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Counting the time lived, the time left or illness? Age, proximity to death, morbidity and prescribing expenditures

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  • Moore, Patrick V.
  • Bennett, Kathleen
  • Normand, Charles

Abstract

The objective is to understand what really drives prescription expenditure at the end of life in order to inform future expenditure projections and service planning. To achieve this objective an empirical analysis of public medication expenditure on the older population (individuals ≥ 70 years of age) in Ireland (n = 231,780) was undertaken. A two part model is used to analysis the individual effects of age, proximity to death (PTD) and morbidity using individual patient-level data from administrative pharmacy records for 2006–2009 covering the population of community medication users. Decedents (n = 14,084) consistently use more medications and incur larger expenditures than similar survivors, especially in the last 6 months of life. The data show a positive and statistically significant impact of PTD on prescribing expenditures with minimal effect for age alone even accounting for patient morbidities. Nevertheless improved measures of morbidity are required to fully test the hypothesis that age and PTD are proxies for morbidity. The evidence presented refutes age as a driver of prescription expenditure and highlights the importance of accounting for mortality in future expenditure projections.

Suggested Citation

  • Moore, Patrick V. & Bennett, Kathleen & Normand, Charles, 2017. "Counting the time lived, the time left or illness? Age, proximity to death, morbidity and prescribing expenditures," Social Science & Medicine, Elsevier, vol. 184(C), pages 1-14.
    • Handle: RePEc:eee:socmed:v:184:y:2017:i:c:p:1-14
    DOI: 10.1016/j.socscimed.2017.04.038
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    2. Rodney P. Jones, 2022. "A Model to Compare International Hospital Bed Numbers, including a Case Study on the Role of Indigenous People on Acute ‘Occupied’ Bed Demand in Australian States," IJERPH, MDPI, vol. 19(18), pages 1-27, September.
    3. Maynou, Laia & Street, Andrew & García−Altés, Anna, 2023. "Living longer in declining health: Factors driving healthcare costs among older people," Social Science & Medicine, Elsevier, vol. 327(C).
    4. Audrey Tanguy-Melac & Dorian Verboux & Laurence Pestel & Anne Fagot-Campagna & Philippe Tuppin & Christelle Gastaldi-Ménager, 2021. "Evolution of health care utilization and expenditure during the year before death in 2015 among people with cancer: French snds-based cohort study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(7), pages 1039-1052, September.
    5. Mauro Laudicella & Paolo Li Donni & Kim Rose Olsen & Dorte Gyrd‐Hansen, 2022. "Age, morbidity, or something else? A residual approach using microdata to measure the impact of technological progress on health care expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1184-1201, June.
    6. Walsh, Brendan & Keegan, Conor & Brick, Aoife & Connolly, Sheelah & Bergin, Adele & Wren, Maev-Ann & Lyons, Seán & Hill, Leonie & Smith, Samantha, 2021. "Projections of expenditure for primary, community and long-term care Ireland, 2019–2035, based on the Hippocrates model," Research Series, Economic and Social Research Institute (ESRI), number RS126, June.
    7. Viktor von Wyl, 2019. "Proximity to death and health care expenditure increase revisited: A 15-year panel analysis of elderly persons," Health Economics Review, Springer, vol. 9(1), pages 1-16, December.

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