Telemedicine in monitoring pediatric LT patients before and during COVID-19 pandemic.

BACKGROUND: The delivery of healthcare services by telemedicine decreases costs of traveling for patients, is less time-consuming, and most importantly permits the connection between highly skilled specialists and patients. However, whether the use of telemedicine (text messaging) for LT patients was affected by the COVID-19 pandemic is unknown. METHODS: We collected data (following consent from patients and parents) from 57 patients (33 male/24 female) with a median age of 47 (IQR: 9-91) months, whom we followed up with text messaging between September 2019 and September 2020, spanning the 6 months prior to COVID-19 and during this period. RESULTS: In total, 723 text message mediated consultations occurred during this period, henceforth simply referred to as "messages." Three hundred and twenty-eight (45%) messages occurred during the 6 months up to the start of the pandemic. Following the COVID-19 outbreak, the number of messages increased to 395 (55%). The three most common reasons of messaging were post-liver-LT follow-up messages (n = 215/723, 29.7%), consultations for drug use (n = 157/723, 21.7%), and medication prescriptions (n = 113/723, 15.6%). Protocol biopsy discussions (n = 33/723, 4.6%) and fever (n = 27/723, 3.7%) were among others (vaccination, rash, diarrhea, cough, fatigue, acne). During the COVID-19 outbreak, only post-LT follow-up messages increased significantly to 132/395 (33%) from 83/328 (25%) (p-value: .02). CONCLUSIONS: We found that the pandemic resulted in an increase in the total number of text message mediated consultations and specifically for the use of post-LT follow-up. Messaging was effective for post-LT follow-ups and all patients were at least satisfied.

Common themes and emerging trends for the use of technology to support mental health and psychosocial well-being in limited resource settings: A review of the literature.

There are significant disparities in access to mental health care. With the burgeoning of technologies for health, digital tools have been leveraged within mental health and psychosocial support programming (eMental health). A review of the literature was conducted to understand and identify how eMental health has been used in resource-limited settings in general. PubMed, Ovid Medline and Web of Science were searched. Six-hundred and thirty full-text articles were identified and assessed for eligibility; of those, 67 articles met the inclusion criteria and were analyzed. The most common mental health use cases were for depression (n = 25) and general mental health and well-being (n = 21). Roughly one-third used a website or Internet-enabled intervention (n = 23) and nearly one-third used an SMS intervention (n = 22). Technology was applied to enhance service delivery (n = 32), behavior change communication (n = 26) and data collection (n = 8), and specifically dealt with adherence (n = 7), ecological momentary assessments (n = 7), well-being promotion (n = 5), education (n = 8), telemedicine (n = 28), machine learning (n = 5) and games (n = 2). Emerging trends identified wearables, predictive analytics, robots and virtual reality as promising areas. eMental health interventions that leverage low-tech tools can introduce, strengthen and expand mental health and psychosocial support services and can be a starting point for future, advanced tools.

Texting Older Sisters to Step: The TOSS Study.

The purpose of our two-phase study was to develop acceptable text messages to increase physical activity. Four focus groups (two for each phase) were conducted with older African American women who had access to texting-capable mobile phones and were in the contemplation stage for physical activity. The mean age of Phase 1 participants (n = 12) was 71 and ranged from 65 to 86 years. Content analysis was used to identify fundamental themes that were later used to develop text messages. Six categories emerged from the data and 31 text messages were developed based on focus group input and national recommendations. The mean age of Phase 2 participants (n = 9) was 67 and ranged from 65 to 75 years. Descriptive statistics revealed 100% of participants understood all messages. When messages were evaluated individually, a minimum of 78% felt each message motivated activity and 67% said lengths were perfect. Findings identified messages that were relevant and potentially motivational to stimulate physical activity among this population.

Never Quit Trying: Reengaging Tobacco Users in Statewide Cessation Services.

CONTEXT: Tobacco dependence is well established as a chronic condition typically requiring numerous quit attempts. Tobacco users are unlikely to return to the same cessation program on their own. OBJECTIVE: This program evaluation examined the effectiveness of using multiple outreach methods to reengage tobacco users in a statewide cessation program at varying time points after their initial program enrollment. DESIGN: Participants were randomized to receive or not receive reengagement outreach. We conducted outreach via phone, e-mail, and/or text (based on methods participants agreed to receive) at 1, 2, or 3 months post-initial engagement. Participants were offered the opportunity to reenroll in QUITPLAN Services. SETTING: Minnesota's QUITPLAN Services PARTICIPANTS:: A total of 3020 tobacco users who enrolled in Minnesota's QUITPLAN Services and either received a 2-week starter kit of nicotine replacement therapy or completed 0-1 QUITPLAN Helpline calls. MAIN OUTCOME MEASURES: We explored group differences in the odds of reengagement (defined as enrolling in a phone cessation program or selecting 2 or more of nicotine replacement therapy starter kit, text messaging, e-mail program, or print materials), contributors to reengagement, and costs. RESULTS: 14.7% in the Reengagement Outreach (RO) group and 3.4% in the Comparison (no outreach) group reengaged. The majority (71%) reengaged during phone outreach. There were no significant differences in reengagement rates by follow-up time period (1, 2, or 3 months). Cost per reengagement was $546, mostly due to one-time setup costs; scaling to 10 000 tobacco users would cost approximately $101 per reengagement. CONCLUSIONS: Conducting proactive outreach through state-funded quitlines is an effective approach to reengaging tobacco users, yielding a 5-fold greater odds of reengagement compared with no outreach. Since most costs were for initial setup, the cost per reengagement would decrease as the outreach population size increases. Such outreach has the potential to foster treatment utilization and quit attempts.

Special issue on eHealth and mHealth: Challenges and future directions for assessment, treatment, and dissemination.

This special issue is intended to promote a discussion of eHealth and mHealth and its connection with health psychology. "eHealth" generally refers to the use of information technology, including the Internet, digital gaming, virtual reality, and robotics, in the promotion, prevention, treatment, and maintenance of health. "mHealth" refers to mobile and wireless applications, including text messaging, apps, wearable devices, remote sensing, and the use of social media such as Facebook and Twitter, in the delivery of health related services. This special issue includes 11 articles that begin to address the need for more rigorous methodology, valid assessment, innovative interventions, and increased access to evidence-based programs and interventions.

Assisting persons with advanced amyotrophic lateral sclerosis in their leisure engagement and communication needs with a basic technology-aided program.

BACKGROUND: Eye-tracking communication devices and brain-computer interfaces are the two resources available to help people with advanced amyotrophic lateral sclerosis (ALS) avoid isolation and passivity. OBJECTIVE: This study was aimed at assessing a technology-aided program (i.e., a third possible resource) for five patients with advanced ALS who needed support for communication and leisure activities. METHODS: The participants were exposed to baseline and intervention conditions. The technology-aided program, which was used during the intervention, (a) included the communication and leisure options that each participant considered important for him or her (e.g., music, videos, statements/requests, and text messaging) and (b) allowed the participant to access those options with minimal responses (e.g., finger movement or eyelid closure) monitored via microswitches. RESULTS: The participants started leisure and communication engagement independently only during the intervention (i.e., when the program was used). The mean percentages of session time spent in those forms of engagement were between about 60 and 80. Preference checks and brief interviews indicated that participants and families liked the program. CONCLUSIONS: The program might be viewed as an additional approach/resource for patients with advanced ALS.

Predictors of older adults' technology use and its relationship to depressive symptoms and well-being.

OBJECTIVE: To extend the empirical evidence regarding the predictors of older adults' use of information and communications technology (ICT) and to further examine its relationship to depressive symptoms and well-being. METHOD: This cross-sectional study utilized a sample of community-dwelling older adults from the National Health and Aging Trends Study (N = 6,443). Structural equation modeling was used to estimate the effects of predictor variables on ICT use and the effects of use on depressive symptoms and well-being. Tests of moderation by demographic characteristics and level of ICT use were also performed. RESULTS: Socioeconomic status (SES), age, and cognitive function accounted for approximately 60% of the variance in ICT use. SES was a stronger predictor for Blacks/African Americans, whereas cognitive function was a stronger predictor for Whites. ICT use was unrelated to depressive symptoms or well-being. However, it acted as a moderator, such that limitations in activities of daily living (ADLs) was a stronger predictor of depressive symptoms for high ICT users, whereas ill-health was a stronger predictor for non/limited users. DISCUSSION: Findings do not support the claim that ICT use directly enhances mental health or well-being among older adults although it may protect against depressive symptoms for individuals coping with health conditions other than ADL impairments.

Access, interest, and attitudes toward electronic communication for health care among patients in the medical safety net.

BACKGROUND: Electronic and internet-based tools for patient-provider communication are becoming the standard of care, but disparities exist in their adoption among patients. The reasons for these disparities are unclear, and few studies have looked at the potential communication technologies have to benefit vulnerable patient populations. OBJECTIVE: To characterize access to, interest in, and attitudes toward internet-based communication in an ethnically, economically, and linguistically diverse group of patients from a large urban safety net clinic network. DESIGN: Observational, cross-sectional study PARTICIPANTS: Adult patients (≥ 18 years) in six resource-limited community clinics in the San Francisco Department of Public Health (SFDPH) MAIN MEASURES: Current email use, interest in communicating electronically with health care professionals, barriers to and facilitators of electronic health-related communication, and demographic data-all self-reported via survey. KEY RESULTS: Sixty percent of patients used email, 71 % were interested in using electronic communication with health care providers, and 19 % reported currently using email informally with these providers for health care. Those already using any email were more likely to express interest in using it for health matters. Most patients agreed electronic communication would improve clinic efficiency and overall communication with clinicians. CONCLUSIONS: A significant majority of safety net patients currently use email, text messaging, and the internet, and they expressed an interest in using these tools for electronic communication with their medical providers. This interest is currently unmet within safety net clinics that do not offer a patient portal or secure messaging. Tools such as email encounters and electronic patient portals should be implemented and supported to a greater extent in resource-poor settings, but this will require tailoring these tools to patients' language, literacy level, and experience with communication technology.