A study to investigate the extent of delivery of an intervention in asthma, in a UK national community pharmacy chain, using mystery customers

2006 ◽  
Vol 60 (2) ◽  
pp. 246-252 ◽  
Author(s):  
Tracey Thornley ◽  
Nicola Gray ◽  
Claire Anderson ◽  
Stephen Eastham
Keyword(s):  
Community Pharmacy ◽  
National Community ◽  
Pharmacy Chain

scholarly journals 4012 Positive Deviants for Medication Therapy Management: A Mixed-Methods Comparative Case Study of Community Pharmacy Practices

2020 ◽  
Vol 4 (s1) ◽  
pp. 142-143
Author(s):  
Omolola A Adeoye-Olatunde ◽  
Leslie M. Lake ◽  
Karen S. Hudmon ◽  
Alan J. Zillich ◽  
Margie E. Snyder
Keyword(s):  
Mixed Methods ◽  
Community Pharmacy ◽  
Quality Measures ◽  
Medication Therapy Management ◽  
Comparative Case Study ◽  
Part D ◽  
Medication Therapy ◽  
Study Population ◽  
Pharmacy Chain

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.

Evaluating the Economic Impact of a Targeted Medication Intervention Program

2013 ◽  
Vol 26 (6) ◽  
pp. 562-573 ◽  
Author(s):  
Sarah A. Rhodes ◽  
Abigale E. Reynolds ◽  
Macary W. Marciniak ◽  
Stefanie P. Ferreri
Keyword(s):  
Community Pharmacy ◽  
Retrospective Analysis ◽  
Intervention Program ◽  
Community Pharmacists ◽  
Time Frame ◽  
Corporate Management ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Medication Intervention ◽  
Pharmacy Chain

Objective: To calculate the return on investment (ROI) for a targeted medication intervention program developed by corporate management of a community pharmacy. Design: Retrospective analysis and cross-sectional survey. Setting: Regional community pharmacy chain in North Carolina. Participants: Targeted medication interventions completed from February 1, 2010, to July 31, 2010, were included in the retrospective analysis. Community pharmacists employed by the pharmacy chain that completed the questionnaire were included in the cross-sectional analysis. Intervention: Targeted medication intervention services were provided to the patient and documented by the pharmacist. Main Outcome Measure: The ROI for a community pharmacist-provided targeted medication intervention program. Results: Of the 180 pharmacists, 69 completed the questionnaire (38% response rate). The average time to complete one targeted medication intervention was calculated to be 22.63 minutes. The total cost for providing a targeted medication intervention program during the study time frame was $15 760.86. Total revenue was $15 216.00; therefore, the program resulted in an ROI to the pharmacy chain of negative 3%. Conclusion: This 6-month study resulted in an ROI to the pharmacy chain of negative 3%. Under the current reimbursement model, for this program to break even, the average time to complete one targeted medication intervention must equal 21.85 minutes or less.

scholarly journals The Impact of a Digital Vaccine Consent Form in a Large Community Pharmacy Chain

2021 ◽  
Vol 12 (3) ◽  
pp. 14
Author(s):  
Aylin Unal ◽  
Amy Spakrman ◽  
Pramit Nadpara ◽  
Jean-Venable R. Goode
Keyword(s):  
Community Pharmacy ◽  
Digital Technologies ◽  
Consent Form ◽  
Pharmacy Services ◽  
Pharmacy Staff ◽  
Large Community ◽  
The Impact ◽  
To Receive ◽  
Patient Confidence ◽  
Pharmacy Chain

Background: A large community pharmacy chain implemented a new digital platform to eliminate the need for patients to fill out a traditional vaccine consent form in the pharmacy. The new digital vaccine consent form allowed patients to complete the form online, where it was transmitted directly to the pharmacy’s network. Objectives: To identify the characteristics of patients who used an online digital vaccine consent form to receive vaccinations and to evaluate patient satisfaction and confidence in utilizing the digital vaccine consent form to receive pharmacy services. Methods: This three-month prospective study was conducted in the Mid-Atlantic division of a large community pharmacy chain. A 16-question survey was developed using information from the literature to collect demographic information and patient confidence and satisfaction with the digital vaccine consent form. An email was sent to pharmacy staff containing instructions on the procedure for posting a recruitment flyer, distributing the survey post-vaccination, and how to return completed surveys. Univariate and bi-variate analysis were conducted. Results: Thirty-six participants responded to the survey, majority of participants were female (56%). Two patients used the digital vaccine consent form; both used because it was more convenient and were likely to use the form again. For those who did not use the digital vaccine consent form, 32% feel somewhat unconfident in using digital technologies for pharmacy services. A majority of patients prefer to be notified about new online services by email (39%) or advertisements in the pharmacy (31%). When asked the likelihood of using the digital vaccine consent form in the future, majority stated unlikely (34%) or neutral (25%). Conclusions: Most participants did not utilize the new digital vaccine form. This provides an opportunity to further engage patients on the availability and use of the digital vaccine consent form in order to advance digital technologies for pharmacy services.

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