Improvement proposals and actions in medication error reports: Quality and strength: A cross-sectional study.

Background and Aims: Medication errors (MEs) are a significant source of preventable harm in patient care. Voluntary incident reporting and ME reporting systems are essential for managing medication safety. Analyzing aggregated ME reports instead of individual reports can reveal organizational risks. Organizational culture influences reporting activity and the effectiveness of safety improvements depends on their system-focus. This study uses aggregated ME reports to investigate the ME management process and reporting culture in medication safety. It aims to create a hierarchy for ME improvement actions and analyze their strength and management flow in aggregated reports. Methods: A retrospective, cross-sectional study was conducted to review improvement proposals and actions of ME reports in a Finnish tertiary hospital in 2017-2021. The improvement proposals and actions were categorized into strength classes during three stages: reporter proposals, manager proposals, and documented actions. The report management flow was analyzed. Descriptive statistics were used to describe the characteristics and the chi-squared test for categorical variables in the statistical analysis. Results: A new strength classification hierarchy was created with three classes and corresponding numerical values: "strong (3)," "medium (2)," and "weak (1)" Additionally, categories for "no action (0)" and "vague (0)" were included. Out of 5463 ME reports analyzed, improvement proposals and actions were predominantly weak, ranging from 23.4% to 54.2% across different stages of the management process. A significant proportion had no action included (20.5-49.1%) or were vague (4.2-20.6%). Conclusion: Analyzing the strength of improvement proposals and actions in aggregated ME reports provides new insights into reporting culture and the ME management. The new combined strength classification hierarchy is a suitable tool for this analysis.

Enhanced Free-Text Search for Aggregated Medication Error Report Analysis and Risk Detection.

OBJECTIVES: Detecting medication errors (MEs) and learning from them are the key elements of medication safety management in health care. While the aggregation of the data and learning across the ME reports could help detect and manage organizational risks, the inconsistent and partly missing structural data complicate the analysis. The objective of this study was to examine whether an analysis of free-text data of aggregated ME reports could contribute to the detection of organizational risks. METHODS: A retrospective, cross-sectional analysis of ME reports from a patient safety incident reporting system in a tertiary hospital 2017-2021. Clustering of characteristics and variables of ME reports with an enhanced free-text search of the 10 most frequent active substances (TOP10) related to ME reports using Microsoft Excel. Validity analysis of the four most frequent active substances of the search results (TOP4). Evaluation of the possible impact of the enhanced free-text search method on ME report analysis and risk detection. RESULTS: The enhanced free-text search increased significantly the number of relevant ME reports of TOP10 active substances from 698 reports to 1578 reports. The validity of the enhanced free-text search results in TOP4 active substances was more than 74%. The enhanced free-text search revealed also new ME findings. CONCLUSIONS: Enhanced free-text search can contribute to the aggregate analysis of clustered ME reports and to the improvement of ME risk detection. The enhanced free-text search method enables more comprehensive analysis of the free-text data with commonly available software and provides new insights into medication safety improvement.

Evaluation of Global trigger tool as a medication safety tool for adverse drug event detection-a cross-sectional study in a tertiary hospital.

The objective of this study is to describe and analyze adverse drug events (ADE) identified using the Global trigger tool (GTT) in a Finnish tertiary hospital during a 5-year period and also to evaluate whether the medication module of the GTT is a useful tool for ADE detection and management or if modification of the medication module is needed. A cross-sectional study of retrospective record review in a 450-bed tertiary hospital in Finland. Ten randomly selected patients from electronic medical records were reviewed bimonthly from 2017 to 2021. The GTT team reviewed a total of 834 records with modified GTT method, which includes the evaluation of possible polypharmacy, National Early Warning Score (NEWS), highest nursing intensity raw score (NI), and pain triggers. The data set contained 366 records with triggers in medication module and 601 records with the polypharmacy trigger that were analyzed in this study. With the GTT, a total of 53 ADEs were detected in the 834 medical records, which corresponds to 13 ADEs/1000 patient-days and 6% of the patients. Altogether, 44% of the patients had at least one trigger found with the GTT medication module. As the number of medication module triggers increased per patient, it was more likely that the patient had also experienced an ADE. The number of triggers found with the GTT medication module in patients' records seems to correlate with the risk of ADEs. Modification of the GTT could provide even more reliable data for ADE prevention.