A systematic review of model-based economic evaluations of treatments for venous leg ulcers

Layer, Ashley, McManus, Emma ORCID: https://orcid.org/0000-0002-3442-8721 and Levell, Nicholas ORCID: https://orcid.org/0000-0003-3393-8305 (2020) A systematic review of model-based economic evaluations of treatments for venous leg ulcers. PharmacoEconomics - Open, 4 (2). pp. 211-222. ISSN 2509-4262

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Objective: The aim of this review was to identify, and assess the quality of, published model-based economic evaluations relating to treatments for patients with venous leg ulcers to help inform future decision-analytic models in this clinical area. Methods: A systematic literature search was performed on six electronic databases, from database inception until 21 May 2018. Search results were screened against predefined criteria by two independent reviewers. Data was then extracted from the included studies using a standardised form, whilst the decision-analytic model-specific Philips Checklist was used to assess quality and to inform model critique. Results: A total of 23 models were identified, 12 studies used a Markov modelling approach, five used decision trees and six studies did not detail the model type. Studies were predominantly from the National Health Service (NHS)/payer perspective, with only two taking a societal perspective. Interventions were wide ranging, but dressing technologies (11/23) were most common. The intervention studied was found to be dominant in 22/23 studies. The reporting quality of papers was mostly low, with evidence behind model structures, time horizons and data selection consistently underreported across the included papers. Conclusions: This review has identified a sizeable literature of model-based economic evaluations, evaluating treatments for venous leg ulcers. However, the methods used to conduct such studies were generally poorly reported. In particular, the reporting of evidence surrounding the model structure, justification of the time horizon used and the rationale for selecting data inputs should be focused on in any future models developed.

Item Type: Article
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research
Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit
Faculty of Medicine and Health Sciences > Research Groups > Health Economics
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Depositing User: LivePure Connector
Date Deposited: 16 May 2019 08:30
Last Modified: 21 Oct 2022 22:41
URI: https://ueaeprints.uea.ac.uk/id/eprint/71012
DOI: 10.1007/s41669-019-0148-x

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