Improving Asthma Action Plan Completion Rates across Five Divisions in an Academic Children's Hospital.

Introduction: Asthma is the most common chronic disease among children. Asthma Action Plans (AAPs) enable asthma self-management tailored to each patient and should be updated annually. At our institution, providers face challenges in creating reliable processes to consistently complete AAPs for patients with asthma. This project's aim was to increase the percentage of patients across five hospital divisions who have an up-to-date AAP from 80% in May 2021 to 85% by October 1, 2021. Methods: We launched a quality improvement (QI) project using the Model for Improvement, focusing on improving AAP completion rates across five hospital divisions providing ambulatory care for asthma patients. The divisions (Adolescent/Young Adult Medicine, Allergy, Pulmonary, and two Primary Care sites) participated in the QI process using tools to understand the problem context. They implemented a cross-divisional AAP completion competition from June to October 2021. Each month during Action Periods, divisions trialed their interventions using Plan-Do-Study-Act cycles. We held monthly Learning Sessions for divisions to collaborate on successful intervention strategies. Results: Statistical process control chart analysis demonstrated that the overall AAP completion rate increased from a baseline of 80% to 87% with the initiation of the competition. All divisions showed improvement in AAP completion rates during the active intervention period, but sustainment varied. Conclusions: The cross-divisional competition motivated five divisions to improve processes to increase AAP completion rates. This approach effectively fostered engagement and idea sharing to boost performance, and may be considered for other QI projects.

Multi-Institutional Stereotactic Body Radiation Therapy Incident Learning: Evaluation of Safety Barriers Using a Human Factors Analysis and Classification System.

OBJECTIVES: Stereotactic body radiation therapy (SBRT) can improve therapeutic ratios and patient convenience, but delivering higher doses per fraction increases the potential for patient harm. Incident learning systems (ILSs) are being increasingly adopted in radiation oncology to analyze reported events. This study used an ILS coupled with a Human Factor Analysis and Classification System (HFACS) and barriers management to investigate the origin and detection of SBRT events and to elucidate how safeguards can fail allowing errors to propagate through the treatment process. METHODS: Reported SBRT events were reviewed using an in-house ILS at 4 institutions over 2014-2019. Each institution used a customized care path describing their SBRT processes, including designated safeguards to prevent error propagation. Incidents were assigned a severity score based on the American Association of Physicists in Medicine Task Group Report 275. An HFACS system analyzed failing safeguards. RESULTS: One hundred sixty events were analyzed with 106 near misses (66.2%) and 54 incidents (33.8%). Fifty incidents were designated as low severity, with 4 considered medium severity. Incidents most often originated in the treatment planning stage (38.1%) and were caught during the pretreatment review and verification stage (37.5%) and treatment delivery stage (31.2%). An HFACS revealed that safeguard failures were attributed to human error (95.2%), routine violation (4.2%), and exceptional violation (0.5%) and driven by personnel factors 32.1% of the time, and operator condition also 32.1% of the time. CONCLUSIONS: Improving communication and documentation, reducing time pressures, distractions, and high workload should guide proposed improvements to safeguards in radiation oncology.