CLINICAL AND HEALTHCARE UTILIZATION FACTORS ASSOCIATED WITH HOSPITAL READMISSION AMONG DIABETIC PATIENTS
DOI:
https://doi.org/10.69980/jz2gff44Keywords:
Hospital readmission, , Clinical factors, Healthcare utilizationAbstract
Hospital readmission among diabetic patients remains a significant challenge for healthcare systems due to its association with increased clinical burden, healthcare costs, and reduced quality of care. This study aimed to examine the clinical and healthcare utilization factors associated with hospital readmission among diabetic patients. A quantitative analytical design was employed using a structured dataset comprising 25,000 patient records with variables related to demographic characteristics, clinical indicators, healthcare utilization, and readmission status. Descriptive and inferential statistical analyses were conducted to identify patterns and associations between study variables and hospital readmission. The results indicated that 47.02% of patients experienced readmission, highlighting a substantial readmission burden. Clinical factors such as age, primary diagnosis, medication use, and medication change were associated with variations in readmission rates. Patients with diabetes as the primary diagnosis and those undergoing medication adjustments showed relatively higher readmission levels. Healthcare utilization factors demonstrated the strongest association, with readmission rates increasing significantly among patients with higher numbers of prior inpatient, emergency, and outpatient visits. Additionally, longer hospital stays and higher healthcare utilization were observed among readmitted patients. The findings suggest that hospital readmission among diabetic patients is influenced by both clinical complexity and prior healthcare utilization. Identifying high-risk patients based on these factors can support targeted interventions, improve discharge planning, and enhance continuity of care. These insights contribute to evidence-based strategies aimed at reducing readmission rates and improving overall patient outcomes in diabetes management.
References
1. Cai, J., Huang, D., Abdul Kadir, H. B., Huang, Z., Ng, L. C., Ang, A., ... & Lim, C. C. (2024). Hospital readmissions for fluid overload among individuals with diabetes and diabetic kidney disease: risk factors and multivariable prediction models. Nephron, 148(8), 523-535.
2. Chaugule, A., Howard, K., Simonson, D. C., McDonnell, M. E., Garg, R., Gopalakrishnan, G., ... & Weinstock, R. S. (2024). Predictors of readmission and mortality in adults with diabetes or stress hyperglycemia after initial hospitalization for COVID-19. BMJ Open Diabetes Research & Care, 12(3).
3. DD. (2023). Hospital readmissions [Data set]. Kaggle. https://www.kaggle.com/datasets/ dubradave/hospital-readmissions
4. Donzé, J. D., Lipsitz, S., & Schnipper, J. L. (2017). Risk factors and patterns of potentially avoidable readmission in patients with cancer. Journal of oncology practice, 13(1), e68-e76.
5. Kukde, R. D., Chakraborty, A., & Shah, J. (2024). A systematic review of recent studies on hospital readmissions of patients with diabetes. Cureus, 16(8).
6. Liu, V. B., Sue, L. Y., & Wu, Y. (2024). Comparison of machine learning models for predicting 30-day readmission rates for patients with diabetes. Journal of Medical Artificial Intelligence, 7, 23.
7. Lu, H., & Uddin, S. (2022). Explainable stacking-based model for predicting hospital readmission for diabetic patients. Information, 13(9), 436.
8. McCoy, R. G., Herrin, J., Lipska, K. J., & Shah, N. D. (2018). Recurrent hospitalizations for severe hypoglycemia and hyperglycemia among US adults with diabetes. Journal of Diabetes and its Complications, 32(7), 693-701.
9. McCoy, R. G., Lipska, K. J., Herrin, J., Jeffery, M. M., Krumholz, H. M., & Shah, N. D. (2017). Hospital readmissions among commercially insured and Medicare advantage beneficiaries with diabetes and the impact of severe hypoglycemic and hyperglycemic events. Journal of general internal medicine, 32(10), 1097-1105.
10. Robbins, T. D., Keung, S. L. C., Sankar, S., Randeva, H., & Arvanitis, T. N. (2019). Risk factors for readmission of inpatients with diabetes: a systematic review. Journal of Diabetes and its Complications, 33(5), 398-405.
11. Rodriguez-Gutierrez, R., Herrin, J., Lipska, K. J., Montori, V. M., Shah, N. D., & McCoy, R. G. (2019). Racial and ethnic differences in 30-day hospital readmissions among US adults with diabetes. JAMA network open, 2(10), e1913249.
12. Rubin, D. J., & Shah, A. A. (2021). Predicting and preventing acute care re-utilization by patients with diabetes. Current Diabetes Reports, 21(9), 34.
13. Rubin, D. J., Maliakkal, N., Zhao, H., & Miller, E. E. (2023). Hospital readmission risk and risk factors of people with a primary or secondary discharge diagnosis of diabetes. Journal of clinical medicine, 12(4), 1274.
14. Saleh, S., AlGhfeli, M., Al Mansoori, L., Al Kaabi, A., Al Kaabi, S., & Nair, S. C. (2023). Knowledge and awareness among mothers regarding early childhood development: A study from the United Arab Emirates. Cureus, 15(4), e37027.
15. Shang, Y., Jiang, K., Wang, L., Zhang, Z., Zhou, S., Liu, Y., ... & Wu, H. (2021). The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers. BMC medical informatics and decision making, 21(Suppl 2), 57.
16. Soh, J. G. S., Mukhopadhyay, A., Mohankumar, B., Quek, S. C., & Tai, B. C. (2023). Predictors of frequency of 1-year readmission in adult patients with diabetes. Scientific Reports, 13(1), 22389.
17. Soh, J. G. S., Wong, W. P., Mukhopadhyay, A., Quek, S. C., & Tai, B. C. (2020). Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis. BMJ Open Diabetes Research & Care, 8(1).
18. Tay, W. T., Teng, T. H. K., Simon, O., Ouwerkerk, W., Tromp, J., Doughty, R. N., ... & ASIAN‐HF Investigators. (2021). Readmissions, death and its associated predictors in heart failure with preserved versus reduced ejection fraction. Journal of the American Heart Association, 10(22), e021414.
19. Watson, D. E., Marashi-Pour, S., Tran, B., & Witchard, A. (2022). Patient-reported experiences and outcomes following hospital care are associated with risk of readmission among adults with chronic health conditions. PLoS One, 17(11), e0276812.
20. Zilbermint, M. (2021). The endocrine hospitalist: enhancing the quality of diabetes care. Journal of diabetes science and technology, 15(4), 762-767.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Journal of Medical and Health Science
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Internation License .
