Abstract
Objective
The objective of this systematic review was to identify and assess the quality of published economic decision–analytic models within atopic eczema against best practice guidelines, with the intention of informing future decision–analytic models within this condition.
Methods
A systematic search of the following online databases was performed: MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials, Database of Abstracts of Reviews of Effects, Cochrane Database of Systematic Reviews, NHS Economic Evaluation Database, EconLit, Scopus, Health Technology Assessment, Cost-Effectiveness Analysis Registry and Web of Science. Papers were eligible for inclusion if they described a decision–analytic model evaluating both the costs and benefits associated with an intervention or prevention for atopic eczema. Data were extracted using a standardised form by two independent reviewers, whilst quality was assessed using the model-specific Philips criteria.
Results
Twenty-four models were identified, evaluating either preventions (n = 12) or interventions (n = 12): 14 reported using a Markov modelling approach, four utilised decision trees and one a discrete event simulation, whilst five did not specify the approach. The majority, 22 studies, reported that the intervention was dominant or cost effective, given the assumptions and analytical perspective taken. Notably, the models tended to be short-term (16 used a time horizon of ≤1 year), often providing little justification for the limited time horizon chosen. The methodological and reporting quality of the studies was generally weak, with only seven studies fulfilling more than 50% of their applicable Philips criteria.
Conclusions
This is the first systematic review of decision models in eczema. Whilst the majority of models reported favourable outcomes in terms of the cost effectiveness of the new intervention, the usefulness of these findings for decision-making is questionable. In particular, there is considerable scope for increasing the range of interventions evaluated, for improving modelling structures and reporting quality.
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Acknowledgements
The following individuals are acknowledged as providing advice as research mentors (Professor Kim Thomas, Dr Nicky Welton, Professor Andrew Briggs), as part of the annual advisory panel (Dr Tom Kenny, Fiona McOwan, Jo Parris, Amanda Roberts, Professor Lee Shepstone, Professor Fujian Song and Dr Edward Wilson) and for contributing to the search strategy and data extraction (Mr Christopher McMonagle).
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The authors declare that they have no conflicts of interests.
Funding
This work was funded as part of Professor Tracey Sach’s Career Development Fellowship (CDF award-2014-07-006) supported by the National Institute for Health Research (NIHR). Further support was also received from the NIHR Collaboration for Leadership in Applied Health Research and Care East (NIHR CLAHRC EoE). The views expressed in this paper are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.
Author Contributions
EM contributed to the design of the study, carried out the searches, screening and data extraction, contributed to interpretation of data, and drafted and critically reviewed the paper. TS contributed to the design of the study, carried out the screening and data extraction, contributed to interpretation of data, and drafted and critically reviewed the paper. NL contributed to the design of the study and critically reviewed the paper.
Data Availability Statement
The search strategy used to conduct the systematic literature search is published elsewhere [10]. The unpopulated data extraction form used within this review, as well as the quality assessment form based on the Philips criteria can be found in Electronic Supplementary Material 1. The completed data extraction table for all of the studies included within this review can be found in Electronic Supplementary Material 2.
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McManus, E., Sach, T. & Levell, N. The Use of Decision–Analytic Models in Atopic Eczema: A Systematic Review and Critical Appraisal. PharmacoEconomics 36, 51–66 (2018). https://doi.org/10.1007/s40273-017-0564-7
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DOI: https://doi.org/10.1007/s40273-017-0564-7