{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T13:00:12Z","timestamp":1790773212457,"version":"4.1.0"},"reference-count":40,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T00:00:00Z","timestamp":1776902400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Dementia prevalence is increasing in Australia. It is unknown whether there are hotspots for dementia in metropolitan or non-metropolitan areas. This knowledge is important for healthcare planning.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This paper will examine where hotspots for self-reported dementia in Australia are, and whether they are adequately serviced by multidisciplinary memory clinics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We used self-reported dementia data from the 2021 Australian Census at the local government area (LGA) level. LGAs represent public administrative regions within Australian states and territories. Standardized prevalence ratios (SPR) were calculated for each LGA by dividing the number of self-reported cases by the expected number of cases. Spatial relationships were investigated with Bayesian spatial regression using integrated nested Laplace approximations. Memory clinics were located using Australian Dementia Network and government websites.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Self-reported dementia prevalence was lower in metropolitan areas (72.3 per 10,000) compared to non-metropolitan areas (79.9 per 10,000). There are 108 multidisciplinary memory clinics in Australia, 83 of which are metropolitan. Hotspots for self-reported dementia occurred in non-metropolitan east coast of New South Wales (SPR: 2.13), southeast Queensland (SPR: 1.72), and northwest of greater city Adelaide (SPR: 2.55). LGAs in major cities had lower SPRs (Melbourne: 0.40; Sydney: 0.45), apart from Western Adelaide (SPR: 1.88).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Hotspots for self-reported dementia were mainly in non-metropolitan Australia, whereas memory clinic services were mostly in metropolitan areas, raising issues of equity and access to services.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877261444254","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T14:28:59Z","timestamp":1776954539000},"page":"1760-1771","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Mapping hotspots of self-reported dementia and memory clinics across Australia"],"prefix":"10.1177","volume":"111","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6951-2577","authenticated-orcid":false,"given":"Albert L. G.","family":"Phan","sequence":"first","affiliation":[{"name":"Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia"},{"name":"School of Clinical Sciences at Monash Health"},{"name":"Monash University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Beare","sequence":"additional","affiliation":[{"name":"Murdoch Children's Research Institute"},{"name":"Monash University"},{"name":"National Centre for Healthy Ageing, Melbourne, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henry","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Clinical Sciences at Monash Health"},{"name":"Monash University"},{"name":"Monash Health"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Velandai","family":"Srikanth","sequence":"additional","affiliation":[{"name":"Murdoch Children's Research Institute"},{"name":"Monash University"},{"name":"National Centre for Healthy Ageing, Melbourne, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thanh G.","family":"Phan","sequence":"additional","affiliation":[{"name":"School of Clinical Sciences at Monash Health"},{"name":"Monash University"},{"name":"Monash Health"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,4,23]]},"reference":[{"key":"e_1_3_3_2_2","volume-title":"Dementia in Australia","author":"Australian Institute of Health and Welfare","year":"2024","unstructured":"Australian Institute of Health and Welfare. 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Modified Monash Model https:\/\/www.health.gov.au\/topics\/rural-health-workforce\/classifications\/mmm?language=en (2025 accessed November 17 2025)."},{"key":"e_1_3_3_10_2","unstructured":"Victoria Department of Health. Local Public Health Units https:\/\/www.health.vic.gov.au\/local-public-health-units (2025 accessed November 25 2025)."},{"key":"e_1_3_3_11_2","unstructured":"Public Health Information Development Unit (PHIDU). Social Health Atlas of Australia: Local Government Areas. https:\/\/phidu.torrens.edu.au\/social-health-atlases\/data#social-health-atlases-of-australia-local-government-areas (2023 accessed February 2 2024)."},{"key":"e_1_3_3_12_2","unstructured":"NSW Ministry of Health. Privacy issues and the reporting of small numbers https:\/\/www.health.nsw.gov.au\/hsnsw\/Publications\/privacy-small-numbers.pdf (2015 accessed November 27 2025)."},{"key":"e_1_3_3_13_2","unstructured":"Australian Dementia Network. Memory Clinic or Cognition Decline Assessment Service https:\/\/www.australiandementianetwork.org.au\/initiatives\/clinical-quality-registry\/find-a-clinic-or-service\/ (2024 accessed November 3 2025)."},{"key":"e_1_3_3_14_2","unstructured":"Canberra Health Services. Memory Assessment Service https:\/\/www.canberrahealthservices.act.gov.au\/services-and-clinics\/services\/memory-assessment-service (2024 accessed June 16 2024)."},{"key":"e_1_3_3_15_2","unstructured":"Northern Territory Government of Australia. Dementia services https:\/\/nt.gov.au\/wellbeing\/hospitals-health-services\/dementia-services (2024 accessed 16\/06\/2024 2024)."},{"key":"e_1_3_3_16_2","unstructured":"Victoria State Government Department of Health and Human Services. CDAMS Brochure https:\/\/www.health.vic.gov.au\/publications\/cdams-brochure (2018 accessed June 16 2024)."},{"key":"e_1_3_3_17_2","unstructured":"Australian Institute of Health and Welfare. Aged care service list: 30 June 2021 https:\/\/www.gen-agedcaredata.gov.au\/resources\/access-data\/2021\/october\/aged-care-service-list-30-june-2021 (2021 accessed 18\/09\/2024 2024)."},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxl008"},{"key":"e_1_3_3_19_2","article-title":"An analytical process of spatial autocorrelation functions based on Moran's index","volume":"16","author":"Chen Y","year":"2021","unstructured":"Chen Y. An analytical process of spatial autocorrelation functions based on Moran's index. PLoS One 2021; 16: e0249589.","journal-title":"PLoS One"},{"key":"e_1_3_3_20_2","volume-title":"Spatial Correlation: A Suggested Alternative to the Autoregressive Model","author":"Kelejian HH","year":"1995","unstructured":"Kelejian HH, Robinson DP. Spatial Correlation: A Suggested Alternative to the Autoregressive Model. 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