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Combining Geospatial Analysis with Dementia Risk Utilising General Practice Data: A Systematic Review

Bagheri, Nasser; Wangdi, Kinley; Cherbuin, Nicolas; Anstey, Kaarin

Description

Geographical information systems (GIS) and geospatial analysis techniques will help to identify significant dementia risk clusters (hotspots) across communities and will enable policy makers to target prevention interventions to the right place. This review synthesises the published literature on geospatial analysis techniques for quantifying and mapping dementia risk, and reviews available dementia risk assessment tools. A systematic literature review was undertaken in four medical and life...[Show more]

dc.contributor.authorBagheri, Nasser
dc.contributor.authorWangdi, Kinley
dc.contributor.authorCherbuin, Nicolas
dc.contributor.authorAnstey, Kaarin
dc.date.accessioned2021-03-18T01:52:07Z
dc.identifier.citationBagheri, N., Wangdi, K., Cherbuin, N. et al. Combining Geospatial Analysis with Dementia Risk Utilising General Practice Data: A Systematic Review. J Prev Alzheimers Dis 5, 71–77 (2018). https://doi.org/10.14283/jpad.2017.33
dc.identifier.issn2426-0266
dc.identifier.urihttp://hdl.handle.net/1885/227275
dc.description.abstractGeographical information systems (GIS) and geospatial analysis techniques will help to identify significant dementia risk clusters (hotspots) across communities and will enable policy makers to target prevention interventions to the right place. This review synthesises the published literature on geospatial analysis techniques for quantifying and mapping dementia risk, and reviews available dementia risk assessment tools. A systematic literature review was undertaken in four medical and life sciences databases (PubMed, Cochrane Central, Embase, and Web of Sciences) from their inception to March 2017 for all articles relating to dementia. The search terms included: ‘dementia’, ‘Alzheimer’s disease’, ‘general practice database’, ‘family physician’, ‘AD risk assessment tools’, ‘Geographical Information Systems’ and ‘geospatial analysis’, ‘geographical variation’ and ‘spatial variation’. To date, most geospatial studies on dementia have been carried out retrospectively using population based data. An alternative approach is utilisation of a rich source of general practice (family physician) databases to predict dementia risk based on available dementia risk assessment tools. In conclusion, the estimated risks of dementia can thus be geo-attributed and mapped at a small scale using geographical information systems and geospatial analysis techniques to identify dementia risk clusters across the communities and refine our understanding of the interaction between socio-demographic and environmental factors, and dementia risk clusters.
dc.description.sponsorshipThis study was funded by the BB and A Miller Grant (Lifestyle) from Australia Alzheimer’s Australia Dementia Research Funding (ADDRF). We also thank the Australian Research Council for funding GP data collection through Dr Bagheri’s Discovery Early Career Research Award (DE140101570).
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherSerdi
dc.rights© 2017, Serdi and Springer-Verlag France SAS, part of Springer Nature
dc.sourceThe Journal of Prevention of Alzheimer's Disease
dc.subjectDementia risk assessment
dc.subjectgeospatial analysis
dc.subjecthotspots
dc.subjectgeneral practice data
dc.subjectspatial analysis
dc.titleCombining Geospatial Analysis with Dementia Risk Utilising General Practice Data: A Systematic Review
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume5
dcterms.dateAccepted2017-07-18
dc.date.issued2017-09-21
local.identifier.absfor170299 - Cognitive Science not elsewhere classified
local.identifier.ariespublicationu4492120xPUB210
local.publisher.urlhttps://link.springer.com/
local.type.statusPublished Version
local.contributor.affiliationBagheri, Nasser, College of Health and Medicine, ANU
local.contributor.affiliationWangdi, Kinley, College of Health and Medicine, ANU
local.contributor.affiliationCherbuin, Nicolas, College of Health and Medicine, ANU
local.contributor.affiliationAnstey, Kaarin, College of Health and Medicine, ANU
local.description.embargo2099-12-31
dc.relationhttp://purl.org/au-research/grants/arc/DE140101570
local.bibliographicCitation.issue1
local.bibliographicCitation.startpage71
local.bibliographicCitation.lastpage77
local.identifier.doi10.14283/jpad.2017.33
local.identifier.absseo920412 - Preventive Medicine
dc.date.updated2020-11-23T11:36:51Z
CollectionsANU Research Publications

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