Identifying predictive factors and developing evidence-based guidelines for promoting respectful maternal and newborn care: a mixed method multiphase study design

S. Vijayan, T. Babu, Arti Gupta, V. Reddy, D. Ramamohan
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Abstract

Background: Mistreatment of women during pregnancy and childbirth by healthcare workers is a common issue in both private and public sector health facilities in India. Improving the quality of maternity care in these sectors is crucial for promoting institutional births and ensuring positive birth experiences. This study aims to develop guidelines for respectful maternity care (RMC) in India through a multiphase quantitative and qualitative study. Methods: The study will utilize a mixed methods multiphase design, which involves collecting, analyzing, and integrating both quantitative and qualitative data. This approach follows the principles of pragmatism paradigm, where the integration of different approaches enhances understanding. The quantitative data will be used to expand and explain the qualitative data collected in the first phase. The integration of both types of data will contribute to the development of new RMC guidelines. Conclusions: This study is the first of its kind in India to develop comprehensive RMC guidelines based on a multiphase study. By exploring the experiences of Indian women regarding disrespect and abuse (D&A) during childbirth and its determinants, the study will provide valuable insights for guideline development. The integration of quantitative and qualitative approaches in the mixed method design will address potential limitations and provide a more comprehensive understanding of the subject.
确定预测因素并制定促进尊重孕产妇和新生儿护理的循证指南:一项混合方法多阶段研究设计
背景:卫生保健工作者在怀孕和分娩期间虐待妇女是印度私营和公共部门卫生设施的一个普遍问题。提高这些部门的产妇保健质量对于促进机构分娩和确保积极的分娩经验至关重要。本研究旨在通过多阶段定量和定性研究,制定印度尊重产妇护理(RMC)的指导方针。方法:本研究将采用混合方法多相设计,包括收集、分析和整合定量和定性数据。这种方法遵循实用主义范式的原则,其中不同方法的整合可以增强理解。定量数据将用于扩展和解释在第一阶段收集的定性数据。这两种数据的整合将有助于制定新的RMC指南。结论:该研究是印度第一个基于多阶段研究制定综合RMC指南的研究。通过探索印度妇女在分娩过程中不尊重和虐待(D&A)的经历及其决定因素,该研究将为指南的制定提供有价值的见解。在混合方法设计中,定量和定性方法的整合将解决潜在的局限性,并提供对该主题更全面的理解。
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