Literature DB >> 27324300

A Longitudinal Investigation of Willingness to Pay for Health Insurance in Germany.

Jens-Oliver Bock1, André Hajek1, Hermann Brenner2,3, Kai-Uwe Saum2, Herbert Matschinger1,4, Walter Emil Haefeli5, Ben Schöttker2, Renate Quinzler5, Dirk Heider1, Hans-Helmut König1.   

Abstract

OBJECTIVE: To investigate factors affecting willingness to pay (WTP) for health insurance of older adults in a longitudinal setting in Germany. DATA SOURCES: Survey data from a cohort study in Saarland, Germany, from 2008-2010 and 2011-2014 (n1  = 3,124; n2  = 2,761) were used. STUDY
DESIGN: Panel data were taken at two points from an observational, prospective cohort study. DATA COLLECTION: WTP estimates were derived using a contingent valuation method with a payment card. Participants provided data on sociodemographics, lifestyle factors, morbidity, and health care utilization. PRINCIPAL
FINDINGS: Fixed effects regression models showed higher individual health care costs to increase WTP, which in particular could be found for members of private health insurance. Changes in income and morbidity did not affect WTP among members of social health insurance, whereas these predictors affected WTP among members of private health insurance.
CONCLUSIONS: The fact that individual health care costs affected WTP positively might indicate that demanding (expensive) health care services raises the awareness of the benefits of health insurance. Thus, measures to increase WTP in old age should target at improving transparency of the value of health insurances at the moment when individual health care utilization and corresponding costs are still relatively low. © Health Research and Educational Trust.

Entities:  

Keywords:  Germany; Health insurance; contingent valuation method; older adults; willingness to pay

Mesh:

Year:  2016        PMID: 27324300      PMCID: PMC5441501          DOI: 10.1111/1475-6773.12522

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


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