Evaluating concordance between government administrative data and externally collected data among high-volume government health facilities in Uttar Pradesh, India. Issue 1 (1st January 2019)

• Record Type: Journal Article
• Authors: Phillips, Beth S.; Singhal, Shreya; Mishra, Shambhavi; Kajal, Fnu; Cotter, Sun Yu; Sudhinaraset, May
• Is Part Of: Global health action. Volume 12:Issue 1(2019)
• Publication Date: 2019-01-01
• Subjects: Quality of care -- external audit -- government health system -- incentives -- India; World health -- Periodicals; Global Health; World health; Periodicals; 362.1
• DOI: 10.1080/16549716.2019.1619155
• Languages: English
• ISSNs: 1654-9716

Abstract

ABSTRACT: Background : Globally, opportunities to validate government reports through external audits are rare, notably in India. A cross-sectional maternal health study in Uttar Pradesh, India's most populous state, compares government administrative data and externally collected data on maternal health service indicators. Objectives : Our study aims to determine the level of concordance between government-reported health facility data compared to externally collected health facility data on the same maternal healthcare quality indicators. Second, our study aims to explore whether the level of agreement between government administrative data versus the externally collected data differs by level of facility or by type of maternal health service. Methods : Facility assessment surveys were administered to key health staff by government-hired enumerators from January 2017 to March 2017 at nearly 750 government health facilities across UP. The same survey was re-conducted by external data collectors from August 2017 to October 2017 at 40 of the same facilities. We conduct comparative analyses of the two datasets for agreement among the same measures of maternal healthcare quality. Results : The findings indicate concordance between most indicators across government administrative data and externally collected health facility data. However, when stratified by facility-level or service type, results suggest significant over-reporting in the government administrative data on indicators that are incentivized. This finding is consistent across all levels of facilities; however, the most significant disparities appear at higher-level facilities, namely District Hospitals. Conclusion : This study has a number of important programmatic and policy implications. Government administrative health data have the potential to be highly critical in informing large-scale quality improvements in maternal healthcare quality, but its credibility must be readily verifiable and accessible to politicians, researchers, funders, and most importantly, the public, to improve the overall health, patient experience, and well-being of women and newborns.