An Episodic Study of Hospital Charges for Hospital Admissions and Readmissions in 2017 in the United States for Degenerative Nerve Systems Disorders (DRG = 056)
Abstract
Understanding hospital charges upon admission as well as readmissions is critical for value-based care. The extant literature focuses on patient-specific, disease-specific, and hospital-specific factors to explain the variance in hospital charges across the United States. Studies have mainly examined hospital charges upon admissions but there has been lack of empirical research on examining hospital charges upon readmissions. This has resulted in ambiguity in understanding the primary determinants of hospital charges upon readmissions. To address this gap, the federal agency AHRQ developed the HCUP hospital readmissions database that produces nationally representative information about hospital readmissions. This study utilizes the AHRQ 2017 hospital admissions and the readmissions database to explain the variance in hospital charges for readmissions under the specific diagnostic group–the degenerative nerve system disorders (DRG = 056).
Patient demographics, diagnostic characteristics, and in-patient care variables were considered for the neurodegenerative disorders. Correlation and regression analyses of the continuous variables within available data were employed, and results were captured into potential explanations for variance in hospital charges. Both significant and non-significant results were utilized in the narrative to serve as a basis for the correction of prevailing knowledge.
The data analysis reveals that patient demographics (age, gender, income) and in-patient care variables (number of diagnoses, number of procedures, and length of stay) appeared to be the primary determinants of hospital charges for readmissions. Diagnostic characteristics such as the risk of mortality, the severity of illness, and the primary expected payer had no significance.
Faculty Sponsors
Ravi Chinta, Ph.D., Dr. Pallavi Awasthi
Project Type
Event
Location
Alvin Sherman Library
Start Date
4-6-2022 12:00 PM
End Date
4-7-2022 5:00 PM
An Episodic Study of Hospital Charges for Hospital Admissions and Readmissions in 2017 in the United States for Degenerative Nerve Systems Disorders (DRG = 056)
Alvin Sherman Library
Understanding hospital charges upon admission as well as readmissions is critical for value-based care. The extant literature focuses on patient-specific, disease-specific, and hospital-specific factors to explain the variance in hospital charges across the United States. Studies have mainly examined hospital charges upon admissions but there has been lack of empirical research on examining hospital charges upon readmissions. This has resulted in ambiguity in understanding the primary determinants of hospital charges upon readmissions. To address this gap, the federal agency AHRQ developed the HCUP hospital readmissions database that produces nationally representative information about hospital readmissions. This study utilizes the AHRQ 2017 hospital admissions and the readmissions database to explain the variance in hospital charges for readmissions under the specific diagnostic group–the degenerative nerve system disorders (DRG = 056).
Patient demographics, diagnostic characteristics, and in-patient care variables were considered for the neurodegenerative disorders. Correlation and regression analyses of the continuous variables within available data were employed, and results were captured into potential explanations for variance in hospital charges. Both significant and non-significant results were utilized in the narrative to serve as a basis for the correction of prevailing knowledge.
The data analysis reveals that patient demographics (age, gender, income) and in-patient care variables (number of diagnoses, number of procedures, and length of stay) appeared to be the primary determinants of hospital charges for readmissions. Diagnostic characteristics such as the risk of mortality, the severity of illness, and the primary expected payer had no significance.
