Factors associated with interprofessional engagement in debriefing following pediatric simulation-based team training.

Simulation offers a high fidelity modality to deliver and study team-based interprofessional education. Debriefing the following simulated scenarios is a critical component of this training. Little data exist to inform best practices to optimize interprofessional engagement during debriefing. This pilot study analyzed interprofessional debriefing events following 20 pediatric simulation-based team trainings to identify associations between modifiable factors and learner engagement. Reviewers observed a total of 236 learners, using a previously published tool to assess learner engagement. Data related to the scenario, debriefing, learners, and facilitators were collected. Spearman's correlation was used to analyze the association between factors of interest and average learner engagement scores for each debriefing event. Mean engagement did not differ between physicians and nurses, but was lower for other professionals. Average learner engagement was inversely related to learner group size, but not to the proportion of learners in each profession. Oral participation differed significantly between professions for both learners and co-facilitators, with physicians speaking more in both groups. Students of all professions had lower engagement and spoke less frequently. This study identifies several modifiable factors, including total group size, learner level, and facilitator behavior that were associated with interprofessional engagement during debriefing following simulation-based team training.

Transitional Care in the Patient-Centered Medical Home: Lessons in Adaptation.

Older adults with multiple chronic conditions (MCCs) typically have risk factors (e.g., functional deficits, social barriers) that complicate the management of their healthcare, often with devastating human and economic consequences. Finding new ways to provide patient-centered care to community-based older adults with MCCs is essential. Two current models of care, the Patient-Centered Medical Home (PCMH) and the Transitional Care Model (TCM), have demonstrated improvements in the outcomes of high-risk older adults at different points on the chronic illness trajectory. However, neither care management approach has optimally engaged vulnerable patients to address needs throughout both acute and more stable transitions in health. In this article, we summarize the development of the PCMH plus TCM (hereafter, PCMH + TCM), an innovative approach to care, and the experience of the providers involved in testing the feasibility of implementing the PCMH + TCM. Using content analyses to code open-ended survey responses from transitional care nurses and PCMH clinical leaders', two major themes, collaboration and communication, emerged as critical to the process of implementing the PCMH + TCM. Barriers and facilitators to implementing the PCMH + TCM are presented. Findings support that the TCM can be adapted and integrated into the PCMH with meticulous planning and implementation.

Detection of volatile biomarkers of therapeutic radiation in breath.

Breath testing could provide a rational tool for radiation biodosimetry because radiation causes distinct stress-producing molecular damage, notably an increased production of reactive oxygen species. The resulting oxidative stress accelerates lipid peroxidation of polyunsaturated fatty acids, liberating alkanes and alkane metabolites that are excreted in the breath as volatile organic compounds (VOCs). Breath tests were performed before and after radiation therapy over five days in 31 subjects receiving daily fractionated doses: 180-400 cGy d(-1) standard radiotherapy (n = 26), or 700-1200 cGy d(-1) high-dose stereotactic body radiotherapy (n = 5). Breath VOCs were assayed using comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry. Multiple Monte Carlo simulations identified approximately 50 VOCs as greater-than-chance biomarkers of radiation on all five days of the study. A consistent subset of 15 VOCs was observed at all time points. A radiation response function was built by combining these biomarkers and the resulting dose-effect curve was significantly elevated at all exposures ⩾1.8 Gy. Cross-validated binary algorithms identified radiation exposures ⩾1.8 Gy with 99% accuracy, and ⩾5 Gy with 78% accuracy. In this proof of principal study of breath VOCs, we built a preliminary radiation response function based on 15 VOCs that appears to identify exposure to localized doses of 1.8 Gy and higher. VOC breath testing could provide a new tool for rapid and non-invasive radiation biodosimetry.