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Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure

Author

Listed:
  • James Love-Koh

    (Centre for Health Economics, University of York, York, North Yorkshire, UK)

  • Richard Cookson

    (Centre for Health Economics, University of York, York, North Yorkshire, UK)

  • Karl Claxton

    (Centre for Health Economics, University of York, York, North Yorkshire, UK
    Department of Economics and Related Studies, University of York, York, North Yorkshire, UK)

  • Susan Griffin

    (Centre for Health Economics, University of York, York, North Yorkshire, UK)

Abstract

Background. A common aim of health expenditure is to reduce unfair inequalities in health. Although previous research has attempted to estimate the total health effects of changes in health expenditure, little is known about how changes affect different groups in the population. Methods. We propose a general framework for disaggregating the total health effects of changes in health expenditure by social groups. This can be performed indirectly when the estimate of the total health effect has first been disaggregated by a secondary factor (e.g., disease area) that can be linked to social characteristics. This is illustrated with an application to the English National Health Service. Evidence on the health effects of expenditure across 23 disease areas is combined with data on the distribution of disease-specific hospital utilization by age, sex, and area-level deprivation. Results. We find that the health effects from NHS expenditure changes are produced largely through disease areas in which individuals from more deprived areas account for a large share of health care utilization, namely, respiratory and neurologic disease and mental health. We estimate that 26% of the total health effect from a change in expenditure would accrue to the fifth of the population living in the most deprived areas, compared with 14% to the fifth living in the least deprived areas. Conclusions. Our approach can be useful for evaluating the health inequality impacts of changing health budgets or funding alternative health programs. However, it requires robust estimates of how health expenditure affects health outcomes. Our example analysis also relied on strong assumptions about the relationship between health care utilization and health effects across population groups.

Suggested Citation

  • James Love-Koh & Richard Cookson & Karl Claxton & Susan Griffin, 2020. "Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure," Medical Decision Making, , vol. 40(2), pages 170-182, February.
  • Handle: RePEc:sae:medema:v:40:y:2020:i:2:p:170-182
    DOI: 10.1177/0272989X20904360
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    References listed on IDEAS

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    1. John Nixon & Philippe Ulmann, 2006. "The relationship between health care expenditure and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(1), pages 7-18, March.
    2. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.
    3. James Lomas & Stephen Martin & Karl Claxton, 2018. "Estimating the marginal productivity of the English National Health Service from 2003/04 to 2012/13," Working Papers 158cherp, Centre for Health Economics, University of York.
    4. Miqdad Asaria & Susan Griffin & Richard Cookson & Sophie Whyte & Paul Tappenden, 2015. "Distributional Cost‐Effectiveness Analysis of Health Care Programmes – A Methodological Case Study of the UK Bowel Cancer Screening Programme," Health Economics, John Wiley & Sons, Ltd., vol. 24(6), pages 742-754, June.
    5. Karl Claxton & Mark Sculpher & Stephen Palmer & Anthony J Culyer, 2015. "Causes For Concern: Is Nice Failing To Uphold Its Responsibilities To All Nhs Patients?," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 1-7, January.
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    Cited by:

    1. Love-Koh, James & Pennington, Becky & Owen, Lesley & Taylor, Matthew & Griffin, Susan, 2020. "How health inequalities accumulate and combine to affect treatment value: A distributional cost-effectiveness analysis of smoking cessation interventions," Social Science & Medicine, Elsevier, vol. 265(C).
    2. Dirk Steijger & Chandrima Chatterjee & Wim Groot & Milena Pavlova, 2022. "Challenges and Limitations in Distributional Cost-Effectiveness Analysis: A Systematic Literature Review," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
    3. Fan Yang & Ana Duarte & Simon Walker & Susan Griffin, 2021. "Uncertainty Analysis in Intervention Impact on Health Inequality for Resource Allocation Decisions," Medical Decision Making, , vol. 41(6), pages 653-666, August.
    4. Fan Yang & Colin Angus & Ana Duarte & Duncan Gillespie & Simon Walker & Susan Griffin, 2020. "Impact of Socioeconomic Differences on Distributional Cost-effectiveness Analysis," Medical Decision Making, , vol. 40(5), pages 606-618, July.

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