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Journals / Acta Infologica / 2021 / Cilt: 5 - Sayı: 1

Evaluation of Healthcare Economics of OECDCountries: Multi-Objective Statistical OptimizationModel

OECD Ülkelerine ait Sağlık Ekonomilerinin Değerlendirilmesi: Çok Amaçlı İstatistiksel Optimizasyon Modeli

Abdulkadir ATALAN
Cem Çağrı DÖNMEZ
Pages
197–206
Publication Date
2022-09-04
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The fundamental reason for this situation represents the healthcare sector’sperception as a business in those countries.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Healthcare systems comprise the most crucial factors affecting countries economically.
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Key Findings & Data:We have identified factors relatedto healthcare economics and analyzed the significance ratios of these factors to calculate the feasible valuesof the factors affecting the healthcare systems in the OECD members by statistical optimization analysis.Within the feasible values obtained by using a multi-objective optimization model (MOOM) because ofstatistical analysis, the HE of OECD countries was minimized, and an improvement of 29.13% was achieved.The second objective function aimed to maximize the pcHE that was estimated to be at least $5,282.37 forthe OECD members.
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Conclusion & Impact:The fundamental reason for this situation represents the healthcare sector’sperception as a business in those countries.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Healthcare systems comprise the most crucial factors affecting countries economically. In this study, theinfrastructure and economic structure of healthcare systems belonging to the Organization for EconomicCo-operation and Development (OECD) countries are discussed to evaluate the healthcare expenditures(HE) and healthcare expenditures per capita (pcHE) of OECD members. We have identified factors relatedto healthcare economics and analyzed the significance ratios of these factors to calculate the feasible valuesof the factors affecting the healthcare systems in the OECD members by statistical optimization analysis.Within the feasible values obtained by using a multi-objective optimization model (MOOM) because ofstatistical analysis, the HE of OECD countries was minimized, and an improvement of 29.13% was achieved.The second objective function aimed to maximize the pcHE that was estimated to be at least $5,282.37 forthe OECD members. Consequently, in countries that do not have a social healthcare system, it is perceivedthat HE amounts are excessive. The fundamental reason for this situation represents the healthcare sector’sperception as a business in those countries.

Özet

Sağlık sistemleri, ülke ekonomilerini etkileyen en önemli faktörlerden birdir. Bu çalışmada, OECDüyelerinin sağlık harcamalarını (SH) ve kişi başına düşen sağlık harcamalarını (kbSH) değerlendirmek içinEkonomik İşbirliği ve Kalkınma Teşkilatı (OECD) ülkelerine ait sağlık sistemlerinin altyapısı ve ekonomikyapısı tartışılmıştır. İstatistiksel optimizasyon analizi ile OECD üyelerindeki sağlık sistemlerini etkileyenfaktörlerin uygulanabilir değerlerini hesaplamak için sağlık ekonomisi ile ilgili faktörleri belirlenerek, bufaktörlerin önemlilik oranlarını analiz ettik. İstatistiksel analiz aracılığıyla çok amaçlı optimizasyon modeli(MOOM) kullanılarak elde edilen uygulanabilir değerler içerisinde OECD ülkelerinin SH’si minimizeedilmiş ve % 29,13 oranında iyileşme sağlanmıştır. İkinci amaç fonksiyonu ise OECD üyeleri için kbSH’yimaksimize etmek amacıyla en az kbSH değeri 5.282,37 dolar olarak tahmin edilmiştir. Sonuç olarak sosyalsağlık sistemi olmayan ülkelerde SH miktarlarının aşırı olduğu algılanmaktadır. Bu durumun temel nedeni,sağlık sektörünün o ülkelerdeki bir işletme olarak algılanmaktadır.

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Cite This Article

ATALAN, A., DÖNMEZ, C. Ç. (2022). Evaluation of Healthcare Economics of OECDCountries: Multi-Objective Statistical OptimizationModel. Acta Infologica, Cilt: 5 - Sayı: 1, 197–206. https://ajindex.com/articles/425972

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