Scaling Technician Product Verification (TPV): A Contextual Analysis of Implementation Factors in a Large Community Pharmacy Chain

Author(s):  
Jacob C. Saling ◽  
Daniel R. Atchley ◽  
Kelsey D. Frederick ◽  
Tyler M. Kiles ◽  
Leanne J. Rein ◽  
...  
2021 ◽  
Vol 12 (3) ◽  
pp. 14
Author(s):  
Aylin Unal ◽  
Amy Spakrman ◽  
Pramit Nadpara ◽  
Jean-Venable R. Goode

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.


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

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.


2013 ◽  
Vol 26 (6) ◽  
pp. 562-573 ◽  
Author(s):  
Sarah A. Rhodes ◽  
Abigale E. Reynolds ◽  
Macary W. Marciniak ◽  
Stefanie P. Ferreri

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.


2020 ◽  
Vol 11 (3) ◽  
pp. 19
Author(s):  
Chelsea Sprouse ◽  
Morgan Grant ◽  
Jaime Remines ◽  
Pramit Nadpara ◽  
Jean-Venable Goode

Background: Adherence, specifically to noninsulin diabetes medications, statins, and renin-angiotensin system antagonists (i.e. angiotensin-converting-enzyme inhibitors (ACEi), angiotensin II receptor blockers (ARBs), and aliskiren), is a measure tracked by the Centers for Medicare and Medicaid Services (CMS) to give Medicare Part D plans a star rating; pharmacies are impacted by these star ratings. The pharmacy is given a performance score based on the measure. Some pharmacies use a performance information management platform (PIMP) that allows pharmacies to better understand performance information to impact patient care. Objectives: (1) To evaluate if a monthly adherence monitoring and education service impacts the percentage of patients adherent determined by pharmacy performance scores; (2) To determine patient satisfaction with the service in a large community pharmacy chain. Methods: A six-month prospective interventional pilot study including patients with a proportion of days covered (PDC) of less than 80% for oral diabetes or renin-angiotensin system antagonists (RASA) medications was conducted in two pharmacies of a large community pharmacy chain in Southwest Virginia. Using pharmacy internal data analytics and PIMP data, the percentage of patients who are adherent to oral diabetes or RASA medications was determined including the baseline PDC for each patient. At the start of the study, the standard of care in this large community chain pharmacy was to address adherence, follow-up in one month and every three months thereafter. In this study, pharmacists provided monthly telephonic adherence monitoring and education for a six-month period. Each session was scripted for medication adherence history, education and data collection. The pharmacist provided guidance and counseling based on how the patient answered the questions. Pharmacists gathered information about adherence patterns and behaviors using a 14 item Likert-scale and multiple choice-based questionnaire during the first session. After completion of the final adherence monitoring and education session, pharmacists gathered patient satisfaction information using an eight item Likert-scale questionnaire. At the end of the six-month period, using PIMP data, the percentage of patients adherent to oral diabetes or RASA medications was determined based on pharmacy performance scores. The data was analyzed using uni-variate and bi-variate statistics to determine if there was a difference in pharmacy performance scores from the pre-study analysis. The adherence patterns and behaviors, as well as patient satisfaction with the program was evaluated to determine factors influencing nonadherence. Results: A total of 55 patients were identified in two pharmacies, ten of which were excluded or declined involvement, leaving 45 enrolled in the adherence monitoring and education service. Of the 45 enrolled patients, ten completed the adherence patterns and behaviors questionnaire. About half of the patients were men (50.95%) with an average age of 71.17 years and taking an average of 6.55 prescription medications. All patients had Medicare Part D insurance and majority had a yearly income of less than $40,000. The average baseline PDC was 68.92. In pharmacy 1, the average performance score for oral diabetes medications trended down and the average performance score for hypertension medications trended up over the study period. In pharmacy 2, the average performance score for oral diabetes medications trended up and the average performance score in hypertension medications trended up over the study period. The adherence patterns and behaviors questionnaire revealed the majority of patients rarely forgot to take medications or run out of medications. Additionally, cost of medications did not seem to impact adherence and majority of patients knew the names and indications of their medications. Only one patient completed the patient satisfaction survey. Conclusions: An adherence monitoring and education service had mixed results in improving patient adherence and pharmacy performance scores. Only one patient completed the satisfaction survey, thus no conclusions can be made regarding patient satisfaction of the program. More research needs to be done regarding telephonic adherence programs.   Article type: Original Research


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