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Defining and measuring unmet need to guide healthcare funding:identifying and filling the gaps

Author

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  • Maria Jose Aragon Aragon

    (Centre for Health Economics, University of York, York, UK.)

  • Martin Chalkley

    (Centre for Health Economics, University of York, York, UK.)

  • Maria Goddard

    (Centre for Health Economics, University of York, York, UK.)

Abstract

Budget allocations to Clinical Commissioning Groups include adjustments for unmet need for healthcare, but there is a lack of robust evidence to support this. This article describes a literature review with an objective to understand the available evidence regarding unmet need. We developed a conceptual framework for what constitutes ideal evidence that; defines unmet need for a given population, indicates how that need can be met by health care, establishes the barriers to meeting need and provides relevant proxies based on observable measures. Our search focused on recent and empirical UK data and conceptual papers. We found no one article which satisfied all requirements of ideal evidence; the literature was strongest in defining need but weakest in regard to establishing observable proxies of need capable of being used in budget allocations. Our review was limited by its timescale and a vast body of literature, which translated into a limited number of key words for the search. We conclude that further research to inform budget allocation is required and should focus on conditions or services where adverse health outcomes from unmet need are amenable to healthcare interventions and which affect a sizeable proportion of the population

Suggested Citation

  • Maria Jose Aragon Aragon & Martin Chalkley & Maria Goddard, 2017. "Defining and measuring unmet need to guide healthcare funding:identifying and filling the gaps," Working Papers 141cherp, Centre for Health Economics, University of York.
  • Handle: RePEc:chy:respap:141cherp
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    References listed on IDEAS

    as
    1. Martin, Stephen & Rice, Nigel & Smith, Peter C., 2008. "Does health care spending improve health outcomes? Evidence from English programme budgeting data," Journal of Health Economics, Elsevier, vol. 27(4), pages 826-842, July.
    2. Stephen Martin & Nigel Rice & Peter C. Smith, 2012. "Comparing costs and outcomes across programmes of health care," Health Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 316-337, March.
    3. Allin, Sara & Grignon, Michel & Le Grand, Julian, 2010. "Subjective unmet need and utilization of health care services in Canada: What are the equity implications?," Social Science & Medicine, Elsevier, vol. 70(3), pages 465-472, February.
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    Cited by:

    1. Stephen Martin & Karl Claxton & James Lomas & Francesco Longo, 2022. "How Responsive is Mortality to Locally Administered Healthcare Expenditure? Estimates for England for 2014/15," Applied Health Economics and Health Policy, Springer, vol. 20(4), pages 557-572, July.
    2. Carnazza, Giovanni & Liberati, Paolo & Resce, Giuliano, 2023. "Income-related unmet needs in the European countries," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    3. Carlota Quintal & Luis Moura Ramos & Micaela Antunes & Óscar Lourenço, 2023. "Unmet healthcare needs among the population aged 50+ and their association with health outcomes during the COVID-19 pandemic," European Journal of Ageing, Springer, vol. 20(1), pages 1-14, December.
    4. Roddy, Áine & O’Neill, Ciaran, 2020. "Predictors of unmet needs and family debt among children and adolescents with an autism spectrum disorder: Evidence from Ireland," Health Policy, Elsevier, vol. 124(3), pages 317-325.
    5. Ramos, Luís Moura & Quintal, Carlota & Lourenço, Óscar & Antunes, Micaela, 2019. "Unmet needs across Europe: Disclosing knowledge beyond the ordinary measure," Health Policy, Elsevier, vol. 123(12), pages 1155-1162.
    6. Quintal, Carlota & Lourenço, Óscar & Ramos, Luís Moura & Antunes, Micaela, 2019. "No unmet needs without needs! Assessing the role of social capital using data from European social survey 2014," Health Policy, Elsevier, vol. 123(8), pages 747-755.

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