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Title: Partnered pharmacist medication charting (PPMC) in regional and rural general medical patients.
Author: Tong, E.
Hua, P.
Edwards, G.
Van Dyk, E.
Yip, G.
Mitra, B.
Dooley, M.
Issue Date: 2022
Publication Title: Australian Journal of Rural Health
Volume: 30
Issue: 5
Start Page: 593
End Page: 600
Abstract: Objective Errors in hospital medication charts are commonly encountered and have been associated with morbidity and mortality. This study evaluates the impact of the Partnered Pharmacist Medication Charting (PPMC) model on medication errors in general medical patients admitted to rural and regional hospitals. Design/Method A prospective cohort study, comparing before and after the introduction of PPMC was conducted in 13 rural and regional health services. This included a 1-month pre-intervention phase and 3-month intervention phase. In the intervention phase, PPMC was implemented as a new model of care in general medical units. Setting Victoria, Australia. Participants Patients admitted to General Medical Units. Outcome Measure The proportion of medication charts with at least one error was the primary outcome measure. Secondary outcome measures included inpatient length of stay (LOS), risk stratification of medication errors, Medical Emergency Team (MET) calls, transfers to ICU and hospital readmission. Results Of the 669 patients who received standard medical charting during the pre-intervention period, 446 (66.7%) had at least one medication error identified compared to 64 patients (9.5%) using PPMC model (p < 0.001). There were 1361 medication charting errors identified during pre-intervention and 80 in the post-intervention. The median (interquartile range) inpatient length of stay was 4.8 (2.7–10.8) in the pre-intervention and 3.7 days (2.0–7.0) among patients that received PPMC (p < 0.001). Conclusion The PPMC model was successfully scaled across rural and regional Victoria as a medication safety strategy. The model was associated with significantly lower rates of medication errors, lower severity of errors and shorter inpatient length of stay.
Description: Includes data from BHS and WHCG
Internal ID Number: 02072
Type: Journal Article
Appears in Collections:Research Output

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