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Erschienen in: Journal of Public Health 8/2023

21.01.2022 | Original Article

Methods of analysing patterns of multimorbidity using network analysis: a scoping review.

verfasst von: Imogen Jones, Fiona Cocker, Matthew Jose, Michael Charleston, Amanda L. Neil

Erschienen in: Journal of Public Health | Ausgabe 8/2023

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Abstract

Aim

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

Subject and method

Multimorbidity is the presence of two or more health conditions. Many techniques have been applied to investigate the relationships between health conditions in people with multimorbidity, including network analysis. Network analysis finds patterns in a complex set of variables and displays them in a visualization or network map. There is currently no recommended standard method for calculating and displaying networks in multimorbidity. Studies were included if they used a network analysis method to investigate the relationships between multiple illnesses in a population sample, without reference to a specific health condition.

Results

A total of 15 articles were found meeting inclusion criteria of which six were published in 2020. Not all articles defined multimorbidity or referred to multimorbidity. Several techniques were used to measure the association between conditions, including correlation coefficients and observed/expected ratios. R and Stata were the most popular software packages used. Some articles did not define their measure of association or mention which software package they used.

Conclusion

There is a need for a greater level of detail and transparency when reporting methodology and software used for network analysis of multimorbidity, and a formally recognised definition of multimorbidity. Further investigation into the most appropriate measure of association for use in network analysis in the context of multimorbidity is required to improve techniques investigating interactions between multiple health conditions.
Literatur
Zurück zum Zitat Allaire J, Ellis P, Gandrud C, Kuo K, Lewis B, Owen J, Russell K, Rogers J, Sese C, Yetman C (2017) Package ‘networkD3’. D3 JavaScript Network Graphs from R Allaire J, Ellis P, Gandrud C, Kuo K, Lewis B, Owen J, Russell K, Rogers J, Sese C, Yetman C (2017) Package ‘networkD3’. D3 JavaScript Network Graphs from R
Zurück zum Zitat Farrow-Chestnut T (2018) Defining multimorbidity space: structural characteristics, spatial variation of inpatient multimorbidity networks (imn), and coronary heart disease. Doctor of Philosophy, University of North Carolina at Charlotte Farrow-Chestnut T (2018) Defining multimorbidity space: structural characteristics, spatial variation of inpatient multimorbidity networks (imn), and coronary heart disease. Doctor of Philosophy, University of North Carolina at Charlotte
Zurück zum Zitat Held FP, Blyth F, Gnjidic D, Hirani V, Naganathan V, Waite LM, Seibel MJ, Rollo J, Handelsman DJ, Cumming RG, Le Couteur DG (2016) Association rules analysis of comorbidity and multimorbidity: the Concord health and aging in men project. J Gerontol A Biol Sci Med Sci 71(5):625–631. https://doi.org/10.1093/gerona/glv181CrossRefPubMed Held FP, Blyth F, Gnjidic D, Hirani V, Naganathan V, Waite LM, Seibel MJ, Rollo J, Handelsman DJ, Cumming RG, Le Couteur DG (2016) Association rules analysis of comorbidity and multimorbidity: the Concord health and aging in men project. J Gerontol A Biol Sci Med Sci 71(5):625–631. https://​doi.​org/​10.​1093/​gerona/​glv181CrossRefPubMed
Zurück zum Zitat Marzouki F, Bouattane O (2020) Multi-morbidity Analysis using Community Detection Approach: a Comparative study. 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), IEEE Marzouki F, Bouattane O (2020) Multi-morbidity Analysis using Community Detection Approach: a Comparative study. 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), IEEE
Zurück zum Zitat Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L, Hempel S, Akl EA, Chang C, McGowan J, Stewart L, Hartling L, Aldcroft A, Wilson MG, Garritty C et al (2018) PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med 169(7):467–473. https://doi.org/10.7326/M18-0850CrossRefPubMed Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L, Hempel S, Akl EA, Chang C, McGowan J, Stewart L, Hartling L, Aldcroft A, Wilson MG, Garritty C et al (2018) PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med 169(7):467–473. https://​doi.​org/​10.​7326/​M18-0850CrossRefPubMed
Zurück zum Zitat Trninić V, Štalec J (2013) Appropriateness and limitations of factor analysis methods utilized in psychology and kinesiology: part II. Fizička kultura 67(1):1–7CrossRef Trninić V, Štalec J (2013) Appropriateness and limitations of factor analysis methods utilized in psychology and kinesiology: part II. Fizička kultura 67(1):1–7CrossRef
Metadaten
Titel
Methods of analysing patterns of multimorbidity using network analysis: a scoping review.
verfasst von
Imogen Jones
Fiona Cocker
Matthew Jose
Michael Charleston
Amanda L. Neil
Publikationsdatum
21.01.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Public Health / Ausgabe 8/2023
Print ISSN: 2198-1833
Elektronische ISSN: 1613-2238
DOI
https://doi.org/10.1007/s10389-021-01685-w

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