Cited by 20Meta-analysis and systematic reviewsEvaluation and Performance AssessmentHealth Policy Implementation Science

Searching for Programme theories for a realist evaluation: a case study comparing an academic database search and a simple Google search

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Coleman, Susanne, Wright, Judy M., Nixon, Jane, Schoonhoven, Lisette, Twiddy, Maureen, Greenhalgh, Joanne·2020·BMC Medical Research Methodology

Published version of a preprint

Abstract

Background: Realist methodologies are increasingly being used to evaluate complex interventions in health and social care. Programme theory (ideas and assumptions of how a particular intervention works) development is the first step in a realist evaluation or a realist synthesis, with literature reviews providing important evidence to support this. Deciding how to search for programme theories is challenging and there is limited guidance available. Using an example of identifying programme theories for a realist evaluation of Pressure Ulcer Risk Assessment Instruments in clinical practice, the authors explore and compare several different approaches to literature searching and highlight important methodological considerations for those embarking on a programme theory review. Methods: We compared the performance of an academic database search with a simple Google search and developed an optimised search strategy for the identification primary references (i.e. documents providing the clearest examples of programme theories) associated with the use of Pressure Ulcer Risk Assessment Instruments (PU-RAIs). We identified the number of primary references and the total number of references retrieved per source. We then calculated the number needed to read (NNR) expressed as the total number of titles and abstracts screened to identify one relevant reference from each source. Results: The academic database search (comprising CINAHL, The Cochrane Library, EMBASE, HMIC, Medline) identified 2 /10 primary references with a NNR of 1395.The Google search identified 7/10 primary references with a NNR of 10.1. The combined NNR was 286.3. The optimised search combining Google and CINAHL identified 10/10 primary references with a NNR of 40.2. Conclusion: The striking difference between the efficiency of the review’s academic database and Google searches in finding relevant references prompted an in-depth comparison of the two types of search. The findings indicate the importance of including grey literature sources such as Google in this particular programme theory search, while acknowledging the need for transparency of methods. Further research is needed to facilitate improved guidance for programme theory searches to enhance practice in the realist field and to save researcher time and therefore resource.

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  1. Pawson R, Tilley N. Realist Evaluation. Editor: B.C. Office; 2004. http://www.communitymatters.com.au/RE_chapter.pdf.
  2. Lefebvre C, et al., Chapter 6: Searching for studies. In: Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane-handbook.org, 2011.
  3. Moore ZE, Cowman S. Risk assessment tools for the prevention of pressure ulcers. Cochrane Database Syst Rev. 2014;2:CD006471.
  4. Bethel A and R. M, Search summary table for systematic reviews (SRs). In: Filtering the information overload for better decisions. , in Abstracts of the 23rd Cochrane Colloquium. 2015, John Wiley & Sons: Vienna, Austria. .
  5. Fletcher J. An overview of pressure ulcer risk assessment tools. Wounds UK. 2017;13(1):18–26.
  6. NPUAP/EPUAP/PPPIA, Risk factors and risk assessment chapter..

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Authors
Coleman, S., Wright, J. M., Nixon, J., Schoonhoven, L., Twiddy, M., & Greenhalgh, J.
Affiliations
  • University of Leeds (GB)
  • University Medical Center Utrecht (NL)
  • University of Hull (GB)
Corresponding author
Coleman, Susanne
Venue
BMC Medical Research Methodology
Published
2020-08-26
Volume
20
Issue
1
Pages
217-217
ISSN
1471-2288 (ISSN-L)
OpenAlex
W3044445168
Cited by
20
References
35
Citations by year
2026: 6 · 2025: 2 · 2024: 4 · 2023: 3 · 2022: 2 · 2021: 3
FWCI
1.21
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Research Methodology (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Repository@Hull (Worktribe) (University of Hull) (publishedVersion, other-oa)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • Repository@Hull (Worktribe) (University of Hull) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Research Trainees Coordinating Centre (PDF 2016-09-054)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
Keywords
program theory, realist evaluation, literature searching, Google search, number needed to read, grey literature, complex interventions
MeSH terms
Humans, Publications, Databases, Factual, MEDLINE

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