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Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy

We visited 1519 villages across 19 Indian states in 2009 to (a) count all health care providers and (b) elicit their quality as measured through tests of medical knowledge. We document three main findings. First, 75% of villages have at least one health care provider and 64% of care is sought in vil...

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Autores principales: Das, Jishnu, Daniels, Benjamin, Ashok, Monisha, Shim, Eun-Young, Muralidharan, Karthik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188269/
https://www.ncbi.nlm.nih.gov/pubmed/32553441
http://dx.doi.org/10.1016/j.socscimed.2020.112799
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author Das, Jishnu
Daniels, Benjamin
Ashok, Monisha
Shim, Eun-Young
Muralidharan, Karthik
author_facet Das, Jishnu
Daniels, Benjamin
Ashok, Monisha
Shim, Eun-Young
Muralidharan, Karthik
author_sort Das, Jishnu
collection PubMed
description We visited 1519 villages across 19 Indian states in 2009 to (a) count all health care providers and (b) elicit their quality as measured through tests of medical knowledge. We document three main findings. First, 75% of villages have at least one health care provider and 64% of care is sought in villages with 3 or more providers. Most providers are in the private sector (86%) and, within the private sector, the majority are ‘informal providers' without any formal medical training. Our estimates suggest that such informal providers account for 68% of the total provider population in rural India. Second, there is considerable variation in quality across states and formal qualifications are a poor predictor of quality. For instance, the medical knowledge of informal providers in Tamil Nadu and Karnataka is higher than that of fully trained doctors in Bihar and Uttar Pradesh. Surprisingly, the share of informal providers does not decline with socioeconomic status. Instead, their quality, along with the quality of doctors in the private and public sector, increases sharply. Third, India is divided into two nations not just by quality of health care providers, but also by costs: Better performing states provide higher quality at lower per-visit costs, suggesting that they are on a different production possibility frontier. These patterns are consistent with significant variation across states in the availability and quality of medical education. Our results highlight the complex structure of health care markets, the large share of private informal providers, and the substantial variation in the quality and cost of care across and within markets in rural India. Measuring and accounting for this complexity is essential for health care policy in India.
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spelling pubmed-91882692022-06-14 Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy Das, Jishnu Daniels, Benjamin Ashok, Monisha Shim, Eun-Young Muralidharan, Karthik Soc Sci Med Article We visited 1519 villages across 19 Indian states in 2009 to (a) count all health care providers and (b) elicit their quality as measured through tests of medical knowledge. We document three main findings. First, 75% of villages have at least one health care provider and 64% of care is sought in villages with 3 or more providers. Most providers are in the private sector (86%) and, within the private sector, the majority are ‘informal providers' without any formal medical training. Our estimates suggest that such informal providers account for 68% of the total provider population in rural India. Second, there is considerable variation in quality across states and formal qualifications are a poor predictor of quality. For instance, the medical knowledge of informal providers in Tamil Nadu and Karnataka is higher than that of fully trained doctors in Bihar and Uttar Pradesh. Surprisingly, the share of informal providers does not decline with socioeconomic status. Instead, their quality, along with the quality of doctors in the private and public sector, increases sharply. Third, India is divided into two nations not just by quality of health care providers, but also by costs: Better performing states provide higher quality at lower per-visit costs, suggesting that they are on a different production possibility frontier. These patterns are consistent with significant variation across states in the availability and quality of medical education. Our results highlight the complex structure of health care markets, the large share of private informal providers, and the substantial variation in the quality and cost of care across and within markets in rural India. Measuring and accounting for this complexity is essential for health care policy in India. Pergamon 2022-05 /pmc/articles/PMC9188269/ /pubmed/32553441 http://dx.doi.org/10.1016/j.socscimed.2020.112799 Text en © 2020 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Das, Jishnu
Daniels, Benjamin
Ashok, Monisha
Shim, Eun-Young
Muralidharan, Karthik
Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy
title Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy
title_full Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy
title_fullStr Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy
title_full_unstemmed Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy
title_short Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy
title_sort two indias: the structure of primary health care markets in rural indian villages with implications for policy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188269/
https://www.ncbi.nlm.nih.gov/pubmed/32553441
http://dx.doi.org/10.1016/j.socscimed.2020.112799
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