Abstract:

This study aims to investigate the effects of chronic diseases and socio-economic factors on the demand for family medicine. The basic approach used is Andersen's behavioral health model. The variables used in the analysis were obtained from the “TurkStat Health Survey” micro data set for 2016. Three models were established to determine the degree of chronic disease data and socio-economic variables affecting health demand. Binary Logit regression analysis was used in the analysis of models. The variables such as gender, age, employment status, learning difficulties, concentration problems, treatment costs covered by the Social Security Institution (SGK), having a reliable relative, receiving help from neighbors, delaying health care appointments, having chronic hypertension and diabetes are the variables that influence the condition of receiving service from the family medicine (p<0,05). According to the results of the research, it was determined that hypertension, diabetes, and mental health parameters and socio-economic variables are effective on the status of receiving family medicine services. Policymakers would benefit from evidence-based econometric models of the comparative burden of different chronic conditions, demographic and economic structures in order to ensure that the family medicine system is sustainable and more preferable.

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