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S Troy McMullin

Publications and source records attributed to S Troy McMullin.

4 recordsLinked to original sources

Twelve-month drug cost savings related to use of an electronic prescribing system with integrated decision support in primary care.

OBJECTIVE: We reported previously the results of a 6-month controlled trial in which the use of a commercially available electronic prescribing system with integrated clinical decision support and evidence-based message capability was associated with significantly lower primary care drug costs. The original study focused on new prescriptions, defined as claims for a medication that the patient had not received in the previous 12 months. The main objectives of this follow-up report were to (a) determine if the 6-month savings on new prescriptions were sustained during 12 months of follow-up, (b) evaluate the impact of the computerized decision support system (CDSS) on all pharmacy claims and per-member-per-month (PMPM) expenditures, and (c) evaluate the prescribing behaviors within 8 high-cost therapeutic categories that were frequently targeted by the electronic messages to prescribers to help verify that the drug cost savings were due to the recommendations in the electronic prescribing system. METHODS: Two database queries were performed to identify additional pharmacy claims data for all Network Health Plan patients who were cared for by the 38 primary care clinicians (32 physicians, 4 nurse practitioners, and 2 physician assistants) included in our original 6-month study. This follow-up analysis (a) identified all new prescription claims for the 2 groups of clinicians throughout the 12-month follow-up period (June 2002 through May 2003) and (b) assessed all pharmacy claims during the same 12-month period to provide more complete savings estimates and to examine between-group differences in PMPM expenditures. RESULTS: During 12 months of follow-up, clinicians using the electronic prescribing system continued to have lower prescription costs than the controls. Clinicians using the electronic prescribing system had average costs for 26,674 new prescriptions that were dollar 4.12 lower (95% confidence interval, dollar 1.53-dollar 6.71; P=0.003) and PMPM expenditures that were dollar 0.57 lower than expected based on the changes observed for 24,507 new prescriptions written by clinicians in the control group. The average drug cost savings on new prescriptions were dollar 482 per prescriber per month (PPPM), based upon prescription cost and dollar 465 PPPM based upon PMPM analysis. When all pharmacy claims (156,429) were analyzed, the intervention group.s average prescription cost was dollar 2.57 lower and their PMPM expenditures were dollar 1.07 lower than expected based on the changes observed in the control group. The average drug cost savings on all pharmacy claims were dollar 863 PPPM based on average prescription cost and dollar 873 PPPM based on PMPM analysis. The proportion of prescriptions for highcost drugs that were the target of the CDSS messages to prescribers was a relative 17.5% lower among the intervention group (35.8%) compared with the control group (43.4%; P=0.03). CONCLUSIONS: An electronic prescribing system with integrated decision support shifted prescribing behavior away from high-cost therapies and significantly lowered prescription drug costs. The savings associated with altered prescribing behavior offset the monthly subscription cost of the system.

Ambulatory Care Information Systems↗

Using information systems technology to improve antibiotic prescribing.

The selection of antimicrobial agents in the hospital setting is still a largely manual task and, therefore, fraught with the potential for error. This includes the choice of agents, dosage regimens, and monitoring for response and toxicity. The authors describe current and future strategies to use information technology to improve the process of antimicrobial selection and to avoid dosing errors and contraindicated drug combinations. The possible role of decision support in preventing the emergence of resistance is also discussed.

Anti-Bacterial Agents↗

Impact of an evidence-based computerized decision support system on primary care prescription costs.

PURPOSE: Although newer, heavily promoted medications are commonly prescribed, published evidence and consensus guidelines often support the use of less expensive alternatives. This study was designed to evaluate the impact on prescription costs of a computerized decision support system (CDSS) that provides evidence-based recommendations to clinicians during the electronic prescribing process. METHODS: A retrospective cohort study was performed using a pharmacy claims database. Clinicians using the CDSS were matched with a control group by pharmacy billed amount, number of patients treated, and number of new prescriptions filled during a 6-month baseline period in which neither group used the system. The primary outcome measure was the difference in prescription costs between the 2 groups after implementation of the CDSS in the intervention group. RESULTS: Clinicians who received evidence-based messages had significantly lower prescription costs than those in the control group. The average cost per new prescription was 4.16 dollars lower (P = .02) in the intervention group, and the average cost for new and refilled prescriptions was 4.99 dollars lower (P = .01). The 6-month savings from new prescriptions and their refills are estimated to be 3,450 dollars (95% CI, 1,030-5,863 dollars) per clinician. CONCLUSIONS: Providing electronic, evidence-based decision support during the prescribing process can shift prescribing decisions toward more evidence-based care and significantly decrease primary care prescription costs.

Analysis of Variance↗