ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018
Toward Reporting Support and Quality Assessment for Learning from Reporting: A Necessary Data Elements Model for Narrative Medication Error Reports.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Article
- Nurse-Led Ambient AI Scribe for Patient Safety Incident Investigation Reports (Project NARRATE): Retrospective Pre-Post Comparative Document-Quality Study.JMIR nursing · 2026Article
- Structuring medication safety narratives: development and evaluation of the medication-related incident reports annotation scheme.Frontiers in digital health · 2026Article
- A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety.NPJ digital medicine · 2025Review
- Leveraging National Claims and Hospital Big Data: Cohort Study on a Statin-Drug Interaction Use Case.JMIR medical informatics · 2021Article
- A cross-sectional observational study of missed nursing care in hospitals in China.Journal of nursing management · 2020Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
To understand and prevent medication errors, spontaneous reporting systems are developed and implemented to aggregate medication error reports for root cause analysis (RCA). Despite of the rich relational information in medication error reports, low quality, especially incompleteness, impedes effective utilization of the reports for analyzing and learning. The lack of a completeness evaluation tool for narrative medication error reports is a barrier to improving the quality of reports. Moreover, no effective mechanisms are integrated in reporting systems for knowledge support upon reporting. In this study, we developed a minimal data model which defines necessary elements in narrative medication error reports and utilized it to evaluate patient safety organization (PSO) medication reports. This study holds promise in bridging the gap between the low quality of narrative reports and the needs of analyzing and learning from medication errors.
Indexed as
Identifiers
30815204PMC6371327What 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.