Background It has been widely communicated that individuals with underlying health conditions are at higher risk of severe disease due to COVID-19 than healthy peers. As social distancing measures continue during the COVID-19 pandemic, experts encourage individuals with underlying conditions to engage in telehealth appointments to maintain continuity of care while minimizing risk exposure. To date, however, little information has been provided regarding telehealth uptake among this high-risk population. Objective The aim of this study is to describe the telehealth use, resource needs, and information sources of individuals with chronic conditions during the COVID-19 pandemic. Secondary objectives include exploring differences in telehealth use by sociodemographic characteristics. Methods Data for this study were collected through an electronic survey distributed between May 12-14, 2020, to members of 26 online health communities for individuals with chronic disease. Descriptive statistics were run to explore telehealth use, support needs, and information sources, and z tests were run to assess differences in sociodemographic factors and information and support needs among those who did and did not use telehealth services. Results Among the 2210 respondents, 1073 (49%) reported engaging in telehealth in the past 4 months. Higher proportions of women engaged in telehealth than men (890/1781, 50% vs 181/424, 43%; P=.007), and a higher proportion of those earning household incomes of more than US $100,000 engaged in telehealth than those earning less than US $30,000 (195/370, 53% vs 241/530 45%; P=.003). Although 59% (133/244) of those younger than 40 years and 54% (263/486) of those aged 40-55 years used telehealth, aging populations were less likely to do so, with only 45% (677/1500) of individuals 56 years or older reporting telehealth use (P<.001 and P=.001, respectively). Patients with cystic fibrosis, lupus, and ankylosing spondylitis recorded the highest proportions of individuals using telehealth when compared to those with other diagnoses. Of the 2210 participants, 1333 (60%) participants either looked up information about the virus online or planned to in the future, and when asked what information or support would be most helpful right now, over half (1151/2210, 52%) responded “understanding how COVID-19 affects people with my health condition.” Conclusions Nearly half of the study sample reported participating in telehealth in the past 4 months. Future efforts to engage individuals with underlying medical conditions in telehealth should focus on outreach to men, members of lower-income households, and aging populations. These results may help inform and refine future health communications to further engage this at-risk population in telehealth as the pandemic continues.

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BackgroundIndividuals living in lower-income areas face an increased prevalence of chronic disease and, oftentimes, greater barriers to optimal self-management. Disparities in disease management are seen across the lifespan, but are particularly notable among middle-aged adults. Although evidence-based Chronic Disease Self-management Education courses are available to enhance self-management among members of this at-risk population, little information is available to determine the extent to which these courses are reaching those at greatest risk. The purpose of this study is to compare the extent to which middle-aged adults from lower- and higher-income areas have engaged in CDSME courses, and to identify the sociodemographic characteristics of lower-income, middle aged participants.MethodsThe results of this study were produced through analysis of secondary data collected during the Communities Putting Prevention to Work: Chronic Disease Self-Management Program initiative. During this initiative, data was collected from 100,000 CDSME participants across 45 states within the United States, the District of Columbia, and Puerto Rico.ResultsOf the entire sample included in this analysis (19,365 participants), 55 people lived in the most impoverished counties. While these 55 participants represented just 0.3% of the total study sample, researchers found this group completed courses more frequently than participants from less impoverished counties once enrolled.ConclusionThese results signal a need to enhance participation of middle-aged adults from lower-income areas in CDSME courses. The results also provide evidence that can be used to inform future program delivery choices, including decisions regarding recruitment materials, program leaders, and program delivery sites, to better engage this population.

The purpose of this review was to better understand how to market the Chronic Disease Self-Management Program to new audiences. Eight databases were searched for peer-reviewed studies of the CDSMP. 39 articles were analyzed to describe the theoretical basis of recruitment strategies and their effectiveness while engaging diverse populations. Findings included that female, Caucasian, and elderly groups are overrepresented in CDSMP literature and recruitment efforts have not been explicitly grounded in theory. This review provides insight into trends in CDSMP recruitment and identifies the need for further research regarding the application of marketing theory to future enrollment efforts.

Purpose: Social isolation is a prominent challenge for many young adults with cancer. Despite desires for peer-to-peer connections through technology, little is known about how young adults initiate or use social media for support over time. Methods:We interviewed young adults with cancer (n = 45; age 18-39, in or post cancer treatment) to explore their initiation of social media for support, changes in use over time, and types of connections sought.Results: Young adults with cancer learn about online support through individual personal recommendations, advocacy organizations, or searching on Google or social media. Most were reluctant to use social media support initially because of feeling overwhelmed-from diagnoses, abundance of online information, or demands of participation-and joined when informational and emotional needs arose.Many wished they had joined earlier. Some participants use social media to make close connections while others simply want to "see" others' shared experiences or crowdsource information. Conclusion:Young adults with cancer often haphazardly find online support from personal recommendations or Internet searches. Desires for social media connections are not one-size-fits-all; there are important audience segmentations for the degree and type of peer support. Implications for Cancer Survivors:Better promotion of online social support options and benefits-early in one's cancer timeline and systematically through healthcare providers, cancer organizations, or family and friends-could improve access to helpful peer-to-peer support.