Medical Choices for a Wealthy Nation - A Multinomial Logistic Model

Geoffrey U. Ugwuanyim *

Department of Statistics, Federal University of Technology, Owerri, Imo State, Nigeria.

Confidence O. Osuchukwu

Department of Mathematics and Statistics, Federal Polytechnic, Nekede, Owerri, Imo State, Nigeria.

Desmond C. Bartholomew

Department of Statistics, Federal University of Technology, Owerri, Imo State, Nigeria.

Chukwudi P. Obite

Department of Statistics, Federal University of Technology, Owerri, Imo State, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

This study investigated the Effect of Levels of Education on the Choice of Medical Treatment Options for three illnesses (Malaria, Mental Disorder and HIV/AIDS) in Nigeria. The study was carried out in ten randomly selected Local Government Areas (L. G. As) in Imo State using a stratified random sample of 500 individuals selected from a population of 194,932 and the data was collected using questionnaires. The Multinomial Logistic Regression Model was adopted in the analysis of the data. The result of the analysis showed that there was a significant association between Educational Level and choice of treatment of Malaria, Mental Disorder and HIV/AIDS. It was further discovered that it is only the “WAEC/GCE” level of education that is significant in the Choice of Treatment of Mental Disorder. It is therefore recommended that government should beam its searchlight on this educational level to find out the cause(s) of their Mental Disorder.

Keywords: Multinomial logistic regression, education, choice, medical treatment options, stratified random sample.


How to Cite

Ugwuanyim, Geoffrey U., Confidence O. Osuchukwu, Desmond C. Bartholomew, and Chukwudi P. Obite. 2020. “Medical Choices for a Wealthy Nation - A Multinomial Logistic Model”. Asian Journal of Probability and Statistics 6 (3):1-12. https://doi.org/10.9734/ajpas/2020/v6i330160.

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