The Internet, confidentiality, and the pharmacy.coms.
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Biomedical subjects
Publications and source records attributed to T K Hazlet.
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OBJECTIVE: Pharmaceutical companies often use drug samples as a marketing strategy in the ambulatory care setting. Little is known about how the availability of drug samples affects physicians' prescribing practices. Our goal was to assess: (1) under what circumstances and why physicians dispense drug samples, (2) if drug samples lead physicians to use medications other than their preferred drug choice, and (3) the physician characteristics that are associated with drug sample use. DESIGN: Cross-sectional survey. SETTING: University-based clinics at one academic medical center. PARTICIPANTS: 154 general medicine and family physicians. MEASUREMENTS AND MAIN RESULTS: Physicians' self-reported prescribing patterns for 3 clinical scenarios, including their preferred drug choice, whether they would use a drug sample and subsequently prescribe the sampled medication, and the importance of factors involved in the decision to dispense a drug sample. A total of 131 (85%) of 154 physicians responded. When presented with an insured woman with an uncomplicated lower urinary tract infection, 22 (17%) respondents reported that they would dispense a drug sample; 21 (95%) of 22 sample users stated that they would dispense a drug sample that differed from their preferred drug choice. For an uninsured man with hypertension, 35 (27%) respondents reported that they would dispense a drug sample; 32 (91%) of 35 sample users indicated that they would dispense a drug sample instead of their preferred drug choice. For an uninsured woman with depression, 108 (82%) respondents reported that they would dispense a drug sample; 53 (49%) of 108 sample users indicated that they would dispense a drug sample that differed from their preferred drug choice. Avoiding cost to the patient was the most consistent motivator for dispensing a drug sample for all 3 scenarios. For 2 scenarios, residents were more likely to report using drug samples than attendings (P <.05). When respondents who chose a drug sample for 2 or 3 scenarios were compared to those who never chose to use a drug sample, or chose a drug sample for only one scenario, only younger age was independently associated with drug sample use. CONCLUSION: In self-reports, the availability of drug samples led physicians to dispense and subsequently prescribe drugs that differ from their preferred drug choice. Physicians most often report using drug samples to avoid cost to the patient.
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National survey data were analyzed to determine whether an association existed between formulary strategies and hospital drug expenditures. Data on community hospitals were obtained from (1) ASHP's 1987 national survey of pharmaceutical services, (2) the American Hospital Association, and (3) the Health Care Financing Administration. Along with size, case mix, and salary information, data were collected on whether the hospitals used a well-controlled formulary, whether they used therapeutic interchange, and how much money they spent on drugs. A logarithmic cost-function model was used to obtain a straight-line equation that expressed the relationships between drug cost per patient day and the other variables assessed. Summary statistics were calculated with data from 514 hospitals. The adjusted coefficient of multiple determination indicated that the model was able to explain 24.6% of the observed variation in drug cost per patient day. A significant association was found between decreased costs and a well-controlled formulary, therapeutic interchange, or both. Hospitals that used either strategy spent 10.7% less for drugs than those that used neither. Hospitals that used both strategies spent 13.4% less than those that used neither. Analysis of national survey data suggests that use of a well-controlled formulary, therapeutic interchange, or both are associated with lower pharmacy drug expenditures.
Patients on long-term total parenteral nutrition were found to have elevated aluminum (AI) levels in bone, and plasma, with the casein in the total parenteral nutrition solution the source of A1. Substitution of amino acids for casein was followed by a fall in urinary and plasma A1. Thus, parenteral loading with A1 increases tissue A1, particularly in bone. Whether A1 accumulation contributes to bone disease remains unclear, but the prolonged use of casein in total parenteral nutrition solutions may be inadvisable.
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OBJECTIVE: To evaluate the performance of computerized drug-drug interaction (DDI) software in identifying clinically important drug-drug interactions. DESIGN: One-time performance test of computer systems using a standard set of prescriptions. SETTING: Community pharmacies or central corporate locations with pharmacy terminals identical to those used in actual pharmacies. PARTICIPANTS: Chain and health maintenance organization (HMO) pharmacies with seven or more practice sites in Washington State. A total of nine different DDI software programs were installed in 516 community pharmacies represented by these chains and HMOs. MAIN OUTCOME MEASURES: Sensitivity, specificity, and positive and negative predictive values of software in detecting 16 well-established DDIs contained within six fictitious patient profiles. RESULTS: The software systems failed to detect clinically relevant DDIs one-third of the time. Sensitivity of the software programs ranged from 0.44 to 0.88, with 1.00 being perfect; specificity ranged from 0.71 to 1.00; positive predictive value ranged from 0.67 to 1.00; and negative predictive value ranged from 0.69 to 0.90. For software packages that were installed at different locations, between-installation differences were observed. CONCLUSION: The performance of most DDI-detecting software programs tested in this study was suboptimal. Improvement is needed to advance their contribution to detection of DDIs.
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