Cargando…
India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality
The routine data generated by India’s universal coverage programs offer an important opportunity to evaluate and track the quality of health care systematically and on a large scale. We examined the potential and challenges of measuring the quality of hospital care through claims data from India’s h...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Project HOPE—The People-to-People Health Foundation, Inc.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473072/ https://www.ncbi.nlm.nih.gov/pubmed/27702951 http://dx.doi.org/10.1377/hlthaff.2016.0588 |
_version_ | 1783579112640610304 |
---|---|
author | Morton, Matthew Nagpal, Somil Sadanandan, Rajeev Bauhoff, Sebastian |
author_facet | Morton, Matthew Nagpal, Somil Sadanandan, Rajeev Bauhoff, Sebastian |
author_sort | Morton, Matthew |
collection | PubMed |
description | The routine data generated by India’s universal coverage programs offer an important opportunity to evaluate and track the quality of health care systematically and on a large scale. We examined the potential and challenges of measuring the quality of hospital care through claims data from India’s hospital insurance program for the poor, Rashtriya Swasthya Bima Yojana (RSBY). Using data from one district in India, we illustrate how these data already provide useful insights and show that simple efforts to enhance data quality and an effort to expand the data captured could facilitate RSBY’s ability to track quality of care. The data collected by RSBY has significant potential to characterize and uncover the provision of low-quality care and help inform much-needed efforts to raise the quality of hospital care. |
format | Online Article Text |
id | pubmed-7473072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Project HOPE—The People-to-People Health Foundation, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74730722020-09-21 India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality Morton, Matthew Nagpal, Somil Sadanandan, Rajeev Bauhoff, Sebastian Health Aff (Millwood) Quality Of Care In India The routine data generated by India’s universal coverage programs offer an important opportunity to evaluate and track the quality of health care systematically and on a large scale. We examined the potential and challenges of measuring the quality of hospital care through claims data from India’s hospital insurance program for the poor, Rashtriya Swasthya Bima Yojana (RSBY). Using data from one district in India, we illustrate how these data already provide useful insights and show that simple efforts to enhance data quality and an effort to expand the data captured could facilitate RSBY’s ability to track quality of care. The data collected by RSBY has significant potential to characterize and uncover the provision of low-quality care and help inform much-needed efforts to raise the quality of hospital care. Project HOPE—The People-to-People Health Foundation, Inc. 2016-10 2016 /pmc/articles/PMC7473072/ /pubmed/27702951 http://dx.doi.org/10.1377/hlthaff.2016.0588 Text en © 2016 Project HOPE—The People-to-People Health Foundation, Inc. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third party material in this article for license information. |
spellingShingle | Quality Of Care In India Morton, Matthew Nagpal, Somil Sadanandan, Rajeev Bauhoff, Sebastian India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality |
title | India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality |
title_full | India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality |
title_fullStr | India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality |
title_full_unstemmed | India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality |
title_short | India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality |
title_sort | india’s largest hospital insurance program faces challenges in using claims data to measure quality |
topic | Quality Of Care In India |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473072/ https://www.ncbi.nlm.nih.gov/pubmed/27702951 http://dx.doi.org/10.1377/hlthaff.2016.0588 |
work_keys_str_mv | AT mortonmatthew indiaslargesthospitalinsuranceprogramfaceschallengesinusingclaimsdatatomeasurequality AT nagpalsomil indiaslargesthospitalinsuranceprogramfaceschallengesinusingclaimsdatatomeasurequality AT sadanandanrajeev indiaslargesthospitalinsuranceprogramfaceschallengesinusingclaimsdatatomeasurequality AT bauhoffsebastian indiaslargesthospitalinsuranceprogramfaceschallengesinusingclaimsdatatomeasurequality |