Modelling and Forecasting Claim Payments of Tanzania National Health Insurance Fund

Imani Kapungu, Emmanuel Evarest, Nyimvua Shaban, Andongwisye J. Mwakisisile
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Abstract

The expenses of medical services are increasing across the globe. As a result, pressure is placed on government and insurance companies’ budgets. The amounts of money collected are not enough to cover the claim payments. Therefore, it threatens the sustainability of the health insurance companies due to the mismatch of income and expenditures. This study aimed to model and forecast claim payments for the national health insurance fund (NHIF) in Tanzania. The claim payment data for the period of 2001–2021 from NHIF were used in building the ARIMA model. It was proven that ARIMA (0, 2, 2) is the most accurate model for forecasting the claim payments from 2022 to 2031. Furthermore, numerical results show that the claim payments for NHIF will grow by 68% by 2031.
坦桑尼亚国家健康保险基金索赔支付的建模和预测
在全球范围内,医疗服务费用正在增加。因此,政府和保险公司的预算受到了压力。所收取的款项不足以支付索赔款项。因此,由于收入与支出的不匹配,它威胁着健康保险公司的可持续性。本研究旨在模拟和预测坦桑尼亚国家健康保险基金(NHIF)的索赔支付。建立ARIMA模型时使用了2001-2021年国民健康保险基金的理赔数据。结果表明,ARIMA(0,2,2)是预测2022 - 2031年理赔金额最准确的模型。此外,数值结果表明,到2031年,国民健康保险基金的理赔金额将增长68%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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