Evaluation of Hospital Bed Utilization Efficiency: The Case of European Countries

Aslı Köse

Makale detayları

Evaluation of Hospital Bed Utilization Efficiency: The Case of European Countries

Yazarlar:

Aslı Köse

Yayıncı:

Kütahya Dumlupinar University

Ana Başlıklar:

Kâr Amacı Gütmeyen İşletme ve Yönetim

Dergi:

Dumlupınar Üniversitesi Sosyal Bilimler Dergisi Issue 80, pp.31-48

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001315990

pISSN:

1302-1842

Anahtar kelimeler:

Özet:

 COVID-19 has affected the health systems of countries. The purpose of this study is to assess hospital resource and bed utilization efficiency during the COVID-19 pandemic in member states of the European Union. The Pabon Lasso model was utilized to assess the efficiency of hospital bed utilization in this particular context. Data Envelopment Analysis was utilized to assess the efficacy of hospitals resource utilization with respect to the selected input and output variables. The outcomes of Data Envelopment Analysis and Pabon Lasso were contrased. Among the Pabon Lasso parameters, Sweden was determined to have the highest values in the bed turnover rate parameter, Portugal in the average length of stay parameter, and Ireland in the bed occupancy rate parameter. Among the output variables, the highest discharge rate in 2020 and 2021 was observed in hospitals in Bulgaria. The ratio of physicians, as a health manpower, and considered the most important input variable, had the lowest value in hospitals in Cyprus in both years. According to Data Envelopment Analysis, hospitals in Cyprus, Latvia, Sweden, and the Netherlands were found to be efficient in both 2020 and 2021, respectively. According to Data Envelopment Analysis in 2020, 25 of hospitals were efficient, and when it comes to Pabon Lasso model, 70 were efficient. In 2021, 20 of hospitals were evaluated as efficient according to Data Evelopment Analysis, and 75 were evaluated as efficient according to the Pabon Lasso model. There is a need for plans for the efficient use of resources in hospitals against public health crises such as COVID-19.

 COVID-19 has affected the health systems of countries. The purpose of this study is to assess hospital resource and bed utilization efficiency during the COVID-19 pandemic in member states of the European Union. The Pabon Lasso model was utilized to assess the efficiency of hospital bed utilization in this particular context. Data Envelopment Analysis was utilized to assess the efficacy of hospitals resource utilization with respect to the selected input and output variables. The outcomes of Data Envelopment Analysis and Pabon Lasso were contrased. Among the Pabon Lasso parameters, Sweden was determined to have the highest values in the bed turnover rate parameter, Portugal in the average length of stay parameter, and Ireland in the bed occupancy rate parameter. Among the output variables, the highest discharge rate in 2020 and 2021 was observed in hospitals in Bulgaria. The ratio of physicians, as a health manpower, and considered the most important input variable, had the lowest value in hospitals in Cyprus in both years. According to Data Envelopment Analysis, hospitals in Cyprus, Latvia, Sweden, and the Netherlands were found to be efficient in both 2020 and 2021, respectively. According to Data Envelopment Analysis in 2020, 25 of hospitals were efficient, and when it comes to Pabon Lasso model, 70 were efficient. In 2021, 20 of hospitals were evaluated as efficient according to Data Evelopment Analysis, and 75 were evaluated as efficient according to the Pabon Lasso model. There is a need for plans for the efficient use of resources in hospitals against public health crises such as COVID-19.

 COVID-19 has affected the health systems of countries. The purpose of this study is to assess hospital resource and bed utilization efficiency during the COVID-19 pandemic in member states of the European Union. The Pabon Lasso model was utilized to assess the efficiency of hospital bed utilization in this particular context. Data Envelopment Analysis was utilized to assess the efficacy of hospitals resource utilization with respect to the selected input and output variables. The outcomes of Data Envelopment Analysis and Pabon Lasso were contrased. Among the Pabon Lasso parameters, Sweden was determined to have the highest values in the bed turnover rate parameter, Portugal in the average length of stay parameter, and Ireland in the bed occupancy rate parameter. Among the output variables, the highest discharge rate in 2020 and 2021 was observed in hospitals in Bulgaria. The ratio of physicians, as a health manpower, and considered the most important input variable, had the lowest value in hospitals in Cyprus in both years. According to Data Envelopment Analysis, hospitals in Cyprus, Latvia, Sweden, and the Netherlands were found to be efficient in both 2020 and 2021, respectively. According to Data Envelopment Analysis in 2020, 25 of hospitals were efficient, and when it comes to Pabon Lasso model, 70 were efficient. In 2021, 20 of hospitals were evaluated as efficient according to Data Evelopment Analysis, and 75 were evaluated as efficient according to the Pabon Lasso model. There is a need for plans for the efficient use of resources in hospitals against public health crises such as COVID-19.

 COVID-19, ülkelerin sağlık sistemlerini etkilemiştir. Bu araştırmanın amacı COVID-19 pandemisinde Avrupa Birliği üye ülkelerinde hastanelerin kaynak ve yatak kullanım etkinliklerini değerlendirmektir. Bu kapsamda hastane yatak kullanım etkinliği Pabon Lasso modeli ile değerlendirilmiştir. Hastanelerin seçilen girdi ve çıktı değişkenlerine göre kaynaklarını etkin kullanıp kullanmadığının değerlendirilmesinde ise Veri Zarflama Analizi kullanılmıştır. Araştırmada Pabon Lasso ve Veri Zarflama Analiz sonuçları karşılaştırılmıştır. Pabon Lasso parametrelerinden yatak devir hızı parametresinde İsveç, ortalama kalış süresi parametresinde Portekiz, yatak doluluk oranı parametresinde ise İrlanda en yüksek değerlere sahip ülkeler olarak belirlenmiştir. Çıktı değişkenlerinden taburcu oranı 2020 ve 2021 yıllarında en yüksek Bulgaristandaki hastanelerde gerçekleşmiştir. En önemli girdi değişkeni olarak kabul edilen sağlık insan gücü olan hekim oranı ise her iki yılda da en düşük değer Kıbrıstaki hastanelerde gerçekleşmiştir. Veri Zarflama Analizine göre 2020 ve 2021 yıllarının her ikisinde de Kıbrıs, Letonya, İsveç ve Hollandadaki hastanelerin etkin olduğu belirlenmiştir. Veri Zarflama Analizine göre 2020 yılında hastanelerin 25i etkin, Pabon Lasso modeline göre ise 70ı etkindir. Veri Zarflama Analizine göre 2021 yılında ise hastanelerin 20si etkin, Pabon Lasso modeline göre ise 75i etkin olarak değerlendirilmiştir. COVID-19 benzeri halk sağlığı krizlerine karşı hastanelerde kaynakların etkin kullanılmasına yönelik planlamalara ihtiyaç vardır.

Makale detayları

Evaluation of Hospital Bed Utilization Efficiency: The Case of European Countries

Yazarlar:

Aslı Köse

Yayıncı:

Kütahya Dumlupinar University

Ana Başlıklar:

Kâr Amacı Gütmeyen İşletme ve Yönetim

Dergi:

Dumlupınar Üniversitesi Sosyal Bilimler Dergisi Issue 80, pp.31-48

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001315990

pISSN:

1302-1842

COVID-19

Health services

Pabon Lasso

Data envelopment analysisCOVID-19

Sağlık hizmeti

Pabon Lasso

Veri zarflama analizi

Sayı

Makale detayları

Yazarlar: Aslı Köse

Yayıncı: Kütahya Dumlupinar University

Ana Başlıklar: Kâr Amacı Gütmeyen İşletme ve Yönetim

Dergi: Dumlupınar Üniversitesi Sosyal Bilimler Dergisi Issue 80, pp.31-48

Belge Tipi: Makale

Yayın Tarihi: 4/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001315990

pISSN: 1302-1842

Sayı

Yazarlar:

Aslı Köse

Yayıncı:

Kütahya Dumlupinar University

Ana Başlıklar:

Kâr Amacı Gütmeyen İşletme ve Yönetim

Dergi:

Dumlupınar Üniversitesi Sosyal Bilimler Dergisi Issue 80, pp.31-48

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001315990

pISSN:

1302-1842