Modelling and Forecasting Claim Payments of Tanzania National Health Insurance Fund

Authors

  • Imani Kapungu Department of Mathematics, University of Dar es Salaam, Tanzania
  • Emmanuel Evarest Department of Mathematics, University of Dar es Salaam, Tanzania
  • Nyimvua Shaban Department of Mathematics, University of Dar es Salaam, Tanzania
  • Andongwisye J. Mwakisisile Department of Mathematics, University of Dar es Salaam, Tanzania

DOI:

https://doi.org/10.4314/tjs.v49i4.12

Keywords:

Health insurance, Claim payments, NHIF, ARIMA

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.

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Published

2023-10-27

Issue

Vol. 49 No. 4 (2023)

Section

Mathematics and Computational Sciences

License

Authors who publish in The Eastern Africa Law Review retain the copyright to their work and grant the University of Dar es Salaam a non-exclusive license to publish, reproduce, and distribute the article.

This article is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted use, distribution, adaptation, and reproduction in any medium, provided the original work is properly cited.