ABSTRACT
Background: The ability to train an interprofessional (IP) geriatrics workforce to provide team-based care was challenged during the COVID-19 pandemic. We created an innovative virtual IP clinical geriatrics experience for health profession students and evaluated its impact on learner self-rated competence at IP practice and geriatrics evaluation and management skills (GEMS). Methods: 274 health profession students participated in fall 2020. Students completed pre-work including a Geriatrics 5Ms video and readings on IP teamwork, IP roles, and 5Ms-based IP blueprint for GEMS. In IP teams of 6-8, students reviewed a case of an older adult with geriatric syndromes undergoing a transition of care. They completed an IP team meeting virtually to develop a collaborative IP care plan using a worksheet guide. Then, they participated in a facultyled debriefing. Pre- and post-activity, students self-rated ability in four IP practice GEMS (Likert 1=poor, 5=excellent). Post activity, they completed retrospective pre-post Interprofessional Collaborative Competency Attainment Scale-Revised (ICCAS-R;20 items;Likert 1=poor, 5=excellent, 1 transitional item). We analyzed pre vs. post student ratings using unpaired t-tests. Results: 257 students completed surveys (135 nursing, 92 medical, 30 social work). Confidence in ability increased for all IP geriatric skills (Table 1). Across all ICCAS items, mean rating of ability for IP skills improved post-intervention (3.2 vs. 4.0, p<.001). For the transitional item, 84% of students rated their ability to collaborate interprofessionally as somewhat or much better after the activity. Conclusions: A virtual clinical IP geriatrics experience improved learner confidence in IP geriatrics skills and IP collaboration skills. This activity is a promising strategy for advancing interprofessional geriatrics workforce training during the pandemic. (Table Presented).
ABSTRACT
We report on-chip isolation of genomic Severe Acute Respiratory Syndrome-related Coronavirus 2 (SARSCoV-2) RNA via Immiscible Filtration Assisted by Surface Tension (IFAST). Combined with colorimetric Reverse Transcription Loop Mediated Isothermal Amplification (RT-LAMP), the approach obtained a sensitivity of 810 copies mL-1 of SARS-CoV-2 genomic RNA. The integration of on-chip RT-LAMP with IFAST RNA extraction has the potential to be a simple platform for Covid-19 diagnostics in resource-poor settings. © 2020 CBMS-0001