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


Journal

JBI evidence synthesis
ISSN: 2689-8381
Titre abrégé: JBI Evid Synth
Pays: United States
ID NLM: 101764819

Informations de publication

Date de publication:
10 2021
Historique:
pubmed: 19 5 2021
medline: 3 11 2021
entrez: 18 5 2021
Statut: ppublish

Résumé

The purpose of this review is to summarize the techniques used for network analysis of multimorbidity to inform development of a standard methodology. 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. 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. Databases searched will include MEDLINE, ScienceDirect, 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.

Identifiants

pubmed: 34001778
doi: 10.11124/JBIES-20-00498
pii: 02174543-900000000-99652
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2857-2862

Informations de copyright

Copyright © 2021 JBI.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Références

Van den Akker M BF, Knottnerus JA. Comorbidity or multimorbidity: what's in a name? A review of literature. Eur J Gen Pract 1996;2 (2):5.
Nicholson K, Makovski TT, Griffith LE, Raina P, Stranges S, van den Akker M. Multimorbidity and comorbidity revisited: refining the concepts for international health research. J Clin Epidemiol 2019;105:142–146.
Busija L, Lim K, Szoeke C, Sanders KM, McCabe MP. Do replicable profiles of multimorbidity exist? Systematic review and synthesis. Eur J Epidemiol 2019;34 (11):1025–1053.
Prados-Torres A, Calderon-Larranaga A, Hancco-Saavedra J, Poblador-Plou B, van den Akker M. Multimorbidity patterns: a systematic review. J Clin Epidemiol 2014;67 (3):254–266.
Trninić VJI, Štalec J. Appropriateness and limitations of factor analysis methods utilized in psychology and kinesiology: Part II. Fizička Kultura 2013;67 (1):1–7.
Birk JL, Kronish IM, Moise N, Falzon L, Yoon S, Davidson KW. Depression and multimorbidity: considering temporal characteristics of the associations between depression and multiple chronic diseases. Health Psychol 2019;38 (9):802–811.
Held FP, Blyth F, Gnjidic D, Hirani V, Naganathan V, Waite LM, et al. Association rules analysis of comorbidity and multimorbidity: The Concord Health and Aging in Men Project. J Gerontol A Biol Sci Med Sci 2016;71 (5):625–631.
Hernandez B, Reilly RB, Kenny RA. Investigation of multimorbidity and prevalent disease combinations in older Irish adults using network analysis and association rules. Sci Rep 2019;9 (1):14567.
Schafer I, Kaduszkiewicz H, Wagner HO, Schon G, Scherer M, van den Bussche H. Reducing complexity: a visualisation of multimorbidity by combining disease clusters and triads. BMC Pub Health 2014;14:1285.
Kalgotra P, Sharda R, Croff JM. Examining health disparities by gender: a multimorbidity network analysis of electronic medical record. Int J Med Inform 2017;108:22–28.
Aromataris E, Munn Z, editors. JBI Manual for Evidence Synthesis [internet]. Adelaide: JBI; 2020 [cited 2020 Oct 20]. Available from: https://synthesismanual.jbi.global.
Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med 2018;169 (7):467–473.

Auteurs

Imogen Jones (I)

Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.

Fiona Cocker (F)

School of Medicine, University of Tasmania, Hobart, TAS, Australia.

Matthew D Jose (MD)

School of Medicine, University of Tasmania, Hobart, TAS, Australia.

Michael A Charleston (MA)

School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia.

Amanda Neil (A)

Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH