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Background Although mobile health (mHealth) technologies are burgeoning in the research arena, there is a lack of mHealth interventions focused on improving self-management of individuals with cardiometabolic risk factors (CMRFs). Objective The purpose of this article was to critically and systematically review the efficacy of mHealth interventions for self-management of CMRF while evaluating quality, limitations, and issues with disparities using the technology acceptance model as a guiding framework. Methods PubMed, CINAHL, EMBASE, and Lilacs were searched to identify research articles published between January 2008 and November 2018. Articles were included if they were published in English, included adults, were conducted in the United States, and used mHealth to promote self-care or self-management of CMRFs. A total of 28 articles were included in this review. Results Studies incorporating mHealth have been linked to positive outcomes in self-management of diabetes, physical activity, diet, and weight loss. Most mHealth interventions included modalities such as text messaging, mobile applications, and wearable technologies. There was a lack of studies that are (1) in resource-poor settings, (2) theoretically driven, (3) community-engaged research, (4) measuring digital/health literacy, (5) measuring and evaluating engagement, (6) measuring outcomes related to disease self-management, and (7) focused on vulnerable populations, especially immigrants. Conclusion There is still a lack of mHealth interventions created specifically for immigrant populations, especially within the Latino community—the largest growing minority group in the United States. In an effort to meet this challenge, more culturally tailored mHealth interventions are needed.

Background Community engagement may make research more relevant, translatable, and sustainable, hence improving the possibility of reducing health disparities. The purpose of this study was to explore strategies for community engagement adopted by research teams and identify areas for enhancing engagement in future community engaged research. Methods The Community Engagement Program of the Johns Hopkins Institute for Clinical and Translational Research hosted a forum to engage researchers and community partners in group discussion to reflect on their diverse past and current experiences in planning, implementing, and evaluating community engagement in health research. A total of 50 researchers, research staff, and community partners participated in five concurrent semi-structured group interviews and a whole group wrap-up session. Group interviews were audiotaped, transcribed verbatim, and analyzed using content analysis. Results Four themes with eight subthemes were identified. Main themes included: Community engagement is an ongoing and iterative process; Community partner roles must be well-defined and clearly communicated; Mutual trust and transparency are central to community engagement; and Measuring community outcomes is an evolving area. Relevant subthemes were: engaging community partners in various stages of research; mission-driven vs. “checking the box”; breadth and depth of engagement; roles of community partner; recruitment and selection of community partners; building trust; clear communication for transparency; and conflict in community engaged research. Conclusion The findings highlight the benefits and challenges of community engaged research. Enhanced capacity building for community engagement, including training and communication tools for both community and researcher partners, are needed.

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Background In the United States, nearly 80% of family caregivers of people with dementia have at least one chronic condition. Dementia caregivers experience high stress and burden that adversely affect their health and self-management. mHealth apps can improve health and self-management among dementia caregivers with a chronic condition. However, mHealth app adoption by dementia caregivers is low, and reasons for this are not well understood. Objective The purpose of this study is to explore factors associated with dementia caregivers’ intention to adopt mHealth apps for chronic disease self-management. Methods We conducted a cross-sectional, correlational study and recruited a convenience sample of dementia caregivers. We created a survey using validated instruments and collected data through computer-assisted telephone interviews and web-based surveys. Before the COVID-19 pandemic, we recruited dementia caregivers through community-based strategies, such as attending community events. After nationwide closures due to the pandemic, the team focused on web-based recruitment. Multiple logistic regression analyses were used to test the relationships between the independent and dependent variables. Results Our sample of 117 caregivers had an average age of 53 (SD 17.4) years, 16 (SD 3.3) years of education, and 4 (SD 2.5) chronic conditions. The caregivers were predominantly women (92/117, 78.6%) and minorities (63/117, 53.8%), experienced some to extreme income difficulties (64/117, 54.7%), and were the child or child-in-law (53/117, 45.3%) of the person with dementia. In logistic regression models adjusting for the control variables, caregiver burden (odds ratio [OR] 1.3, 95% CI 0.57-2.8; P=.57), time spent caregiving per week (OR 1.7, 95% CI 0.77-3.9; P=.18), and burden of chronic disease and treatment (OR 2.3, 95% CI 0.91-5.7; P=.08) were not significantly associated with the intention to adopt mHealth apps. In the final multiple logistic regression model, only perceived usefulness (OR 23, 95% CI 5.6-97; P<.001) and the interaction term for caregivers’ education and burden of chronic disease and treatment (OR 31, 95% CI 2.2-430; P=.01) were significantly associated with their intention to adopt mHealth apps. Perceived ease of use (OR 2.4, 95% CI 0.67-8.7; P=.18) and social influence (OR 1.8, 95% CI 0.58-5.7; P=.31) were not significantly associated with the intention to adopt mHealth apps. Conclusions When designing mHealth app interventions for dementia caregivers with a chronic condition, it is important to consider caregivers’ perceptions about how well mHealth apps can help their self-management and which app features would be most useful for self-management. Caregiving factors may not be relevant to caregivers’ intention to adopt mHealth apps. This is promising because mHealth strategies may overcome barriers to caregivers’ self-management. Future research should investigate reasons why caregivers with a low education level and low burden of chronic disease and treatment have significantly lower intention to adopt mHealth apps for self-management.

AIM The aim of this national study was to explore student and faculty personal experiences of ethical dilemmas in nursing education and clinical practice. BACKGROUND Nurses encounter complex ethical dilemmas in practice that can lead to moral distress when they cannot “do the right thing” because of external constraints. METHOD A mixed-methods study via online survey was conducted on senior nursing student members and faculty advisors of the National Student Nurses Association. Over 1,600 students and 600 faculty answered a “two-minute survey” with the question: “Please describe an ethical dilemma you have experienced.” RESULTS Descriptive statistics demonstrated a difference in student and faculty reports about the ethics content they received. The qualitative results from constant comparison of open-ended questions also supported differences in themes from student and faculty perspectives. CONCLUSION This study supports that students and faculty voice their concerns with different ethical dilemmas in their nursing education experiences.

Background: Black women living with HIV (WLH) have the highest HIV infection rate, cervical cancer mortality, and the lowest cancer screening use compared to other groups. However, there is a gap in knowledge about cancer screening health literacy in the Black WLH population. Objective: The purpose of this study was to assess the level of cancer screening health literacy, and to identify factors associated with health literacy among Black WLH. Methods: This study used baseline data from a community-based randomized controlled trial for a health literacy intervention called CHECC-uP (community-based health literacy intervention for cancer control). We recruited a convenience sample of Black WLH ( N = 123) who understand English and had no Pap testing in the prior 12 months. The outcome was cancer screening health literacy measured with a validated health literacy tool—Assessment of Health Literacy in Cancer Screening. Predictors included age, marital status, education, income, and insurance type. The association between cancer screening health literacy and predictors was assessed with multivariate logistic regression. Key Results: Almost one-half (49.6%) of study participants had a reading level at or below sixth grade. Older age (adjusted odds ratio [aOR] 1.05) and higher educational levels (aOR 5.13) were significantly associated with higher cancer screening health literacy among our sample of Black WLH in bivariate and multivariate analyses. Conclusions: Educational materials and other approaches to empower patients should be tested with patients who have low health literacy to ensure efficacy. [ HLRP: Health Literacy Research and Practice . 2022;6(3):e175–e181. ] Plain Language Summary: Using a cancer screening health literacy tool, we found that about one-half of the Black WLH in the study had a reading level at or below sixth grade. Age and education level were related to their reading levels among the women. Researcher and clinicians need to test educational materials and other approaches with patients who have low health literacy to make sure they work.

Recruiting racially and ethnically diverse dementia family caregivers (FCGs) for research can be challenging. The purposes of this presentation are to describe methods of successfully recruiting racially and ethnically diverse dementia FCGs for survey research and to share lessons learned. This study aimed to recruit dementia FCGs who have a chronic health condition and access to a mobile device. FCGs were primarily recruited from the Baltimore-Washington Metropolitan area to complete an online or phone survey about their technology use. A variety of recruitment methods were used including: posting ads in a local newspaper targeting older adults, partnering with a local Alzheimer’s research center and memory treatment center, attending community events, using online research registries, and posting online advertisements. The most successful method of recruiting minorities was by attending community events for caregivers and talking directly with community members about the research study. Online recruitment methods were less successful, but yielded the greatest diversity of participants, including Asian, Native American, mixed race, and African American FCGs. Some challenges associated with recruiting minority FCGs were working with primarily immigrant communities; recruiting FCGs who do not speak English; and building trust among communities that have been negatively impacted by research. Suggestions for future research include using recruitment strategies that enable researchers to build rapport with FCGs, engaging community stakeholders to understand your source population, and using a variety of recruitment methods. Also, online recruiting through credible sources appears to be a somewhat feasible method of recruiting diverse FCGs for survey research.