Evidence map›Paper›PMID 28679679›Full record

ArticleBMJ open2017

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

Bassey Ebenso, Rumana Huque, Zunayed Azdi, Helen Elsey, Shammi Nasreen, Tolib Mirzoev

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bassey EbensoNuffield Centre for International Health and Development, University of Leeds, Leeds, UK.ORCID 0000-0003-4147-0968
Rumana HuqueARK Foundation, Dhaka, Bangladesh.
Zunayed AzdiARK Foundation, Dhaka, Bangladesh.
Helen ElseyNuffield Centre for International Health and Development, University of Leeds, Leeds, UK.
Shammi NasreenARK Foundation, Dhaka, Bangladesh.
Tolib MirzoevNuffield Centre for International Health and Development, University of Leeds, Leeds, UK.

Funding

Medical Research Council MR/P004105/1Wellcome Trust
6 · The paper itself

Abstract

introductionResponsiveness 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 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.

Indexed as

FeedbackGovernment ProgramsProgram EvaluationBangladeshHealth PolicyHealth ServicesHumansResearch Designbangladeshhealth systems responsivenessmixed methodsrealist evaluationservice user feedback

Identifiers

PMID28679679
PMCPMC5734574

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.