Leveraging digital technology for social connectedness among adults with chronic conditions: A systematic review.

Purpose: To review the evidence about the impact of digital technology on social connectedness among adults with one or more chronic health conditions. Methods: PubMed, Embase, Social Sciences, CINAHL, and Compendex were systematically searched for full-text, peer-reviewed empirical evidence published between 2012 and 2023 and reported using the PRISMA flow diagram. Articles were critically appraised applying the Joanna Briggs Institute checklists. Specific data were extracted based on the framework for social identity and technology approaches for health outcomes and then analyzed and synthesized. Results: Thirty-four studies met study criteria. Evidence showed heterogeneity among research methodology, chronic health conditions, digital technology, and health outcomes. Technology use was influenced by factors such as usability, anonymity, availability, and control. More advanced digital technologies require higher digital literacy and improved accessibility features/modifications. Social support was the most measured aspect of social connectedness. The emotional and informational forms of social support were most reported; instrumental support was the least likely to be delivered. Self-efficacy for using technology was considered in seven articles. Sixteen articles reported health outcomes: 31.2% (n = 5) described mental health outcomes only, 18.8% (n = 3) reported physical health outcomes only, 31.2% (n = 5) detailed both physical and mental health outcomes, whereas 18.8% (n = 3) denoted well-being or quality-of-life outcomes. Most often, health outcomes were positive, with negative outcomes for selected groups also noted. Conclusion: Leveraging digital technology to promote social connectedness has the potential to affect positive health outcomes. Further research is needed to better understand the social integration of technology among populations with different contexts and chronic health conditions to enhance and tailor digital interventions.

Perceptions of COVID-19 and the Use of Health Information Technology Among People Who Are Uninsured: Multimethod Survey Study.

BACKGROUND: As of May 2023, the novel SARS-CoV-2 has claimed nearly 7 million lives globally and >1.1 million lives in the United States. Low-income populations are often disproportionately affected by risk factors such as lifestyle, employment, and limited health literacy. These populations may lack the knowledge of appropriate infection precautions or have reduced access to care during illness, particularly in countries without universal health care. OBJECTIVE: We aimed to explore the perceptions and experiences of COVID-19, including symptoms and risk factors among uninsured individuals seeking care at a free medical clinic, and to obtain respondents' perceptions of and suggestions for adapting a mobile health (mHealth) app to an uninsured population known to have low health literacy. METHODS: We conducted a prospective multimethod survey study with a convenience sample of uninsured adults seeking care at 3 free clinics in the United States. Respondents were questioned about their risk for and awareness of COVID-19 symptoms, COVID-19 testing, current technology use, and the use of technology to facilitate their health regarding COVID-19. Data were analyzed using descriptive statistics (eg, frequencies and mean differences). In addition, a small subset of respondents from one of the clinics (n=10) participated in interviews to provide feedback about the design of a COVID-19 web-based smartphone (mHealth) app. RESULTS: The survey respondents (N=240) were 53.8% (n=129) female, were primarily White (n=113, 47.1%), and had a mean age of 50.0 (SD 11.67; range 19-72) years. Most respondents (162/222, 73%) did not think that they were at risk for COVID-19. Although respondents reported only moderate confidence in their knowledge of the short- and long-term symptoms of COVID-19, their knowledge of the symptoms aligned well with reports published by the Centers for Disease Control and Prevention of the most common acute (590/610, 96.7%) and long-term (217/271, 80.1%) symptoms. Most respondents (159/224, 71%) reported an interest in using the mHealth app to gain additional information regarding COVID-19 and available community resources. Respondents who were interviewed provided suggestions to improve the mHealth app but had overall positive perceptions about the potential usefulness and usability of the app. CONCLUSIONS: It was encouraging that the knowledge of COVID-19 symptoms aligned well with the reports published by the Centers for Disease Control and Prevention and that respondents were enthusiastic about using an mHealth app to monitor symptoms. However, it was concerning that most respondents did not think they were at a risk of contracting COVID-19.

Using Virtual Home Assistants to Address Vulnerable Adults' Complex Care Needs: An Exploratory Feasibility Study.

Harnessing technology has been proposed as one strategy to meet the social and health needs of older adults who prefer to age in place, but solutions remain elusive. In the current study, we evaluated the feasibility of using voice-activated virtual home assistants (VHAs; i.e., Amazon Echo "Alexa" devices) with older adults participating in the Program for All-Inclusive Care of the Elderly (PACE) over 4 months. Study methods included process evaluations, tracking participants' VHA use, and qualitative feedback from PACE participants and staff. The most common VHA activities were voice-activated smart lighting and asking for information. Participants infrequently used VHA activities that could promote physical or cognitive function (e.g., chair yoga, word recall game). Participants enjoyed using the VHAs, and PACE staff were enthusiastic about the potential for VHAs to facilitate aging in place and provided recommendations to increase participants' use of functional health activities. [Journal of Gerontological Nursing, 49(6), 33-40.].

Young Adults' Perspectives of Childhood Food Allergies: Implications for School Nurses.

The primary goal of this study was to examine young adults' perspectives about the effects of their food allergies (FAs) on their social lives from school-age to young adulthood. Young adults aged 18-21 (n = 10) at the University of South Carolina were interviewed. A qualitative descriptive method to find themes and commonalities from transcribed interviews was used for data analysis. Identified themes were (1) feeling different and being isolated, (2) strategies for managing feeling different and being isolated, (3) strategies for managing safety, and (4) acceptance of myself and by others. School-age children attributed the school lunch allergy table as contributing to social isolation. Additionally, participants described feeling different and concerns about safety. Strategies to mitigate those experiences were identified by participants. Implications for children with FAs, their parents, school nurses, and other education and health professionals who work with children are presented.

Correction: Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.

[This corrects the article DOI: .].

Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.

BACKGROUND: Medication nonadherence is a global public health challenge that results in suboptimal health outcomes and increases health care costs. Forgetting to take medicines is one of the most common reasons for unintentional medication nonadherence. Research findings indicate that voice-activated virtual home assistants, such as Amazon Echo and Google Home devices, may be useful in promoting medication adherence. OBJECTIVE: This study aims to create a medication adherence app (skill), MedBuddy, for Amazon Echo devices and measure the use, usability, and usefulness of this medication-taking reminder skill. METHODS: A single-group, mixed methods, cohort feasibility study was conducted with women who took oral contraceptives (N=25). Participants were undergraduate students (age: mean 21.8 years, SD 6.2) at an urban university in the Southeast United States. Participants were given an Amazon Echo Dot with MedBuddy-a new medication reminder skill for Echo devices created by our team-attached to their study account, which they used for 60 days. Participants self-reported their baseline and poststudy medication adherence. MedBuddy use was objectively evaluated by tracking participants' interactions with MedBuddy through Amazon Alexa. The usability and usefulness of MedBuddy were evaluated through a poststudy interview in which participants responded to both quantitative and qualitative questions. RESULTS: Participants' interactions with MedBuddy, as tracked through Amazon Alexa, only occurred on half of the study days (mean 50.97, SD 29.5). At study end, participants reported missing their medication less in the past 1 and 6 months compared with baseline (χ21=0.9 and χ21=0.4, respectively; McNemar test: P<.001 for both). However, there was no significant difference in participants' reported adherence to consistently taking medication within the same 2-hour time frame every day in the past 1 or 6 months at the end of the study compared with baseline (χ21=3.5 and χ21=0.4, respectively; McNemar test: P=.63 and P=.07, respectively). Overall feedback about usability was positive, and participants provided constructive feedback about the skill's features that could be improved. Participants' evaluation of MedBuddy's usefulness was overwhelmingly positive-most (15/23, 65%) said that they would continue using MedBuddy as a medication reminder if provided with the opportunity and that they would recommend it to others. MedBuddy features that participants enjoyed were an external prompt separate from their phone, the ability to hear the reminder prompt from a separate room, multiple reminders, and verbal responses to prompts. CONCLUSIONS: The findings of this feasibility study indicate that the MedBuddy medication reminder skill may be useful in promoting medication adherence. However, the skill could benefit from further usability enhancements.

Reducing Fall Risks Among Visually Impaired Older Adults.

Falls are the leading cause of death due to unintentional injuries in the older adult population, and fall-related death rates among older adults are escalating annually. Visual deficits are underrecognized and underdiagnosed, which increases fall risk. The purpose of this article is to provide a review of the common types of visual impairment, their etiology, and treatment and to present strategies to reduce falls among older adults with visual impairments. Both traditional home safety interventions and emerging technology-based interventions to reduce falls are described. Appropriate use of both traditional and emerging fall prevention interventions may reduce fall risk and falls among older adult home healthcare patients.