The Michigan Plan for Appropriate Tailored Healthcare in Pregnancy Prenatal Care Recommendations.

OBJECTIVE: To describe MiPATH (the Michigan Plan for Appropriate Tailored Healthcare in pregnancy) panel process and key recommendations for prenatal care delivery. METHODS: We conducted an appropriateness study using the RAND Corporation and University of California Los Angeles Appropriateness Method, a modified e-Delphi process, to develop MiPATH recommendations using sequential steps: 1) definition and scope of key terms, 2) literature review and data synthesis, 3) case scenario development, 4) panel selection and scenario revisions, and 5) two rounds of panel appropriateness ratings with deliberation. Recommendations were developed for average-risk pregnant individuals (eg, individuals not requiring care by maternal-fetal medicine specialists). Because prenatal services (eg, laboratory tests, vaccinations) have robust evidence, panelists considered only how services are delivered (eg, visit frequency, telemedicine). RESULTS: The appropriateness of key aspects of prenatal care delivery across individuals with and without common medical and pregnancy complications, as well as social and structural determinants of health, was determined by the panel. Panelists agreed that a risk assessment for medical, social, and structural determinants of health should be completed as soon as individuals present for care. Additionally, the panel provided recommendations for: 1) prenatal visit schedules (care initiation, visit timing and frequency, routine pregnancy assessments), 2) integration of telemedicine (virtual visits and home devices), and 3) care individualization. Panelists recognized significant gaps in existing evidence and the need for policy changes to support equitable care with changing practices. CONCLUSION: The MiPATH recommendations offer more flexible prenatal care delivery for average-risk individuals.

Multicenter Advanced Pediatric Otolaryngology Fellowship Prep Surgical Simulation Course with 3D Printed High-Fidelity Models.

OBJECTIVE: To assess the effect of 3-dimensional (3D)-printed surgical simulators used in an advanced pediatric otolaryngology fellowship preparatory course on trainee education. STUDY DESIGN: Quasi-experimental pre/postsurvey. SETTING: Multicenter collaborative course conducted at a contract research organization prior to a national conference. SUBJECTS AND METHODS: A 5-station, 7-simulator prep course was piloted for 9 pediatric otolaryngology fellows and 17 otolaryngology senior residents, with simulators for airway graft carving, microtia ear framework carving, and cleft lip/palate repair. Prior to the course, trainees were provided educational materials electronically along with presurveys rating confidence, expertise, and attitude around surgical simulators. In October 2018, surgeons engaged in simulation stations with direction from 2 attending faculty per station, then completed postsurveys for each simulator. RESULTS: Statistically significant increases (P < .05) in self-reported confidence (average, 53%; range, 18%-80%) and expertise (average, 68%; range, 9%-95%) were seen across all simulators, corresponding to medium to large effect sizes as measured by Cohen's d statistic (0.41-1.71). Positive attitudes around 3D printing in surgical education also demonstrated statistically significant increases (average, 10%; range, 8%-13%). Trainees commented positively on gaining such broad exposure, although consistently indicated a preference for more practice time during the course. CONCLUSION: We demonstrate the benefit of high-fidelity, 3D-printed simulators in exposing trainees to advanced procedures, allowing them hands-on practice in a zero-risk environment. In the future, we hope to refine this course design, develop standardized tools to assess their educational value, and explore opportunities for integration into use in milestone assessment and accreditation.

A multidisciplinary international collaborative implementing low cost, high fidelity 3D printed airway models to enhance Ethiopian anesthesia resident emergency cricothyroidotomy skills.

BACKGROUND: Similar to other sub-Saharan countries, Ethiopia suffers from a severe shortage of adequately trained health professionals. Academic partnerships can support sustainable training programs and build capacity for low-resource settings. 3D modeling and simulation-based training provide necessary tools, especially for rarely-encountered clinical situations, such as needle cricothyroidotomy. METHODS: Departments of Anesthesiology, Otolaryngology, and Learning Health Sciences collaborated to develop a low-cost, high-fidelity simulator and Cricothryoidotomy Skills Maintenance Program (CSMP). Twelve anesthesia residents at St. Paul's Hospital Medical Millennium College in Addis Ababa, Ethiopia participated in CSMP. The program consisted of a didactic session with presentation and demonstration and an immersive CICO scenario. Program evaluation was performed using pre/post-training knowledge and 2 procedural performance assessments-the CSMP Global Rating Scale and the Checklist. With consent, performances were videotaped and rated independently by 3 University of Michigan faculty. RESULTS: Improvements were identified in all areas, including residents' knowledge, measured by mean summed test scores (Mpre = 3.31,Mpost = 4.46,p = 0.003), time to perform cricothyroidotomy (Mpre = 96.64,Mpost = 72.82,p = 0.12), residents' performance quality, measured by overall mean Global ratings, (Mpre = 0.20; Mpost = 0.70) with improvements identified at the item-level, p = 0.001 with moderate-large effect sizes, and residents' ability to complete tasks, measured by mean Checklist ratings (Mpre = 0.51,Mpost = 0.90, with item-level improvements observed, p ≤ 0.01, with small-large effect sizes. Residents' self-reported confidence also improved (Mpre = 1.69, Mpost = 3.08,p = 0.001). CONCLUSION: Our work shows that cricothyroidotomy skills taught to anesthesia residents at SPHMMC with a 3D printed laryngotracheal model improves knowledge, skills, and confidence. The creation of a low-cost, high-fidelity simulator and a CSMP has the potential to impact patient care and safety world-wide.