Qualitative research amplifies the voices of marginalized communities and thus plays a critical role in shaping our understanding of health inequities and their social determinants. Traditional qualitative approaches, such as grounded theory or thematic analysis, require extensive training and are time- and labor-intensive; as such, they may not be adequately suited to address healthy equity issues that require a swift response. Rapid qualitative analysis (RQA) is an action-oriented approach to qualitative data analysis that may be used when findings are needed to quickly inform practice. RQA capitalizes on using a team to summarize key points from qualitative data into matrices to explore relevant themes efficiently and systematically. In this paper, we provide case examples from our work applying RQA to health equity research with Latino communities to address community needs, such as responses to public health emergencies and the development of service delivery and technology interventions for infectious and chronic diseases. We draw from our collective experiences to share lessons learned and provide the following specific recommendations (“EARS”) to researchers interested in applying RQA for health equity research: (1) Employ RQA to address rapidly evolving, urgent, health equity challenges; (2) Assure quality and rigor throughout the RQA process; (3) Respond to barriers and problem-solve as needed; and (4) Strengthen community relationships before, during, and after using RQA. Overall, we advocate for the use of RQA to promote health equity due to its ability to integrate the vital perspectives of marginalized communities and efficiently respond to their needs.

Background: Commercial off-the-shelf activity trackers (eg, Fitbit) allow users to self-monitor their daily physical activity (PA), including the number of steps, type of PA, amount of sleep, and other features. Fitbits have been used as both measurement and intervention tools. However, it is not clear how they are being incorporated into PA intervention studies, and their use in specific age groups across the life course is not well understood. Objective: This narrative review aims to characterize how PA intervention studies across the life course use Fitbit devices by synthesizing and summarizing information on device selection, intended use (intervention vs measurement tool), participant wear instructions, rates of adherence to device wear, strategies used to boost adherence, and the complementary use of other PA measures. This review provides intervention scientists with a synthesis of information that may inform future trials involving Fitbit devices. Methods: We conducted a search of the Fitabase Fitbit Research Library, a database of studies published between 2012 and 2018. Of the 682 studies available on the Fitabase research library, 60 interventions met the eligibility criteria and were included in this review. A supplemental search in PubMed resulted in the inclusion of 15 additional articles published between 2019 and 2020. A total of 75 articles were reviewed, which represented interventions conducted in childhood; adolescence; and early, middle, and older adulthood. Results: There was considerable heterogeneity in the use of Fitbit within and between developmental stages. Interventions for adults typically required longer wear periods, whereas studies on children and adolescents tended to have more limited device wear periods. Most studies used developmentally appropriate behavior change techniques and device wear instructions. Regardless of the developmental stage and intended Fitbit use (ie, measurement vs intervention tool), the most common strategies used to enhance wear time included sending participants reminders through texts or emails and asking participants to log their steps or synchronize their Fitbit data daily. The rates of adherence to the wear time criteria were reported using varying metrics. Most studies supplemented the use of Fitbit with additional objective or self-reported measures for PA. Conclusions: Overall, the heterogeneity in Fitbit use across PA intervention studies reflects its relative novelty in the field of research. As the use of monitoring devices continues to expand in PA research, the lack of uniformity in study protocols and metrics of reported measures represents a major issue for comparability purposes. There is a need for increased transparency in the prospective registration of PA intervention studies. Researchers need to provide a clear rationale for the use of several PA measures and specify the source of their main PA outcome and how additional measures will be used in the context of Fitbit-based interventions.

Current research on the physical and psychological functioning of breast cancer survivors often takes an approach where symptoms are studied independently even though they often occur in clusters T...