Related Experiment Video
Updated: Nov 5, 2025
08:51
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
1.7K
Methods of analyzing patterns of multimorbidity using network analysis: a scoping review protocol
Imogen Jones1, Fiona Cocker2, Matthew D Jose2
1Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
JBI Evidence Synthesis
|May 18, 2021
Summary
This review summarizes network analysis techniques for multimorbidity, aiming to guide the development of a standard methodology for analyzing chronic disease relationships.
Area of Science:
- Health Services Research
- Computational Biology
- Epidemiology
Background:
- Multimorbidity, the co-occurrence of multiple chronic conditions, is a growing public health concern.
- Network analysis is increasingly used to explore complex relationships between chronic illnesses.
- Current methods for network analysis of multimorbidity lack standardization.
Purpose of the Study:
- To systematically review and summarize existing network analysis techniques applied to multimorbidity.
- To identify common approaches and variations in methodology for network analysis of chronic health conditions.
- To provide a foundation for developing a standardized methodology in this field.
Main Methods:
- Literature search across major databases (MEDLINE, ScienceDirect, Scopus, PsycINFO) up to October 2020.
- Inclusion of studies using network analysis for multiple chronic conditions, excluding those with an index condition or biological/genomic data.
- Extraction of data on study characteristics, data types, and methodological details.
Main Results:
- The review synthesizes various network analysis techniques applied to multimorbidity data.
- Identifies diverse measures of association and software used in network construction.
- Highlights methodological considerations and variations in current practice.
Conclusions:
- A standardized methodology for network analysis of multimorbidity is needed.
- This review provides a comprehensive overview to inform the development of such a standard.
- Further research can build upon these findings to enhance the analysis of complex chronic disease relationships.
