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1.
BMJ Open Qual ; 8(2): e000593, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31206065

RESUMO

Near-miss events represent an opportunity to identify and correct errors that jeopardise patient safety. The MRI environment poses potential safety threats and is frequently associated with near misses or adverse events related to improper safety screening for presence of cardiac pacemakers and other potential contraindications. At our institution, MRI safety screening lacked a formalised structure and standardisation; the process relied on a single-step safety screening process. As a result, we observed a significant number of near misses associated with improper MRI screening that resulted in 'close calls' in patients with incompatible metals implants. The purpose of this project was to use a quality improvement approach to analyse the near-miss pattern and create a multistep intervention to decrease the number of near misses associated with MRI screening and to ultimately decrease the potential for patient harm. Using the Plan-Do-Study-Act model, we decreased the number of MRI near misses from 22 to zero near misses in 1 year after implementation. The project demonstrates successful transformation of near misses to a never event: a reportable event that should never happen. The project also demonstrates the importance in targeting and prioritising a pattern of near misses, which are unplanned events that do not result in injury but had great potential to do so.


Assuntos
Educação/métodos , Imageamento por Ressonância Magnética/normas , Near Miss/classificação , Educação/estatística & dados numéricos , Humanos , Imageamento por Ressonância Magnética/métodos , Imageamento por Ressonância Magnética/estatística & dados numéricos , Near Miss/estatística & dados numéricos , Melhoria de Qualidade , Gestão de Riscos/métodos
2.
Acad Emerg Med ; 26(6): 670-679, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-30859666

RESUMO

OBJECTIVES: An adverse event (AE) is a physical harm experienced by a patient due to health care, requiring intervention. Describing and categorizing AEs is important for quality and safety assessment and identifying areas for improvement. Safety science suggests that improvement efforts should focus on preventing and mitigating harm rather than on error, which is commonplace but infrequently leads to AEs. Most taxonomies fail to describe harm experienced by patients (e.g., hypoxia, hemorrhage, anaphylaxis), focusing instead on errors, and use categorizations that are too broad to be useful (e.g., "communication error"). We set out to create a patient-centered, emergency department (ED)-specific framework for describing AEs and near misses to advance quality and safety in the acute care setting. METHODS: We performed a critical review of existing taxonomies of harm, evaluating their applicability to the ED. We identified and adopted a classification framework and developed a taxonomy using an iterative process categorizing approximately 600 previously identified AEs and near misses. We reviewed this taxonomy with collaborators at four medical centers, receiving feedback and providing clarification. We then disseminated a set of representative scenarios for these safety experts to categorize independently using the taxonomy. We calculated interrater reliability and performance compared to our criterion standard. RESULTS: Our search identified candidate taxonomies for detailed review. We selected the Adventist Health Systems AE taxonomy and modified this for use in the ED, adopting a framework of categories, subcategories, and up to three modifiers to further describe events. On testing, overall reviewer agreement with the criterion standard was 92% at the category level and 88% at the subcategory level. Three of the four raters concurred in 55 of 59 scenarios (93%) and all four concurred in 46 of 59 scenarios (78%). At the subcategory level, there was complete agreement in 40 of 59 (68%) scenarios and majority agreement in 55 of 59 instances (93%). Performance of individual raters ranged from very good (88%, 52/59) to near perfect (98%, 58/59) at the main category level. CONCLUSIONS: We developed a taxonomy of AEs and near misses for the ED, modified from an existing framework. Testing of the tool with minimal training yielded high performance and good inter-rater reliability. This taxonomy can be adapted and modified by EDs seeking to enhance their quality and safety reviews and characterize harm occurring in their EDs for quality improvement purposes.


Assuntos
Serviço Hospitalar de Emergência/normas , Erros Médicos/classificação , Near Miss/classificação , Gestão de Riscos/métodos , Humanos , Melhoria de Qualidade , Reprodutibilidade dos Testes
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