Evidence & Policy
A journal of research, debate and practice

Testing methodological developments in the conduct of narrative synthesis: a demonstration review of research on the implementation of smoke alarm interventions

View author details View Less
  • 1 Social Science Research Unit, Institute of Education, University of London, , UK
  • | 2 Peninsula Medical School, Universities of Exeter and Plymouth, , UK
  • | 3 Institute for Health Research, Lancaster University, , UK
  • | 4 Social Science Research Unit, Institute of Education, University of London
  • | 5 MRC Social and Public Health Sciences Unit, University of Glasgow, , UK
  • | 6 Centre for Reviews and Dissemination, University of York, , UK
Full Access
Get eTOC alerts
Rights and permissions Cite this article

English

In the context of systematic reviews, statistical meta-analysis of findings is not always possible. Where this is the case, or where a review of implementation evidence is required, narrative synthesis of data is typically undertaken. Drawing on recently developed guidance aimed at those undertaking data synthesis – and information on the implementation of domestic smoke detectors – we present findings from a demonstration of the tools and techniques that can be used in a narrative synthesis. The work demonstrates how this process can be made more transparent, and suggests that using the tools and techniques can improve the quality of narrative synthesis.

  • 1 Social Science Research Unit, Institute of Education, University of London, , UK
  • | 2 Peninsula Medical School, Universities of Exeter and Plymouth, , UK
  • | 3 Institute for Health Research, Lancaster University, , UK
  • | 4 Social Science Research Unit, Institute of Education, University of London
  • | 5 MRC Social and Public Health Sciences Unit, University of Glasgow, , UK
  • | 6 Centre for Reviews and Dissemination, University of York, , UK

At the time of writing this article, Lisa Arai and Helen Roberts were based in the Child Health Research and Policy Unit, City University, London.

Content Metrics

May 2022 onwards Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 30 30 30
PDF Downloads 14 14 14

Altmetrics

Dimensions