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A TRENDLINE ANALYSIS FOR HEALTHCARE EXPENDITURE PER CAPITA OF OECD MEMBERS

Yıl 2020, Cilt: 11 Sayı: 1, 23 - 35, 01.03.2020

Öz

The aim of this study was to predict the per capita health expenditures (HE PC) of OECD countries for the future. Datasets were used to evaluate the accuracy of HE PC estimation of OECD members from 2000 to 2017 shared online by OECD DATA in this study. Forecasting calculations about HE PC cover the years 2018-2025. Estimation series method derived by trend-line equations was used to make any predictions for the future years in the methodology part of the present research. A trend line analysis by generating one linear equation and seven non-linear equations was carried out within this study. The minimum value of the amount of the HE PC was counted as $3,930.13 with the 4th order equation for the year 2018 and the highest amount was calculated as $5,760.47 for the year 2025 with the equation of exponential distribution. The average amount of the HE PC was calculated as $4,616.62 which can be argued as a decrease in the budget allocated for the HE PC. The minimization of the standard error of the mean level was the secondary goal of the work in order to ensure that the results obtained for estimation were consistent with the data used. Predictive equations for HE PC values were found to be suitable for use as a consistent analysis tool for future outcomes. It can be emphasized that there is no drawback in the use of estimation equations for other indicators in the field of healthcare, as only the use for HE PC was verified in this study.

Kaynakça

  • [1] A. Atalan, “Türkiye Sağlık Ekonomisi için İstatistiksel Çok Amaçlı Optimizasyon Modelinin Uygulanması,” İşletme Ekon. ve Yönetim Araştırmaları Derg., vol. 1, no. 1, pp. 34–51, 2018.
  • [2] U. G. Gerdtham, J. Søgaard, F. Andersson, and B. Jönsson, “An econometric analysis of health care expenditure: A cross-section study of the OECD countries,” J. Health Econ., vol. 11, no. 1, pp. 63–84, 1992.
  • [3] B. H. Baltagi and F. Moscone, “Health care expenditure and income in the OECD reconsidered: Evidence from panel data,” Econ. Model., vol. 27, no. 4, pp. 804–811, 2010.
  • [4] M. Grossman, “On the Concept of Health Capital and the Demand for Health,” J. Polit. Econ., 1972.
  • [5] E. Van de Poel, O. O’Donnell, and E. Van Doorslaer, “Urbanization and the spread of diseases of affluence in China,” Econ. Hum. Biol., vol. 7, no. 2, pp. 200–216, Jul. 2009.
  • [6] E. Jaba, C. B. Balan, and I.-B. Robu, “The Relationship between Life Expectancy at Birth and Health Expenditures Estimated by a Cross- country and Time-series Analysis,” Procedia Econ. Financ., 2014.
  • [7] C. Quercioli et al., “Developing a new predictor of health expenditure: preliminary results from a primary healthcare setting,” Public Health, vol. 163, pp. 121–127, 2018.
  • [8] A. Atalan, “The Impacts of Healthcare Resources on Services of Emergency Department: Discrete Event Simulation with Box-Behnken Design,” PONTE Int. Sci. Res. J., vol. 75, no. 6, pp. 12–23, 2019.
  • [9] R. M. Solow, “A Contribution to the Theory of Economic Growth,” Q. J. Econ., 1956.
  • [10] A. Atalan and C. Donmez, “Employment of Emergency Advanced Nurses of Turkey: A Discrete-Event Simulation Application,” Processes, vol. 7, no. 1, p. 48, Jan. 2019.
  • [11] A. Atalan, C. Ç. Dönmez, and Y. Ayaz Atalan, “Yüksek-Eğitimli Uzman Hemşire İstihdamı ile Acil Servis Kalitesinin Yükseltilmesi için Simülasyon Uygulaması: Türkiye Sağlık Sistemi,” Marmara Fen Bilim. Derg., vol. 30, no. 4, pp. 318–338, Dec. 2018.
  • [12] A. S. Malehi, F. Pourmotahari, and K. A. Angali, “Statistical models for the analysis of skewed healthcare cost data: a simulation study,” Health Econ. Rev., vol. 5, p. 11, 2015.
  • [13] OECD, “OECD Data Health Expenditure Per Capita.” 2016.
  • [14] OECD, “OECD Data Health Care Resources 2015.” 2017.
  • [15] W. Qin et al., “Variation, sources and historical trend of black carbon in Beijing, China based on ground observation and MERRA-2 reanalysis data,” Environ. Pollut., 2019.
  • [16] A. H. Briggs and A. M. Gray, “Handling uncertainty when performing economic evaluation of healthcare interventions,” Health Technology Assessment. 1999.
Yıl 2020, Cilt: 11 Sayı: 1, 23 - 35, 01.03.2020

Öz

Kaynakça

  • [1] A. Atalan, “Türkiye Sağlık Ekonomisi için İstatistiksel Çok Amaçlı Optimizasyon Modelinin Uygulanması,” İşletme Ekon. ve Yönetim Araştırmaları Derg., vol. 1, no. 1, pp. 34–51, 2018.
  • [2] U. G. Gerdtham, J. Søgaard, F. Andersson, and B. Jönsson, “An econometric analysis of health care expenditure: A cross-section study of the OECD countries,” J. Health Econ., vol. 11, no. 1, pp. 63–84, 1992.
  • [3] B. H. Baltagi and F. Moscone, “Health care expenditure and income in the OECD reconsidered: Evidence from panel data,” Econ. Model., vol. 27, no. 4, pp. 804–811, 2010.
  • [4] M. Grossman, “On the Concept of Health Capital and the Demand for Health,” J. Polit. Econ., 1972.
  • [5] E. Van de Poel, O. O’Donnell, and E. Van Doorslaer, “Urbanization and the spread of diseases of affluence in China,” Econ. Hum. Biol., vol. 7, no. 2, pp. 200–216, Jul. 2009.
  • [6] E. Jaba, C. B. Balan, and I.-B. Robu, “The Relationship between Life Expectancy at Birth and Health Expenditures Estimated by a Cross- country and Time-series Analysis,” Procedia Econ. Financ., 2014.
  • [7] C. Quercioli et al., “Developing a new predictor of health expenditure: preliminary results from a primary healthcare setting,” Public Health, vol. 163, pp. 121–127, 2018.
  • [8] A. Atalan, “The Impacts of Healthcare Resources on Services of Emergency Department: Discrete Event Simulation with Box-Behnken Design,” PONTE Int. Sci. Res. J., vol. 75, no. 6, pp. 12–23, 2019.
  • [9] R. M. Solow, “A Contribution to the Theory of Economic Growth,” Q. J. Econ., 1956.
  • [10] A. Atalan and C. Donmez, “Employment of Emergency Advanced Nurses of Turkey: A Discrete-Event Simulation Application,” Processes, vol. 7, no. 1, p. 48, Jan. 2019.
  • [11] A. Atalan, C. Ç. Dönmez, and Y. Ayaz Atalan, “Yüksek-Eğitimli Uzman Hemşire İstihdamı ile Acil Servis Kalitesinin Yükseltilmesi için Simülasyon Uygulaması: Türkiye Sağlık Sistemi,” Marmara Fen Bilim. Derg., vol. 30, no. 4, pp. 318–338, Dec. 2018.
  • [12] A. S. Malehi, F. Pourmotahari, and K. A. Angali, “Statistical models for the analysis of skewed healthcare cost data: a simulation study,” Health Econ. Rev., vol. 5, p. 11, 2015.
  • [13] OECD, “OECD Data Health Expenditure Per Capita.” 2016.
  • [14] OECD, “OECD Data Health Care Resources 2015.” 2017.
  • [15] W. Qin et al., “Variation, sources and historical trend of black carbon in Beijing, China based on ground observation and MERRA-2 reanalysis data,” Environ. Pollut., 2019.
  • [16] A. H. Briggs and A. M. Gray, “Handling uncertainty when performing economic evaluation of healthcare interventions,” Health Technology Assessment. 1999.
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Abdulkadir Atalan Bu kişi benim 0000-0003-0924-3685

Zeliha Çınar Bu kişi benim 0000-0001-7731-468X

Mehmet Çınar Bu kişi benim 0000-0002-0184-0082

Yayımlanma Tarihi 1 Mart 2020
Gönderilme Tarihi 2 Kasım 2019
Yayımlandığı Sayı Yıl 2020 Cilt: 11 Sayı: 1

Kaynak Göster

Vancouver Atalan A, Çınar Z, Çınar M. A TRENDLINE ANALYSIS FOR HEALTHCARE EXPENDITURE PER CAPITA OF OECD MEMBERS. SIGMA. 2020;11(1):23-35.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/