PMID- 33137153 OWN - NLM STAT- MEDLINE DCOM- 20201223 LR - 20201223 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 15 IP - 11 DP - 2020 TI - Quality of care in sterilization services at the public health facilities in India: A multilevel analysis. PG - e0241499 LID - 10.1371/journal.pone.0241499 [doi] LID - e0241499 AB - Female sterilization is the most popular contraceptive method among Indian couples, and the public sector is the major source of sterilization services in the country. However, concerns remain on the quality of services provided, deaths, failures, and complications following sterilization. In this paper, we study the complexities around the quality of care in female sterilization services at public health facilities and identify strategies for improving the measurement of such quality. A better understanding of these issues could inform pragmatic strategies for enhancing quality. This study uses data from the National Family Health Survey (NFHS) 2015-16 and District Level Household and Facility Survey (DLHS) 2012-13. The study is limited to only districts whose data are available in both DLHS 2012-13 and NFHS 2015-16. The methods of analysis include bivariate statistics, Pearson's chi-square test, and two-level mixed-effects logistic regression. We found that the quality of care (QoC) in sterilization service at the public health facilities in India is associated with facility readiness and the socio-economic characteristics of the clients. There is a significant association between household wealth and the QoC received. Our study provides empirical shreds of evidence on the role of structural attributes in delivering quality sterilization services. The spatial analyses revealed the geographies in the country where the QoC and facility readiness are low. Quality should be an overriding priority to establish the credibility of any health care delivery system. It is essential to provide safeguards against adverse events to develop the client's confidence in the services, which is the key to success for any voluntary family planning program like in India. FAU - Joseph K J, Vinod AU - Joseph K J V AUID- ORCID: 0000-0001-8783-3969 AD - Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India. FAU - Mozumdar, Arupendra AU - Mozumdar A AUID- ORCID: 0000-0002-2170-2656 AD - Reproductive Health Division, Population Council, New Delhi, India. FAU - Lhungdim, Hemkhothang AU - Lhungdim H AD - Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India. FAU - Acharya, Rajib AU - Acharya R AD - Reproductive Health Division, Population Council, New Delhi, India. LA - eng PT - Journal Article PT - Research Support, U.S. Gov't, Non-P.H.S. DEP - 20201102 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM MH - Chi-Square Distribution MH - Geography MH - *Health Facilities MH - Humans MH - India MH - Logistic Models MH - *Multilevel Analysis MH - *Public Health MH - *Quality of Health Care MH - *Sterilization, Reproductive PMC - PMC7605679 COIS- The authors have declared that no competing interests exist. EDAT- 2020/11/03 06:00 MHDA- 2020/12/29 06:00 PMCR- 2020/11/02 CRDT- 2020/11/02 17:14 PHST- 2020/07/16 00:00 [received] PHST- 2020/10/16 00:00 [accepted] PHST- 2020/11/02 17:14 [entrez] PHST- 2020/11/03 06:00 [pubmed] PHST- 2020/12/29 06:00 [medline] PHST- 2020/11/02 00:00 [pmc-release] AID - PONE-D-20-22065 [pii] AID - 10.1371/journal.pone.0241499 [doi] PST - epublish SO - PLoS One. 2020 Nov 2;15(11):e0241499. doi: 10.1371/journal.pone.0241499. eCollection 2020.