Using Rapid-Cycle Change to Improve COVID-19 Vaccination Strategy in Primary Care.
Lindsay S HuntErin E SullivanJordan SusaRoger ChaufournierClaudine JosephRussell S PhillipsKirsten MeisingerPublished in: International journal of environmental research and public health (2023)
During the COVID-19 pandemic, misinformation and distrust exacerbated disparities in vaccination rates by race and ethnicity throughout the United States. Primary care, public health systems, and community health centers have shifted their vaccination outreach strategies toward these disparate, unvaccinated populations. To support primary care, we developed the SAVE Sprint model for implementing rapid-cycle change to improve vaccination rates by overcoming community outreach barriers and workforce limitations. Participants were recruited for the 10-week SAVE Sprint program through partnerships with the National Association of Community Health Centers (NACHC) and the Resilient American Communities (RAC) Initiative. The majority of the participants were from community health centers. Data were evaluated during the program through progress reports and surveys, and interviews conducted three months post-intervention were recorded, coded, and analyzed. The SAVE Sprint model of rapid-cycle change exceeded participants' expectations and led to improvements in patient education and vaccination among their vulnerable populations. Participants reported building new skills and identifying strategies for targeting specific populations during a public health emergency. However, participants reported that planning for rapid-pace change and trust-building with community partners prior to a health care crisis is preferable and would make navigating an emergency easier.
Keyphrases
- public health
- primary care
- healthcare
- quality improvement
- mental health
- global health
- emergency department
- coronavirus disease
- randomized controlled trial
- resistance training
- sars cov
- general practice
- cross sectional
- clinical trial
- artificial intelligence
- body composition
- hiv infected
- machine learning
- medical students
- affordable care act
- health insurance
- colorectal cancer screening
- antiretroviral therapy