Aile Hekimliğine Olan Talebi Etkileyen Faktörler: Davranışsal Model İçin Türkiye Verilerinden Kanıtlar

Abstract

Bu çalışmanın amacı, kronik hastalıkların ve sosyo-ekonomik faktörlerin, aile hekimliğine yönelik talep üzerindeki etkilerini incelemektir. Kullanılan temel yaklaşım Andersen’in davranışsal sağlık modelidir. Değişkenler 2016 yılına ait “TÜİK Sağlık Araştırması” mikro veri setinden elde edilmiştir. Kronik hastalığa ait verilerin ve sosyo-ekonomik değişkenlerin sağlık talebini etkileme derecesini tespit etmek için üç model kurulmuştur. Modellerin analizinde Binary Logit Regresyon analizi kullanılmıştır. Değişkenlerden cinsiyet, yaş, çalışma durumu, öğrenme güçlüğü, konsantrasyon problemi, tedavi masraflarının Sosyal Güvenlik Kurumu (SGK) tarafından karşılanıyor olması, güvenilir yakınının bulunması, komşularından yardım alma, sağlık hizmeti randevularına gecikme yaşamaları, kronik hipertansiyon ve şeker hastalığına sahip olmaları aile hekimliğinden hizmet alma durumuna etki eden değişkenlerdir (p<0,05). Araştırma sonuçlarına göre, hipertansiyon, şeker ve zihin sağlığı parametreleri ile sosyo-ekonomik değişkenlerin, aile hekimliği hizmeti alma durumu üzerinde etkili olduğu belirlenmiştir. Politika yapıcılar, aile hekimliği sisteminin sürdürülebilir olması ve daha çok tercih edilmesi amacıyla, farklı kronik durumların, demografik ve ekonomik yapının karşılaştırmalı yüküne ilişkin ekonometrik modellere dayalı kanıtlardan faydalanabilir.

Keywords

• Aile Hekimliği
• Davranışsal Model
• Kronik Hastalıklar
• Sağlık Talebi
• Türkiye Sağlık Araştırması

Factors Affecting the Demand for Family Medicine: Evidence for Behavioral Model from Turkey Data

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.

Keywords

• Family Medicine
• Behavioral Model
• Health Demand
• Turkey Health Interview Survey

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