Tsang, Anthony and Maden, Michelle 
ORCID: 0000-0003-4419-6343
(2021)
CLUSTER
searching approach to inform evidence syntheses: A methodological review.
Research Synthesis Methods, 12 (5).
pp. 576-589.
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CLUSTER searching approach to inform evidence syntheses A methodological review.pdf - Author Accepted Manuscript Download (331kB) | Preview |
Abstract
<h4>Background</h4>The CLUSTER model of searching was proposed as a systematic method of searching for studies for reviews of complex interventions.<h4>Aim</h4>The method has not been evaluated before. This methodological review identified and evaluated a sample of evidence syntheses that have used CLUSTER.<h4>Methods</h4>A forward citation search on the seed CLUSTER publication was conducted on Web of Science Core Collection using six journal citation indexes and Google Scholar in December 2020. Reviews which used the CLUSTER method were eligible for inclusion. A narrative synthesis was used to describe the types of evidence syntheses that used CLUSTER searching, the extent to which the CLUSTER approach has been operationalised within evidence syntheses and whether the value, benefits and limitations of CLUSTER were assessed by the reviewers.<h4>Findings</h4>A total of 16 reviews were identified and eligible for synthesis. Six different review types that used CLUSTER were identified with realist reviews being the most prominent. The evaluation of complex interventions was the most common review topic area. The use of CLUSTER varied among reviews with the retrieval of sibling studies being the most common reason. 'Citations' and 'Lead authors' were the most followed elements of CLUSTER.<h4>Conclusions</h4>Evidence suggests that CLUSTER has been adopted for use in reviews of complex interventions. Its usage varied among the included reviews. It is imperative that future reviewers diligently report the elements and steps of CLUSTER that were utilised in order to provide a reproducible and transparent search strategy that can be reported with similar transparency to bibliographic database searches.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Research Design, Databases, Bibliographic |
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Population Health |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 16 Jun 2021 08:56 |
| Last Modified: | 19 Jan 2024 04:05 |
| DOI: | 10.1002/jrsm.1502 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3126485 |
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