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4012 Positive Deviants for Medication Therapy Management: A Mixed-Methods Comparative Case Study of Community Pharmacy Practices
- Omolola A Adeoye-Olatunde, Leslie M. Lake, Karen S. Hudmon, Alan J. Zillich, Margie E. Snyder
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- Journal:
- Journal of Clinical and Translational Science / Volume 4 / Issue s1 / June 2020
- Published online by Cambridge University Press:
- 29 July 2020, pp. 142-143
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- Article
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OBJECTIVES/GOALS: To optimize medication use in older adults, Medication Therapy Management (MTM) was launched as part of Medicare Prescription Drug (Part D) policy. The objective of this study was to generate hypotheses for strategies that contribute to community pharmacies’ ability to achieve high performance on policy relevant MTM quality measures. METHODS/STUDY POPULATION: This mixed-methods comparative case study design incorporated two conceptual models; the Positive Deviance model and Chronic Care Model. The study population consisted of pharmacy staff employed by a Midwestern division of a national supermarket-community pharmacy chain. Data consisted of semi-structured interviews and demographics. Qualitative and quantitative data were analyzed abductively or using descriptive statistics, respectively. Case comparisons were synthesized using the Framework Method. MTM quality measures used to evaluate participant pharmacies’ MTM performance mirrored quality measures under Domain 4 (Drug Safety and Accuracy of Drug Pricing) of the 2017 Medicare Part D Plan’ Star Rating measures. RESULTS/ANTICIPATED RESULTS: Staff at 13 of the 18 selected pharmacies (72.2%) participated in interviews. Interviewees included 11 pharmacists, 11 technicians and three student interns. Strategies hypothesized as contributing to MTM performance included: 1. Strong pharmacist-provider relationships and trust, 2. Inability to meet patients’ cultural, linguistic, and socioeconomic needs (negatively contributing), 3. Technician involvement in MTM, 4. Providing comprehensive medication reviews in person vs. phone alone, 5. Placing high priority on MTM, 6. Using maximum number of clinical information systems (CISs) to identify eligible patients. 7. Technicians using CISs to collect information for pharmacists, 8. Faxing prescribers adherence medication therapy problems (MTPs) and calling on indication MTPs. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study resulted in eight strategies hypothesized to contribute to community pharmacy performance on MTM quality measures. To inform MTM policy recommendations, future research should engage stakeholders to assist with prioritizing hypotheses to be tested in a larger representative sample of pharmacies. CONFLICT OF INTEREST DESCRIPTION: This research was supported, in part, with support from the Indiana Clinical and Translational Sciences Institute funded, in part by grant number TL1TR001107 from the National Institutes of Health, National Center for Advancing Translational Sciences, Clinical and Translational Sciences Award. Dr. Adeoye-Olatunde is a part-time employee and Dr. Lake is a full-time employee at the Midwestern division, national supermarket-community pharmacy chain, where study procedures were conducted. Dr. Snyder reports personal fees from Westat, Inc., outside the submitted work.
Antimicrobial Use Control Measures to Prevent and Control Antimicrobial Resistance in US Hospitals
- Alan J. Zillich, Jason M. Sutherland, Stephen J. Wilson, Daniel J. Diekema, Erika J. Ernst, Thomas E. Vaughn, Bradley N. Doebbeling
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 27 / Issue 10 / October 2006
- Published online by Cambridge University Press:
- 21 June 2016, pp. 1088-1095
- Print publication:
- October 2006
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Objective.
Clinical practice guidelines and recommended practices to control use of antibiotics have been published, but the effect of these practices on antimicrobial resistance (AMR) rates in hospitals is unknown. The objective of this study was to examine relationships between antimicrobial use control strategies and AMR rates in a national sample of US hospitals.
Design.Cross-sectional, stratified study of a nationally representative sample of US hospitals.
Methods.A survey instrument was sent to the person responsible for infection control at a sample of 670 US hospitals. The outcome was current prevalences of 4 epidemiologically important, drug-resistant pathogens, considered concurrently: methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci, ceftazidime-resistant Klebsiella species, and quinolone (ciprofloxacin)-resistant Escherichia coli Five independent variables regarding hospital practices were selected from the survey: the extent to which hospitals (1) implement practices recommended in clinical practice guidelines and ensure best practices for antimicrobial use, (2) disseminate information on clinical practice guidelines for antimicrobial use, (3) use antimicrobial-related information technology, (4) use decision support tools, and (5) communicate to prescribers about antimicrobial use. Control variables included the hospitals' number of beds, teaching status, Veterans Affairs status, geographic region, and number of long-term care beds; and the presence of an intensive care unit, a burn unit, or transplant services. A generalized estimating equation modeled all resistance rates simultaneously to identify overall predictors of AMR levels at the facility.
Results.Completed survey instruments were returned by 448 hospitals (67%). Four antimicrobial control measures were associated with higher prevalence of AMR. Implementation of recommended practices for antimicrobial use (P< .01) and optimization of the duration of empirical antibiotic prophylaxis (P<.01) were associated with a lower prevalence of AMR. Use of restrictive formularies (P = .05) and dissemination of clinical practice guideline information (P<.01) were associated with higher prevalence of AMR. Number of beds and Veterans Affairs status were also associated with higher AMR rates overall.
Conclusions.Implementation of guideline-recommended practices to control antimicrobial use and optimize the duration of empirical therapy appears to help control AMR rates in US hospitals. A longitudinal study would confirm the results of this cross-sectional study. These results highlight the need for systems interventions and reengineering to ensure more-consistent application of guideline-recommended measures for antimicrobial use.