Protocol for a mixed-methods realist evaluation of a health service user feedback system in Bangladesh.

Protocol for a mixed-methods realist evaluation of a health service user feedback system in Bangladesh.
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DOI:
10.1136/bmjopen-2017-017743
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发表时间:
2017-07-05
期刊:
影响因子:
2.9
通讯作者:
Mirzoev T
Mirzoev T
中科院分区:
医学3区
文献类型:
--
作者:
Ebenso B;Huque R;Azdi Z;Elsey H;Nasreen S;Mirzoev T

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对服务使用者的意见作出反应是卫生系统的一个公认目标。反应迅速的卫生系统的一个关键组成部分是用户和服务提供者之间的有效互动。尽管越来越多的文献从高收入环境中的病人反馈,少有人知道这种系统在低收入和中等收入国家的有效性。本文传播了一个为期18个月的“RESPOND”项目的协议,该项目旨在评估孟加拉国收集和回应用户反馈的系统。这种混合方法的研究使用现实主义的评价方法,检查用户反馈系统在两个乌帕齐拉卫生综合体在孟加拉国的科米拉区,并包括三个步骤:(1)初始理论发展;(2)理论验证;(3)理论的完善和发展的经验教训。该项目还使用(1)过程评估,以了解因果机制和实施的背景;(2)对患者反馈的统计分析,以澄清所报告问题的性质;(3)社会科学方法,以阐明反馈过程以及用户和提供者的经验;以及(4)卫生政策和系统研究,以澄清与反馈系统与质量保证和人力资源管理相结合有关的问题。在数据分析过程中,将整合定性和定量结果,以帮助实现研究目标。将使用一个趋同的混合方法模型对定性和定量数据进行分析,包括对多个数据集进行连续的三角测量,以促进更好地了解用户反馈系统的背景,包括与相关政策、做法和方案的联系。伦理批准获得了利兹大学和孟加拉国医学研究理事会。本研究收集的所有数据均将匿名,最终手稿或报告中不会出现受访者的识别特征。研究结果将在科学会议上发表,并发表在同行评审的期刊上。
Responsiveness to service users’ views is a widely recognised objective of health systems. A key component of responsive health systems is effective interaction between users and service providers. Despite a growing literature on patient feedback from high-income settings, less is known about effectiveness of such systems in low-income and middle-income countries. This paper disseminates the protocol for an 18-month ‘RESPOND’ project that aims to evaluate the system of collecting and responding to user feedback in Bangladesh. This mixed-method study uses a realist evaluation approach to examine user feedback systems at two Upazila health complexes in Comilla District of Bangladesh, and comprises three steps: (1) initial theory development; (2) theory validation; and (3) theory refinement and development of lessons learnt. The project also uses (1) process evaluation to understand causal mechanisms and contexts of implementation; (2) statistical analysis of patient feedback to clarify the nature of issues reported; (3) social science methods to illuminate feedback processes and user and provider experiences; and (4) health policy and systems research to clarify issues related to integration of feedback systems with quality assurance and human resource management. During data analysis, qualitative and quantitative findings will be integrated throughout to help achieve study objectives. Analysis of qualitative and quantitative data will be done using a convergent mixed-methods model, involving continuous triangulation of multiple data sets to facilitate greater understanding of the context of user feedback systems including the links with relevant policies, practices and programmes. Ethics approvals were obtained from the University of Leeds and the Bangladesh Medical Research Council. All data collected for this study will be anonymised, and identifying characteristics of respondents will not appear in a final manuscript or reports. The study findings will be presented at scientific conferences and published in peer-reviewed journals.
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