| ORIGINAL ARTICLE |
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| Year : 2021 | Volume
: 26
| Issue : 4 | Page : 151-159 |
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Patient satisfaction with a pharmacist-led best possible medication discharge plan via tele-robot in a remote and rural community hospital
Paula Newman, Sammu Dhaliwall, Satvir Bains, Olena Polyakova, Kevin McDonald
Northwest Telepharmacy Solutions Winnipeg, Manitoba, Canada
Correspondence Address:
BSc Phm ACPR Paula Newman
Northwest Telepharmacy Solutions Winnipeg, Manitoba
Canada
 Source of Support: None, Conflict of Interest: None  | 1 |
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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