ReviewCureus2024
An Overview of Nursing Errors Using the Taxonomy of Error, Root Cause Analysis, and Practice-Responsibility Research Tool.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- A retrospective descriptive study on the early identification of near-miss events in nursing.BMC health services research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nursing errors significantly impact patient safety and care quality, necessitating effective error recognition and analysis techniques. The Taxonomy of Error, Root Cause Analysis, and Practice-Responsibility (TERCAP) tool aims to systematically classify and address nursing errors, though its application and usefulness remain uncertain. This systematic review provides an overview of nursing errors using the TERCAP instrument, evaluating its applicability, strengths, and opportunities for improvement. A comprehensive literature search was conducted across databases such as PubMed, CINAHL, and Scopus to identify studies employing the TERCAP tool for nursing error analysis. Inclusion criteria encompassed peer-reviewed articles, studies with quantitative or qualitative data, and English-language publications. Data were extracted and analyzed to assess the tool's validity, reliability, impact on patient outcomes, and integration into clinical practice. The review identified a limited number of studies utilizing the TERCAP instrument, indicating its early stage of implementation. Findings suggest that the TERCAP tool provides a structured approach to error categorization and root cause analysis, potentially benefiting patient safety. However, challenges such as inconsistency in tool use, integration issues with electronic health records, and the need for further validation were noted. Additionally, nurses' perceptions of the tool and training needs emerged as crucial factors influencing its effectiveness. The TERCAP tool shows promise in improving nursing error reporting and analysis. Nonetheless, further research is essential to confirm its reliability, optimize its integration into clinical workflows, and understand its long-term impact on patient outcomes and safety culture. Addressing these gaps will be crucial in harnessing the TERCAP tool's full potential to reduce nursing errors and enhance healthcare quality.
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.