputs of similar age
#4,013
of 328,911 outputs
Outputs of similar age from Health Affairs
#16
of 111 outputs
Altmetric has tracked 25,827,956 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 69.4. This one has done particularly well, scoring higher than 92% 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 328,911 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 98% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.