Potential uses of Bayesian networks as tools for synthesis of systematic reviews of complex interventions

Stewart, G.B., Mengersen, K., & Meader, N. (2014) Potential uses of Bayesian networks as tools for synthesis of systematic reviews of complex interventions. Research Synthesis Methods, 5(1), pp. 1-12.

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Abstract

Bayesian networks (BNs) are tools for representing expert knowledge or evidence. They are especially useful for synthesising evidence or belief concerning a complex intervention, assessing the sensitivity of outcomes to different situations or contextual frameworks and framing decision problems that involve alternative types of intervention.

Bayesian networks are useful extensions to logic maps when initiating a review or to facilitate synthesis and bridge the gap between evidence acquisition and decision-making. Formal elicitation techniques allow development of BNs on the basis of expert opinion. Such applications are useful alternatives to ‘empty’ reviews, which identify knowledge gaps but fail to support decision-making. Where review evidence exists, it can inform the development of a BN.

We illustrate the construction of a BN using a motivating example that demonstrates how BNs can ensure coherence, transparently structure the problem addressed by a complex intervention and assess sensitivity to context, all of which are critical components of robust reviews of complex interventions. We suggest that BNs should be utilised to routinely synthesise reviews of complex interventions or empty reviews where decisions must be made despite poor evidence.

Impact and interest:

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4 citations in Web of Science®

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ID Code: 88848
Item Type: Journal Article
Refereed: Yes
Keywords: directed graphs;decision models;evidence informed decision making;systematic review;narrative synthesis;meta-analysis
DOI: 10.1002/jrsm.1087
ISSN: 1759-2879
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 13 Oct 2015 00:38
Last Modified: 13 Oct 2015 00:45

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