The Effect of Community Pharmacy Technicians on Industry Standard Adherence Performance Measures After Cognitive Pharmaceutical Services Training
2016
Background: Cognitive pharmaceutical services (CPS) provided by pharmacists can improve patient adherence and industry standard performance measures. Community pharmacy technicians can aid in CPS support tasks on training, but it is unknown to what extent. Objective: To determine the effect of community pharmacy technicians on industry standard adherence performance measures after CPS training. Methods: Sixteen community pharmacy technicians within a supermarket chain division were chosen to participate in CPS training based on internal pharmacy benchmarking data. The training program consisted of 3 components: (1) classroom and (2) web-based training for medication therapy management platforms and (3) Hands-on in-pharmacy training. Researchers used pharmacy-specific EQuIPP reports of the proportion of days covered (PDC) for adherence related to diabetes, cholesterol, and hypertension to measure the primary outcome. September through October 2015 represented baseline data. November 2015 through March 2016 represented intervention data. Descriptive and inferential statistics were utilized for this retrospective analysis. The University of Tennessee Institutional Review Board classified the study exempt from review. Results: Overall, 100% of Cholesterol PDC 4-Star sites improved to a 5-Star score and 56% of sites improved in the Diabetes PDC score. All sites maintained a 5-Star score for RASA PDC postintervention. An average increase of 2.36% was observed for Cholesterol PDC across all sites. Possible lag time between the intervention and score improvements may limit relatability of results. Conclusions: This is the first study to report a positive trend between technician involvement in CPS and improvement in industry standard adherence performance measures. Further research capturing a longer time frame may be beneficial.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
6
References
11
Citations
NaN
KQI