ArticleHealth science reports2024
Improvement proposals and actions in medication error reports: Quality and strength: A cross-sectional study.
Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Medication errors involving parenteral nutrition preparations and concentrated electrolytes in a pediatric hospital: A qualitative analysis.JPEN. Journal of parenteral and enteral nutrition · 2026Article
- The Financial and Workforce Impact of Medication Errors in the Finnish Public Healthcare System: A Pilot Study.Health services insights · 2026Article
- Improvement proposals and actions in medication error reports: Quality and strength: A cross-sectional study.Health science reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.