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Pract Radiat Oncol ; 9(4): e407-e416, 2019.
Article in English | MEDLINE | ID: mdl-30826480

ABSTRACT

PURPOSE: Incident learning systems (ILSs) require substantial time and effort to maintain, risking staff burnout and ILS disuse. Herein, we assess the durability of ILS-associated safety culture improvements and ILS engagement at 5 years. METHODS AND MATERIALS: A validated survey assessing safety culture was administered to all staff of an academic radiation oncology department before starting ILS and annually thereafter for 5 years. The survey consists of 70 questions assessing key cultural domains, overall patient safety grade, and barriers to incident reporting. A χ2 test was used to compare baseline scores before starting the ILS (pre-ILS) with the aggregate 5 years during which ILS was in use (with ILS). ILS engagement was measured by the self-reported number of ILS entries submitted in the previous 12 months. RESULTS: The survey response rate was ≥68% each year (range, 68%-80%). High-volume event reporting was sustained (4673 reports; average of 0.9 ILS entries per treatment course). ILS engagement increased, with 43% of respondents submitting reports during the 12 months pre-ILS compared with 64% with ILS in use (P < .001). Significant improvements (pre- vs. with-ILS) were observed in the cultural domains of patient safety perceptions (25% vs 39%; P < .03), and responsibility and self-efficacy (43% vs 60%; P < .01). The overall patient safety grade of very good or excellent significantly increased (69% vs 85%; P < .01). Significant reductions were seen in the following barriers to error reporting: embarrassment in front of colleagues, getting colleagues into trouble, and effect on department reputation. CONCLUSIONS: Comprehensive incident learning was sustained over 5 years and is associated with significant durable improvements in metrics of patient safety culture.


Subject(s)
Patient Safety/statistics & numerical data , Risk Management/methods , Safety Management/statistics & numerical data , Humans , Learning , Time Factors
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