SAĞLIK HİZMETLERİ TALEBİNİN NESTED MULTİNOMİNAL LOGİT MODEL İLE ANALİZİ: KAYSERİ İLİNDE BİR UYGULAMA

Sağlık hizmetleri talebini etkileyen faktörlerin belirlenmesi sağlık hizmetlerinin daha etkin sunulması ve daha verimli işleyen bir sağlık sistemi açısından önemlidir. Ayrıca sağlık hizmetlerinin etkin sunumu ülkelerin temel sosyo-ekonomik gelişimleri açısından da önemli bir unsurdur. Bu çalışmada temel amaç sağlık hizmetlerine olan talebi etkileyen faktörleri belirlemektir. Bu çerçevede Kayseri ilinde anket yöntemi ile toplanan veriler kullanılarak, hanehalkının bir sağlık problemine bağlı olarak sağlık kuruluşuna başvuru tercihi ile ilişkili faktörler ve sağlık kuruluşu tercihleri ile ilişkili faktörler incelenmiştir. Veri seti Kayseri ilinde hanehalkı anket uygulaması ile oluşturulmuştur. Çalışma kapsamında veri setine her iki karar seviyesini aynı anda tahmin eden tam bilgiye dayalı maksimum olabilirlik (FIML) tekniği kullanılarak Nested Multinominal Logit Model uygulanmıştır. Elde edilen sonuçlara göre sağlık kuruluşuna başvuru tercihini etkileyen faktörler olarak hanehalkı reisinin eğitim seviyesi, hastalık şiddeti ve bazı sağlık problemi şikayetleri bulunmuştur. Sağlık kuruluşu tercihini etkileyen faktörlerden hastanın eğitim seviyesi hem kamu hem de özel sağlık kuruluşuna başvurma olasılığını azaltmaktadır. Ayrıca kamu sağlık kuruluşlarına başvurma olasılığı hastanın yaşı ile birlikte azalmaktadır.

Anahtar Kelimeler:

Sağlık, Sağlık Hizmetleri Talebi, Kesikli Tercih Modelleri, Nested Multinominal Logit Model, Kayseri, Turkey

ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCE

Determining the factors affecting the demand for healthcare services are important in terms of providing health services more effectively and a more efficient health system. In addition, effective provision of healthcare services is an important element in terms of basic socio-economic development of countries. The primary aim of this study is to determine the factors which affect the demand for healthcare services. In that framework, factors related to household’s choice of applying to a healthcare facility because of a health problem and the factors related to household’s healthcare facility choice are investigated using the data collected in Kayseri province with survey method. Within the scope of the study, Nested Logit Model was implemented to the data set using Full Information Maximum Likelihood (FIML) technique which estimates both decision levels simultaneously. According to the results obtained, the factors which affect the choice of applying to the healthcare facility were found as the educational level of the household head, severity of the disease and some health problem complaints. Among the factors which affect healthcare facility choice, educational level of the patient reduces the likelihood of applying to both public and private healthcare facilities. Furthermore, likelihood of applying to public healthcare facilities reduces with the age of the patient.

Keywords:

Health Demand for Healthcare, Discrete Choice Models, Choice Models, Nested Multinomial Logit Model, Kayseri, Turkey,

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