HEALTHCARE UTILIZATION TREND ANALYSIS OF TURKISH HEALTH SYSTEM

Year 2022, Volume: 8 Issue: 1, 85 - 97, 30.04.2022

Melike Torun , Özgür Aslan

Abstract

The most basic goal expected from healthcare services is expressed as enhancing the health status of the society. On the other hand, in addition to this main purpose, providing financial caution against the expenses of illness or health is seen as another remarkable goal. In order to achieve these goals, the health system uses limited economic resources. How effectively and efficiently these resources are used is also important for the health system. In this study, the Turkish Health System is tried to be examined in terms of OECD Health Care Utilization indicators through trend analysis. The indicators used in the study were primarily selected from those that did not have any problems with the data. As can be seen in the study, it is seen that OECD Health Care Utilization indicators are affected by factors such as the intensive immigration pressure of the health system and the “Health Transformation Program”. However, the biggest limitation encountered in the study is that the data for some indicators are incomplete and erroneous over the years. There are also methodological differences for some indicators. This situation prevents making a long-term evaluation. On the other hand, the impact of the Corona Virus on health care utilization indicators could not be analyzed due to the fact that data on many indicators were available until 2018.

Keywords

Health Economics, Health System, Trend Analysis, Health

References

• 1. Boz, C, Önder E, Taş N. Comparison of Health Status Indicators with Multidimensional Scaling and The Multi Objective Optimization by Ratio Analysis. Journal of Health and Nursing Management. 2018; 5(3): 179-187.
• 2. Franken, M and Koolman, X Health system goals: A discrete choice experiment to obtain societal valuations. Health policy. 2018; 112: 28-34.
• 3. WHO. Pathways to health system performance assessment: A Manual to conducting health system performance assessment at national or sub-national level. WHO Regional Office for Europe, Denmark. 2012.
• 4. Fekri, O, Macarayan E R and Klazinga N. Health System Performance Assessment in the WHO European Region: Which Domains and Indicators have been Used by Member States for its Measurement?. Health Evidence Network Synthesis Report. No. 55. WHO Regional Office for Europe. Copenhagen. 2018.
• 5. Murray, C J L and Frenk J A. WHO framework for health system performance assessment. Geneva: World Health Organization. 1999.
• 6. Carinci F, Van Gool K, Mainz J, Veillard J, Pichora EC, Januel J. M. et al. Towards actionable international comparisons of health system performance: expert revision of the OECD framework and quality indicators. Int J Qual Health Care. 2015; 27(Suppl 2): 137–46.
• 7. National Academies of Sciences, Engineering, and Medicine. Health and Medicine Division. Board on Health Care Services. Committee on Health Care Utilization and Adults with Disabilities. Health-Care Utilization as a Proxy in Disability Determination. National Academies Press (US). Washington (DC). 2018. https://www.ncbi.nlm.nih.gov/books/NBK500102/ doi: 10.17226/24969.
• 8. Carrasquillo O. Health Care Utilization. In: Gellman M. D., Turner J. R. (eds) Encyclopedia of Behavioral Medicine, Springer. New York. NY. 2013. https://doi.org/10.1007/978-1-4419-1005-9_885.
• 9. https://stats.oecd.org/Index.aspx?DataSetCode=HEALTH_PROCS.
• 10. Onoz, B, Bayazıt M, H. and Cığızoğlu K. Türkiye Akarsularında Trend Analizi. TMH-Türkiye Mühendislik Haberleri. 2002; 420-421-422: 8-10.
• 11. Beşel, C and Kayıkçı, T E. Meteorolojik Verilerin Zaman Serisi ve Tanımlayıcı İstatistikler ile Yorumlanması; Karadeniz Bölgesi Örneği, TÜCAUM Uluslararası Coğrafya Sempozyumu. 13-14 October. Ankara. 2016.
• 12. Sargut, F. Trend Analizi Yöntemi İle Ereğli Demir Çelik Firmasının Finansal Tablo Analizi. Göller Bölgesi Aylık Hakemli Ekonomi ve Kültür Dergisi Ayrıntı. 2018: Cilt 5 Sayı 58. 13. Şişman, E. Türkiye’de Seçilen Hava Kalitesi İzleme İstasyonları için Eğilim (Trend) Değerlendirmeleri. Doğal Afetler ve Çevre Dergisi. 2018; 5(1): 134-152.
• 14. Akcanlı, F, Soba M ve Kestane, A. İMKB’ye Kote Edilmiş Havayolu Taşimaciliği Sektöründe Trend Analizine İlişkin Örnek Bir Uygulama. Uşak Üniversitesi Sosyal Bilimler Dergisi. 2013; 6(3): 191-207. https://dergipark.org.tr/en/pub/usaksosbil/issue/21641/232618.
• 15. Ercan, C and Şenbayram E. Bist’te Seçilmiş Bir İşletme Üzerinde Trend Analizi Uygulaması: Tarım Sektörü Örneği. Conference: 3. Uluslararası El Ruha Sosyal Bilimler Kongresi. 2018.
• 16. Yin, L. Medical Trend Analysis Methods. Middle Tennessee State University. Master of Science in Mathematical Sciences. 2014. https://jewlscholar.mtsu.edu/server/api/core/bitstreams/03762d28-ce54-4b58-8fc7-b7abfa87ae70/content.
• 17. Atan M, Cam E, Yılmaz E. Türkiye Sağlık Sistemi Performansı Üzerine Trend Analizi. Sosyal Güvenlik Dergisi (Journal of Social Security). 2019; 9(1): 29-44.
• 18. Kaleci E. and Kaleci F. Trend Analysis of Health Expenditures in Turkey and Its Impact on Basic Health Indicators, EconWorld2017@Paris. Proceedings. 2017; 25-27. https://paris2017.econworld.org/papers/Kaleci_Kaleci_Trend.pdf.
• 19. Ozdal, A, M. and Baysan S A. Time-trend Analysis for Assessing Density of Healthcare Workforce and Hospital Beds in Turkish Republic of Northern Cyprus. Sağlık Akademisyenleri Dergisi. 2018; 5(4): 269-274. DOI: 10.5455/sad.13-152527030
• 20. Kim, Y M, and Delen D. Medical informatics research trend analysis: A text mining approach. Health Informatics Journal. December. 2018: 432-452. doi:10.1177/1460458216678443
• 21. Hung, T C, Lai Y F, Tseng C W, Hong Y H, Shi H Y. Trend analysis of hospital resource utilization for prolonged mechanical ventilation patients in Taiwan: a population-based study. Respir Care. 2013; 58(4): 669-75. doi: 10.4187/respcare.01519. PMID: 22906737.
• 22. Alam T. and Mahgoub A. Trend Analysis of Hospitals Efficiency Using an Operational Research Technique Approach. International Journal of Advanced Trends in Computer Science and Engineering. 2020; 9(1): 730-736.
• 23. Lee, M J, Chen C J, Lee K T, Shi H Y. Trend Analysis and Outcome Prediction in Mechanically Ventilated Patients: A Nationwide Population-Based Study in Taiwan. PLoS ONE. 2015; 10(4). https://doi.org/10.1371/journal.pone.0122618.
• 24. Akdağ R. Health Transformation Program in Turkey: Progress Report, MoH Publication No: 749. 2009.
• 25. Çilhoroz Y and Arslan İ. Sağlıkta Dönüşüm Programının Değerlendirilmesi Nitel Bir Araştırma-Evaluation of Health Transformation Program Practices: A Qualitative Research on Academics. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2013; 10 (26): 798-810 . DOI: 10.20875/makusobed.440476
• 26. Çakıroğlu O Ç, Seren A K H. Sağlıkta Dönüşüm Programı’nın Sağlık Sistemi ve Sağlık Çalışanları Üzerindeki Etkileri. Sağlık ve Hemşirelik Yönetimi Dergisi. 2016; 3(1): 37-43.
• 27. Çiftçi F, Bostan S. Sağlıkta Dönüşüm Programı Uygulamalarının Hastane Hizmetleri Üzerindeki Değişim Etkisi: Sağlık Çalışanlarının Görüşleri. Süleyman Demirel Üniversitesi Sağlık Bilimleri Dergisi. 2016; 7(2): 1-8.
• 28. Arısoy Y, Yavuz İ, Çamsarı U M. Sağlıkta Dönüşüm Programının Tıpta Uzmanlık Tercihlerine Etkisi. Türkiye Klinikleri Tıp Bilimleri Dergisi. 2017; 37(2): 53 - 60.