{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T16:07:42Z","timestamp":1785859662806,"version":"3.56.0"},"reference-count":46,"publisher":"F1000 Research Ltd","license":[{"start":{"date-parts":[[2020,9,16]],"date-time":"2020-09-16T00:00:00Z","timestamp":1600214400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010414","name":"Health Research Board","doi-asserted-by":"publisher","award":["RL2013\/016"],"award-info":[{"award-number":["RL2013\/016"]}],"id":[{"id":"10.13039\/100010414","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["hrbopenresearch.org"],"crossmark-restriction":false},"short-container-title":["HRB Open Res"],"abstract":"<ns4:p>\n                    <ns4:bold>Background:<\/ns4:bold>\n                    Spatial accessibility has consistently been shown to influence utilisation of care and health outcomes, compared against local population needs. We sought to identify how appropriately nursing homes (NHs) are distributed in Ireland, as its NH market lacks central planning.\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Methods:<\/ns4:bold>\n                    We used multiple criteria decision analysis (MCDA) approaches to develop composite indices of both access (incorporating measures of availability, choice, quality and affordability) and local NH need for over 65s (relating to the proportion living alone, with cognitive disabilities or with low self-rated health, estimated scores for activities of daily living and instrumental activities of daily living, the average number of disabilities per person and the average age of this group). Data for need were derived from census data. Results were mapped to better understand underlying geographical patterns.\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Results:<\/ns4:bold>\n                    By comparing local accessibility and need, underserved areas could be identified, which were clustered particularly in the country\u2019s northwest. Suburbs, particularly around Dublin, were by this measure relatively overserved.\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Conclusions:<\/ns4:bold>\n                    We have developed multi-dimensional indices of both accessibility to, and need for, nursing home care. This was carried out by combining granular, open data sources and elicited expert\/stakeholder opinion from practitioners. Mapping these data helped to highlight clear evidence of inequitable variation in nursing home distribution.\n                    <ns4:italic\/>\n                  <\/ns4:p>","DOI":"10.12688\/hrbopenres.13045.1","type":"journal-article","created":{"date-parts":[[2020,9,16]],"date-time":"2020-09-16T07:22:26Z","timestamp":1600240946000},"page":"65","update-policy":"https:\/\/doi.org\/10.12688\/hrbopenres.crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Developing composite indices of geographical access and need for nursing home care in Ireland using multiple criteria decision analysis"],"prefix":"10.12688","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0033-517X","authenticated-orcid":false,"given":"Brian 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The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","order":2,"name":"grant-information","label":"Grant Information"},{"value":"This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.","order":0,"name":"copyright-info","label":"Copyright"}]}}