A Multivariate logistic regression model of Healthcare service utilization in district Kanpur Nagar, Uttar Pradesh

Background: To become a developed economy for good health of citizens is of prime importance. As healthcare facilities are getting costlier day by day, people are either avoiding to utilise health care services or they do incur lot of out of pocket expenditure (OOPE). Several independent factors also affect the utilization of healthcare facility by individual. Aim & Objective: The aim of this study was to explore factors significantly influencing healthcare utilization by constructing a predictive model using multivariate logistic regression. Methodology: A cross-sectional empirical study was conducted across urban and rural areas of district Kanpur Nagar using semi structured, pretested questionnaire. A sample of 400 respondents (264 urban and 136 rural) was selected using probability proportion to size, followed by multi stage random sampling. Analysis was done using different statistical tools. Results: Age, education and income were positively associated with dependent variable healthcare utilization while distance to healthcare facility is negatively associated with healthcare utilization. Conclusions: Result of multivariate logistic regression indicates various factors are significantly associated with healthcare utilization. Health insurance coverage to be increased for elderly and low income individuals, while accessibility for healthcare facility to be increased for rural areas.