Background Behavioral digital health interventions (e.g., mobile apps, websites, wearables) have been applied widely to improve health outcomes. However, many groups (e.g., people with low income levels, people who are geographically isolated, older adults) may face obstacles to technology access and use. In addition, research has found that biases and stereotypes can be embedded within digital health interventions. As such, behavioral digital health interventions that intend to improve overall population health may unintentionally widen health-related inequities. Purpose This commentary offers guidance and strategies to mitigate these risks when using technology as a means for delivering a behavioral health intervention. Methods A collaborative working group from Society of Behavioral Medicine’s Health Equity Special Interest Group developed a framework to center equity in the development, testing and dissemination of behavioral digital health interventions. Results We introduce Partner, Identify, Demonstrate, Access, Report (PIDAR), a 5-point framework to avoid the creation, perpetuation, and/or widening of health inequities in behavioral digital health work. Conclusions It is critically important to prioritize equity when conducting digital health research. The PIDAR framework can serve as a guide for behavioral scientists, clinicians and developers.
The findings of this study emphasize the varying social determinants of health that affect breast and cervical cancer prevention and treatment. It also highlights the disparities in availability of treatment within the wider Caribbean. It is necessary to broaden the perspective on health from a purely biomedical paradigm to a social perspective.
Background Having multiple chronic conditions (MCCs) is the most common health condition in older adults. The management of each condition presents many challenges. A key factor in patients’ ability to manage their own health care is their level of health literacy. Purpose The purpose of this mixed analysis study was to elucidate the experience of older adults living with MCCs and identify associations among the experiences to determine targets for future mobile health (mHealth) interventions focused on MCCs and health literacy. Participants and methods Using the Abilities, Skills, and Knowledge Model as a framework, semi-structured interviews were completed with 25 older adults in English and Spanish. Interviews were analyzed using inductive thematic analysis and hierarchical cluster analysis. Results The main themes from these results included 1) Reflections of chronic disease; 2) Emotional aspects of chronic disease; 3) Physical barriers to well-being; 4) Quality-of-care factors; and 5) Cognitive strategies for self-management. Qualitative results highlighted the importance of a multi-targeted approach to chronic disease self-management (CDSM). Cluster analysis identified associations within the qualitative data, revealing the importance of the subthemes related to coping with pain and the impact of the patient–provider relationship on treatment adherence. Conclusion Results support the utility of mHealth interventions to improve health literacy and promote CDSM.
Introduction Approximately 20–30% of individuals who contract acute coronavirus disease (COVID-19) infection develop longer term complications of their initial infection, referred to as Post-Acute Sequelae of SARS-CoV-2 infection (PASC). PASC is characterized by chronic, varying symptomatology. Methods Using a mixed methods study design, we aimed to gain insight into individuals’ experience with PASC, including cognitive issues, fatigue, and sleep disturbances. We explored whether our previously developed application (app), aimed at improving self-management skills among individuals with chronic diseases, is relevant for individuals with PASC and gained information to adapt the app for individuals with PASC. The study included 19 individuals, aged 40 years and older, recruited from our research participant database, Nova Southeastern University clinics, and community locations. We included this age range because older adults are more likely to have comorbid conditions, allowing us to better understand the impact of COVID-19 infection in these individuals. Participants completed seven standardized self-report questionnaires online, and an individual semi-structured interview via videoconferencing. Quantitative data were assessed using descriptive statistics and calculating individuals’ scores in relation to norms. Qualitative data were analyzed using a thematic analysis approach. Triangulation of the data was accomplished by calculating correlations between participants’ responses on self-report scales and themes found in semi-structured interviews. Results Themes included disruption of everyday life, diverse physical symptoms, and cognitive problems including brain fog, fatigue, coping, and emotional upset. Quantitative analysis demonstrated that participants experienced high levels of fatigue, negative mood, cognitive problems, and overall reduction in health-related quality of life (HRQOL). Correlation analyses revealed that individual interview responses were related to participants’ self-report of symptoms on standard questionnaires. Discussion Findings indicate that self-report questionnaires may reflect the experience of individuals with PASC and its impact. Additionally, further efforts to expand our prior mobile app are warranted among individuals with PASC.
Although screening reduces colorectal cancer (CRC) incidence and mortality, screening rates are low, particularly among CRC patients' first-degree relatives (FDRs). Little is known about discussion of family members' risk of CRC among patients and their health care providers or with their FDRs. The purpose of this research, guided by the Protection Motivation Theory, was to assess patients' patterns of disclosure of CRC diagnosis to adult siblings and/or children and discussion of familial risk by healthcare providers. A cross-sectional sample of patients who received care at a comprehensive cancer center was recruited to complete telephone-based interviews related to disclosure of CRC diagnosis to FDRs, recall of physician counseling about familial risk, and patients' perception of CRC risk to FDRs. Sixty-nine patients completed the interview. Most participants (n = 67, 97%) had informed their adult children or siblings of their CRC diagnosis to keep their family informed of their health status (n = 15, 22%) and to encourage FDRs to screen for CRC (n = 14, 20%). More than half of the participants' physicians (n = 38, 55%) discussed FDRs' risk of developing CRC with the patient. However, a substantial proportion of patients reported no physician discussion of this risk (n = 28, 41%). Data from this study may guide the development of interventions to facilitate physician discussion and counseling of CRC patients about their FDRs' risk for CRC. However, future studies should explore whether FDRs are likely to be screened after becoming aware of their family member's diagnosis of CRC.
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