End-users feedback and perceptions associated with the implementation of a clinical-rule based Check of Medication Appropriateness service

BMC Medical Informatics and Decision Making(2022)

Cited 0|Views18
No score
Abstract
Background To support appropriate prescribing hospital-wide, the ‘Check of Medication Appropriateness’ (CMA) service was implemented at the University Hospitals Leuven. The CMA concerns a clinical rule based and pharmacist-led medication review service. The aim of this study was to explore both physicians’ and pharmacists’ feedback on the optimised CMA service to further improve the service. Methods An anonymous e-questionnaire was sent to all physicians active in the University Hospitals Leuven (n = 1631) and to all clinical pharmacists performing the CMA service (n = 16). Feedback was collected using multiple choice questions. During a 5-month period, physicians were also contacted in case of non-acceptance of recommendations to investigate barriers affecting implementation. Thematic analysis was performed and additional acceptance after telephone contact within 24 h was registered. Results A total of 119 physicians (7.3%) and 16 pharmacists (100%) completed the e-questionnaire. The overall service was assessed as clinically relevant to highly relevant by 77.7% of physicians. The main reasons for non-acceptance of recommendations were related to workload, work environment and time constraints. About two thirds (66.3%) of initially not-accepted recommendations were accepted after phone contact. A nearly full consensus was reached among pharmacists (15/16) on the centralised CMA being complementary to current clinical pharmacy activities. Two major barriers were reported by pharmacists: (1) too limited time allocation and (2) a large number of irrelevant alerts. Conclusions The CMA was perceived as clinically relevant by the majority of end-users. Acceptance rate of pharmaceutical recommendations was further increased by calling the physician. Increasing the specificity of clinical rules in the future is imperative.
More
Translated text
Key words
Clinical pharmacy, Medication review service, End-users, Feedback, e-survey
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined