Determinants of Hospital Charges for Hospital Admissions and Readmissions in 2017 in the United States for Bronchitis and Asthma with Complications and Comorbidities (DRG = 202)
Abstract
Understanding hospital charges in the U.S. healthcare system is vital for value-based care, recovery, and socio-economic wellbeing of the public. Hospital charges vary across hospitals regionally as well as nationally. As per the clinical history of hospital in-patient care, there are several determinants of hospital charges that are specific to the patient, disease, hospital, or the chargemaster. Empirical research on hospital in-patient care has bolstered the extant knowledge on the factors that determine the healthcare cost and utilization, but research is limited on how hospital readmissions impact hospital charges. The Agency for Healthcare Research and Quality (AHRQ) has developed a nationally representative HCUP database for hospital charges in general and readmissions. We utilize the 2017 HCUP database for both hospital admissions and readmissions to determine the hospital charges for the patient’s diagnosed with Bronchitis and Asthma (DRG = 202). The findings of this study are significant for enhancing the overall effectiveness of the U.S. healthcare system and patient’s long-term care and recovery.
The HCUP database provides 78,304 records for patients diagnosed with Bronchitis and Asthma. Specifically, this study utilizes HCUP National Inpatient Sample (NIS) and the National Readmission Database (NRD) to examine how variables such as age, gender, income, risk of mortality, severity of illness, primary expected payer, number of diagnoses, number of procedures, and length of stay impacts the hospital admission charges in in general as well as readmissions for Bronchitis and Asthma (DRG=202). The linear regression analysis method was used to examine the correlation between the variables of interest in this study.
The NRD data findings indicate that primary expected payer, number of diagnoses, and length of stay are significant determinants of increase in hospital readmission charges. Similarly, NIS data findings highlight that In-patient care variables such as income, primary expected payer, number of diagnoses, and length of stay) are significant determinants of hospital charges in general. Specifically, for the patient’ s diagnosed with Bronchitis and Asthma (DRG=202), the results show that number of diagnoses, primary expected payer, and length of stay are significant determinants of increase in hospital charges for readmissions.
Faculty Sponsors
Pallavi Awasthi, Ph.D., Ravi Chinta, Ph.D.
Project Type
Event
Location
Alvin Sherman Library
Start Date
4-6-2022 12:00 PM
End Date
4-7-2022 5:00 PM
Determinants of Hospital Charges for Hospital Admissions and Readmissions in 2017 in the United States for Bronchitis and Asthma with Complications and Comorbidities (DRG = 202)
Alvin Sherman Library
Understanding hospital charges in the U.S. healthcare system is vital for value-based care, recovery, and socio-economic wellbeing of the public. Hospital charges vary across hospitals regionally as well as nationally. As per the clinical history of hospital in-patient care, there are several determinants of hospital charges that are specific to the patient, disease, hospital, or the chargemaster. Empirical research on hospital in-patient care has bolstered the extant knowledge on the factors that determine the healthcare cost and utilization, but research is limited on how hospital readmissions impact hospital charges. The Agency for Healthcare Research and Quality (AHRQ) has developed a nationally representative HCUP database for hospital charges in general and readmissions. We utilize the 2017 HCUP database for both hospital admissions and readmissions to determine the hospital charges for the patient’s diagnosed with Bronchitis and Asthma (DRG = 202). The findings of this study are significant for enhancing the overall effectiveness of the U.S. healthcare system and patient’s long-term care and recovery.
The HCUP database provides 78,304 records for patients diagnosed with Bronchitis and Asthma. Specifically, this study utilizes HCUP National Inpatient Sample (NIS) and the National Readmission Database (NRD) to examine how variables such as age, gender, income, risk of mortality, severity of illness, primary expected payer, number of diagnoses, number of procedures, and length of stay impacts the hospital admission charges in in general as well as readmissions for Bronchitis and Asthma (DRG=202). The linear regression analysis method was used to examine the correlation between the variables of interest in this study.
The NRD data findings indicate that primary expected payer, number of diagnoses, and length of stay are significant determinants of increase in hospital readmission charges. Similarly, NIS data findings highlight that In-patient care variables such as income, primary expected payer, number of diagnoses, and length of stay) are significant determinants of hospital charges in general. Specifically, for the patient’ s diagnosed with Bronchitis and Asthma (DRG=202), the results show that number of diagnoses, primary expected payer, and length of stay are significant determinants of increase in hospital charges for readmissions.
