ÖDEME GÜÇLÜĞÜNE BAĞLI KARŞILANAMAYAN TIBBİ BAKIM İHTİYACI

Yıl 2022, Cilt: 9 Sayı: 4, 309 - 316, 01.12.2022

Melek Terzi , Mehmet Nurullah Kurutkan , Dilek Şahin , Oğuz Kara

https://doi.org/10.52880/sagakaderg.1074505

Cited By: 1

Öz

Amaç: Bu çalışmanın amacı kronik hastalıkların ve sosyo-ekonomik faktörlerin tıbbi bakımda ödeme güçlüğü üzerindeki etkilerini belirlemektir.
Yöntem: Analizde kullanılan değişkenler 2016 yılına ait “TÜİK Sağlık Araştırması” mikro veri setinden elde edilmiştir. Kronik hastalığa ait verilerin ve sosyo-ekonomik değişkenlerin tıbbi bakımda ödeme güçlüğünü etkileme derecesini tespit etmek için üç model kurulmuştur. Modellerin analizinde Binary Logit Regresyon analizi kullanılmıştır.
Bulgular: Tıbbi bakımda ödeme güçlüğü açısından yaş, eğitim, hane geliri, tedavi masrafı SGK, tedavi masrafı GSS, tedavi masrafı diğer, çalışmama nedeni, iş sürekliliği, çalışma şekli, genel sağlık durumu, 6 aydan uzun hastalık durumu, yaşamsal faaliyet kısıtlama, astım, bronşit, koroner kalp yetmezliği, arthosis, bel bölgesi, boyun bölgesi, alerji, karaciğer yetmezliği, böbrek, depresyon, diğer kronik hastalıklar, gözlük kullanma, bedensel ağrı durumu, ağrının hayatı engellemesi, bunalım, değersiz hissetme, son 12 ay yataklı hizmet alma, son 12 ay günübirlik hizmet alma, kendi kararıyla ilaç kullanımı, kolestrol ölçülme, kan şekeri ölçülme, gaitada gizli kan testi ölçülme, gecikme randevu, ödeme güçlüğü diş bakım, ödeme güçlüğü ilaç, ödeme güçlüğü ruh tedavisi, tütün kullanım durumu ve tütün dumanı maruziyeti etkili olmuştur (p<0,05). Cohen d’ye göre tıbbi bakımda ödeme güçlüğünde etki gücü en kuvvetli olan gruplar ise diş bakımı, ilaç ve ruh tedavisinde ödeme güçlüğü, ulaşımdan dolayı gecikme, bunalım ve kronik bronşittir (E.B. > 0,8).
Sonuç: Araştırma sonuçlarına göre kronik hastalıkların ve sosyo-ekonomik değişkenlerin tıbbi bakım ödeme güçlüğünde etkili olduğu belirlenmiştir. Politika yapıcılar, farklı kronik durumların, demografik ve ekonomik yapının karşılaştırmalı yüküne ilişkin ekonometrik modellere dayalı kanıtlardan faydalanabilir.

Anahtar Kelimeler

Karşılanmayan Tıbbi Bakım, Ödeme Güçlüğü, Kronik Hastalıklar, Ulusal Sağlık Araştırması

UNMET MEDICAL CARE NEEDS DUE TO PAYMENT DIFFICULTY

Öz

Objective: This study aims to determine the effects of chronic diseases and socio-economic factors on payment difficulty in medical care.
Methods: The variables used in the analysis were obtained from the “2016 TURKSTAT Health Survey” micro data set. Three models were established to determine the degree of chronic disease data and socio-economic variables affecting the payment difficulty in medical care. Binary Logit Regression analysis was used to analyze the models.
Findings: In terms of payment difficulty in medical care; age, education, household income, social security institution (SGK) treatment cost, general health insurance (GSS) treatment cost, other treatment cost, reason for not working, work continuity, working method, overall health status, being sick longer than 6 months, vital activity restriction, asthma, bronchitis, coronary heart failure, arthrosis, waist and neck disorders, allergy, liver failure, kidney disease, depression, other chronic diseases, wearing glasses, physical pain state, pain preventing life, feeling worthless, receiving bed service for the last 12 months, receiving daily service for the last 12 months, drug use by his own decision, cholesterol measurement status, blood glucose measurement status, stool occult blood test measurement status, being late for appointment, payment difficulty in dental care, in drug and in spiritual treatment, tobacco use status and exposure to tobacco smoke were effective (p<0,05). According to Cohen d, the groups with the strongest effect on payment difficulty in medical care are payment difficulty in dental care, drug and spiritual treatment, delay due to transportation, depression and chronic bronchitis (E.B. > 0,8).
Conclusions: According to the results of the research, it was determined that chronic diseases and socio-economic variables are effective in the payment difficulty of medical care. Policymakers can benefit from evidence-based on econometric models of the comparative burden of different chronic conditions, demographic and economic structure.

Anahtar Kelimeler

Unmet Medical Care, Payment Difficulty, Chronic Diseases, National Health Survey

Kaynakça

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