Evaluation of Efficiency Status of Health Systems of African Countries by Data Envelopment and Tobit Analysis

Fuad Selamzade; Özgür Yeşilyurt

Makale detayları

Evaluation of Efficiency Status of Health Systems of African Countries by Data Envelopment and Tobit Analysis

Yazarlar:

Fuad Selamzade | Özgür Yeşilyurt

Yayıncı:

Mus Alparslan University

Ana Başlıklar:

Egzersiz ve Spor Bilimleri (Diğer)

Dergi:

Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi Vol.11 Issue Afrika, pp.204-224

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001299621

pISSN:

2149-4622

Anahtar kelimeler:

Özet:

 The aim of the study is to examine the efficiency levels of the healthcare systems in the African Union countries. For this purpose, constant returns to scale CCR and variable returns to scale BCC methods of Data Envelopment Analysis were used with the data from 2004 and 2010. Super Efficiency analysis was developed to determine which one was more efficient among the efficient countries and potential improvement suggestions for the inefficient countries. Finally, Tobit analysis was performed to determine the factors affecting efficiency. Input variables are the number of doctors, number of nurses, and number of beds. Output variables are life expectancy at birth, under-five mortality rate, tuberculosis incidence rate, and mortality rate due to cardiovascular, cancer, or diabetes diseases. As a result of the study, it was found that from 48 African countries, the healthcare systems of 9 were efficient in the analysis with the CCR method and 21 in the analysis with the CCR method in 2004, and 7 were efficient in the analysis with the CCR method and 20 in the analysis with the CCR method in 2010. As a result of the super efficiency analysis, Senegal and Kenya in 2004 and Mali and Tanzania in 2010 had the highest efficiency scores. The countries with the lowest efficiency scores were the Republic of South Africa in 2004 and Gabon and the Republic of South Africa in 2010. According to the results of Tobit regression analysis, the variable of the number of nurses per 1000 people was found to be statistically significant in affecting the unproductivity of national healthcare systems.

 The aim of the study is to examine the efficiency levels of the healthcare systems in the African Union countries. For this purpose, constant returns to scale CCR and variable returns to scale BCC methods of Data Envelopment Analysis were used with the data from 2004 and 2010. Super Efficiency analysis was developed to determine which one was more efficient among the efficient countries and potential improvement suggestions for the inefficient countries. Finally, Tobit analysis was performed to determine the factors affecting efficiency. Input variables are the number of doctors, number of nurses, and number of beds. Output variables are life expectancy at birth, under-five mortality rate, tuberculosis incidence rate, and mortality rate due to cardiovascular, cancer, or diabetes diseases. As a result of the study, it was found that from 48 African countries, the healthcare systems of 9 were efficient in the analysis with the CCR method and 21 in the analysis with the CCR method in 2004, and 7 were efficient in the analysis with the CCR method and 20 in the analysis with the CCR method in 2010. As a result of the super efficiency analysis, Senegal and Kenya in 2004 and Mali and Tanzania in 2010 had the highest efficiency scores. The countries with the lowest efficiency scores were the Republic of South Africa in 2004 and Gabon and the Republic of South Africa in 2010. According to the results of Tobit regression analysis, the variable of the number of nurses per 1000 people was found to be statistically significant in affecting the unproductivity of national healthcare systems.

 The aim of the study is to examine the efficiency levels of the healthcare systems in the African Union countries. For this purpose, constant returns to scale CCR and variable returns to scale BCC methods of Data Envelopment Analysis were used with the data from 2004 and 2010. Super Efficiency analysis was developed to determine which one was more efficient among the efficient countries and potential improvement suggestions for the inefficient countries. Finally, Tobit analysis was performed to determine the factors affecting efficiency. Input variables are the number of doctors, number of nurses, and number of beds. Output variables are life expectancy at birth, under-five mortality rate, tuberculosis incidence rate, and mortality rate due to cardiovascular, cancer, or diabetes diseases. As a result of the study, it was found that from 48 African countries, the healthcare systems of 9 were efficient in the analysis with the CCR method and 21 in the analysis with the CCR method in 2004, and 7 were efficient in the analysis with the CCR method and 20 in the analysis with the CCR method in 2010. As a result of the super efficiency analysis, Senegal and Kenya in 2004 and Mali and Tanzania in 2010 had the highest efficiency scores. The countries with the lowest efficiency scores were the Republic of South Africa in 2004 and Gabon and the Republic of South Africa in 2010. According to the results of Tobit regression analysis, the variable of the number of nurses per 1000 people was found to be statistically significant in affecting the unproductivity of national healthcare systems.

 Çalışmanın amacı Afrika Birliği ülkelerinin sağlık sistemlerinin etkinlik düzeylerinin incelenmesidir. Bu amaçla 2004 ve 2010 yılları verileri ile Veri Zarflama Analizinin ölçeğe göre sabit getiri CCR ve ölçeğe göre değişken getiri BCC yöntemleri kullanılmıştır. Etkin olan ülkelerin arasında hangisinin daha etkin olduğunun belirlenmesi için Süper Etkinlik analizi, etkin olmayan ülkeler için potansiyel iyileştirme önerileri geliştirmiştir. En sonda etkinliğe etki eden faktörlerin belirlenmesi için Tobit analizi yapılmıştır. Girdi değişkenleri; doktor sayısı, hemşire sayısı, yatak sayısıdir. Çıktı değişkenleri ise; doğumda beklenen yaşam süresi, 5 yaş altı ölüm oranı, tüberküloz oranı, kalp damar, kanser veya diyabet hastalıkları sebebi ile ölüm oranıdır. Çalışmanın sonucunda 48 Afrika ülkesinin sağlık sistemlerinin 2004 yılında CCR yöntemi ile yapılan analizde 9u, BCC yöntemi ile yapılan analizde ise 21i, 2010 yılında ise CCR yöntemi ile yapılan analizde 7si, BCC yöntemi ile yapılan analizde ise 20si etkin bulunmuştur. Süper etkinlik analizi sonucunda 2004 yılında Senegal ve Kenya, 2010 yılında ise Mali ve Tanzanya en yüksek etkinlik skoruna sahip olmuştur. En az etkinlik skoru almış ülkeler 2004 yılında Güney Afrika Cumhuriyeti, 2010 yılında ise Gabon ve Güney Afrika Cumhuriyeti olmuştur. Tobit regresyon analizi sonuçlarına göre 1000 kişiye düşen hemşire sayısı değişkeni ulusal sağlık sistemlerinin verimsizliğini etkilemede istatistiksel olarak anlamlı bulunmuştur.

Makale detayları

Evaluation of Efficiency Status of Health Systems of African Countries by Data Envelopment and Tobit Analysis

Yazarlar:

Fuad Selamzade | Özgür Yeşilyurt

Yayıncı:

Mus Alparslan University

Ana Başlıklar:

Egzersiz ve Spor Bilimleri (Diğer)

Dergi:

Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi Vol.11 Issue Afrika, pp.204-224

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001299621

pISSN:

2149-4622

African Countries

Healthcare Systems

Data Envelopment Analysis

Efficiency

Super Efficiency

Tobit Analysis,Afrika Ülkeleri

Sağlık Sistemleri

Veri Zarflama Analizi

Etkinlik

Süper Etkinlik

Tobit Analizi.

Sayı

Makale detayları

Yazarlar: Fuad Selamzade | Özgür Yeşilyurt

Yayıncı: Mus Alparslan University

Ana Başlıklar: Egzersiz ve Spor Bilimleri (Diğer)

Dergi: Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi Vol.11 Issue Afrika, pp.204-224

Belge Tipi: Makale

Yayın Tarihi: 9/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001299621

pISSN: 2149-4622

Sayı

Yazarlar:

Fuad Selamzade | Özgür Yeşilyurt

Yayıncı:

Mus Alparslan University

Ana Başlıklar:

Egzersiz ve Spor Bilimleri (Diğer)

Dergi:

Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi Vol.11 Issue Afrika, pp.204-224

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001299621

pISSN:

2149-4622