Author
Listed:
- Van Cuong Nguyen
(School of Nursing, Hanyang University, Seoul 04763, Korea)
- Jungmin Park
(School of Nursing, Hanyang University, Seoul 04763, Korea)
Abstract
Disease severities are the outcomes of an inpatient visit classification that assigns a diagnostic related group, including risk of mortality and severity of illness. Although widely used in healthcare, the analysis of factors affecting disease severities has not been adequately studied. In this study, we analyze the relationships between demographics and chronic conditions and specify their influence on disease severities. Descriptive statistics are used to investigate the relationships and the prevalence of chronic conditions. To evaluate the influence of demographic factors and chronic conditions on disease severities, several multinomial logistic regression models are performed and prediction models for disease severities are conducted based on National Inpatient Sample data for 2016 provided by the Healthcare Cost and Utilization Project database in the United States. The rate of patients with a chronic illness is 88.9% and the rate of patients with more than two chronic conditions is 67.6%; further, the rate is 62.7% for females, 73.9% for males, and 90% for the elderly. A high level of disease severity commonly appears in patients with more than two chronic conditions, especially in the elderly. For patients without chronic conditions, disease severities show a lower or safe level, even in the elderly.
Suggested Citation
Van Cuong Nguyen & Jungmin Park, 2021.
"Relationships between Demographic Factors and Chronic Conditions with Disease Severities,"
IJERPH, MDPI, vol. 18(21), pages 1-18, October.
Handle:
RePEc:gam:jijerp:v:18:y:2021:i:21:p:11469-:d:669343
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