Household Size and the Decision to Purchase Health Insurance in Cambodia: Results of a Discrete-Choice Experiment with Scale Adjustment

Sachiko Ozawa (), Simrun Grewal and John F.P. Bridges
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Sachiko Ozawa: Johns Hopkins Bloomberg School of Public Health
Simrun Grewal: University of Washington
John F.P. Bridges: Johns Hopkins Bloomberg School of Public Health

Applied Health Economics and Health Policy, 2016, vol. 14, issue 2, No 7, 195-204

Abstract: Abstract Background Community-based health insurance (CBHI) schemes have been introduced in low- and middle-income countries to increase health service utilization and provide financial protection from high healthcare expenditures. Objective We assess the impact of household size on decisions to enroll in CBHI and demonstrate how to correct for group disparity in scale (i.e. variance differences). Methods A discrete choice experiment was conducted across five CBHI attributes. Preferences were elicited through forced-choice paired comparison choice tasks designed based on D-efficiency. Differences in preferences were examined between small (1–4 family members) and large (5–12 members) households using conditional logistic regression. Swait and Louviere test was used to identify and correct for differences in scale. Results One-hundred and sixty households were surveyed in Northwest Cambodia. Increased insurance premium was associated with disutility [odds ratio (OR) 0.61, p

Date: 2016
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DOI: 10.1007/s40258-016-0222-9

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