Evaluating dynamic patterns in mortality before and after reconfiguration of the Danish emergency healthcare system.

BACKGROUND: This study explored changes in short-term mortality during a national reconfiguration of emergency care starting in 2007. METHODS: Unplanned hospital contacts at emergency departments across Denmark from 2007 to 2016. The reconfiguration was a natural experiment, resulting in individual timelines for each hospital. The outcome was in-hospital and 30-day mortality. RESULTS: Individual patient-level data included 9,745,603 unplanned hospital contacts from 2007 to 2016 at 20 hospitals with emergency departments. We observed a sharp downwards shift in in-hospital mortality and 30-day mortality in three hospitals in relation to the reconfiguration. CONCLUSION: This nationwide study identified three hospitals where the reconfiguration was closely associated with reduced in-hospital and 30-day mortality. In contrast, no major effects were identified for the remaining hospitals.

Identifying high-risk medications and error types in Danish patient safety database using disproportionality analysis.

BACKGROUND: Medication error (ME) surveillance in Danish healthcare relies on the mandatory national incident reporting system, the Danish Patient Safety Database (DPSD). Individual case reviews and descriptive statistics with frequency counts are the most often used approaches when analyzing MEs in incident reporting systems, including the DPSD. However, incident reporting systems often generate a large number of reports and may suffer from underreporting; consequently, additional approaches are needed to overcome these challenges. Disproportionality analysis (DPA) is a statistical tool used for signal detection of adverse drug reactions in pharmacovigilance reports, but the evidence for using DPA on ME analysis in safety reporting systems is limited. OBJECTIVES: We aimed to test the feasibility of DPA by analysing harmful MEs reported to DPSD 2014-2018. METHODS: We utilized proportional reporting ratios (PRR) to identify signals of diproportionality. RESULTS: We identified well-known high-risk medicines, including anticoagulants, opioids, insulins, antiepileptic, and antipsychotic drugs, and their association with several ME types and stages in a medication process. CONCLUSION: DPA might be suggested as an additional tool for screening MEs and identifying priority areas for further investigation in safety reporting systems.

Medication incidents and medication errors in Danish healthcare: A descriptive study based on medication incident reports from the Danish Patient Safety Database, 2014-2018.

In Denmark, reporting of safety incidents to the nationwide Danish Patient Safety Database (DPSD) is mandatory. Medication incident reports constitute the largest category of safety reports. We aimed to provide numbers and characteristics of medication incidents and MEs reported to DPSD focusing on medication, their severity and the trends therein. This is a cross-sectional study of medication incident reports for individuals ≥18, submitted to DPSD in 2014-2018. We performed analyses on the (1) medication incident and (2) ME levels. Out of 479 814 incident reports, 61.18% (n = 293 536) were related to individuals ≥70 and 44.6% (n = 213 974) to nursing homes. Most of the events were harmless (70.87%, n = 340 047) and 0.8% (n = 3859) had caused severe harm or death. ME-analysis (n = 444 555) revealed that paracetamol and furosemide were the most frequently reported drugs. The most common drugs for severe and fatal MEs were warfarin, methotrexate, potassium chloride, paracetamol and morphine. When the reporting ratio for all MEs and harmful MEs was considered, other drugs than the most frequently reported ones were found to be associated with harm. We found a large proportion of harmless medication incident reports and reports from community healthcare services and identified high-risk medicines associated with harm.

The Impact of Age on Predictive Performance of National Early Warning Score at Arrival to Emergency Departments: Development and External Validation.

STUDY OBJECTIVE: To investigate how age affects the predictive performance of the National Early Warning Score (NEWS) at arrival to the emergency department (ED) regarding inhospital mortality and intensive care admission. METHODS: International multicenter retrospective cohorts from 2 Danish and 3 Dutch ED. Development cohort: 14,809 Danish patients aged ≥18 years with at least systolic blood pressure or pulse measured from the Danish Multicenter Cohort. External validation cohort: 50,448 Dutch patients aged ≥18 years with all vital signs measured from the Netherlands Emergency Department Evaluation Database (NEED). Multivariable logistic regression was used for model building. Performance was evaluated overall and within age categories: 18 to 64 years, 65 to 80 years, and more than 80 years. RESULTS: In the Danish Multicenter Cohort, a total of 2.5% died inhospital, and 2.8% were admitted to the ICU, compared with 2.8% and 1.6%, respectively, in the NEED. Age did not add information for the prediction of intensive care admission but was the strongest predictor for inhospital mortality. For NEWS alone, severe underestimation of risk was observed for persons above 80 while overall Area Under Receiver Operating Characteristic (AUROC) was 0.82 (confidence interval [CI] 0.80 to 0.84) in the Danish Multicenter Cohort versus 0.75 (CI 0.75 to 0.77) in the NEED. When combining NEWS with age, underestimation of risks was eliminated for persons above 80, and overall AUROC increased significantly to 0.86 (CI 0.85 to 0.88) in the Danish Multicenter Cohort versus 0.82 (CI 0.81 to 0.83) in the NEED. CONCLUSION: Combining NEWS with age improved the prediction performance regarding inhospital mortality, mostly for persons aged above 80, and can potentially improve decision policies at arrival to EDs.

The efficacy of early initiated, supervised, progressive resistance training compared to unsupervised, home-based exercise after unicompartmental knee arthroplasty: a single-blinded randomized controlled trial.

OBJECTIVE: To examine if supervised progressive resistance training was superior to home-based exercise in rehabilitation after unicompartmental knee arthroplasty. DESIGN: Single blinded, randomized clinical trial. SETTING: Surgery, progressive resistance training and testing was carried out at Aarhus University Hospital and home-based exercise was carried out in the home of the patient. SUBJECTS: Fifty five patients were randomized to either progressive resistance training or home-based exercise. INTERVENTION: Patients were randomized to either progressive resistance training (home based exercise five days/week and progressive resistance training two days/week) or control group (home based exercise seven days/week). MAIN MEASURES: Preoperative assessment, 10-week (primary endpoint) and one-year follow-up were performed for leg extension power, spatiotemporal gait parameters and knee injury and osteoarthritis outcome score (KOOS). RESULTS: Forty patients (73%) completed 1-year follow-up. Patients in the progressive resistance training group participated in average 11 of 16 training sessions. Leg extension power increased from baseline to 10-week follow-up in progressive resistance training group (progressive resistance training: 0.28 W/kg, P= 0.01, control group: 0.01 W/kg, P=0.93) with no between-group difference. Walking speed and KOOS scores increased from baseline to 10-week follow-up in both groups with no between-group difference (six minutes walk test P=0.63, KOOS P>0.29). CONCLUSIONS: Progressive resistance training two days/week combined with home based exercise five days/week was not superior to home based exercise seven days/week in improving leg extension power of the operated leg.