| Abstract: | BackgroundCommunity pharmacists have the responsibilities of identifying and resolving medication-related problems (MRPs), thereby improving patient safety.ObjectivesTo deliver a series of clinical case scenarios using WhatsApp and assess the impact of this method on the ability of pharmacists to identify MRPs.MethodsThis study was conducted in 104 community pharmacies in the United Arab Emirates (UAE) over a period of six months. Recruited pharmacies were randomly allocated to either intervention or control groups using a 1:1 allocation ratio. Senior experts in clinical pharmacy created a series of clinical case scenarios based on their clinical practice and based on previous published studies related to MRPs. WhatsApp®, a well-known messenger application, which has been proven to be an efficient platform to improve communication between learners and educators, was used to deliver clinical scenarios-based educational interventions to pharmacists. Then, pharmacists from both groups filled a standardized data reporting form. The clinical importance of pharmacist recommendations was assessed by a multidisciplinary expert panel.ResultsThe total number of patients with MRPs across the intervention and control groups was 492 versus 194 (p = 0.01). While the number of MRPs identified, the mean time needed to resolve MRPs for patients with major polypharmacy, and physicians' acceptance of pharmacist recommendations across the intervention and control groups were 492 versus 194, 1589 versus 255, 6.82 (±3.86) versus 10.78 (±6.38), and 1065/1284 (82.94%) versus 125/201 (62.18%), respectively, all with p < 0.05. Efficacy-related problems (27.56%) and safety-related problems (28.44%) were the most commonly identified MRPs by pharmacists in the intervention group. Clinically significance of pharmacist recommendations was a significant predictive factor for physicians’ acceptance of pharmacist recommendations.ConclusionClinical case scenarios delivered by WhatsApp may be useful for improving the ability of pharmacists to identify MRPs and for shortening the mean time needed to resolve MRPs. |
