COVID-19 shines a light on health inequities in communities of color: A youth-driven photovoice inquiry.

This manuscript reports on a youth-driven health assessment engaging youth of color in identifying community health priorities during the coronavirus disease 2019 (COVID-19) pandemic. Photovoice, a participatory visual ethnographic health assessment strategy, was used to explore the question: What does health or healthiness mean to you and/or your community? Youth captured images that represented their priorities. The photos were discussed using the SHOWed framework and analyzed thematically. Four themes related to community health were identified. Additionally, youth captured their narrative of COVID-19 as "a revealing force that highlights systemic inequities, driving individuals and communities to both cultivate their resilience and take healthcare into their own hands in response to government and policy level failures." Youth are acutely aware of the historical and structural inequities that create multi-level barriers to healthcare access. Health inequities existed long before the pandemic, but the current crisis requires us to examine ways to transform the healthcare landscape moving forward.

Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study.

BACKGROUND: The use of mobile technology or smartphones has grown exponentially in the United States, allowing more individuals than ever internet access. This access has been especially critical to households earning less than US $30,000, the majority of whom indicate that smartphones are their main source of internet access. The increasing ubiquity of smartphones and virtual care promises to offset some of the health disparities that cut through the United States. However, disparities cannot be addressed if the medical information offered though smartphones is not accessible or reliable. OBJECTIVE: This study seeks to create a framework to review the strengths and weaknesses of mobile Health (mHealth) apps for diverse, low-income populations. METHODS: Focusing on smoking cessation, diabetes management, and medication adherence as models of disease management, we describe the process for selecting, evaluating, and obtaining patient feedback on mHealth apps. RESULTS: The top 2 scoring apps in each category were QuitNow! and Smoke Free-Quit Smoking Now for smoking cessation, Glucosio and MyNetDiary for diabetes management, and Medisafe and MyMeds for medication adherence. CONCLUSIONS: We believe that this framework will prove useful for future mHealth app development, and clinicians and patient advisory groups in connecting culturally, educationally, and socioeconomically appropriate mHealth apps with low-income, diverse communities and thus work to bridge health disparities.

Moving the needle on primary care burnout: Using a driver diagram to accelerate impact.

Prior to the COVID-19 pandemic, studies demonstrated an alarming prevalence of burnout in primary care. In the midst of the pandemic, primary care clinician wellbeing deteriorated and burnout rates increased, yet many organizational efforts to reduce burnout were put on hold due to the urgency of the pandemic. In this article, we present the "Reducing Burnout Driver Diagram" as a tool that clinical leaders and policy makers can use to address and mitigate primary care clinician burnout.