Simulating the impact of preventive strategies for older persons' emergency care demands on health care utilisation, Amsterdam as Dutch use case.

Background Preventive strategies aim to reduce older adults' emergency department (ED) visits and related adverse health outcomes, but their impact on healthcare system utilisation remains unclear. This can be investigated using system dynamics modelling, which uses data to explore effects and test...

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Publicado en:Age & Ageing Vol. 55; no. 6; pp. 1 - 11
Autores principales: Smeekes, Oscar S, Boer, Tim R de, Willems, Hanna C, Mei, Rob D van der, Buurman, Bianca M
Formato: Artículo
Publicado: Oxford University Press / USA Jun2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2026
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      pub: Oxford University Press / USA
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        10.1093/ageing/afag162
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        atl: Simulating the impact of preventive strategies for older persons' emergency care demands on health care utilisation, Amsterdam as Dutch use case.
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        au:
          Smeekes, Oscar S
          Boer, Tim R de
          Willems, Hanna C
          Mei, Rob D van der
          Buurman, Bianca M
        affil:
          Amsterdam UMC location University of Amsterdam, Internal Medicine, section of Geriatric Medicine, Meibergdreef 9, Amsterdam, Netherlands
          Centrum Wiskunde & Informatica-Stochastics, Science Park 123, Amsterdam, Netherlands
          Amsterdam UMC location University of Amsterdam, Internal Medicine, section of Geriatric Medicine, Meibergdreef 9, Amsterdam, NetherlandsAmsterdam UMC location Vrije Universiteit Amsterdam, Medicine for Older People, Amsterdam Public Health Research Institute, De Boelelaan 117, Amsterdam, Netherlands
      su:
        Home care services
        Patients
        Hospital care
        Hospital admission & discharge
        Primary health care
        Emergency medical services
        Emergency medicine
        Nursing care facilities
        Analysis of variance
        Critical care medicine
        Medical care use
        Independent living
        T-test (Statistics)
        Research funding
        Emergency room visits
        Descriptive statistics
        Chi-squared test
        Simulation methods in education
        Subacute care
      sug:
        subj:
          Home care services
          Patients
          Hospital care
          Hospital admission & discharge
          Primary health care
          Emergency medical services
          Emergency medicine
          Nursing care facilities
          Analysis of variance
          Critical care medicine
          Emergency and Other Relief Services
          Municipal police services
          Home Health Care Services
          Offices of All Other Miscellaneous Health Practitioners
          Offices of all other health practitioners
          Services for the Elderly and Persons with Disabilities
          Community care facilities for the elderly
          Nursing Care Facilities (Skilled Nursing Facilities)
          Medical care use
          Independent living
          T-test (Statistics)
          Research funding
          Emergency room visits
          Descriptive statistics
          Chi-squared test
          Simulation methods in education
          Subacute care
      keyword:
        acute
        aged
        and chronic care
        copyrightHolder:British Geriatrics Society
        copyrightYear:2026
        emergency department visits
        emergency service
        emergency treatment
        health care use
        home care services
        hospital
        hospitalization
        https://dx.doi.org/10.1093/ageing/afag162
        inLanguage:en
        intermediate
        intermediate care
        nursing homes
        older adult
        prevention
        preventive strategies
        publisher:Oxford University Press
        sameAs:https://pubmed.ncbi.nlm.nih.gov/42258337/
        system dynamics modelling
        acute
        aged
        and chronic care
        copyrightHolder:British Geriatrics Society
        copyrightYear:2026
        emergency department visits
        emergency service
        emergency treatment
        health care use
        home care services
        hospital
        hospitalization
        https://dx.doi.org/10.1093/ageing/afag162
        inLanguage:en
        intermediate
        intermediate care
        nursing homes
        older adult
        prevention
        preventive strategies
        publisher:Oxford University Press
        sameAs:https://pubmed.ncbi.nlm.nih.gov/42258337/
        system dynamics modelling
      ab: Background Preventive strategies aim to reduce older adults' emergency department (ED) visits and related adverse health outcomes, but their impact on healthcare system utilisation remains unclear. This can be investigated using system dynamics modelling, which uses data to explore effects and test strategies across populations. Aim In this study, we simulated and studied how preventive measures affect acute hospitalisations, intermediate care, home care, and nursing home admissions among community-dwelling older adults after an ED visit. Methods We developed a system dynamics simulation model tracing older adults from ED visit to hospitalisation, intermediate care, discharge home (with or without care), nursing home admission, or death within 30 days. Simulated strategies included proactive care, geriatric emergency medicine, and hospital-at-home. Data from Amsterdam residents aged ≥65 who visited the ED in 2019 were used. Patients were categorised by home care status. Results 31,049 patient journeys were used in the modelling. Of the simulated strategies, hospital-at-home demonstrated the largest potential reductions in institutionalised care use after ED visits in the total cohort: acute hospitalisations (−10.2%), intermediate care (−16.7%), nursing home care (−10.7%). Furthermore, it showed a reduction in personal home care (−1.8%), and limited increases in household help (+2%) and nursing home care at home (+1.5%). Conclusion Of the simulated strategies, hospital-at-home reduced healthcare use post-ED most effectively, causing the greatest decrease in institutional care without requiring a meaningful increase in home care services during one year of follow-up.These findings can guide policymakers, insurers, and institutions in choosing effective preventive strategies for regional populations.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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