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Hastanelerde Hasta Fatura Tutarına Etki Eden Faktörler

Factors Affecting Patient Bill Amount in Hospitals

Cahit Korku(Niğde Ömer Halisdemir Üniversitesi, Zübeyde Hanım Sağlık Bilimleri Fakültesi)0000-0001-6849-9950
Ahmet Yıldız(Batman Üniversitesi, Sağlık Bilimleṙı Fakültesı̇, Sağlık Yönetimi Bölümü)0000-0001-8744-0225
Mesut Teleş(Niğde Ömer Halisdemir Üniversitesi, Sağlık Bilimleṙı Fakültesı̇, Sağlık Yönetimi Bölümü)0000-0002-3255-0096
Sayfa
25–42
Yayın Tarihi
2026-07-03
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Fatura tutarına etkisi bakımından ilk beş sırada; perinatal dönemden kaynaklanan hastalıklar (P00-P96), yaralanma, zehirlenme ve dış nedenlere bağlı diğer durumlar (S00-T98), kas-iskelet ve bağ dokusu hastalıkları (M00-M99), dolaşım sistemi hastalıkları (I00-I99), sağlık durumu ve sağlık hizmetlerinden yararlanmayı etkileyen faktörler (Z00-Z99) yer almaktadır.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Hasta faturaları sağlık harcamalarının önemli bir göstergesidir.
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Temel Bulgular & Veri:Hasta fatura tutarına birçok faktör etki edebilmektedir.
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Sonuç & Katkı:Fatura tutarına etkisi bakımından ilk beş sırada; perinatal dönemden kaynaklanan hastalıklar (P00-P96), yaralanma, zehirlenme ve dış nedenlere bağlı diğer durumlar (S00-T98), kas-iskelet ve bağ dokusu hastalıkları (M00-M99), dolaşım sistemi hastalıkları (I00-I99), sağlık durumu ve sağlık hizmetlerinden yararlanmayı etkileyen faktörler (Z00-Z99) yer almaktadır.
🔬Tür:Deneysel Tarla Denemesi
📍Kapsam:2020 Verileri
⚙️Değişkenler:Hasta · hastaneye yatış · ICD-10 ana tanısı

Özet

Hasta faturaları sağlık harcamalarının önemli bir göstergesidir. Hasta fatura tutarına birçok faktör etki edebilmektedir. Bu faktörlerin ortaya çıkarılması harcamaların yönetimi açısından önemlidir. Bu araştırmanın amacı hastanelerde hasta fatura tutarına etki eden faktörleri ortaya çıkarmaktır. Hasta fatura tutarına etki eden faktörleri ortaya çıkarmak için bir eğitim ve araştırma hastanesinin Nisan 2020-Ağustos 2021 dönemindeki hasta yatış verileri incelenmiştir. Bu dönemde hastaneye yatışı yapılmış 27.215 kişinin verisi SPSS 22.0 programına aktarılarak analiz edilmiştir. Verilerin analizinde; sayı, yüzde, ortalama, standart sapma, ortanca değerleri elde edilmiş ve gruplar arasında fark olup olmadığı incelenmiştir. Hasta fatura tutarını etkileyen faktörleri ortaya çıkarmak için regresyon analizi yapılmıştır. Regresyon modeline; yaş, cinsiyet, yatış süresi, ICD-10 ana tanı grupları ve Covid-19 tanısı bağımsız değişkenler olarak konulmuştur. Yapılan regresyon analizinde kurulan modelin anlamlı olduğu ve hastane fatura tutarına; hastanın yaşının, cinsiyetinin, yatış süresinin ve Covid-19 tanısının etkili olduğu sonucuna ulaşılmıştır. Ayrıca ICD 10 tanı gruplarının maliyetlerinin fatura tutarlarını farklı düzeylerde etkilediği belirlenmiştir. Fatura tutarına etkisi bakımından ilk beş sırada; perinatal dönemden kaynaklanan hastalıklar (P00-P96), yaralanma, zehirlenme ve dış nedenlere bağlı diğer durumlar (S00-T98), kas-iskelet ve bağ dokusu hastalıkları (M00-M99), dolaşım sistemi hastalıkları (I00-I99), sağlık durumu ve sağlık hizmetlerinden yararlanmayı etkileyen faktörler (Z00-Z99) yer almaktadır.

Abstract

Patient bills are a significant indicator of healthcare expenditures. Many factors can influence patient bills. Identifying these factors can contribute to expense management. The purpose of this study is to identify the factors affecting patient bills in hospitals. To identify the factors affecting patient bills, patient admission data from a Training and Research Hospital between April 2020 and August 2021 was examined. Data from 27,215 individuals admitted to the hospital during this period was transferred to SPSS 22.0 and analyzed. Data analysis includ1ed the number, percentage, mean, standard deviation, and median values, and examined any differences between the groups. Regression analysis was conducted to identify the factors affecting patient bills. Age, gender, hospital stay, ICD-10 main diagnosis groups, and Covid-19 diagnosis were included as independent variables in the regression model. The regression analysis concluded that the established model was significant, and that patient age, gender, length of stay, and Covid-19 diagnosis all influenced hospital bills. Additionally, ICD diagnostic groups were found to affect the cost bill amount to varying degrees. The top five factors influencing the bill amount are perinatal diseases (P00-P96), injuries, poisoning, and other external causes (S00-T98), musculoskeletal and connective tissue diseases (M00-M99), circulatory system diseases (I00-I99), and factors affecting health status and healthcare utilization (Z00-Z99).

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Bu Makaleye Atıf Yap

Korku, C., Yıldız, A., Teleş, M. (2026). Hastanelerde Hasta Fatura Tutarına Etki Eden Faktörler. SOSYAL GÜVENLİK DERGİSİ, Cilt: 16 Sayı: 1, 25–42. https://doi.org/10.32331/sgd.1971691

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