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Stokastik Sınır Analizi ile Gelişmekte Olan Ülkelerin Sağlık Sistemlerinde Teknik Etkinlik Ölçümü

Yıl 2024, Cilt: 8 Sayı: 2, 113 - 129, 30.12.2024
https://doi.org/10.33399/biibfad.1455670

Öz

Bu çalışma, SARS-CoV-2 pandemisinin gelişmekte olan 65 ülkenin sağlık sisteminde teknik etkinliğe nasıl bir etkisinin olduğunu ortaya koyma amacı taşımaktadır. Çalışmada parametrik bir yöntem olan stokastik sınır analizi kullanılmıştır. Bu analizde çıktı değişkeni doğumda beklenen yaşam süresi iken, girdi değişkenleri kişi başına düşen sağlık harcaması ve 1.000 kişiye düşen hekim sayısıdır. Çalışma, 2018, 2019 ve 2020 yıllarını kapsamıştır. Analiz sonuçlarına göre, kişi başına düşen sağlık harcaması ve 1.000 kişiye düşen hekim sayısı doğumda beklenen yaşam süresini artırarak sağlık sistemlerinin teknik etkinliğine olumlu katkıda bulunmaktadır. Çalışmada, ayrıca, SARS-CoV-2 pandemisinin sağlık sistemlerinde teknik etkinliği anlamlı şekilde olumsuz etkilediği görülmüştür. Karar alma mekanizmalarında bulunanların SARS-CoV-2 pandemisinden dersler çıkararak gelecekteki muhtemel pandemilere hazırlık yapmaları önerilmektedir.

Kaynakça

  • Aboaba, K. (2020). Economic efficiency of rice farming a stochastic frontier analysis approach. Journal of Agribusiness and Rural Development, 58(4), 423-435.
  • Ahmed, H. (2022). The determinants of life expectancy: A case of study the MENA region https://www.academia.edu/87210207/determinants_of_life_expectancy_a_case_study_from_the_MENA_region (Erişim Tarihi: 19.03.2024).
  • Ahmed, S., Hasan, M. Z., MacLennan, M., Dorin, F., Ahmed, M. W., Hasan, M. M., ... & Khan, J. A. (2019). Measuring the efficiency of health systems in Asia: a data envelopment analysis. BMJ open, 9(3), e022155.
  • Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37.
  • Asandului, L., Roman, M., & Fatulescu, P. (2014). The efficiency of healthcare systems in Europe: A data envelopment analysis approach. Procedia Economics and Finance, 10, 261-268.
  • Coelli, T. J. (1995). Estimators and hypothesis tests for a stochastic frontier function: A monte carlo analysis. Journal of Productivity Analysis, 6, 247-268.
  • Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An ıntroduction to efficiency and productivity analysis. Springer Science and Business Media Publisnhings.
  • Cylus, J., Papanicolas, I., Smith, P. C., & World Health Organization. (2016). Health system efficiency: how to make measurement matter for policy and management. World Health Organization Publishings.
  • De Cos, P. H., & Moral-Benito, E. (2011). Health care expenditure in the OECD countries: efficiency and regulation. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1974882 (Erişim tarihi: 16.03.2024).
  • Dünya Bankası (2024). Open data. https://data.worldbank.org/ (Erişim tarihi: 15.03.2024)
  • Frogner, B. K., Frech, H. E., & Parente, S. T. (2015). Comparing efficiency of health systems across industrialized countries: a panel analysis. BMC health services research, 15, 1-12.
  • Gilligan, A. M., & Skrepnek, G. H. (2015). Determinants of life expectancy in the Eastern Mediterranean Region. Health Policy and Planning, 30(5), 624-637.
  • Greene, W. (2004). Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems. Health economics, 13(10), 959-980.
  • Hamidi, S., & Akinci, F. (2016). Measuring efficiency of health Systems of the Middle East and North Africa (MENA) region using stochastic frontier analysis. Applied health economics and health policy, 14, 337-347.
  • Holmgren, J. (2013). The efficiency of public transport operations–An evaluation using stochastic frontier analysis. Research in Transportation Economics, 39(1), 50-57.
  • Kadakoğlu, B. (2021). Afyonkarahisar İlinde Patates Üretiminin Teknik ve Ekonomik Etkinliğinin Analizi (Yüksek Lisans Tezi), Isparta Uygulamalı Bilimler Üniversitesi.
  • Kang, J., Peng, R., Feng, J., Wei, J., Li, Z., Huang, F., ... & Feng, Q. (2023). Health systems efficiency in China and ASEAN, 2015–2020: A DEA-Tobit and SFA analysis application. BMJ Open, 13(9), e075030.
  • Kıdak, Ş. M., Arapoğlu, R. A., & Demirtaş, E. A. (2023). Efficiency analysis of OECD countries during COVID-19 pandemic using multi-stage DEA. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 29(5), 426-439.
  • Kinfu, Y. (2013). The efficiency of the health system in South Africa: evidence from stochastic frontier analysis. Applied Economics, 45(8), 1003-1010.
  • Kodde, D. A., & Palm, F. C. (1986). Wald criteria for jointly testing equality and inequality restrictions. Econometrica: journal of the Econometric Society, 1243-1248.
  • Kutlar, A., & Salamov, F. (2018). Azerbaycan devlet hastanelerinin stokastik sınır analizi metodu ile değerlendirilmesi. Balkan ve Yakın Doğu Sosyal Bilimler Dergisi, 4(2), 55-64.
  • Lawanson, A. O., & Novignon, J. (2016). Efficiency of health systems in Sub-Sahara Africa: a comparative analysis of time varying stochastic frontier models. Asian Journal of Humanities and Social Studies, 4(3), 210-222.
  • Manavgat, G., & Audibert, M. (2024). Healthcare system efficiency and drivers: re-evaluation of OECD countries for COVID-19. SSM-Health Systems, 2, 100003.
  • Mbau, R., Musiega, A., Nyawira, L., Tsofa, B., Mulwa, A., Molyneux, S., ... & Barasa, E. (2023). Analysing the efficiency of health systems: a systematic review of the literature. Applied health economics and health policy, 21(2), 205-224.
  • Meeusen, W., & van den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2). 435-444.
  • Mondai, M. N. I., Ullah, M. M. M. N., Islam, M. R., Rahman, M. S., Khan, M. N., Ahmed, K. M., & Islam, M. S. (2015). Sociodemographic and health determinants of inequalities in life expectancy in least developed countries. International Journal of MCH and AIDS, 4(1), 57-66.
  • Mondal, M. N. I., & Shitan, M. (2013). Impact of socio-health factors on life expectancy in the low and lower middle income countries. Iranian Journal of Public Health, 42(12), 1354.
  • Mourad, N., Habib, A., & Tharwat, A. (2021). Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis. Decision Science Letters, 10(3), 301-310.
  • Novignon, J., & Lawanson, A. (2014). Efficiency of health systems in Sub-Sahara Africa: a comparative analysis of time varying stochastic frontier models. https://mpra.ub.uni-muenchen.de/56897/ (Erişim tarihi: 16.03.2024).
  • O’Neill, L., Raune, M., Heidenberge, K., & Krau, M. (2008). A cross-national comparison and taxonomy of DEA-based hospital efficiency studies. Socio-Economic Planning Sciences, 42, 158–189.
  • Ogloblin, C. (2023). Health care financing and productivity of health care in OECD countries: a stochastic frontier analysis. Eurasian Economic Review, 13(2), 259-283.
  • Ozgur, Y., & Fuad, S. (2020). Measuring CIS health systems using the stochastic frontier analysis (SFA). Экономика региона, 16(1), 59-68.
  • Pavlyuk, D., & Balash, V. (2004). An effıcıency analysıs of Russian banks. Warwick Print.
  • Pereira, M. A., Dinis, D. C., Ferreira, D. C., Figueira, J. R., & Marques, R. C. (2022). A network data envelopment analysis to estimate nations’ efficiency in the fight against SARS-CoV-2. Expert systems with applications, 210, 118362.
  • Rezaei, S., Zandian, H., Baniasadi, A., Moghadam, T. Z., Delavari, S., & Delavari, S. (2016). Measuring the efficiency of a hospital based on the econometric Stochastic Frontier Analysis (SFA) method. Electronic physician, 8(2), 2025.
  • Sultana, S., Hossain, M. M., & Haque, M. N. (2023). Estimating the potato farming efficiency: A comparative study between stochastic frontier analysis and data envelopment analysis. Plos one, 18(4), e0284391.
  • Şenel, T., & Cengiz, M. A. (2016). A bayesian approach for evaluation of determinants of health system efficiency using stochastic frontier analysis and beta regression. Computational and Mathematical Methods in Medicine, 2016(1), 2801081.
  • Tutulmaz, O., & Şahin, H. (2014). Türk havayolu ulaştırmasının açılım dönemine yönelik teknik etkinlik analizi: Bir stokastik sınır yöntemi uygulaması. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(2), 49-73.
  • Varabyova, Y., & Schreyögg, J. (2013). International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches. Health Policy, 112, 70-79.
  • Yalçın, E. (2018). Stokastik sınır analizi ile havalimanlarının etkinliklerinin ölçülmesi: Türkiye örneği. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15(42), 82-105.
  • Yüksel, O. (2022). Türkiye’deki bazı sağlık göstergelerinin stokastik sınır analizi yöntemi ile değerlendirilmesi. Uluslararası Sağlık Yönetimi ve Stratejileri Araştırma Dergisi, 8(3), 362-375.

Technical Efficiency Measurement in Healthcare Systems of Developing Countries through Stochastic Frontier Analysis

Yıl 2024, Cilt: 8 Sayı: 2, 113 - 129, 30.12.2024
https://doi.org/10.33399/biibfad.1455670

Öz

This study aimed to reveal how the SARS-CoV-2 pandemic affected the technical efficiency levels of healthcare systems in 65 developing countries. The study utilized stochastic frontier analysis, a parametric method. In this analysis, the output variable was life expectancy at birth, while the input variables were health expenditure per capita and the number of physicians per 1,000 people. The study covered the years 2018, 2019, and 2020. According to the results, per capita health expenditure and the number of physicians per 1,000 people contributed positively to the technical efficiency levels of health systems by increasing life expectancy at birth. The study further demonstrated that the SARS-CoV-2 pandemic had a significant and negative impact on the technical efficiency levels in healthcare systems. It is recommended that those in decision-making mechanisms should be prepared for possible future pandemics by learning lessons from the SARS-CoV-2 pandemic.

Kaynakça

  • Aboaba, K. (2020). Economic efficiency of rice farming a stochastic frontier analysis approach. Journal of Agribusiness and Rural Development, 58(4), 423-435.
  • Ahmed, H. (2022). The determinants of life expectancy: A case of study the MENA region https://www.academia.edu/87210207/determinants_of_life_expectancy_a_case_study_from_the_MENA_region (Erişim Tarihi: 19.03.2024).
  • Ahmed, S., Hasan, M. Z., MacLennan, M., Dorin, F., Ahmed, M. W., Hasan, M. M., ... & Khan, J. A. (2019). Measuring the efficiency of health systems in Asia: a data envelopment analysis. BMJ open, 9(3), e022155.
  • Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37.
  • Asandului, L., Roman, M., & Fatulescu, P. (2014). The efficiency of healthcare systems in Europe: A data envelopment analysis approach. Procedia Economics and Finance, 10, 261-268.
  • Coelli, T. J. (1995). Estimators and hypothesis tests for a stochastic frontier function: A monte carlo analysis. Journal of Productivity Analysis, 6, 247-268.
  • Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An ıntroduction to efficiency and productivity analysis. Springer Science and Business Media Publisnhings.
  • Cylus, J., Papanicolas, I., Smith, P. C., & World Health Organization. (2016). Health system efficiency: how to make measurement matter for policy and management. World Health Organization Publishings.
  • De Cos, P. H., & Moral-Benito, E. (2011). Health care expenditure in the OECD countries: efficiency and regulation. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1974882 (Erişim tarihi: 16.03.2024).
  • Dünya Bankası (2024). Open data. https://data.worldbank.org/ (Erişim tarihi: 15.03.2024)
  • Frogner, B. K., Frech, H. E., & Parente, S. T. (2015). Comparing efficiency of health systems across industrialized countries: a panel analysis. BMC health services research, 15, 1-12.
  • Gilligan, A. M., & Skrepnek, G. H. (2015). Determinants of life expectancy in the Eastern Mediterranean Region. Health Policy and Planning, 30(5), 624-637.
  • Greene, W. (2004). Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems. Health economics, 13(10), 959-980.
  • Hamidi, S., & Akinci, F. (2016). Measuring efficiency of health Systems of the Middle East and North Africa (MENA) region using stochastic frontier analysis. Applied health economics and health policy, 14, 337-347.
  • Holmgren, J. (2013). The efficiency of public transport operations–An evaluation using stochastic frontier analysis. Research in Transportation Economics, 39(1), 50-57.
  • Kadakoğlu, B. (2021). Afyonkarahisar İlinde Patates Üretiminin Teknik ve Ekonomik Etkinliğinin Analizi (Yüksek Lisans Tezi), Isparta Uygulamalı Bilimler Üniversitesi.
  • Kang, J., Peng, R., Feng, J., Wei, J., Li, Z., Huang, F., ... & Feng, Q. (2023). Health systems efficiency in China and ASEAN, 2015–2020: A DEA-Tobit and SFA analysis application. BMJ Open, 13(9), e075030.
  • Kıdak, Ş. M., Arapoğlu, R. A., & Demirtaş, E. A. (2023). Efficiency analysis of OECD countries during COVID-19 pandemic using multi-stage DEA. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 29(5), 426-439.
  • Kinfu, Y. (2013). The efficiency of the health system in South Africa: evidence from stochastic frontier analysis. Applied Economics, 45(8), 1003-1010.
  • Kodde, D. A., & Palm, F. C. (1986). Wald criteria for jointly testing equality and inequality restrictions. Econometrica: journal of the Econometric Society, 1243-1248.
  • Kutlar, A., & Salamov, F. (2018). Azerbaycan devlet hastanelerinin stokastik sınır analizi metodu ile değerlendirilmesi. Balkan ve Yakın Doğu Sosyal Bilimler Dergisi, 4(2), 55-64.
  • Lawanson, A. O., & Novignon, J. (2016). Efficiency of health systems in Sub-Sahara Africa: a comparative analysis of time varying stochastic frontier models. Asian Journal of Humanities and Social Studies, 4(3), 210-222.
  • Manavgat, G., & Audibert, M. (2024). Healthcare system efficiency and drivers: re-evaluation of OECD countries for COVID-19. SSM-Health Systems, 2, 100003.
  • Mbau, R., Musiega, A., Nyawira, L., Tsofa, B., Mulwa, A., Molyneux, S., ... & Barasa, E. (2023). Analysing the efficiency of health systems: a systematic review of the literature. Applied health economics and health policy, 21(2), 205-224.
  • Meeusen, W., & van den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2). 435-444.
  • Mondai, M. N. I., Ullah, M. M. M. N., Islam, M. R., Rahman, M. S., Khan, M. N., Ahmed, K. M., & Islam, M. S. (2015). Sociodemographic and health determinants of inequalities in life expectancy in least developed countries. International Journal of MCH and AIDS, 4(1), 57-66.
  • Mondal, M. N. I., & Shitan, M. (2013). Impact of socio-health factors on life expectancy in the low and lower middle income countries. Iranian Journal of Public Health, 42(12), 1354.
  • Mourad, N., Habib, A., & Tharwat, A. (2021). Appraising healthcare systems’ efficiency in facing COVID-19 through data envelopment analysis. Decision Science Letters, 10(3), 301-310.
  • Novignon, J., & Lawanson, A. (2014). Efficiency of health systems in Sub-Sahara Africa: a comparative analysis of time varying stochastic frontier models. https://mpra.ub.uni-muenchen.de/56897/ (Erişim tarihi: 16.03.2024).
  • O’Neill, L., Raune, M., Heidenberge, K., & Krau, M. (2008). A cross-national comparison and taxonomy of DEA-based hospital efficiency studies. Socio-Economic Planning Sciences, 42, 158–189.
  • Ogloblin, C. (2023). Health care financing and productivity of health care in OECD countries: a stochastic frontier analysis. Eurasian Economic Review, 13(2), 259-283.
  • Ozgur, Y., & Fuad, S. (2020). Measuring CIS health systems using the stochastic frontier analysis (SFA). Экономика региона, 16(1), 59-68.
  • Pavlyuk, D., & Balash, V. (2004). An effıcıency analysıs of Russian banks. Warwick Print.
  • Pereira, M. A., Dinis, D. C., Ferreira, D. C., Figueira, J. R., & Marques, R. C. (2022). A network data envelopment analysis to estimate nations’ efficiency in the fight against SARS-CoV-2. Expert systems with applications, 210, 118362.
  • Rezaei, S., Zandian, H., Baniasadi, A., Moghadam, T. Z., Delavari, S., & Delavari, S. (2016). Measuring the efficiency of a hospital based on the econometric Stochastic Frontier Analysis (SFA) method. Electronic physician, 8(2), 2025.
  • Sultana, S., Hossain, M. M., & Haque, M. N. (2023). Estimating the potato farming efficiency: A comparative study between stochastic frontier analysis and data envelopment analysis. Plos one, 18(4), e0284391.
  • Şenel, T., & Cengiz, M. A. (2016). A bayesian approach for evaluation of determinants of health system efficiency using stochastic frontier analysis and beta regression. Computational and Mathematical Methods in Medicine, 2016(1), 2801081.
  • Tutulmaz, O., & Şahin, H. (2014). Türk havayolu ulaştırmasının açılım dönemine yönelik teknik etkinlik analizi: Bir stokastik sınır yöntemi uygulaması. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(2), 49-73.
  • Varabyova, Y., & Schreyögg, J. (2013). International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches. Health Policy, 112, 70-79.
  • Yalçın, E. (2018). Stokastik sınır analizi ile havalimanlarının etkinliklerinin ölçülmesi: Türkiye örneği. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15(42), 82-105.
  • Yüksel, O. (2022). Türkiye’deki bazı sağlık göstergelerinin stokastik sınır analizi yöntemi ile değerlendirilmesi. Uluslararası Sağlık Yönetimi ve Stratejileri Araştırma Dergisi, 8(3), 362-375.
Toplam 41 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekonometrik ve İstatistiksel Yöntemler
Bölüm Makaleler
Yazarlar

Murat Konca 0000-0002-6830-8090

Erken Görünüm Tarihi 27 Aralık 2024
Yayımlanma Tarihi 30 Aralık 2024
Gönderilme Tarihi 19 Mart 2024
Kabul Tarihi 10 Eylül 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 8 Sayı: 2

Kaynak Göster

APA Konca, M. (2024). Stokastik Sınır Analizi ile Gelişmekte Olan Ülkelerin Sağlık Sistemlerinde Teknik Etkinlik Ölçümü. Bingöl Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 8(2), 113-129. https://doi.org/10.33399/biibfad.1455670


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