Use of geographical information systems in multiple sclerosis research: A systematic scoping review.

Ggeographical information systems Health geography Multiple sclerosis Spatial analysis

Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 01 10 2020
revised: 06 03 2021
accepted: 14 03 2021
pubmed: 5 4 2021
medline: 8 7 2021
entrez: 4 4 2021
Statut: ppublish

Résumé

Geographical information system (GIS) and spatial analysis have an emerging role in the understanding and management of health-related outcomes. However, there is a knowledge gap about the extent to which GIS has supported multiple Sclerosis (MS) research. Therefore, this review aimed to explore the types of GIS applications and the complexity of their visualisation in MS research. A systematic scoping review was conducted based on York's five-stage framework. PubMed, Scopus and Web of Science were searched for relevant studies published between 2000 and 2020 using a comprehensive search strategy based on the main concepts related to GIS and MS. Grounded, inductive analysis was conducted to organize studies into meaningful application areas. Further, we developed a tool to assess the visualisation complexity of the selected papers. Of 3,723 identified unique citations, 42 papers met our inclusion criteria for the final review. One or more of the following types of GIS applications were reported by these studies: (a) thematic mapping (37 papers); (b) spatial cluster detection (16 papers); (c) risk factors detection (16 papers); and (d) health access and planning (two papers). In the majority of studies (88%), the score of visualisation complexity was relatively low: three or less from the range of zero to six. Although the number of studies using GIS techniques has dramatically increased in the last decade, the use of GIS in the areas of MS access and planning is still under-researched. Additionally, the capacity of GIS in visualising complex nature of MS care system is not yet fully investigated.

Identifiants

pubmed: 33813094
pii: S2211-0348(21)00176-0
doi: 10.1016/j.msard.2021.102909
pii:
doi:

Types de publication

Journal Article Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102909

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that there is no conflict of interest. This work was supported by Incubator Grant funded by MS Research Australia (application number: 19–0656). Title of the project: Analysis and mapping of service availability and pattern of care for multiple sclerosis in the Australian Capital Territory region.

Auteurs

Soheil Hashtarkhani (S)

Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia; Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Hossein Tabatabaei-Jafari (H)

Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.

Behzad Kiani (B)

Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

MaryAnne Furst (M)

Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.

Luis Salvador-Carulla (L)

Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.

Nasser Bagheri (N)

Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia. Electronic address: Nasser.bagheri@anu.edu.au.

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Classifications MeSH