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1.
Front Pharmacol ; 13: 1030406, 2022.
Article in English | MEDLINE | ID: mdl-36452222

ABSTRACT

Background: Single elements of the Closed Loop Medication Management process (CLMM), including electronic prescribing, involvement of clinical pharmacists (CPs), patient individual logistics and digital administration/documentation, have shown to improve medication safety and patient health outcomes. The impact of the complete CLMM on patient safety, as reflected in pharmacists' interventions (PIs), is largely unknown. Aim: To evaluate the extent and characterization of routine PIs performed by hospital-wide CPs at a university hospital with an implemented CLMM. Methods: This single-center study included all interventions documented by CPs on five self-chosen working days within 1 month using the validated online-database DokuPIK (Documentation of Pharmacists' Interventions in the Hospital). Based on different workflows, two groups of CPs were compared. One group operated as a part of the CLMM, the "Closed Loop Clinical Pharmacists" (CL-CPs), while the other group worked less dependent of the CLMM, the "Process Detached Clinical Pharmacists" (PD-CPs). The professional experience and the number of medication reviews were entered in an online survey. Combined pseudonymized datasets were analyzed descriptively after anonymization. Results: A total of 1,329 PIs were documented by nine CPs. Overall CPs intervened in every fifth medication review. The acceptance rate of PIs was 91.9%. The most common reasons were the categories "drugs" (e.g., indication, choice of formulation/drug and documentation/transcription) with 42.7%, followed by "dose" with 29.6%. One-quarter of PIs referred to the therapeutic subgroup "J01 antibacterials for systemic use." Of the 1,329 underlying PIs, 1,295 were classified as medication errors (MEs) and their vast majority (81.5%) was rated as "error, no harm" (NCC MERP categories B-D). Among PIs performed by CL-CPs (n = 1,125), the highest proportion of errors was categorized as B (56.5%), while in the group of PIs from PD-CPs (n = 170) errors categorized as C (68.2%) dominated (p < 0.001). Conclusion: Our study shows that a structured CLMM enables CPs to perform a high number of medication reviews while detecting and solving MEs at an early stage before they can cause harm to the patient. Based on key quality indicators for medication safety, the complete CLMM provides a suitable framework for the efficient medication management of inpatients.

2.
Ther Umsch ; 71(6): 343-51, 2014 Jun.
Article in German | MEDLINE | ID: mdl-24867349

ABSTRACT

The provision of drugs to hospitalised patients is a complex process with the involvement of different healthcare professionals. As pharmacotherapy is (1) one of the most common medical interventions, (2) a high-risk procedure, and (3) affects the majority of hospitalised patients, medication errors have sustainable impact on patient safety. Although medication errors can occur at different stages of drug use (prescribing, dispensing, administration), they are most likely within the prescribing process. According to the Reason's model of accident causation, these errors can be divided into active failures, error-provoking conditions, and latent conditions. Commonly, the complex interaction between lacking knowledge and/or experience, rule-based mistakes, skill-based slips and memory lapses, inadequate working environment (exessive work load, fatigue) as well as poor communication and safety culture is causative for prescribing errors. Therefore, good prescribing should include the following items: Adherence to formal criteria (e. g. avoidance of abbreviations), performance of medication reconciliation, implementation of an electronic prescribing system (computerised physician order entry, CPOE) - preferably combined with a clinical decision support system (CDSS), education and training as well as the establishment of a positive error management culture. The implementation of recommendations to reduce prescribing errors is described on the basis of established processes in hospitals.


Subject(s)
Hospitalization , Medication Errors/prevention & control , Medication Systems, Hospital/standards , Practice Patterns, Physicians'/standards , Quality Indicators, Health Care/standards , Decision Support Techniques , Electronic Prescribing/standards , Germany , Humans , Inservice Training/standards , Interdisciplinary Communication , Medication Reconciliation/standards , Teach-Back Communication/standards
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