ABSTRACT
BACKGROUND: The rising incidence of immune-mediated inflammatory diseases (IMID) requires innovative management strategies, including effective vaccination. We aimed to assess the impact of an electronic medical record (EMR)-integrated vaccination tool on vaccination coverage among patients with inflammatory bowel diseases (IBD), rheumatological and dermatological conditions. METHODS: A prospective observational study compared vaccination coverage before (2018) and after (2021) implementing the module. Vaccination data for influenza, pneumococcus, hepatitis B and tetanus, and potential predictors were collected from 1430 IMID patients (44.9% male, median age (interquartile range [IQR]) 54 (40-66) years, 789 with IBD, 604 with rheumatological and 37 with dermatological conditions). Data were analysed using McNemar, chi-square tests and multinominal logistic regression. RESULTS: Significant increases in pneumococcus (56.6% to 73.1%, p < .001) and hepatitis B vaccination (62.2% to 75.9%, p < .001) were observed. Influenza vaccination rates increased among IBD (76.2% to 80.5%, p = .006) but remained stable overall (73.1% to 73.2%, p = 1.000). Tetanus vaccination rates decreased (71.5% to 55.0%, p < .001). The proportion of fully vaccinated patients (against influenza in the past year for patients >50 years old and/or under immunosuppressive therapy, against pneumococcus in the past 5 years for patients >65 years old and/or under immunosuppressive therapy and additionally against hepatitis B for IBD patients) rose from 41.3% to 54.8% (p < .001 all using McNemar). Factors associated with vaccinations included age, immunosuppressive therapy and education level. CONCLUSIONS: Increased vaccination coverage was measured after implementing the vaccination tool. The COVID19 pandemic and the 2018 measurement might have increased vaccination awareness. Education of patients and healthcare professionals remains crucial.
ABSTRACT
BACKGROUND: Clinical decision support systems are implemented in many hospitals to prevent medication errors and associated harm. They are however associated with a high burden of false positive alerts and alert fatigue. The aim of this study was to evaluate a drug-drug interaction (DDI) clinical decision support system in terms of its performance, uptake and user satisfaction and to identify barriers and opportunities for improvement. METHODS: A quantitative evaluation and end-user survey were performed in a large teaching hospital. First, very severe DDI alerts generated between 2019 and 2021 were evaluated retrospectively. Data collection comprised alert burden, override rates, the number of alert overrides reviewed by pharmacists and the resulting pharmacist recommendations as well as their acceptance rate. Second, an e-survey was carried out among prescribers to assess satisfaction, usefulness and relevance of DDI alerts as well as reasons for overriding. RESULTS: A total of 38,409 very severe DDI alerts were generated, of which 88.2% were overridden by the prescriber. In 3.2% of reviewed overrides, a recommendation by the pharmacist was provided, of which 79.2% was accepted. False positive alerts were caused by a too broad screening interval and lack of incorporation of patient-specific characteristics, such as QTc values. Co-prescribing of a non-vitamin K oral anticoagulant and a low molecular weight heparin accounted for 49.8% of alerts, of which 92.2% were overridden. In 88 (1.1%) of these overridden alerts, concurrent therapy was still present. Despite the high override rate, the e-survey revealed that the DDI clinical decision support system was found useful by prescribers. CONCLUSIONS: Identified barriers were the lack of DDI-specific screening intervals and inclusion of patient-specific characteristics, both leading to a high number of false positive alerts and risk for alert fatigue. Despite these barriers, the added value of the DDI clinical decision support system was recognized by prescribers. Hence, integration of DDI-specific screening intervals and patient-specific characteristics is warranted to improve the performance of the DDI software.
