Background: To create meaningful quality improvement (QI) curricula for graduate medical education (GME) trainees, institutions strive to improve coordination of QI curricula with hospital improvement infrastructure.
Objective: We created a curriculum to teach residents about QI and value-based medicine (VBM) and assessed curricular effectiveness.
Methods: We designed a 2-week required curriculum for internal medicine residents at a large academic program. After participating in basic skills workshops, trainees developed QI/VBM project ideas with faculty and nonclinical support and pitched them to hospital leaders at the end of the rotation. Pre-post and 1-year follow-up surveys were conducted for residents to self-assess knowledge, attitudes, and skills, participation in QI/VBM projects, and career intentions. We tracked QI/VBM project implementation.
Results: In the first 2 years (2017-2018), 92 trainees participated, and 71 of 76 (93%) recommended the curriculum. Surveys (76 of 92, 83%) show improvement in our learning objectives (12%-60% pre to 62%-97% post; < .001 for all; Cohen's d effect size 0.7-1.2), which are sustained at 1-year follow-up (57%-95%; < .01). Four of 19 projects have been implemented. At 1 year, 95% of residents had presented a quality/value poster presentation, 44% were involved in QI/VBM beyond required rotations, and 26% plan to pursue careers focused on improving quality, safety, or value.
Conclusions: Our project-based curriculum culminating in a project pitch to hospital leadership was acceptable to GME trainees, improved self-assessed skills sustained at 1 year, and resulted in successfully implemented QI/VBM projects.
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http://dx.doi.org/10.4300/JGME-D-19-00421.1 | DOI Listing |
Prev Med
January 2025
Center for Health Policy and Health Services Research, Henry Ford Health, One Ford Place, Suite 5E, Detroit, MI 48202, USA. Electronic address:
Background: National mandates require screening for and addressing health-related social needs (HRSNs) in healthcare settings. However, differences in HRSN screening process (i.e.
View Article and Find Full Text PDFJ Am Med Dir Assoc
November 2024
Minnesota Department of Health, Saint Paul, MN, USA.
Objectives: To identify different approaches (unique domains) and indicators to evaluate quality in assisted living communities in the United States.
Design: Scoping review supplemented with key informant and technical panel guidance.
Setting And Participants: Assisted living settings and residents.
Prev Med
December 2024
Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America; SC SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America; USC Big Data Health Science Center, University of South Carolina, Columbia, SC, United States of America.
Objective: To examine the relationship between perceived neighborhood social cohesion (NSC) and intentions to obtain seasonal influenza and COVID-19 vaccines among US adults post COVID-19 pandemic.
Methods: We conducted a cross-sectional, nationally representative survey of US residents (N = 2189) in May 2023 on their perceived NSC, COVID-19 and seasonal influenza vaccination intentions, healthcare access, perceived risk of COVID-19 or flu infection, loneliness, and trust in doctors. We used bivariate probit regressions to examine joint associations between perceived NSC and intentions to receive influenza and COVID-19 vaccines, controlling for several participant characteristics (e.
Can Fam Physician
October 2024
Cureus
August 2024
Policy and Compliance, Council of Health Insurance, Riyadh, SAU.
Background: The Health Sector Transformation Program (HSTP) has been established as part of Saudi Vision 2030. Despite the significant progress achieved in previous years, the HSTP addresses multiple challenges. One of these challenges is that the current healthcare model prioritizes treatment over prevention.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!