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Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India
BACKGROUND: Social franchising is the fastest growing market-based approach to organising and improving the quality of care in the private sector of low- and middle-income countries, but there is limited evidence on its impact and cost-effectiveness. The “Sky” social franchise model was introduced i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448271/ https://www.ncbi.nlm.nih.gov/pubmed/26008202 http://dx.doi.org/10.1186/s13012-015-0269-2 |
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author | Pereira, Shreya K. Kumar, Paresh Dutt, Varun Haldar, Kaveri Penn-Kekana, Loveday Santos, Andreia Powell-Jackson, Timothy |
author_facet | Pereira, Shreya K. Kumar, Paresh Dutt, Varun Haldar, Kaveri Penn-Kekana, Loveday Santos, Andreia Powell-Jackson, Timothy |
author_sort | Pereira, Shreya K. |
collection | PubMed |
description | BACKGROUND: Social franchising is the fastest growing market-based approach to organising and improving the quality of care in the private sector of low- and middle-income countries, but there is limited evidence on its impact and cost-effectiveness. The “Sky” social franchise model was introduced in the Indian state of Uttar Pradesh in late 2013. METHODS/DESIGN: Difference-in-difference methods will be used to estimate the impact of the social franchise programme on the quality and coverage of health services along the continuum of care for reproductive, maternal and newborn health. Comparison clusters will be selected to be as similar as possible to intervention clusters using nearest neighbour matching methods. Two rounds of data will be collected from a household survey of 3600 women with a birth in the last 2 years and a survey of 450 health providers in the same localities. To capture the full range of effects, 59 study outcomes have been specified and then grouped into conceptually similar domains. Methods to account for multiple inferences will be used based on the pre-specified grouping of outcomes. A process evaluation will seek to understand the scale of the social franchise network, the extent to which various components of the programme are implemented and how impacts are achieved. An economic evaluation will measure the costs of setting up, maintaining and running the social franchise as well as the cost-effectiveness and financial sustainability of the programme. DISCUSSION: There is a dearth of evidence demonstrating whether market-based approaches such as social franchising can improve care in the private sector. This evaluation will provide rigorous evidence on whether an innovative model of social franchising can contribute to better population health in a low-income setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-015-0269-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4448271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44482712015-05-30 Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India Pereira, Shreya K. Kumar, Paresh Dutt, Varun Haldar, Kaveri Penn-Kekana, Loveday Santos, Andreia Powell-Jackson, Timothy Implement Sci Study Protocol BACKGROUND: Social franchising is the fastest growing market-based approach to organising and improving the quality of care in the private sector of low- and middle-income countries, but there is limited evidence on its impact and cost-effectiveness. The “Sky” social franchise model was introduced in the Indian state of Uttar Pradesh in late 2013. METHODS/DESIGN: Difference-in-difference methods will be used to estimate the impact of the social franchise programme on the quality and coverage of health services along the continuum of care for reproductive, maternal and newborn health. Comparison clusters will be selected to be as similar as possible to intervention clusters using nearest neighbour matching methods. Two rounds of data will be collected from a household survey of 3600 women with a birth in the last 2 years and a survey of 450 health providers in the same localities. To capture the full range of effects, 59 study outcomes have been specified and then grouped into conceptually similar domains. Methods to account for multiple inferences will be used based on the pre-specified grouping of outcomes. A process evaluation will seek to understand the scale of the social franchise network, the extent to which various components of the programme are implemented and how impacts are achieved. An economic evaluation will measure the costs of setting up, maintaining and running the social franchise as well as the cost-effectiveness and financial sustainability of the programme. DISCUSSION: There is a dearth of evidence demonstrating whether market-based approaches such as social franchising can improve care in the private sector. This evaluation will provide rigorous evidence on whether an innovative model of social franchising can contribute to better population health in a low-income setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-015-0269-2) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-26 /pmc/articles/PMC4448271/ /pubmed/26008202 http://dx.doi.org/10.1186/s13012-015-0269-2 Text en © Pereira et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Study Protocol Pereira, Shreya K. Kumar, Paresh Dutt, Varun Haldar, Kaveri Penn-Kekana, Loveday Santos, Andreia Powell-Jackson, Timothy Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India |
title | Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India |
title_full | Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India |
title_fullStr | Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India |
title_full_unstemmed | Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India |
title_short | Protocol for the evaluation of a social franchising model to improve maternal health in Uttar Pradesh, India |
title_sort | protocol for the evaluation of a social franchising model to improve maternal health in uttar pradesh, india |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448271/ https://www.ncbi.nlm.nih.gov/pubmed/26008202 http://dx.doi.org/10.1186/s13012-015-0269-2 |
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