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.

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

Fiorillo Damiano
2019

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/76450
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