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1.
BMJ Health Care Inform ; 27(3)2020 Aug.
Article in English | MEDLINE | ID: mdl-32796084

ABSTRACT

BACKGROUND: Electronic medication systems (EMS) have been highly effective in reducing prescribing errors, but little research has investigated their effects on medication administration errors (MAEs). OBJECTIVE: To assess changes in MAE rates and types associated with EMS implementation. METHODS: This was a controlled before and after study (three intervention and three control wards) at two adult teaching hospitals. Intervention wards used an EMS with no bar-coding. Independent, trained observers shadowed nurses and recorded medications administered and compliance with 10 safety procedures. Observational data were compared against medication charts to identify errors (eg, wrong dose). Potential error severity was classified on a 5-point scale, with those scoring ≥3 identified as serious. Changes in MAE rates preintervention and postintervention by study group, accounting for differences at baseline, were calculated. RESULTS: 7451 administrations were observed (4176 pre-EMS and 3275 post-EMS). At baseline, 30.2% of administrations contained ≥1 MAE, with wrong intravenous rate, timing, volume and dose the most frequent. Post-EMS, MAEs decreased on intervention wards relative to control wards by 4.2 errors per 100 administrations (95% CI 0.2 to 8.3; p=0.04). Wrong timing errors alone decreased by 3.4 per 100 administrations (95% CI 0.01 to 6.7; p<0.05). EMS use was associated with an absolute decline in potentially serious MAEs by 2.4% (95% CI 0.8 to 3.9; p=0.003), a 56% reduction in the proportion of potentially serious MAEs. At baseline, 74.1% of administrations were non-compliant with ≥1 of 10 procedures and this rate did not significantly improve post-EMS. CONCLUSIONS: Implementation of EMS was associated with a modest, but significant, reduction in overall MAE rate, but halved the proportion of MAEs rated as potentially serious.


Subject(s)
Drug Administration Schedule , Hospitals, Teaching/organization & administration , Medication Errors , Medication Systems, Hospital , Pharmaceutical Preparations , Efficiency, Organizational , Humans , Medication Errors/prevention & control , Medication Errors/statistics & numerical data
2.
Cytokine ; 56(2): 192-9, 2011 Nov.
Article in English | MEDLINE | ID: mdl-21737300

ABSTRACT

Preeclampsia is a common disease of pregnancy characterised by maternal hypertension and proteinuria. Abnormal placentation in early pregnancy and abnormal cytokine and anti-angiogenic factor expression are thought to contribute to the clinical syndrome of endothelial dysfunction evident in the second half of gestation. The mechanisms underlying both the placental pathology and its translation to the maternal clinical syndrome are not fully understood. A model of preeclampsia manifest by clinically evident endothelial dysfunction (increased blood pressure and proteinuria) was induced by administration of low-dose TNF-α for 2weeks at mid-gestation in pregnant baboons (Papio hamadryas). Blood pressure was monitored continuously and remotely by intra-arterial radiotelemetry. Following TNF-α infusion, there was an increase in systolic and diastolic blood pressure and development of proteinuria in pregnant treated animals, but not in pregnant saline controls nor in non-pregnant TNF-α treated animals. The treated pregnant animals also developed elevated plasma soluble FMS-like tyrosine kinase-1 (sFLT-1) and increased placental mRNA expression of sFLT-1 and soluble endoglin (sEng). These results clearly demonstrate that the cytokine TNF-α can induce the clinical and biochemical features of human preeclampsia. The results identify a link between cytokines, placental dysfunction and endothelial dysfunction resulting in a loss of maternal blood pressure control.


Subject(s)
Disease Models, Animal , Pre-Eclampsia/chemically induced , Tumor Necrosis Factor-alpha/administration & dosage , Animals , Base Sequence , Blood Pressure , Blood Proteins/analysis , DNA Primers , Enzyme-Linked Immunosorbent Assay , Female , Papio , Placenta/metabolism , Pre-Eclampsia/physiopathology , Pregnancy , Proteinuria/physiopathology , RNA, Messenger/metabolism , Real-Time Polymerase Chain Reaction , Telemetry
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