PMID- 37708188
OWN - NLM
STAT- MEDLINE
DCOM- 20230918
LR  - 20230920
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 18
IP  - 9
DP  - 2023
TI  - A systematic review of whole disease models for informing healthcare resource 
      allocation decisions.
PG  - e0291366
LID - 10.1371/journal.pone.0291366 [doi]
LID - e0291366
AB  - BACKGROUND: 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. 
      OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
CI  - Copyright: (c) 2023 Jin et al. This is an open access article distributed under the 
      terms of the Creative Commons Attribution License, which permits unrestricted 
      use, distribution, and reproduction in any medium, provided the original author 
      and source are credited.
FAU - Jin, Huajie
AU  - Jin H
AUID- ORCID: 0000-0002-3872-3998
AD  - King's Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience 
      at King's College London, London, United Kingdom.
FAU - Tappenden, Paul
AU  - Tappenden P
AD  - Health Economics and Decision Science, School of Health and Related Research, 
      University of Sheffield, Sheffield, United Kingdom.
FAU - Ling, Xiaoxiao
AU  - Ling X
AD  - Department of Statistical Science, University College London, London, United 
      Kingdom.
FAU - Robinson, Stewart
AU  - Robinson S
AD  - Newcastle University Business School, Newcastle, United Kingdom.
FAU - Byford, Sarah
AU  - Byford S
AUID- ORCID: 0000-0001-7084-1495
AD  - King's Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience 
      at King's College London, London, United Kingdom.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Systematic Review
DEP - 20230914
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Humans
MH  - *Acquired Immunodeficiency Syndrome
MH  - Checklist
MH  - Cost-Benefit Analysis
MH  - Critical Pathways
MH  - Resource Allocation
PMC - PMC10501624
COIS- The authors have declared that no competing interests exist.
EDAT- 2023/09/14 18:43
MHDA- 2023/09/18 12:42
PMCR- 2023/09/14
CRDT- 2023/09/14 13:44
PHST- 2022/08/08 00:00 [received]
PHST- 2023/08/28 00:00 [accepted]
PHST- 2023/09/18 12:42 [medline]
PHST- 2023/09/14 18:43 [pubmed]
PHST- 2023/09/14 13:44 [entrez]
PHST- 2023/09/14 00:00 [pmc-release]
AID - PONE-D-22-22167 [pii]
AID - 10.1371/journal.pone.0291366 [doi]
PST - epublish
SO  - PLoS One. 2023 Sep 14;18(9):e0291366. doi: 10.1371/journal.pone.0291366. 
      eCollection 2023.