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This chapter highlights the disproportionate burden experienced by racial and ethnic minorities in the US during the COVID-19 pandemic. Non-White populations in the U.S. make up 55 percent of all COVID-19 cases and about 40 percent of the total population. Mortality parallels the case rate with 33 percent to 53 percent increase in deaths compared to 11 percent among Whites. The underlying factors contributing to increased infection rates will be reviewed with emphasis on the proportion in essential work with less salaried employment with health benefits, and no option to telework. This is exacerbated by the more crowded housing with multiple generations and/or more than one family in a living unit. These factors lead to a decreased ability to implement physical distancing during daily routines, self-isolation at home or outdoor activity in isolation. The decrease access to broadband has further impaired schooling, work options and access to information. Other factors such as discrimination, healthcare access and utilization, economic stability, and others put racial and ethnic minority groups at increased risk of getting COVID-19. Once infected, a higher rate of underlying comorbidities, especially diabetes, has led to more severe manifestations and a resulting higher share of of mortality. Generalized mistrust in governmental institutions and health care system has been exacerbated by misinformation about the pandemic. The importance of working towards establishing a community-engaged approach that promotes trust in science through sustainable long-term partnerships is essential given the higher rate of vaccine hesitancy, especially in African Americans. Structural issues that perpetuate inequalities need to be addressed through policy and legal changes supported by research evidence.
The goal of the Patient-Centered Outcomes Research Partnership was to prepare health care professionals and researchers to conduct patient-centered outcomes and comparative effectiveness research (CER). Substantial evidence gaps, heterogeneous health care systems, and decision-making challenges in the USA underscore the need for evidence-based strategies.
Methods:
We engaged five community-based health care organizations that serve diverse and underrepresented patient populations from Hawai’i to Minnesota. Each partner nominated two in-house scholars to participate in the 2-year program. The program focused on seven competencies pertinent to patient-centered outcomes and CER. It combined in-person and experiential learning with asynchronous, online education, and created adaptive, pragmatic learning opportunities and a Summer Institute. Metrics included the Clinical Research Appraisal Inventory (CRAI), a tool designed to assess research self-efficacy and clinical research skills across 10 domains.
Results:
We trained 31 scholars in 3 cohorts. Mean scores in nine domains of the CRAI improved; greater improvement was observed from the beginning to the midpoint than from the midpoint to conclusion of the program. Across all three cohorts, mean scores on 52 items (100%) increased (p ≤ 0.01), and 91% of scholars reported the program improved their skills moderately/significantly. Satisfaction with the program was high (91%).
Conclusions:
Investigators that conduct patient-centered outcomes and CER must know how to collaborate with regional health care systems to identify priorities; pose questions; design, conduct, and disseminate observational and experimental research; and transform knowledge into practical clinical applications. Training programs such as ours can facilitate such collaborations.
To explore stakeholder perspectives regarding online diabetes nutrition education for American Indians and Alaska Natives (AI/AN) with type 2 diabetes (T2D).
Design:
Qualitative data were collected through focus groups and interviews. Focus group participants completed a brief demographic and internet use survey.
Setting:
Focus groups and community participant interviews were conducted in diverse AI/AN communities. Interviews with nationally recognised content experts were held via teleconference.
Participants:
Eight focus groups were conducted with AI/AN adults with T2D (n 29) and their family members (n 22). Community participant interviews were conducted with eleven clinicians and healthcare administrators working in Native communities. Interviews with nine content experts included clinicians and researchers serving AI/AN.
Results:
Qualitative content analysis used constant comparative method for coding and generating themes across transcripts. Descriptive statistics were computed from surveys. AI/AN adults access the internet primarily through smartphones, use the internet for many purposes and identify opportunities for online diabetes nutrition education.
Conclusions:
Online diabetes nutrition education may be feasible in Indian Country. These findings will inform the development of an eLearning diabetes nutrition education programme for AI/AN adults with T2D.
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