Determinants of Health Insurance Uptake Among Women in Kenya: an Application of Discriminant Analysis
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Date
2017Author
Githinji, Reuben T
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
The current high utilization of out of pocket payments by a majority of Kenyans to settle
their medical bills has continued to ensure that the poor and the vulnerable in the society
cannot access essential health care services. Studies have shown that having a health
insurance cover can greatly reduce the over-reliance on out of pocket financing. Despite
studies showing that Kenya’s population under health insurance coverage has grown,
the population of women with health insurance schemes has continued to fall below the
national average. The goal of this study was to examine determinants of health insurance
uptake among women in Kenya using the discriminant analysis approach. The study used
data from KDHS collected in the year 2014.After fitting a discriminant analysis model
using the step-wise procedure, all the eight predictor variables, namely age,marital status,
education level, employment,wealth quintile,place of residence,household size and access
to media were found to be significant in discriminating as to whether a woman was insured
or uninsured. The classification accuracy of the discriminant model was 86.9 per cent, and
the model was found to be statistically significant and hence using the eight predictor
variables, one can be able to classify a woman as to whether she is insured or uninsured.
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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