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ORIGINAL ARTICLE
Year : 2021  |  Volume : 26  |  Issue : 4  |  Page : 151-159

Patient satisfaction with a pharmacist-led best possible medication discharge plan via tele-robot in a remote and rural community hospital


Northwest Telepharmacy Solutions Winnipeg, Manitoba, Canada

Correspondence Address:
BSc Phm ACPR Paula Newman
Northwest Telepharmacy Solutions Winnipeg, Manitoba
Canada
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/cjrm.cjrm_74_20

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Introduction: Medication reconciliation (MedRec) reduces the risk of preventable medication-related adverse events (ADEs). A best possible medication discharge plan (BPMDP) is a revised list of medications a patient will take when discharged from hospital; a pharmacist review ensures accuracy. For many hospitals, on-site pharmacists are non-existent. Extension of a visual presence via a mobile robotic platform with real-time audiovisual communication by pharmacists to conduct MedRec remains unstudied. This study explored patient perceptions of a pharmacist-led BPMDP using a telepresence robot. Time requirements, unintentional discharge medication discrepancies (UMD), programme inefficiencies/barriers and facilitators involved in pharmacist review of the discharge medication list and patient interviews were also described. Methods: This prospective cohort study enrolled adult patients admitted to a 12-bed community hospital at high risk of an ADE. Remote pharmacists reviewed the discharge prescription list, identified/resolved UMDs, and interviewed/counselled patients using a telepresence robot. Thereafter, patients completed an anonymous satisfaction questionnaire. Prescriber discharge UMDs were classified, and barriers/inefficiencies and facilitators were documented. Results: Nine patients completed an interview, with a 75% interview agreement rate. All patients were comfortable with the robot and 76% felt their care was better. With a median of 11 discharge medications/patient, the UMD rate was 78%; 71% had omitted medications, 43% involved a cardiovascular medication, 88% were due to a hospital system cause, and 43% were specifically due to an inaccurate best possible admission medication history. Median times for interview preparation, interview and UMD/drug therapy problem resolution were 45, 15 and 10 min, respectively. Conclusion: Using a telepresence robot to provide pharmacist-led BPMDPs is acceptable to patients and an innovative, effective solution to identify/resolve UMDs.


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