Background: Successful community-engaged research depends on the quality of the collaborative partnerships between community-members and academic researchers and may take several forms depending on the purpose which dictates the degree to which power dynamics are handled within the collaborative arrangement. Methods: To understand the power dynamics and related concepts within community-engaged research arrangements, a secondary analysis of an existing qualitative data set was undertaken. Two models of communityengaged research, a review of literature, and the applied experiences of researchers familiar with community engagement practices confirmed the power dynamics concepts used to carry out the analysis of the qualitative data set according to the principles of directed content analysis. This analysis yielded quotes on power dynamics and related issues. Tools to address the power dynamics exposed by the quotes were selected using the literature and lived experience of the researchers. Finally, to ensure trustworthiness, the selected quotes on power dynamics and the recommended tools were subjected to naturalistic treatment using peer debriefings and triangulation. Results: Analysis of existing qualitative data made clear that community-engaged research between health practitioners and communities may take several forms depending on the purpose and dictate how power dynamics, including inequities, biases, discrimination, racism, rank and privilege, are handled within the collaborative arrangement. Three tools including implicit bias training, positionality, and structural competency may be used to address power dynamics and related concepts. Conclusion: Analysis of the qualitative data set highlighted the power dynamics within different communityengaged research models and the tools that may be used to address inequitable power dynamics including implicit bias training, positionality, and structural competency.

Primary care practices have increasingly adopted the patient-centered medical home (PCMH) model and often adapted quality improvement efforts to fit local context. This paper implemented a modified framework for understanding adaptations in the context of primary care PCMH transformation efforts. We combined an adaptations model by Stirman et al. that categorized adaptations to evidence-based interventions in research studies with dimensions from the RE-AIM framework, as well as items specific to PCMH. The resulting constructs were translated into a "plain English" adaptations interview. We conducted interviews with 27 practices and used resulting descriptive categories to inform exploratory analyses of the relationships between adaptation characteristics and improvement outcomes in PCMH domains of team-based care and data capacity. Practices most commonly focused on development and use of disease registries and enhancements to team-based care (not disease-specific outcomes). Adaptations were common, with practices most frequently making changes to format or personnel. Adaptations were most often intended to increase effectiveness and based on pragmatic considerations. Generally similar adaptation themes emerged across different content topics (registry and quality improvement team). Adaptations initiated or carried out by the entire team or made in early to middle stages of the project were most related to outcome measures of team-based care and data capacity. This paper extends adaptation models from specific interventions in research studies to PCMH quality improvement efforts. Despite limitations, the PCMH Adaptations Model provided a useful framework to understand adaptations in this context.

Purpose: Registry implementation is an important component of successfully achieving patient-centered medical home designation and an important part of population-based health. The purpose of this study was to examine what factors are evident in the successful implementation of a registry in a selection of Colorado practices involved in quality-improvement activities.Methods: In-depth, small-group interviews occurred at 13 practices. The data were recorded, transcribed, and qualitatively analyzed to identify key themes regarding elements of successful registry implementation. Key elements were described as conditions, then calibrated and analyzed using qualitative comparative analysis (QCA).Results

Racial and ethnic minority subpopulations experience a disproportionate burden of asthma and adverse childhood experiences (ACEs). These disparities result from systematic differences in risk exposure, opportunity access, and return on resources, but we know little about how accumulated differentials in ACEs may be associated with adult asthma by racial/ethnic groups. We used Behavioral Risk Factor Surveillance System data (N = 114,015) from 2009 through 2012 and logistic regression to examine the relationship between ACEs and adult asthma using an intersectional lens, investigating potential differences for women and men aged 18 and older across seven racial/ethnic groups. ACEs were significantly related to asthma, adjusting for race/ethnicity and other covariates. Compared to the reference group (Asians), asthma risk was significantly greater for Black/African American, American Indian and Alaska Native (AIAN), White, and multiracial respondents. In sex-stratified interactional models, ACEs were significantly related to asthma among women. The relationship between ACEs and asthma was significantly weaker for Black/African American and AIAN women compared to the reference group (Asian women). The findings merit attention for the prevention and early detection of ACEs to mitigate long-term health disparities, supporting standardized screening and referrals in clinical settings, evidence-based prevention in communities, and the exploration of strategies to buffer the influence of adversities in health.