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Evaluation of Capacity-Building Program of District Health Managers in India: A Contextualized Theoretical Framework

Overview of attention for article published in Frontiers in Public Health, July 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
Evaluation of Capacity-Building Program of District Health Managers in India: A Contextualized Theoretical Framework
Published in
Frontiers in Public Health, July 2014
DOI 10.3389/fpubh.2014.00089
Pubmed ID
Authors

N. S. Prashanth, Bruno Marchal, Guy Kegels, Bart Criel

Abstract

Performance of local health services managers at district level is crucial to ensure that health services are of good quality and cater to the health needs of the population in the area. In many low- and middle-income countries, health services managers are poorly equipped with public health management capacities needed for planning and managing their local health system. In the south Indian Tumkur district, a consortium of five non-governmental organizations partnered with the state government to organize a capacity-building program for health managers. The program consisted of a mix of periodic contact classes, mentoring and assignments and was spread over 30 months. In this paper, we develop a theoretical framework in the form of a refined program theory to understand how such a capacity-building program could bring about organizational change. A well-formulated program theory enables an understanding of how interventions could bring about improvements and an evaluation of the intervention. In the refined program theory of the intervention, we identified various factors at individual, institutional, and environmental levels that could interact with the hypothesized mechanisms of organizational change, such as staff's perceived self-efficacy and commitment to their organizations. Based on this program theory, we formulated context-mechanism-outcome configurations that can be used to evaluate the intervention and, more specifically, to understand what worked, for whom and under what conditions. We discuss the application of program theory development in conducting a realist evaluation. Realist evaluation embraces principles of systems thinking by providing a method for understanding how elements of the system interact with one another in producing a given outcome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 4 3%
United Kingdom 1 <1%
Sierra Leone 1 <1%
Uganda 1 <1%
Unknown 108 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 25%
Student > Ph. D. Student 18 16%
Student > Master 15 13%
Other 4 3%
Student > Doctoral Student 4 3%
Other 19 17%
Unknown 26 23%
Readers by discipline Count As %
Social Sciences 25 22%
Medicine and Dentistry 24 21%
Nursing and Health Professions 12 10%
Business, Management and Accounting 5 4%
Decision Sciences 3 3%
Other 15 13%
Unknown 31 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 August 2018.
All research outputs
#5,053,347
of 24,363,506 outputs
Outputs from Frontiers in Public Health
#2,005
of 12,450 outputs
Outputs of similar age
#47,302
of 233,345 outputs
Outputs of similar age from Frontiers in Public Health
#21
of 63 outputs
Altmetric has tracked 24,363,506 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,450 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 83% 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 233,345 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 79% of its contemporaries.
We're also able to compare this research output to 63 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 68% of its contemporaries.