Literature DB >> 36251142

Estimating healthcare expenditures after becoming divorced or widowed using propensity score matching.

Iris Meulman1,2, Bette Loef3, Niek Stadhouders4, Tron Anders Moger5, Albert Wong6, Johan J Polder7,8, Ellen Uiters3.   

Abstract

Becoming divorced or widowed are stressful life events experienced by a substantial part of the population. While marital status is a significant predictor in many studies on healthcare expenditures, effects of a change in marital status, specifically becoming divorced or widowed, are less investigated. This study combines individual health claims data and registered sociodemographic characteristics from all Dutch inhabitants (about 17 million) to estimate the differences in healthcare expenditure for individuals whose marital status changed (n = 469,901) compared to individuals who remained married, using propensity score matching and generalized linear models. We found that individuals who were (long-term) divorced or widowed had 12-27% higher healthcare expenditures (RR = 1.12, 95% CI 1.11-1.14; RR = 1.27, 95% CI 1.26-1.29) than individuals who remained married. Foremost, this could be attributed to higher spending on mental healthcare and home care. Higher healthcare expenditures are observed for both divorced and widowed individuals, both recently and long-term divorced/widowed individuals, and across all age groups, income levels and educational levels.
© 2022. The Author(s).

Entities:  

Keywords:  Divorce; Healthcare expenditure; Healthcare utilization; Marital status change; Propensity score matching; Widowhood

Year:  2022        PMID: 36251142     DOI: 10.1007/s10198-022-01532-z

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  39 in total

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Journal:  J Pers Soc Psychol       Date:  2011-11-07

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Authors:  Maike Luhmann; Ina Fassbender; Mark Alcock; Peter Haehner
Journal:  J Pers Soc Psychol       Date:  2020-04-27

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Authors:  H G Prigerson; P K Maciejewski; R A Rosenheck
Journal:  Med Care       Date:  1999-09       Impact factor: 2.983

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Authors:  T H Holmes; R H Rahe
Journal:  J Psychosom Res       Date:  1967-08       Impact factor: 3.006

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Authors:  David A Sbarra; Rita W Law; Robert M Portley
Journal:  Perspect Psychol Sci       Date:  2011-09

8.  Does widowhood explain gender differences in out-of-pocket medical spending among the elderly?

Authors:  Gopi Shah Goda; John B Shoven; Sita Nataraj Slavov
Journal:  J Health Econ       Date:  2012-11-12       Impact factor: 3.883

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Authors:  I M Joung; J B van der Meer; J P Mackenbach
Journal:  Int J Epidemiol       Date:  1995-06       Impact factor: 7.196

10.  Changes in health care expenditure after the loss of a spouse: data on 6,487 older widows and widowers in the Netherlands.

Authors:  Herbert J A Rolden; David van Bodegom; Rudi G J Westendorp
Journal:  PLoS One       Date:  2014-12-23       Impact factor: 3.240

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