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Reasons for unmet needs for health care: the role of social capital and social support in some western EU countries

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  • Damiano Fiorillo

    (Parthenope University of Naples)

Abstract

This paper focuses on the demand side factors that determine access to health care and analyses the issues of unmet needs for health care and the reasons thereof in western EU countries. A probit model is estimated from a sample of the whole population, accounting for the possibility of individual selection in unmet needs for health care (UN) (selection equation). Expanded probit models (including the inverse Mills ratio) are then used on the reasons for unmet needs (RUN) with social capital and social support as determinants and using the European Union Statistics on Income and Living Conditions dataset from 2006. In the RUN equations, the findings show that females, large households, people with low income and financial constraints, the unemployed and those in poor health have a higher probability of declaring unmet needs due to economic costs. Additionally, people in tertiary education, those with high income and the employed have a higher probability of not visiting a doctor when needed due to time constraints. Furthermore, the frequency of contact with friends and the ability to ask for help are correlated with a lower probability of unmet needs due to economic costs, while the frequency of contact with relatives is correlated with a lower probability of unmet needs due to time constraints and distance. However, the ability to ask for help is also correlated with a higher probability of not having medical care due to time constraints and the wait-and-see approach.

Suggested Citation

  • Damiano Fiorillo, 2020. "Reasons for unmet needs for health care: the role of social capital and social support in some western EU countries," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 79-98, March.
  • Handle: RePEc:kap:ijhcfe:v:20:y:2020:i:1:d:10.1007_s10754-019-09271-0
    DOI: 10.1007/s10754-019-09271-0
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    Cited by:

    1. Pengfei Sheng & Tingting Yang & Tengfei Zhang, 2021. "The Unmet Medical Demand among China’s Urban Residents," IJERPH, MDPI, vol. 18(21), pages 1-13, November.
    2. Clara Andresciani & Debora Di Gioacchino & Laura Sabani, 2024. "The political economy of the public/private mix in healthcare: assessing the decongestion effect argument," Working Papers in Public Economics 253, Department of Economics and Law, Sapienza University of Roma.
    3. Clara Andresciani & Debora Di Gioacchino & Laura Sabani, 2024. "The political economy of the public/private mix in healthcare: assessing the decongestion effect argument," Working Papers - Economics wp2024_23.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    4. Bich-Na Jang & Hwi-Jun Kim & Bo-Ram Kim & Seonyeong Woo & Woo-Jin Lee & Eun-Cheol Park, 2021. "Effect of Practicing Health Behaviors on Unmet Needs among Patients with Chronic Diseases: A Longitudinal Study," IJERPH, MDPI, vol. 18(15), pages 1-10, July.
    5. Carnazza, Giovanni & Liberati, Paolo & Resce, Giuliano, 2023. "Income-related unmet needs in the European countries," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    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.
    7. Domenica Matranga & Laura Maniscalco, 2022. "Inequality in Healthcare Utilization in Italy: How Important Are Barriers to Access?," IJERPH, MDPI, vol. 19(3), pages 1-14, February.

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    More about this item

    Keywords

    Unmet needs for healthcare; Reasons for unmet needs; Social capital; Social support; EU Western countries; EU-SILC data; Heckman selection model;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Z1 - Other Special Topics - - Cultural Economics

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