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Methods of analyzing patterns of multimorbidity using network analysis: a scoping review protocol


Jones, I and Cocker, F and Jose, MD and Charleston, MA and Neil, A, Methods of analyzing patterns of multimorbidity using network analysis: a scoping review protocol, JBI Evidence Synthesis, 19, (10) pp. 2857-2862. ISSN 2689-8381 (2021) [Refereed Article]

Copyright Statement

Copyright 2021 JBI

DOI: doi:10.11124/JBIES-20-00498


Objective: The purpose of this review is to summarize the techniques used for network analysis of multimorbidity to inform development of a standard methodology.

Introduction: There is a growing trend of using network analysis to investigate relationships between chronic illnesses in people with multimorbidities. However, there is currently no recommended approach to calculating and displaying networks of chronic health conditions. This review intends to summarize the current literature to further the development of a standard methodology.

Inclusion criteria: Studies will be included if they investigated the relationships between multiple chronic health conditions without referring to an index condition, using network analysis techniques. Studies using both survey and administrative data will be included. Studies including biological or genomic data sets will not be included as they are out of scope.

Methods: Databases searched will include PubMed (MEDLINE), Science Direct, Scopus, and PsycINFO. All relevant publications will be included provided they were published before October 2020. Publications from all languages will be included where an appropriate translation in English can be obtained. Data extracted will include country of origin, type of data used, measure of association, software used, and notes on any specific points of methodological interest relevant to the review question.

Item Details

Item Type:Refereed Article
Keywords:comorbidity, multimorbidity, network analysis
Research Division:Health Sciences
Research Group:Health services and systems
Research Field:Health informatics and information systems
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Applied computing
UTAS Author:Jones, I (Ms Imogen Jones)
UTAS Author:Cocker, F (Dr Fiona Cocker)
UTAS Author:Jose, MD (Professor Matthew Jose)
UTAS Author:Charleston, MA (Professor Michael Charleston)
UTAS Author:Neil, A (Associate Professor Amanda Neil)
ID Code:145116
Year Published:2021
Web of Science® Times Cited:1
Deposited By:Menzies Institute for Medical Research
Deposited On:2021-07-01
Last Modified:2022-08-17

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