A Community-Engaged Process for Adapting a Proven Community Health Worker Model to Integrate Precision Cancer Care Delivery for Low-income Latinx Adults With Cancer.

INTRODUCTION: Disparities in precision cancer care delivery among low-income Latinx adults are well described. In prior work, we developed a community health worker-led goals of care and cancer symptom assessment intervention. The objective of this study was to adapt this intervention for a community setting, incorporating precision cancer care delivery. METHODS: We used a two-phased systematic approach to adapt an evidence-based intervention for our community. Specifically, we used the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework to identify barriers and facilitators to precision cancer care delivery via 1-hr interviews with Latinx adults with cancer, Latinx caregivers, community leaders, primary care and oncology clinicians, and community health workers. Interviews were recorded, transcribed, and analyzed using the constant comparative method and grounded theory analysis. Phase 2 involved interviews with key community advisors using the Expert Panels Method to decide on final adaptations. RESULTS: Using this community-engaged approach, we identified specific intervention adaptations to ensure precision cancer care delivery in a community setting, which included: (a) expansion of the intervention inclusion criteria and mode of delivery; (b) integration of low-literacy precision cancer care intervention activities in Spanish in collaboration with community-based organizations; (c) ensuring goals reflective of patient and community priorities. CONCLUSIONS: This systematic and community-engaged approach to adapt an intervention for use in delivering precision cancer care strengthened an evidence-based approach to promote the needs and preferences of patients and key community stakeholders.

The "Our Voice" Method: Participatory Action Citizen Science Research to Advance Behavioral Health and Health Equity Outcomes.

Citizen science research that more fully engages the community can systematically involve people from under-resourced groups to create practical health-enhancing improvements across physical, social and food environments. Exemplary health equity-focused outcomes include key health behaviors (e.g., healthy eating or physical activity) and community-level changes (e.g., public transit to food shops) that are central to health promotion while being demonstrably impacted by local environmental contexts. Yet, few examples of this approach are readily available for application within complex, community-based settings. In this paper, we present the Our Voice (OV) four-step method to demonstrate an integrated participatory citizen science approach and its usability for action-focused researchers and community health practitioners. In addition, we present a summary of the major research, processes, and community outcomes, with examples drawn from nutrition and healthy food access areas, among others. Finally, we explore the hallmark features of the OV method that effectively engage citizen scientists, empowering action and fostering solution-building across social and environmental structures impacting community health. Expanding research that marries participatory research philosophies with innovative citizen science methods, supported by systematic data collection, visualization, and delivery technologies, in turn provides a powerful toolkit for tackling local to global health equity challenges.

Patient and Health Professional Perceptions of Telemonitoring for Hypertension Management: Qualitative Study.

BACKGROUND: Hypertension is the most prevalent and important risk factor for cardiovascular disease, affecting nearly 50% of the US adult population; however, only 30% of these patients achieve controlled blood pressure (BP). Incorporating strategies into primary care that take into consideration individual patient needs, such as remote BP monitoring, may improve hypertension management. OBJECTIVE: From March 2018 to December 2018, Stanford implemented a precision health pilot called Humanwide, which aimed to leverage high-technology and high-touch medicine to tailor individualized care for conditions such as hypertension. We examined multi-stakeholder perceptions of hypertension management in Humanwide to evaluate the program's acceptability, appropriateness, feasibility, and sustainability. METHODS: We conducted semistructured interviews with 16 patients and 15 health professionals to assess their experiences with hypertension management in Humanwide. We transcribed and analyzed the interviews using a hybrid approach of inductive and deductive analysis to identify common themes around hypertension management and consensus methods to ensure reliability and validity. RESULTS: A total of 63% (10/16) of the patients and 40% (6/15) of the health professionals mentioned hypertension in the context of Humanwide. These participants reported that remote BP monitoring improved motivation, BP control, and overall clinic efficiency. The health professionals discussed feasibility challenges, including the time needed to analyze BP data and provide individualized feedback, integration of BP data, technological difficulties with the BP cuff, and decreased patient use of remote BP monitoring over time. CONCLUSIONS: Remote BP monitoring for hypertension management in Humanwide was acceptable to patients and health professionals and appropriate for care. Important challenges need to be addressed to improve the feasibility and sustainability of this approach by leveraging team-based care, engaging patients to sustain remote BP monitoring, standardizing electronic medical record integration of BP measurements, and finding more user-friendly BP cuffs.

Differing views regarding diet and physical activity: adolescents versus parents' perspectives.

BACKGROUND: Today, approximately one in five United States adolescents age 12 to 19 years is obese and just over a third are either overweight or obese. This study examines how parents and peers influence diet and physical activity behaviors of older adolescents (14-18 years) with overweight or obesity to inform weight management interventions. METHODS: Adolescent participants included 14 to 18-year-olds with a Body Mass Index (BMI) greater than the 85th percentile for their age and sex who were receiving care in a large healthcare system in Northern California. Adolescents and their parents participated in separate focus groups and interviews (if not able to attend focus groups) that were held at the same time in the same location. We used qualitative thematic analysis to identify common themes discussed in the adolescent and parent focus groups as well as paired analysis of adolescent-parent dyads. RESULTS: Participants included 26 adolescents and 27 parents. Adolescent participants were 14 to 18 years old. Half were female and the participants were almost evenly distributed across year in school. The majority self-identified as White (56%) and Asian (36%).Three themes were identified which included 1) parents overestimated how supportive they were compared to adolescents' perception 2) parents and adolescents had different views regarding parental influence on adolescent diet and physical activity behaviors 3) parents and adolescents held similar views on peers' influential role on lifestyle behaviors. CONCLUSION: Parents' and adolescents' differing views suggest that alignment of parent and adolescent expectations and behaviors for supporting effective weight management could be incorporated into interventions.

Physical education policy compliance and Latino children's fitness: Does the association vary by school neighborhood socioeconomic advantage?

OBJECTIVES: To investigate the contribution of school neighborhood socioeconomic advantage to the association between school-district physical education policy compliance in California public schools and Latino students' physical fitness. METHODS: Cross-sectional Fitnessgram data for public-school students were linked with school- and district-level information, district-level physical education policy compliance from 2004-2005 and 2005-2006, and 2000 United States Census data. Multilevel logistic regression models examined whether income and education levels in school neighborhoods moderated the effects of district-level physical education policy compliance on Latino fifth-graders' fitness levels. RESULTS: Physical education compliance data were available for 48 California school districts, which included 64,073 Latino fifth-graders. Fewer than half (23, or 46%) of these districts were found to be in compliance, and only 16% of Latino fifth-graders attended schools in compliant districts. Overall, there was a positive association between district compliance with physical education policy and fitness (OR, 95%CI: 1.38, 1.07, 1.78) adjusted for covariates. There was no significant interaction between school neighborhood socioeconomic advantage and physical education policy compliance (p>.05): there was a positive pattern in the association between school district compliance with physical education policy and student fitness levels across levels of socioeconomic advantage, though the association was not always significant. CONCLUSIONS: Across neighborhoods with varying levels of socioeconomic advantage, increasing physical education policy compliance in elementary schools may be an effective strategy for improving fitness among Latino children.

Using Citizen Scientists to Gather, Analyze, and Disseminate Information About Neighborhood Features That Affect Active Living.

Many Latinos are insufficiently active, partly due to neighborhoods with little environmental support for physical activity. Multi-level approaches are needed to create health-promoting neighborhoods in disadvantaged communities. Participant "citizen scientists" were adolescent (n = 10, mean age = 12.8 ± 0.6 years) and older adult (n = 10, mean age = 71.3 ± 6.5 years), low income Latinos in North Fair Oaks, California. Citizen scientists conducted environmental assessments to document perceived barriers to active living using the Stanford Healthy Neighborhood Discovery Tool, which records GPS-tracked walking routes, photographs, audio narratives, and survey responses. Using a community-engaged approach, citizen scientists subsequently attended a community meeting to engage in advocacy training, review assessment data, prioritize issues to address and brainstorm potential solutions and partners. Citizen scientists each conducted a neighborhood environmental assessment and recorded 366 photographs and audio narratives. Adolescents (n = 4), older adults (n = 7) and community members (n = 4) collectively identified reducing trash and improving personal safety and sidewalk quality as the priority issues to address. Three adolescent and four older adult citizen scientists volunteered to present study findings to key stakeholders. This study demonstrated that with minimal training, low-income, Latino adolescent and older adult citizen scientists can: (1) use innovative technology to gather information about features of their neighborhood environment that influence active living, (2) analyze their information and identify potential solutions, and (3) engage with stakeholders to advocate for the development of healthier neighborhoods.

Community resource utilization, psychosocial health, and sociodemographic factors associated with diet and physical activity among low-income obese Latino immigrants.

Low-socioeconomic-status (SES) Latinos are disproportionately represented among the 78 million obese Americans. Tailored behavioral weight-loss interventions show promise, but there is limited adaptation to lower-SES Latino immigrants. This study provides guidance for tailoring obesity-reduction strategies for this population by evaluating food security, educational community resource utilization, education level, depression, sex, and length of US residence as predictors of diet and physical activity. The cross-sectional study used baseline data collected in July 2009 through September 2010 for a weight-loss trial among lower-SES obese (body mass index 30 to 55) Latino immigrants who were enrolled at a community health clinic (n=207). Physical activity was measured using 7-day pedometer recording. Dietary intake was measured using an interviewer-administered food frequency questionnaire. Factors assessed by questionnaire included education community resource use (nutrition and physical activity classes), education level, US residence (years), food security, and depressive symptoms. Data were analyzed using multivariate-adjusted linear regression models. More than one third of participants were sedentary (<5,000 steps/day), and 41% had low fruit and vegetable intake (<5 servings/day). In multivariate-adjusted models, educational community resource use, male sex, less education, fewer depressive symptoms, and shorter US residence time were associated with more physical activity (all, P ≤ 0.05). Educational community resource use was positively associated with fruit and vegetable intake (P=0.05). Male sex was associated with more sweet-beverage intake (P=0.02) and fast-food intake (P=0.04). Fewer depressive symptoms were associated with lower sweet-beverage intake (P=0.05). In conclusion, obesity-reduction strategies among low-SES Latino immigrants might effectively emphasize educational community resource use and interventions tailored for psychosocial and sociodemographic characteristics.

A systematic approach to selecting an appropriate measure of self-reported physical activity or sedentary behavior.

CONTEXT: Numerous instruments to measure self-reported physical activity (PA) exist, but there is little guidance for determining the most appropriate choice. OBJECTIVE: To provide a systematic framework for researchers and practitioners to select a self-reported PA instrument. PROCESS: The framework consists of 2 components: a series of questions and a database of instruments. The questions encourage users to think critically about their specific needs and to appreciate the strengths and limitations of the available options. Instruments for the database were identified through existing literature and expert opinion. FINDINGS: Ten questions, ranging from study aim and study design to target population and logistical consideration, guide the researcher or practitioner in defining the criteria for an appropriate PA instruments for a given situation. No one question on its own determines the optimal choice, but taken together, they narrow the potential field. The database currently includes 38 different self-reported PA instruments, characterized by 18 different parameters. CONCLUSIONS: The series of questions presented here, in conjunction with a searchable database of self-report PA instruments, provides a needed step toward the development of guiding principles and good practices for researchers and practitioners to follow in making an informed selection of a self-reported PA instrument.