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

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          Abstract

          Introduction

          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.

          Methodology and analysis

          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 and dissemination

          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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          Most cited references24

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          Qualitative data analysis for applied policy research

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            Overcoming health-systems constraints to achieve the Millennium Development Goals.

            Effective interventions exist for many priority health problems in low income countries; prices are falling, and funds are increasing. However, progress towards agreed health goals remains slow. There is increasing consensus that stronger health systems are key to achieving improved health outcomes. There is much less agreement on quite how to strengthen them. Part of the challenge is to get existing and emerging knowledge about more (and less) effective strategies into practice. The evidence base also remains remarkably weak, partly because health-systems research has an image problem. The forthcoming Ministerial Summit on Health Research seeks to help define a learning agenda for health systems, so that by 2015, substantial progress will have been made to reducing the system constraints to achieving the MDGs.
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              Theory-Based Evaluation and Types of Complexity

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2017
                5 July 2017
                : 7
                : 6
                : e017743
                Affiliations
                [1 ] Nuffield Centre for International Health and Development, University of Leeds , Leeds, UK
                [2 ] ARK Foundation , Dhaka, Bangladesh
                [3 ] departmentDepartment of Economics , University of Dhaka , Dhaka, Bangladesh
                Author notes
                [Correspondence to ] Dr Bassey Ebenso; b.e.ebenso@ 123456leeds.ac.uk
                Author information
                http://orcid.org/0000-0003-4147-0968
                Article
                bmjopen-2017-017743
                10.1136/bmjopen-2017-017743
                5734574
                28679679
                8317039a-d499-48a1-839f-4a4ebfc1c9e1
                © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

                This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/

                History
                : 14 May 2017
                : 18 May 2017
                : 05 June 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Categories
                Patient-Centred Medicine
                Protocol
                1506
                1722
                Custom metadata
                unlocked

                Medicine
                realist evaluation,service user feedback,bangladesh,mixed methods,health systems responsiveness

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