Abstract QS27: Utilizing Statistical Process Control to Study the Progression of Institutional Situational Awareness Through Anonymous Incident Reporting
Notice bibliographique
Résumé
PURPOSE: The impetus for widespread focus on patient safety reached its apex in the early 1990s when the Institute of Medicine sent shockwaves with their report, To Err is Human. They estimated nearly 100,000 deaths occurred from preventable medical errors every year. Bagian and colleagues took the lessons learned from industries such as aviation and introduced them to healthcare. As a result, anonymous incident reporting (AIR) was implemented in Healthcare to foster a culture of safety. Pioneers like Sutcliffe and Singh took this a step further by studying factors like situational awareness (SA) and its role in creating High Reliability Organizations (HRO). The purpose of this project is to determine if the application of statistical process control (SPC) can be applied to anonymous incident reporting to study institutional situational awareness. METHODS: Our institution’s AIR protocol begins with any employee filing an anonymous online safety report. This report is assessed and directed to the appropriate manager by patient safety officers. An action aimed at systemic safety improvement is undertaken, and the feedback is shared at workgroup meetings. The Veterans Administration National Center for Patient Safety (NCPS) maintains a database of all AIR reports. All AIR reports from our institution from December 2012 to October 2016 were collected and trended. Critical events were tracked utilizing VASQIP’s Critical Incident Tracking Notification System (CITNs). VASQIP defines CITNs as: death in operating room (OR), death from hemorrhage within 24hours, incorrect surgery, retained surgical item, OR fire, and OR burn. Data was evaluated by month and by quarter for percent change and compared to observed critical events (CITNs). Events were trended as a statistical process control (SPC) chart and a logarithmic regression was performed for progression of AIRs per month. RESULTS: There was an exponential increase in total AIRs (1st mo-1, 6th mo-6, 12th mo-706, 18th mo-914, 24th mo-1156). The reporting rate peaked at 9 months (1425% increase from prior quarter). In contrast, the highest number of CITNs were observed early and significantly decreased over time (1st year-5, 2nd year-2, 3rd year-1, 4th year-1). The course of our AIR program began slowly, but as feedback to reporters increased, reporting and situational awareness increased exponentially. This result demonstrates the fruits of a successful AIR program in establishing situational awareness. CONCLUSIONS: SPC analysis can be applied to anonymous incident reporting to study the progression of institutional situational awareness. Application of our model can give other institutions a method to evaluate not only their AIR program but also their situational awareness. S. Kurapati: None. T. King: None.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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