FACTORS ASSOCIATED WITH LENGTH OF STAY AMONG HEALTH INSURANCE PARTICIPANTS: A CASE STUDY AT INSURANCE COMPANY X IN 2025
DOI:
https://doi.org/10.53067/ije3.v6i1.478Keywords:
Length of stay, health insurance, inpatient care, claim management, Chi-squareAbstract
Length of stay (LOS) is an important indicator of inpatient service utilization and claim efficiency in health insurance management. This study aims to analyze factors associated with LOS among health insurance participants at Insurance Company X in 2025. This research used a quantitative, non-experimental approach with a cross-sectional design and secondary data obtained from inpatient claim and membership records. A total of 499 inpatient cases were analyzed. The independent variables included gender, age, membership status, hospital type, and disease diagnosis category, while the dependent variable was LOS. Data were analyzed using univariate analysis and bivariate analysis with the Chi-square test. The results showed that gender was significantly associated with LOS (p = 0.034). Hospital type and disease diagnosis category were also significantly associated with LOS (p < 0.001). However, age (p = 0.404) and membership status (p = 0.783) were not significantly associated with LOS. These findings indicate that clinical and service-related factors are more relevant in explaining LOS variation than demographic or membership characteristics. The study provides practical insight for claim monitoring and inpatient utilization management in health insurance.
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Abela, L., Pace, A., & Buttigieg, S. C. (2019). What affects length of hospital stay? A case study from Malta. Journal of Health Organization and Management, 33(6), 714–736. https://doi.org/10.1108/JHOM-10-2018-0280
Advisory Board. (2019). Reducing avoidable inpatient days: Improving patient flow and discharge planning. Washington, DC: The Advisory Board Company.
Buttigieg, S. C., Abela, L., & Pace, A. (2018). Variables affecting hospital length of stay: A scoping review. Journal of Health Organization and Management, 32(3), 463–493. https://doi.org/10.1108/JHOM-10-2017-0275
Creswell, J. W. (2022). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (6th ed.). Melbourne: Sage Publications.
Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, And Mixed Methods Approaches (5th ed.). Thousand Oaks, CA: SAGE Publications.
Gonzalez, A. A., et al. (2016). Determinants of Length Of Stay In Hospitalized Patients: A retrospective study. BMC Health Services Research, 16, 1–9. https://doi.org/10.1186/s12913-016-1645-4
Hardani, Auliya, N. H., Andriani, H., Fardani, R. A., Ustiawaty, J., Utami, E. F., Sukmana, D. J., & Istiqomah, R. R. (2020). Metode Penelitian Kualitatif Dan Kuantitatif. Yogyakarta: Pustaka Ilmu.
Hirani, R., Podder, D., Stala, O., Mohebpour, R., Tiwari, R. K., & Etienne, M. (2025). Strategies to reduce hospital length of stay: Evidence and challenges. Medicina, 61(5), 922. https://doi.org/10.3390/medicina61050922
James, E., Hatton, C., & Brown, M. (2017). Structural Drivers of Inpatient Length of Stay. Journal of Health Services Research & Policy, 22(4), 256–264.
Kementerian Kesehatan Republik Indonesia. (2024). Pedoman Nasional Pelayanan Kedokteran (PNPK). Jakarta: Kementerian Kesehatan Republik Indonesia.
McGarry, B. E., Wilcock, A. D., Gandhi, A. D., Grabowski, D. C., & Barnett, M. L. (2025). Extended hospital stays in Medicare Advantage and traditional Medicare. JAMA Internal Medicine, 185(11), 1362–1369. https://doi.org/10.1001/jamainternmed.2025.4411
Otoritas Jasa Keuangan. (2025). FAQ POJK Nomor 36 Tahun 2025 tentang Penguatan Ekosistem Asuransi Kesehatan. Jakarta: Otoritas Jasa Keuangan.
Otoritas Jasa Keuangan. (2025). Peraturan Otoritas Jasa Keuangan Republik Indonesia Nomor 36 Tahun 2025 tentang Penguatan Ekosistem Asuransi Kesehatan. Jakarta: Otoritas Jasa Keuangan.
Sahir, S. H. (2021). Metodologi penelitian. Yogyakarta: KBM Indonesia.
Stone, K., Zwiggelaar, R., Jones, P., & Mac Parthaláin, N. (2022). A systematic review of the prediction of hospital length of stay: Towards a unified framework. PLOS Digital Health, 1(4), e0000017. https://doi.org/10.1371/journal.pdig.0000017
Sutaip, T., et al. (2023). Trends in inpatient utilization and length of stay by disease category. International Journal of Health Planning and Management, 38(1), 112–125.
WalkerKeach, J., Prandi-Abrams, M., Sabel, A. S., Hasnain-Wynia, R., & MacKenzie, T. D. (2025). Reducing hospital length of stay: A multimodal quality improvement intervention. Joint Commission Journal on Quality and Patient Safety, 51(5), 321–330. https://doi.org/10.1016/j.jcjq.2025.01.012
World Health Organization. (2022). Hospital care and patient safety overview. WHO Press. https://www.who.int
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