TY - JOUR
T1 - Factors Associated With In-Hospital Death Among Pneumonia Patients in US Hospitals From 2016~2019
AU - Kim, Sun Jung
AU - Medina, Mar
AU - Zhong, Lixian
AU - Chang, Jongwha
N1 - Publisher Copyright:
© 2023 The Author(s); Published by Kerman University of Medical Sciences.
PY - 2023
Y1 - 2023
N2 - Background: Pneumonia is one of the leading causes of hospital admission in the United States with a global health burden of about 6.8 million hospitalizations and 1.1 million deaths in patients over 65 years old in 2015. This study aimed to identify possible patient and hospital-related risk factors for in-hospital pneumonia death across US hospitals. Methods: The National Inpatient Sample (NIS) was used to identify nationwide pneumonia patients (n = 374 766, weighted n = 1 873 828) from 2016 to 2019. We examined the characteristics of the study sample and their association with in-hospital death. Multivariate survey logistic regression models were used to identify risk factors. Results: During the study periods, in-hospital death rates continuously decreased (2.45% in 2016 to 2.19% in 2019). Descriptive statistics showed that patient and hospital factors had varied in-hospital death rates. Survey logistic regression results suggested that male, very low income, non-Medicare, government hospitals, rural hospitals, and specific hospital regions were associated with higher in-hospital death rates than their reference groups. Conclusion: Socioeconomic factors, including income and insurance, are associated with pneumonia mortality. Census region, hospital ownership, and rural location are also related to in-hospital mortality. Such findings in underserved, impoverished, and rural areas to identify possible health disparities.
AB - Background: Pneumonia is one of the leading causes of hospital admission in the United States with a global health burden of about 6.8 million hospitalizations and 1.1 million deaths in patients over 65 years old in 2015. This study aimed to identify possible patient and hospital-related risk factors for in-hospital pneumonia death across US hospitals. Methods: The National Inpatient Sample (NIS) was used to identify nationwide pneumonia patients (n = 374 766, weighted n = 1 873 828) from 2016 to 2019. We examined the characteristics of the study sample and their association with in-hospital death. Multivariate survey logistic regression models were used to identify risk factors. Results: During the study periods, in-hospital death rates continuously decreased (2.45% in 2016 to 2.19% in 2019). Descriptive statistics showed that patient and hospital factors had varied in-hospital death rates. Survey logistic regression results suggested that male, very low income, non-Medicare, government hospitals, rural hospitals, and specific hospital regions were associated with higher in-hospital death rates than their reference groups. Conclusion: Socioeconomic factors, including income and insurance, are associated with pneumonia mortality. Census region, hospital ownership, and rural location are also related to in-hospital mortality. Such findings in underserved, impoverished, and rural areas to identify possible health disparities.
KW - Health Disparity
KW - In-Hospital Death
KW - NIS Sample
KW - Pneumonia
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U2 - 10.34172/ijhpm.2023.7390
DO - 10.34172/ijhpm.2023.7390
M3 - Article
C2 - 37579357
AN - SCOPUS:85168137632
SN - 2322-5939
VL - 12
JO - International Journal of Health Policy and Management
JF - International Journal of Health Policy and Management
IS - 1
M1 - 7390
ER -