Relationships between Demographic Factors and Chronic Conditions with Disease Severities

Bibliographic Data

ID15465969
AuthorsVan Cuong Nguyen (0000-0002-0836-3020, Hanyang University), Jungmin Park (0000-0002-5837-2494, Hanyang University, corresponding author)
Year2021
Volume18
Issue21
Pages11469-11469
Publication date2021-10-31
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph182111469
PMID34769985
OpenAlexW3209275369
LanguageEN
Citations received2
References cited23

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

Chronic disease · Demographics · Descriptive statistics · Disease · Logistic regression · Multinomial logistic regression · Statistics · Chronic Disease Management Strategies · Demography · Healthcare Systems and Reforms · Medical Coding and Health Information · Medicine · Internal Medicine

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