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Full-Text Articles in Medicine and Health Sciences
Over-Utilization Of Advanced Imaging In The Hospital Setting: An Educational Approach To Reduce Unnecessary Inpatient Studies, Guillermo Madero, J. Platnick, L. Voutsinas, R. Wetz, S. Buchbinder
Over-Utilization Of Advanced Imaging In The Hospital Setting: An Educational Approach To Reduce Unnecessary Inpatient Studies, Guillermo Madero, J. Platnick, L. Voutsinas, R. Wetz, S. Buchbinder
Internal Medicine
By several measures, health care spending continues to rise, forcing businesses and families to cut back on operations and household expenses. In 2008, health care spending in the United States reached $2.4 trillion dollars, and is projected to reach $3.1 trillion in 2012.During the past decades, there has been a steady increase in the utilization of expensive inpatient imaging studies, with an overall increase in health care costs. In particular, advanced imaging includes CT, MRI and Nuclear Medicine, used for the diagnosis and management of hospitalized patients. The reasons for unnecessary imaging examinations include indirect financial benefit to physicians, medico-legal …
Uncompensated Care Cost: A Pilot Study Using Hospitals In A Texas County, Alberto Coustasse, Andrea L. Lorden, Vishal Nemarugommula, Karan P. Singh
Uncompensated Care Cost: A Pilot Study Using Hospitals In A Texas County, Alberto Coustasse, Andrea L. Lorden, Vishal Nemarugommula, Karan P. Singh
Management Faculty Research
The financial ramifications of uncompensated care cost (UCC) on the healthcare industry have been difficult to quantify. With the lack of a standardized definition of uncompensated care and the need to account for the uninsured, indigent, and immigrant populations, the authors identified $190 million of UCC from Southwestern border hospitals for emergency room treatment of undocumented immigrants and $934 million of uncompensated care charges for 23 hospitals in a Texas county, which translated to $353 million of UCC. Although lawmakers passed the Medicare Prescription Drug Improvement and Modernization Act (2003) to address the growing imbalance, the shortfall of funds highlights …
Kawasaki Syndrome In Texas, Alberto Coustasse, Julius J. Larry, Witold Migala, Cody Arvidson, Karan P. Singh
Kawasaki Syndrome In Texas, Alberto Coustasse, Julius J. Larry, Witold Migala, Cody Arvidson, Karan P. Singh
Management Faculty Research
The authors examined hospitalization rates of Kawasaki Syndrome (KS) among Texas children to isolate clusters, identify demographic disparities, and suggest possible causative factors. Using a retrospective cross-sectional study design, they studied 330 KS cases from 2,818,460 hospital discharges. The majority of the cases (61.5%) occurred within the 1-4-years-old category, representing the highest hospitalization rate (14.3 per 100,000 children). Almost 75% of the KS population was less than 5 years old, with hospitalization rates approximately 8 times higher than that of all other children (p < .05). KS diagnosis occurred for only 49.4% of all KS cases upon admission. Along with high-density clusters identified in major metropolitan areas, the authors found the highest rates of KS among Asian and Pacific Islander and non-Hispanic black children. Genetic predispositions and access to healthcare issues may explain the results. The authors recommend improving educational initiatives with healthcare providers and establishing KS as a reportable condition.
Predicting Patients’ Use Of Provider-Delivered E-Health: The Role Of Facilitating Conditions, E. Vance Wilson, Nancy K. Lankton
Predicting Patients’ Use Of Provider-Delivered E-Health: The Role Of Facilitating Conditions, E. Vance Wilson, Nancy K. Lankton
Accounting Faculty Research
This chapter presents a new rational-objective (R-O) model of e-health use that accounts for effects of facilitating conditions as well as patients’ behavioral intention. An online questionnaire measured patients’ behavioral intention to use a new e-health application as well as proxy measures of facilitating conditions that assess prior use of and structural need for health services. A second questionnaire administered three months later collected patients’ self-reported use of e-health during the intervening period. The new model increased predictions of patients’ e-health use (measured in R2) by more than 300% over predictions based upon behavioral intention alone, and all measured factors …