Forecasting for the number of individual per dentist in Turkey; Comparison of Box-Jenkins and Brown Exponential Smoothing Estimation Methods

Oral and dental diseases and the fight against these diseases are a difficult and costly issue for our country and most of the world countries. Protective and informative dentistry practices may be realized with the prospective realistic planning of Dentist personnel trained at adequate number and Oral Dental Health services. Attaching importance to the protective services for development of health services are the leading among the issues, which the policy-makers are required to emphasize with caution. The aim of this study is to model the series of number of individual per dentist personnel in Turkey between the years of 1951-2016 with Box-Jenkins and Brown Exponential Smoothing methods, and to provide these forecast models derived to guide the policymakers. Number of individual per dentist personnel is calculated prospectively in this study and values expected until 2023 are found with Box Jenkins and Brown Exponential Smoothing methods frequently used in making prospective forecasts. Calculations of these two models are compared in terms of decision-making criteria and it is concluded that Brown Exponential Smoothing model produces more coherent results than Box Jenkins model on behalf of making prospective forecasts.

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1. Marno P, Chalder M, Laing-Morton T, Levy M, Sachon P, Halpin D. Can a health forecasting service offer COPD patients a novel way to manage their condition? J Health Serv Res Policy 2010; 15: 150-155.

2. Makridakis S, Taleb N. Decision making and planning under low levels of predictability. Int J Forecast 2009; 25: 716-733.

3. Vaughan Williams L, Stekler HO. Sports forecasting. Int J Forecast 2010; 26: 445-447.

4. McMichael AJ, Campbell-Lendrum DH, Corvala´n CF, editors. Climate change and human health: risks and responses. Geneva: World Health Organization 2003.

5. Green, Kesten C. and Armstrong, J. Scott, Demand Forecasting: Evidence-Based Methods (October 1, 2012). Available at SSRN: https://ssrn.com/abstract=3063308 or htt p://dx.doi.org/10.2139/ssrn.3063308.

6. Ireneous N. Soyiri • Daniel D. Reidpath. An overview of health forecasting. Environ Health Prev Med 2013; 18: 1-9.

7. Gökalp S, Güçiz Doğan B. Türkiye Ağız-Diş Sağlığı Profili, 2004. T.C. Sağlık Bakanlığı Ana Çocuk Sağlığı ve Aile Planlaması Basımevi, 2006. http://sbu.saglik.gov.tr/Ekutuphane/kitaplar/sag lik_bakanligi_faaliyet_raporu_2013.pdf

8. Turkish Statistical Institude. Statistical Indicators 1923-2011. ISSN:1300-0535, ISBN: 978-975-19- 5571-5575.

9. Tekindal MA, Güllü Ö, Yazıcı AC, Yavuz Y. The Modelling Of Time-Series And The Evaluation Of Forecasts For The Future: The Case Of The Number Of Persons Per Physician in TurkeyBetween 1928 and 2010. Biomedical Research 2016; 27: 965-971.

10. Fischer B. Decomposition of Time Series Comparing Different Methods in Theory and Practice. Eurostat Working Paper 1995; 9: 1998.

11. Gujarati DN. Basic Econometrics.2003;4th Edition. McGraw‐Hill. New York:797.

12. Yenice S, Tekindal MA, Forecasting the Stock Indexes of Fragile Five Countries through BoxJenkins Methods. International Journal of Business and Social Science 2015; 6: 180-191.

13. Dickey D.A, Fuller WA. Likelihood Ratio Statistics For Autoregressive Time Series With A Unitroot, Econometrica 1981; 49: 1057-1072.

14. Box GE, Jenkins G. M. Time Series Analysis; Forecasting and Control.1976; Holden-Day Inc., USA.

15. Wickramarachchi AR, Herath HMLK, Jayasinghe-Mudalige UK. et al. An Analysis of Price Behavior of Major Poultry Products in Sri Lanka. The Journal of Agricultural Sciences 2017; 12: 138-148.

16. Brockwell P, Davis R. Introductionto Time Series and Forecasting.2002: 2nd Ed, Springer

17. Akaike HA. A newlook at the Statistical Model Identification. A Paper Presented at the Nigerian British Chamber of Commerce. Transactions on Automatic Control 1974; 19: 723.

18. Damaskinos P, Koletsi-Kounari H, Economou C, Eaton KA, Widström E. The healthcare system and provision of oral healthcare in European Union member states. Part 4: Greece. Br Dent J 2016; 220: 253-260.

19. Nikolovska J. An Analytic Study of Oral Healthcare System in Some EU Countries. Balk J Stom 2008; 12: 47-50.

20. Atasever M. ve Örnek M. (2018) Türkiye’de Ağız ve Diş Sağlığı Hizmetleri ve Çalışan Sorunları Analizi. SASAM Enstitüsü, Ankara.

21. Pegon-Machat E, Faulks D, Eaton K.A, Widström E, Hugues P, Tubert-Jeannin S. The healthcare system and the provision of oral healthcare in EU Member States: France. Br Dent J 2016; 220: 197-203.