PMID- 31021329 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20201001 IS - 1929-0748 (Print) IS - 1929-0748 (Electronic) IS - 1929-0748 (Linking) VI - 8 IP - 4 DP - 2019 Apr 25 TI - Development of a Phone Survey Tool to Measure Respectful Maternity Care During Pregnancy and Childbirth in India: Study Protocol. PG - e12173 LID - 10.2196/12173 [doi] LID - e12173 AB - BACKGROUND: Respectful maternity care (RMC) is a key barometer of the underlying quality of care women receive during pregnancy and childbirth. Efforts to measure RMC have largely been qualitative, although validated quantitative tools are emerging. Available tools have been limited to the measurement of RMC during childbirth and confined to observational and face-to-face survey modes. Phone surveys are less invasive, low cost, and rapid alternatives to traditional face-to-face methods, yet little is known about their validity and reliability. OBJECTIVE: The primary objective of this study was to develop validated face-to-face and phone survey tools for measuring RMC during pregnancy and childbirth for use in India and other low resource settings. The secondary objective was to optimize strategies for improving the delivery of phone surveys for use in measuring RMC. METHODS: To develop face-to-face and phone surveys for measuring RMC, we describe procedures for assessing content, criterion, and construct validity as well as reliability analyses. To optimize the delivery of phone surveys, we outline plans for substudies, which aim to assess the effect of survey modality, and content on survey response, completion, and attrition rates. RESULTS: Data collection will be carried out in 4 districts of Madhya Pradesh, India, from July 2018 to March 2019. CONCLUSIONS: To our knowledge, this is the first RMC phone survey tool developed for India, which may provide an opportunity for the rapid, routine collection of data essential for improving the quality of care during pregnancy and childbirth. Elsewhere, phone survey tools are emerging; however, efforts to develop these surveys are often not inclusive of rigorous pretesting activities essential for ensuring quality data, including cognitive, reliability, and validity testing. In the absence of these activities, emerging data could overestimate or underestimate the burden of disease and health care practices under assessment. In the context of RMC, poor quality data could have adverse consequences including the naming and shaming of providers. By outlining a blueprint of the minimum activities required to generate reliable and valid survey tools, we hope to improve efforts to develop and deploy face-to-face and phone surveys in the health sector. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/12173. CI - (c)Amnesty E LeFevre, Kerry Scott, Diwakar Mohan, Neha Shah, Aarushi Bhatnagar, Alain Labrique, Diva Dhar, Sara Chamberlain, Rajani Ved. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 25.04.2019. FAU - LeFevre, Amnesty E AU - LeFevre AE AUID- ORCID: 0000-0001-8437-7240 AD - Division of Epidemiology and Biostatistics , School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa. AD - Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. FAU - Scott, Kerry AU - Scott K AUID- ORCID: 0000-0003-3597-9637 AD - Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. FAU - Mohan, Diwakar AU - Mohan D AUID- ORCID: 0000-0002-7532-366X AD - Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. FAU - Shah, Neha AU - Shah N AUID- ORCID: 0000-0002-9450-604X AD - Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. FAU - Bhatnagar, Aarushi AU - Bhatnagar A AUID- ORCID: 0000-0002-6906-6345 AD - Oxford Policy Management, New Delhi, India. FAU - Labrique, Alain AU - Labrique A AUID- ORCID: 0000-0003-2502-7819 AD - Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. FAU - Dhar, Diva AU - Dhar D AUID- ORCID: 0000-0002-6609-3065 AD - Bill and Melinda Gates Foundation, New Delhi, India. FAU - Chamberlain, Sara AU - Chamberlain S AUID- ORCID: 0000-0003-4785-6482 AD - BBC Media Action, Delhi, India. FAU - Ved, Rajani AU - Ved R AUID- ORCID: 0000-0002-9545-9265 AD - National Health Systems Resource Center, Delhi, India. LA - eng PT - Journal Article DEP - 20190425 PL - Canada TA - JMIR Res Protoc JT - JMIR research protocols JID - 101599504 PMC - PMC6658236 OTO - NOTNLM OT - India OT - maternal care OT - phone surveys OT - text messages COIS- Conflicts of Interest: Sara Chamberlain is employed by BBC Media Action and involved in the implementation of Kilkari. Data from this study were drawn from baseline surveys implemented as part of the external evaluation of Kilkari. Diva Dhar is an employee of the Bill and Melinda Gates Foundation who is providing funding for all data collected as part of this study. No other conflicts of interest are declared. The corresponding author had full access to the data and assumed final responsibility for the decision to publish. EDAT- 2019/04/26 06:00 MHDA- 2019/04/26 06:01 PMCR- 2019/04/25 CRDT- 2019/04/26 06:00 PHST- 2018/09/11 00:00 [received] PHST- 2019/01/20 00:00 [accepted] PHST- 2019/01/08 00:00 [revised] PHST- 2019/04/26 06:00 [entrez] PHST- 2019/04/26 06:00 [pubmed] PHST- 2019/04/26 06:01 [medline] PHST- 2019/04/25 00:00 [pmc-release] AID - v8i4e12173 [pii] AID - 10.2196/12173 [doi] PST - epublish SO - JMIR Res Protoc. 2019 Apr 25;8(4):e12173. doi: 10.2196/12173.