{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T06:00:21Z","timestamp":1791957621441,"version":"4.3.4"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T00:00:00Z","timestamp":1786320000000},"content-version":"vor","delay-in-days":9,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The global prevalence of dementia is rising rapidly, placing increasing pressure on health and social care systems to deliver coordinated and equitable post-diagnostic support. In England, service fragmentation and workforce constraints limit the delivery of recommended care models. Non-clinical dementia navigator (DN) models have emerged as a potentially scalable approach to improve care coordination and access, yet evidence on their system-level impact remains limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We estimated the population of people with diagnosed dementia in England eligible for DN support between 2025 and 2030 using NHS data and projected prevalence trends. Eligibility was adjusted for undiagnosed cases, care home residents, and expected uptake. Costs of delivering DN-led care were derived from existing UK service models and unit costs, while potential savings were based on reductions in health-care utilisation observed in the US Care Ecosystem trial. Probabilistic sensitivity analyses were conducted to assess uncertainty.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The number of eligible individuals receiving DN support is projected to increase from 300 000 in 2025 to 360 000 in 2030. Delivering this model would require ~940 to 1120 link workers. Annual costs are estimated at \u00a3224 million in 2025, rising to \u00a3343 million in 2030. These are offset by estimated savings of \u00a31140 million and \u00a31750 million, respectively. Even under conservative assumptions, DN models generate net savings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Scaling up DN-led care in England could support large numbers of people with dementia while generating substantial health system savings. These findings suggest that navigator-based models offer a feasible and cost-saving approach to delivering coordinated post-diagnostic dementia care at scale.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ageing\/afag232","type":"journal-article","created":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T11:37:32Z","timestamp":1784633852000},"source":"Crossref","is-referenced-by-count":1,"title":["Primary care-based post diagnostic dementia care in England: modelling and scaling up evidence-based models for efficient future care"],"prefix":"10.1093","volume":"55","author":[{"given":"Magdalena","family":"Walbaum","sequence":"first","affiliation":[{"name":"Care Policy and Evaluation Centre - The London School of Economics and Political Science , London ,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2408-4558","authenticated-orcid":false,"given":"Derek","family":"King","sequence":"additional","affiliation":[{"name":"Care Policy and Evaluation Centre - The London School of Economics and Political Science , London ,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Louise","family":"Robinson","sequence":"additional","affiliation":[{"name":"Population Health Sciences - Newcastle University , Newcastle upon Tyne ,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Knapp","sequence":"additional","affiliation":[{"name":"Care Policy and Evaluation Centre - The London School of Economics and Political Science , London ,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raphael","family":"Wittenberg","sequence":"additional","affiliation":[{"name":"Care Policy and Evaluation Centre - The London School of Economics and Political Science , London ,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,8,10]]},"reference":[{"key":"2026081016275487800_ref1","doi-asserted-by":"publisher","first-page":"e105","DOI":"10.1016\/S2468-2667(21)00249-8","article-title":"Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the global burden of disease study 2019","volume":"7","author":"Nichols","year":"2022","journal-title":"Lancet Public Health"},{"key":"2026081016275487800_ref2","first-page":"29","volume-title":"Left to Cope Alone: The Unmet Support Needs after a Dementia 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