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.

Highlights

  • Chronic conditions (CC) are a topic of much interest because of their influence and importance in the healthcare and treatment of patients in recent years

  • The purpose of this study is to identify if there is a relationship between demographics and chronic conditions, and to provide quantitative analysis to specify the influence of demographic factors as well as chronic conditions on patients’ disease severities, include estimates and predictions of disease severities which may help in the provision of healthcare

  • This study shows the relationships between demographic factors, including AGE, SEX, RACE, and chronic conditions (CC) and their influence on patient’s disease severities, based on National Inpatient Sample (NIS) 2016 data

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Summary

Introduction

Chronic conditions (CC) are a topic of much interest because of their influence and importance in the healthcare and treatment of patients in recent years. Multiple chronic conditions, referred to as comorbidity, are used to refer to patients who have at least two chronic conditions at the same time [1] This concept has been quite widely used by healthcare professionals in clinical practice and health policy documents [2,3,4,5,6,7]. Patients with many chronic conditions often have certain difficulties and place a burden on health facilities, and so are associated with high healthcare costs because having more than one disease requires complex disease management, including treatment and self-care [10,11,12,13,14,15,16,17]. The concept of chronic conditions is spontaneously used to refer to the number of chronic conditions suffered by a patient. This is done to avoid confusion in implementation, the differences between patients without chronic conditions, patients with only one or two chronic conditions, and patients with three or more chronic conditions are clearly specified

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