Clinical pharmacologists and pharmacists can play an important role in identifying DRPs among neurology inpatients. Their recommendations for optimising medication-safety are most likely to be accepted for regular prescriptions, prescriptions associated with an adverse drug event and high-risk drug combinations.
BACKGROUND: Offering a drug-drug interaction (DDI) checker on-demand instead of computertriggered alerts is a strategy to avoid alert fatigue. OBJECTIVE: The purpose was to determine the use of such an on-demand tool, implemented in the clinical information system for inpatients. METH-ODS: The study was conducted at the University Hospital Zurich, an 850-bed teaching hospital. The hospital-wide use of the on-demand DDI checker was measured for prescribers and consulting pharmacologists. The number of DDIs identified on-demand was compared to the number that would have resulted by computer-triggering and this was compared to patient-specific recommendations by a consulting pharmacist. RESULTS: The on-demand use was analyzed during treatment of 64,259 inpatients with 1,316,884 prescriptions. The DDI checker was popular with nine consulting pharmacologists (648 checks/consultant). A total of 644 prescribing physicians used it infrequently (eight checks/prescriber). Among prescribers, internists used the tool most frequently and obtained higher numbers of DDIs per check (1.7) compared to surgeons (0.4). A total of 16,553 DDIs were identified on-demand, i.e., <10 % of the number the computer would have triggered (169,192). A pharmacist visiting 922 patients on a medical ward recommended 128 adjustments to prevent DDIs (0.14 recommendations/patient), and 76 % of them were applied by prescribers. In contrast, computer-triggering the DDI checker would have resulted in 45 times more alerts on this ward (6.3 alerts/patient). CONCLUSIONS: The on-demand DDI checker was popular with the consultants only. However, prescribers accepted 76 % of patient-specific recommendations by a pharmacist. The prescribers' limited on-demand use indicates the necessity for developing improved safety concepts, tailored to suit these consumers. Thus, different approaches have to satisfy different target groups.
Running TitleUse of an On-demand DDI Checker
Keywords (MeSH terms)
Please cite this article in press as: Imfeld-Isenegger TL, et al. Detection and resolution of drug-related problems at hospital discharge focusing on information availability -a retrospective analysis. Z. Evid. Fortbild. Qual. Gesundh. wesen (ZEFQ) ( 2021),
Background
During transitions of care, including hospital discharge, patients are at risk of drug-related problems (DRPs).
Aim
To investigate the impact of pharmacist-led services, specifically medication reconciliation at admission and/or interprofessional ward rounds on the number of DRPs at discharge.
Method
In this retrospective, single-center cohort study, we analyzed routinely collected data of patients discharged from internal medicine wards of a regional Swiss hospital that filled their discharge prescriptions in the hospital’s community pharmacy between June 2016 and May 2019. Patients receiving one of the two or both pharmacist-led services (Study groups: Best Care = both services; MedRec = medication reconciliation at admission; Ward Round = interprofessional ward round), were compared to patients receiving standard care (Standard Care group). Standard care included medication history taken by a physician and regular ward rounds (physicians and nurses). At discharge, pharmacists reviewed discharge prescriptions filled at the hospital’s community pharmacy and documented all DRPs. Multivariable Poisson regression analyzed the independent effects of medication reconciliation and interprofessional ward rounds as single or combined service on the frequency of DRPs.
Results
Overall, 4545 patients with 6072 hospital stays were included in the analysis (Best Care n = 72 hospital stays, MedRec n = 232, Ward Round n = 1262, and Standard Care n = 4506). In 1352 stays (22.3%) one or more DRPs were detected at hospital discharge. The combination of the two pharmacist-led services was associated with statistically significantly less DRPs compared to standard care (relative risk: 0.33; 95% confidence interval: 0.16, 0.65). Pharmacist-led medication reconciliation alone showed a trend towards fewer DRPs (relative risk: 0.75; 95% confidence interval: 0.54, 1.03).
Conclusion
Our results support the implementation of pharmacist-led medication reconciliation at admission in combination with interprofessional ward rounds to reduce the number of DRPs at hospital discharge.
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