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• W4386737785 startingPage "e0291366" @default.
• W4386737785 abstract "Whole disease models (WDM) are large-scale, system-level models which can evaluate multiple decision questions across an entire care pathway. Whilst this type of model can offer several advantages as a platform for undertaking economic analyses, the availability and quality of existing WDMs is unknown.This systematic review aimed to identify existing WDMs to explore which disease areas they cover, to critically assess the quality of these models and provide recommendations for future research.An electronic search was performed on multiple databases (MEDLINE, EMBASE, the NHS Economic Evaluation Database and the Health Technology Assessment database) on 23rd July 2023. Two independent reviewers selected studies for inclusion. Study quality was assessed using the National Institute for Health and Care Excellence (NICE) appraisal checklist for economic evaluations. Model characteristics were descriptively summarised.Forty-four WDMs were identified, of which thirty-two were developed after 2010. The main disease areas covered by existing WDMs are heart disease, cancer, acquired immune deficiency syndrome and metabolic disease. The quality of included WDMs is generally low. Common limitations included failure to consider the harms and costs of adverse events (AEs) of interventions, lack of probabilistic sensitivity analysis (PSA) and poor reporting.There has been an increase in the number of WDMs since 2010. However, their quality is generally low which means they may require significant modification before they could be re-used, such as modelling AEs of interventions and incorporation of PSA. Sufficient details of the WDMs need to be reported to allow future reuse/adaptation." @default.
• W4386737785 created "2023-09-15" @default.
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• W4386737785 creator A5064133586 @default.
• W4386737785 creator A5081732229 @default.
• W4386737785 date "2023-09-14" @default.
• W4386737785 modified "2023-09-27" @default.
• W4386737785 title "A systematic review of whole disease models for informing healthcare resource allocation decisions" @default.
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• W4386737785 doi "https://doi.org/10.1371/journal.pone.0291366" @default.
• W4386737785 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37708188" @default.
• W4386737785 hasPublicationYear "2023" @default.
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