PubMed · 15551682
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Greg Gillespie. 2004. Data mining: solving care, cost capers.. https://pubmed.ncbi.nlm.nih.gov/15551682/
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PURPOSE: An analysis was conducted of pharmacist interventions and resuscitation experiences, including pharmacist participation in a hospital emergency department (ED), and the potential cost avoidance associated with the interventions made by the pharmacists. METHODS: All pharmacists working in the ED prospectively documented the pharmacist interventions that were accepted by physicians and nursing staff and entered into a spreadsheet on a weekly basis, between September 1, 2003, and December 31, 2003. Intervention categories included the provision of drug information; recommendations for dosage adjustment, formulary interchange, initiation of medications, alternative drug therapy, discontinuation of drug therapy, changes in medication therapy due to allergy notification, drug therapy duplication prevention, or changes in the route of drug administration; questions from nursing staff; order clarifications; drug compatibility issues; patient information; toxicology; and drug interaction identification. Intervention data were analyzed and the likelihood of harm was scored; interventions were classified and analyzed by calculating average cost, probability of harm, and potential cost avoidance. RESULTS: During the study, 2150 pharmacist interventions were documented. Pharmacists participated in the care of 1042 patients triaged to the resuscitation area of the ED. Cost avoidance during the study was determined to be 1,029,776 dollars. CONCLUSION: The most commonly documented interventions made by pharmacists involved in the care of patients visiting the ED included provision of drug information, dosage adjustment recommendations, responses to questions from nursing staff, formulary interchanges, and suggestions regarding initiation of drug therapy. The potential cost avoidance attributable to the pharmacist interventions during the study period was over 1 million dollars.
In this paper we attempt to identify behavioral differences between public and private not-for-profit hospitals, by exploiting the introduction of the DRG-based payment system in the Italian NHS during the second half of the 1990s. We estimate the technical efficiency of a sample of hospitals for the period 1995-2000 considering an output distance function, and adopting both parametric (COLS and SF) and nonparametric (DEA) approaches. Our results show a convergence of mean efficiency scores between not-for-profit and public hospitals, and seem to suggest that differences in economic performances between competing ownership forms are more the result of the institutional settings in which they operate than the effect of the incentive structures embedded in the different proprietary forms. We also observe a decline in technical efficiency, probably due to policies aimed at reducing hospitalization rates.
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