India’s Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality
Author(s) -
Matthew Morton,
Somil Nagpal,
Rajeev Sadanandan,
Sebastian Bauhoff
Publication year - 2016
Publication title -
health affairs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.837
H-Index - 178
eISSN - 2694-233X
pISSN - 0278-2715
DOI - 10.1377/hlthaff.2016.0588
Subject(s) - measure (data warehouse) , actuarial science , quality (philosophy) , business , health insurance , health care , computer science , data mining , economics , economic growth , philosophy , epistemology
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.
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