Determination of Community-Based Health Microinsurance Premiums Based on Health Costs

Shindi Adha Gusliana; Dwi Susanti; Sukono Sukono

doi:10.46336/ijrcs.v4i3.464

Determination of Community-Based Health Microinsurance Premiums Based on Health Costs

Shindi Adha Gusliana, Dwi Susanti, Sukono Sukono

Abstract

Low-income households are faced with the financial risk of paying large medical bills when a member of the household falls ill. This health-related risk can affect household welfare because meeting medical expenses has the potential to reduce income capacity. Community-based health insurance is seen as one mechanism for vulnerable low- and middle-income households to overcome barriers and to improve access to health care and financial protection. This research was conducted to determine the calculation of community-based health microinsurance premiums based on health costs and determine the average willingness to pay insurance premiums. The determination of the premium is calculated based on the pure premium and other costs. Data obtained based on surveys and data provided by health facilities. Based on the results of the research, the pure individual premium is IDR 92,297.12 per year. The total individual premium calculated based on pure premium and other costs is IDR 275,256.80 per year. If the premium is paid monthly, a premium of IDR 22,938.07 per month will be obtained. Then the average value is obtained WTP or willingness to pay IDR 38,368.42 per month. The average value of the willingness to pay is greater than the total monthly health micro insurance premium that has been determined.

Keywords

Microinsurance; Health; Premium; Willingness to Pay

Full Text:

PDF

References

Adhana, D. dan Saxena, M. (2017) ‘Micro insurance in India: a powerful tool to empower poor’. Asia Pacific Journal of Research in Business Management, 8(7).

Azhar, A., Rahman, M. M., dan Arif, M. T. (2018). ‘Willingness to pay for health insurance in Sarawak, Malaysia: a contingent valuation method’. Bangladesh Journal of Medical Science, 17(2), 230-237.

Binnendijk, E., Dror, D. M., Gerelle, E., dan Koren, R. (2013) ‘Estimating Willingness-to-Pay for health insurance among rural poor in India by reference to Engel's law’. Social Science & Medicine, 76, pp. 67-73.

Hoog, R. V., McKean, J. W., dan Craig, A. T., Introduction to mathematical statistics. 8th edn. New York: Pearson.

Kusumadewi, R., Riaman, R., & Sukono, S. (2022) ‘Determining the price of fisherman micro insurance premiums using the aggregate risk model approach in Cirebon Regency’. International Journal of Quantitative Research and Modeling, 3(3), 118-123.

Novalia, P. A., Riaman, R., & Subartini, B. (2022). Analisis Kesediaan Membayar Premi Asuransi Usahatani Padi Menggunakan Model Regresi Logistik. Jurnal Matematika Integratif, 18(1), 19-26.

Putri, R. D. (2020) ‘Perbandingan kekuatan uji metode kolmogorov-smirnov, anderson-darling, dan shapiro-wilk untuk menguji normalitas data’. Program Studi Matematika Fakultas Saintek, Universitas Santa Dharma Yogyakarta.

Prasad, S. G. (2021) ‘Expanding health coverage through community based health insurance’. Dvara Research.

Sahoo, P. (2013) ‘Probability and mathematical statistics’. University of Louisville.

STEP. (2005) Health Micro-Insurance Schemes: Feasibility Study Guide (2 vols). Geneva: International Labour Organization.

Sugito, S., & Mukid, M. A. (2011) ‘Distribusi Poisson dan Distribusi Eksponensial dalam Proses Stokastik’. Media Statistika, 4(2), 113-120.

Woldemichael, A., Gurara, D. Z., dan Shimeles, A. (2016) ‘Community-based health insurance and out-of-pocket healthcare spending in africa: evidence from Rwanda’. Available at SSRN 2776927.

Yendra, R., & Noviadi, E. T. (2015) ‘Perbandingan estimasi parameter pada distribusi eksponensial dengan menggunakan metode maksimum likelihood dan metode bayesian’. Jurnal Sains Matematika dan Statistika, 1(2), 62-72.

DOI: https://doi.org/10.46336/ijrcs.v4i3.464