Purpose: The acuity adjustment metric that correlates most closely with actual medication expense at a large, tertiary care academic medical center was investigated.
Methods: This evaluation was conducted at the Ohio State University Wexner Medical Center. All inpatient discharges between July 1, 2012, and March 31, 2013, were included in this study. Patient medical and financial records were used to obtain the diagnosis-related group (DRG) codes and total medication cost for each patient discharge. The primary DRG for each patient was then used to assign the corresponding relative weight (RW) and pharmacy intensity weight (PIW). The correlation between actual and predicted medication expenditure was determined for every DRG for both RW and PIW. Since this compares cost at the DRG level, RW and PIW were used as markers for case-mix index (CMI) and pharmacy intensity score (PIS), respectively.
Results: At this single institution, medication cost per discharge was more strongly correlated with PIW (as a marker for PIS) than with RW (as a marker for CMI). Extrapolating these data to hospital-specific values, the results suggest that PIS is more strongly correlated with overall medication expense than CMI and therefore a better adjustment metric for monitoring medication expense over time.
Conclusion: A single-institution study demonstrated that PIW was more strongly correlated than RW with actual medication expenditure. PIS may be a more accurate acuity metric than CMI for predicting changes in drug expense over time.
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http://dx.doi.org/10.2146/ajhp140755 | DOI Listing |
J Med Internet Res
January 2025
Institute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.
Background: Objective structured clinical examinations (OSCEs) are a widely recognized and accepted method to assess clinical competencies but are often resource-intensive.
Objective: This study aimed to evaluate the feasibility and effectiveness of a virtual reality (VR)-based station (VRS) compared with a traditional physical station (PHS) in an already established curricular OSCE.
Methods: Fifth-year medical students participated in an OSCE consisting of 10 stations.
J Chin Med Assoc
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Division of Trauma Surgery, Department of Emergency, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, ROC.
Background: Trauma is consistently among the top ten causes of death worldwide. The aging population, constituting 15.21% of adults aged over 65 in Taiwan as of November 2019, has significantly impacted healthcare expenditures.
View Article and Find Full Text PDFSTAR Protoc
January 2025
Department of Medicine, Division of Hematology, Oncology, and Transplantation, University of Minnesota Medical School, Minneapolis, MN, USA; Masonic Cancer Center, University of Minnesota Medical School, Minneapolis, MN, USA. Electronic address:
Tumor Treating Fields (TTFields) are electric fields clinically approved for cancer treatment, delivered via arrays attached to the patient's skin. Here, we present a protocol for applying TTFields to torso orthotopic and subcutaneous mouse tumor models using the inovivo system. We guide users on proper system component connections, study protocol design, mouse fur depilation, array application, and treatment condition adjustment and monitoring.
View Article and Find Full Text PDFBiosimilars can potentially increase patient treatment options, allowing access to expensive biologic medications. As frontline caregivers, nurses are uniquely positioned to educate patients on their safety and effectiveness. This article discusses biosimilars and standard terms, their development process, and strategies for nurses to provide effective patient education about these medications.
View Article and Find Full Text PDFExpert Rev Pharmacoecon Outcomes Res
January 2025
School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Background: Empirical evidence regarding temporal trends in cost per quality-adjusted life year (QALY) gained remains limited. This study investigates the evolution of cost-effectiveness for diabetes mellitus treatments over time.
Research Design And Methods: We analyzed cost-effectiveness analyses of anti-diabetic pharmaceuticals extracted from the Tufts Medical Center Cost-Effectiveness Analysis Registry (CEAR).
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