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The cost of in-patient care in Western Australia in the last years of life: A population-based data linkage study

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  • Moorin, Rachael Elizabeth
  • Holman, Cashel D'Arcy James

Abstract

Objectives This study aimed to explore patterns of health expenditure for in-patient care in the last 3 years of life so as to understand how age and time to death contribute to health-care expenditure.Method Records of all deaths occurring in Western Australia from 1997 to 2000 inclusive were extracted from the WA mortality register and linked to records from the hospital morbidity data system (HMDS) via the WA Data Linkage System. Inflation adjusted hospital costs were assigned to all in-patient events occurring within 3 years of death from five major causes of death using DRG costing information.Results Prior to the last 5 months of life the mean cost of hospitalisation was positively associated with age; however, the magnitude of the cost increase in the last 5 months of life was inversely related to age such that the cost in the last month of life was similar across age groups.Conclusion The finding that increased costs are associated with proximity to death, but that the magnitude of the increase is inversely associated with age, has implications for the ongoing debate about whether proximity to death or age is the dominant driver of health-care costs. The results of this study suggest that models forecasting future health-care expenditure should take into account the interaction of age, time to death and cause of death. In addition, we propose that due to the differences observed across causes of death it may be that a single general population model may not be capable of fully capturing the relationship and that this may be why the debate regarding age and time to death has yet to be resolved in the literature.

Suggested Citation

  • Moorin, Rachael Elizabeth & Holman, Cashel D'Arcy James, 2008. "The cost of in-patient care in Western Australia in the last years of life: A population-based data linkage study," Health Policy, Elsevier, vol. 85(3), pages 380-390, March.
  • Handle: RePEc:eee:hepoli:v:85:y:2008:i:3:p:380-390
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    References listed on IDEAS

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    1. Claudia Geue & Andrew Briggs & James Lewsey & Paula Lorgelly, 2014. "Population ageing and healthcare expenditure projections: new evidence from a time to death approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(8), pages 885-896, November.
    2. Cohen-Mansfield, Jiska & Brill, Shai, 2016. "Trajectories at the end of life: A controlled investigation of longitudinal Health Services Consumption data," Health Policy, Elsevier, vol. 120(12), pages 1395-1403.
    3. McNamara, Beverley & Rosenwax, Lorna, 2010. "Which carers of family members at the end of life need more support from health services and why?," Social Science & Medicine, Elsevier, vol. 70(7), pages 1035-1041, April.
    4. Claudia Geue & Paula Lorgelly & James Lewsey & Carole Hart & Andrew Briggs, 2015. "Hospital Expenditure at the End-of-Life: What Are the Impacts of Health Status and Health Risks?," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-14, March.
    5. Chandoevwit, Worawan & Phatchana, Phasith, 2018. "Inpatient care expenditure of the elderly with chronic diseases who use public health insurance: Disparity in their last year of life," Social Science & Medicine, Elsevier, vol. 207(C), pages 64-70.
    6. Rolden, Herbert J.A. & van Bodegom, David & Westendorp, Rudi G.J., 2014. "Variation in the costs of dying and the role of different health services, socio-demographic characteristics, and preceding health care expenses," Social Science & Medicine, Elsevier, vol. 120(C), pages 110-117.

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