Gender differences in coping with long-term COVID-19 impacts among older adults.

Initial COVID-19 pandemic research suggests that during the first few weeks of the pandemic women were disproportionately impacted by restrictions compared to men. This study explored whether these gender differences in coping with pandemic restrictions were present among older adults 8-9 months into the COVID-19 pandemic. Data are based on online survey responses (n = 781) from respondents aged 60 and older. The survey was fielded from November 2 to December 4, 2020. Compared to older men, a greater proportion of older women self-reported an increase in being lonely, anxious, scared, sad, stressed, hopeless, and frustrated as compared to the beginning of the pandemic. More women reported engaging in healthy coping behaviors compared to men and self-reported more decreases in sleeping and in eating compared to the first few weeks of the pandemic. A greater proportion of older women reported a decline in physical activity since the first few weeks of the pandemic compared to older men. Self-reported changes in communication did not differ by gender, except for text messaging. More women compared to men reported that their use of text messaging increased since the initial stages of the pandemic. Results showed significant gender differences among older adults in coping with long-term COVID-19 restrictions 8-9 months into the pandemic.

"At First It Wasn't so Bad": How Adults Aged 60 and Older Feel About Social Distancing During COVID-19.

We conducted an exploratory study to describe the emotional experience of adults aged 60 and older in the United States practicing social distancing during COVID-19. The survey asked respondents how they were feeling during social distancing. Responses (n=673) were coded into segments by affect and then specific emotional states. A large portion of respondents reported negative emotions (e.g. anxiety, loneliness). A smaller portion reported positive emotions (e.g. optimism, gratitude). Younger respondents (aged 60-70) reported more feelings of anxiousness and fear compared to older respondents (71+). Older respondents were more likely to report negative feelings towards the government. For both age groups, female respondents were significantly more likely to report feeling afraid and having negative feelings about their own health. We conclude that many older adults are vulnerable to negative emotional outcomes during the pandemic. This highlights the importance of interventions targeting vulnerable older adults.

Feasibility, Acceptability, and Potential Utility of Peer-supported Ecological Momentary Assessment Among People with Serious Mental Illness: a Pilot Study.

To examine the feasibility, acceptability, and initial validity of using smartphone-based peer-supported ecological momentary assessment (EMA) as a tool to assess loneliness and functioning among adults with a serious mental illness diagnosis. Twenty-one adults with a diagnosis of a serious mental illness (i.e., schizophrenia, schizoaffective disorder, bipolar disorder, or treatment-refractory major depressive disorder) and at least one medical comorbidity (i.e., cardiovascular disease, obesity, diabetes, chronic obstructive pulmonary disease, hypertension, and/or high cholesterol) aged 18 years and older completed EMA surveys via smartphones once per day for 12-weeks. Nine peer support specialists prompted patients with SMI to complete the EMA surveys. Data were collected at baseline and 12-weeks. EMA acceptability (15.9%) was reported, and participants rated their experience with EMA methods positively. EMA responses were correlated with higher social support at 3 months. Higher levels of EMA-measured loneliness were significantly correlated with levels of social support, less hope, and less empowerment at 3 months. Lastly, those who contacted their peer specialist reported higher levels of loneliness and lower levels of functioning on that day suggesting that participants were able to use their peers for social support. Peer-supported EMA via smartphones is a feasible and acceptable data collection method among adults with SMI and appears to be a promising mobile tool to assess loneliness and functioning. These preliminary findings indicate EMA-measured loneliness and functioning are significantly predicted by baseline variables and such variables may impact engagement in EMA. EMA may contribute to future research examining the clinical utility of peer support specialists to alleviate feelings of loneliness and improve functioning.

Advancing the Science of Recovery: The Utility of the Recovery Assessment Scale in the Prediction of Self-Directed Health and Wellness Outcomes in Adults with a Diagnosis of a Serious Mental Illness.

Adults with serious mental illness commonly experience comorbid chronic physical conditions and experience a reduced life expectancy of 10-25 years compared to the general population (Saha et al. in Arch Gen Psychiatry 64(10):1123-31.  2007; Hayes et al. in Acta Psychiatr Scand 131(6):417-25. 2015; Walker et al. in JAMA Psychiatry 72(4):334-41. 2015). Dimensions of personal recovery may have real-world implications that extend beyond functional and mental health outcomes to impact the self-directed health and wellness of adults with serious mental illness. This study examined the predictive utility of the Recovery Assessment Scale with respect to medical self-efficacy, self-management, psychiatric symptoms, and community functioning for adults with serious mental illness. Data were derived from a secondary analysis of baseline and 10-month data collected from a randomized control trial with adults aged 18 years and older with a diagnosis of bipolar disorder, schizoaffective disorder, schizophrenia, or major depressive disorder (N=56). A linear regression was conducted to examine the predictive value of total baseline RAS scores on self-efficacy at 10 months while controlling for study group. This model significantly predicted self-efficacy (F (2, 53) = 13.28, p < .001) and accounted for 36.1% of the variance. Total baseline RAS scores significantly predicted self-efficacy (ß = 059, p < .001); specifically, higher baseline RAS scores were associated with greater self-efficacy. A greater degree of recovery may facilitate greater medical self-efficacy in managing chronic disease in people diagnosed with a serious mental illness. Future intervention approaches may consider recovery-focused therapeutic targets such as peer support to promote self-efficacy to manage chronic diseases in people with serious mental illness.

Loneliness and its Association with Health Behaviors in People with a Lived Experience of a Serious Mental Illness.

To explore the association between loneliness and efficacy to engage in health behaviors that are known to reduce the risk of early mortality in people with serious mental illness (SMI). This secondary data analysis was based on a cross-sectional study of 113 participants with SMI residing in New Hampshire. Ordinary Least Squares regressions were used to examine bivariate relationships between variables of interest. Participants had a primary mental health diagnosis of major depressive disorder (37.2%), schizophrenia spectrum disorder (28.3%), bipolar disorder (29.2%), or posttraumatic stress disorder (5.3%). High levels of loneliness were associated with low levels of self-efficacy to manage chronic diseases (p = 0.0001), as well as low levels of self-efficacy to manage psychological well-being (R2 = .31; F = 9.49, p = 0.0001; RMSE = 1.66). Loneliness may serve as a barrier to healthy behaviors, and thus, contribute to early mortality among people with SMI. The growing body of literature that demonstrates the importance of addressing loneliness in people with SMI should stimulate policymakers and researchers to target loneliness as a mechanism to address early mortality in people with SMI.

Visioning the Future of Gerontological Digital Social Work.

Gerontological Social Work education has been substantially altered by the advancement of today's digital technologies, influencing both the training and tools required to ensure student success in social work research, policy, and practice. The goal of this paper is to present the state of the science on gerontological digital social work education, identify implications for emerging technologies, and define areas for social work student competencies and proficiencies to advance the field of gerontological digital social work. This paper underlines the role of gerontological digital social work education in preparing future researchers, practitioners, and policymakers when engaging in Digital Therapeutic Teams. We provide insightful considerations pertaining to emerging technologies which present unique opportunities for innovation. Furthermore, this paper presents training and education opportunities for social work education in preparing future gerontologist practitioners, researchers, and policymakers to engage in multidisciplinary team efforts and leverage digital technologies and digital therapeutics.

Performance Evaluation of Energy-Autonomous Sensors Using Power-Harvesting Beacons for Environmental Monitoring in Internet of Things (IoT).

Environmental conditions and air quality monitoring have become crucial today due to the undeniable changes of the climate and accelerated urbanization. To efficiently monitor environmental parameters such as temperature, humidity, and the levels of pollutants, such as fine particulate matter (PM2.5) and volatile organic compounds (VOCs) in the air, and to collect data covering vast geographical areas, the development of cheap energy-autonomous sensors for large scale deployment and fine-grained data acquisition is required. Rapid advances in electronics and communication technologies along with the emergence of paradigms such as Cyber-Physical Systems (CPSs) and the Internet of Things (IoT) have led to the development of low-cost sensor devices that can operate unattended for long periods of time and communicate using wired or wireless connections through the Internet. We investigate the energy efficiency of an environmental monitoring system based on Bluetooth Low Energy (BLE) beacons that operate in the IoT environment. The beacons developed measure the temperature, the relative humidity, the light intensity, and the CO2 and VOC levels in the air. Based on our analysis we have developed efficient sleep scheduling algorithms that allow the sensor nodes developed to operate autonomously without requiring the replacement of the power supply. The experimental results show that low-power sensors communicating using BLE technology can operate autonomously (from the energy perspective) in applications that monitor the environment or the air quality in indoor or outdoor settings.

Developing a Framework for Digital Activities of Daily Living.

The emergence of digital technologies has shown a promising potential to enhance access to goods, services, and resources. Digital technologies and interfaces differ from mechanical and analog electronic technologies as they often require internet access and are dependent on a set of activities or actions for the user to successfully implement them in their day-to-day life. We describe this set of activities as digital activities of daily living (DADLs). Much like activities of daily living, instrumental activities of daily living, and enhanced activities of living, DADLs are critical to supporting well-being and healthy aging. For example, the digitalization of tasks such as health insurance (e.g., creating a Medicare account) or banking (e.g., making a utility payment via a web portal) are all DADLs. With a growing dependence on digital technologies to participate in day-to-day life, disparities in individuals' ability to competently complete DADLs present major concerns for independence, quality of life, safety, and well-being. We developed a framework for understanding DADLs and their implication for daily life. Furthermore, we provide a guide for the development of interventions and outline implications for research, practice, and policy.

Best practices for implementing a technology-based intervention protocol: Participant and researcher considerations.

Technology-based interventions present a promising approach to support health and wellness for older adults with a range of cognitive abilities. Technology can enhance access to interventions and support scaling of programs to reach more people. However, the use of technology for intervention delivery requires particular attention to users' needs and preferences and ensuring the materials are adaptable and supportive of a diverse range of technology proficiency levels. We share best practices based on lessons learned from the deployment of a randomized controlled trial (RCT) wherein we delivered an 8-week social engagement intervention through a video technology platform called OneClick for older adults with varying cognitive abilities. We developed a set of best practices and guidelines informed by the lessons learned through this RCT implementation. Technology-based interventions require attention to the application (e.g., video calls), system requirements (e.g., system memory, broadband internet), training (e.g., adaptability based on user competency), and support (e.g., handouts, live contact). These best practices relate to user needs; training design; personnel responsibility; structuring delivery and content; and evaluating success. These research-based best practices can guide the design, development, and implementation of technology-based interventions to support older adults with varying cognitive abilities.

Methods and baseline characteristics for a social engagement technology-based randomized controlled trial for older adults.

Background: Growing evidence suggests that increasing opportunities for social engagement has the potential to support successful aging. However, many older adults may have limited access to in-person social engagement opportunities due to barriers such as transportation. We outline the development, design, methodology, and baseline characteristics of a randomized controlled trial that assessed the benefits of a social engagement intervention delivered through the OneClick video conferencing platform to older adults with varying levels of cognitive functioning. Methods: Community-dwelling older adults with and without cognitive challenges were randomly assigned to a social engagement intervention group or a waitlist control group. Participants were asked to attend twice-weekly social engagement events for 8 weeks via OneClick. Outcomes included social engagement and technology acceptance for both groups at baseline, week-4, and week-8 assessments. As an extension, the waitlist control group had an opportunity to participate in the intervention, with outcomes assessed at weeks 12 and 16. Results: We randomly assigned 99 participants (mean age = 74.1 ± 6.7, range: 60-99), with 50 in the immediate intervention group and 49 in the waitlist control group. About half of the participants reported living alone (53.5%), with a third (31%) falling into the cognitively impaired range on global cognitive screening. The groups did not differ at baseline on any of the outcome measures. Conclusions: Outcomes from this study will provide important information regarding the feasibility and efficacy of providing technology-based social engagement interventions to older adults with a range of cognitive abilities.

Introduction to the Coproduction of Supervision Standards for Digital Peer Support: Qualitative Study.

BACKGROUND: Digital peer support enhances engagement in mental and physical health services despite barriers such as location, transportation, and other accessibility constraints. Digital peer support involves live or automated peer support services delivered through technology media such as peer-to-peer networks, smartphone apps, and asynchronous and synchronous technologies. Supervision standards for digital peer support can determine important administrative, educative, and supportive guidelines for supervisors to maintain the practice of competent digital peer support, develop knowledgeable and skilled digital peer support specialists, clarify the role and responsibility of digital peer support specialists, and support specialists in both an emotional and developmental capacity. OBJECTIVE: Although digital peer support has expanded recently, there are no formal digital supervision standards. The aim of this study is to inform the development of supervision standards for digital peer support and introduce guidelines that supervisors can use to support, guide, and develop competencies in digital peer support specialists. METHODS: Peer support specialists that currently offer digital peer support services were recruited via an international email listserv of 1500 peer support specialists. Four 1-hour focus groups, with a total of 59 participants, took place in October 2020. Researchers used Rapid and Rigorous Qualitative Data Analysis methods. Researchers presented data transcripts to focus group participants for feedback and to determine if the researcher's interpretation of the data match their intended meanings. RESULTS: We identified 51 codes and 11 themes related to the development of supervision standards for digital peer support. Themes included (1) education on technology competency (43/197, 21.8%), (2) education on privacy, security, and confidentiality in digital devices and platforms (33/197, 16.8%), (3) education on peer support competencies and how they relate to digital peer support (25/197, 12.7%), (4) administrative guidelines (21/197, 10.7%), (5) education on the digital delivery of peer support (18/197, 9.1%), (6) education on technology access (17/197, 8.6%), (7) supervisor support of work-life balance (17/197, 8.6%), (8) emotional support (9/197, 4.6%), (9) administrative documentation (6/197, 3%), (10) education on suicide and crisis intervention (5/197, 2.5%), and (11) feedback (3/197, 1.5%). CONCLUSIONS: Currently, supervision standards from the Substance Abuse and Mental Health Services Administration (SAMHSA) for in-person peer support include administrative, educative, and supportive functions. However, digital peer support has necessitated supervision standard subthemes such as education on technology and privacy, support of work-life balance, and emotional support. Lack of digital supervision standards may lead to a breach in ethics and confidentiality, workforce stress, loss of productivity, loss of boundaries, and ineffectively serving users who participate in digital peer support services. Digital peer support specialists require specific knowledge and skills to communicate with service users and deliver peer support effectively, while supervisors require new knowledge and skills to effectively develop, support, and manage the digital peer support role.

Guidelines to Establish an Equitable Mobile Health Ecosystem.

Mobile health (mHealth)-that is, use of mobile devices, such as mobile phones, monitoring devices, personal digital assistants, and other wireless devices, in medical care-is a promising approach to the provision of support services. mHealth may aid in facilitating monitoring of mental health conditions, offering peer support, providing psychoeducation (i.e., information about mental health conditions), and delivering evidence-based practices. However, some groups may fail to benefit from mHealth despite a high need for mental health services, including people from racially and ethnically disadvantaged groups, rural residents, individuals who are socioeconomically disadvantaged, and people with disabilities. A well-designed mHealth ecosystem that considers multiple elements of design, development, and implementation can afford disadvantaged populations the opportunity to address inequities and facilitate access to and uptake of mHealth. This article proposes inclusion of the following principles and standards in the development of an mHealth ecosystem of equity: use a human-centered design, reduce bias in machine-learning analytical techniques, promote inclusivity via mHealth design features, facilitate informed decision making in technology selection, embrace adaptive technology, promote digital literacy through mHealth by teaching patients how to use the technology, and facilitate access to mHealth to improve health outcomes.

Risk and protective factors in relation to early mortality among people with serious mental illness: Perspectives of peer support specialists and service users.

OBJECTIVE: Individuals with serious mental illness (SMI) experience a 10-25-year reduced life expectancy when compared to the general population that is due, in part, to poor health behaviors. Yet, in spite of the development of health promotion and self-management interventions designed for people with SMI to promote health behavior change, the mortality gap has increased, suggesting that relevant factors are not being addressed. The objective of the present study was to explore potential contributors to early mortality among individuals with SMI by drawing from the lived experience of certified peer support specialists and service users (SUs). METHOD: Face-to-face semistructured interviews were conducted with a convenience sample of SU participants (n = 17) and certified peer specialists (n = 15). Qualitative data were analyzed using a grounded-theory approach. RESULTS: We identified a final set of 27 codes relating to five overarching themes that relate to both risk factors and protective factors for early death: social connectedness (24.1% of coded items), treatment (21.3%), coping (21.3%), physical health and wellness (18.5%), and resilience and mental health (14.8%). CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Findings add to the literature supporting the powerful role of social processes in shaping health in people with SMI beyond social determinants of health (SDOH; e.g., income, employment) and health behavior change. Interventions that reduce loneliness and isolation in combination with addressing more conventional SDOH may have the most potential to reduce early mortality in people with SMI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Social Processes Associated With Health and Health Behaviors Linked to Early Mortality in People With a Diagnosis of a Serious Mental Illness.

Individuals with serious mental illness (SMI) experience a 10- to 25-year reduced life expectancy compared with the general population. Early mortality for people with SMI has mainly been attributed to unhealthy behaviors (e.g., poor diet, sedentary lifestyle), which has led to the development of health promotion and self-management interventions specifically for people with SMI to promote health behavior change. Yet after decades of research, the mortality gap between people with SMI and the general population is increasing. To address this early mortality disparity for individuals with SMI, a new paradigm must be explored. In this article, we present the social processes impacting early mortality in people with SMI paradigm, which highlights the powerful role of social processes in shaping the health and health behaviors of people with SMI. This paradigm explores how loneliness, stigma (social and self), trauma, social exclusion, social isolation, and social norms are related to early mortality in people with SMI. This new paradigm is an important step in understanding and potentially addressing early mortality in people with SMI.

Robot-Led Piano Lessons May Improve Cognitive Function: A Feasibility Study in a Sample with Mild Cognitive Impairment.

Cognitive training has been shown to increase neural plasticity and cognitive reserve, potentially reducing the risk of developing dementia. Music learning, specifically piano playing, has been shown to be an effective form of multimodal cognitive training. This pilot study explored the feasibility and efficacy of using a socially assistive robot to provide a piano learning cognitive training intervention to older adults with mild cognitive impairment. Participants (N=11) engaged in a four-week feasibility study, which included a one-hour piano lesson per week led by a remotely controlled robot. Participants experienced improved cognitive function in the verbal memory (p=0.04), executive function (p=0.01), reaction time (p=0.04), and cognitive flexibility (p=0.003) domains, as well as in the calculated neurocognitive index score (p=0.03). Socially assistive robots may have the potential to provide cognitive training in the form of piano lessons for older adults with mild cognitive impairment, especially adults who cannot access traditional services.

Core Competencies to Promote Consistency and Standardization of Best Practices for Digital Peer Support: Focus Group Study.

BACKGROUND: As digital peer support is quickly expanding across the globe in the wake of the COVID-19 pandemic, standardization in the training and delivery of digital peer support can advance the professionalism of this field. While telehealth competencies exist for other fields of mental health practice, such as social work, psychiatry, and psychology, limited research has been done to develop and promote digital peer support competencies. OBJECTIVE: The goal of this study is to introduce the coproduction of core competencies that can guide digital peer support. METHODS: Peer support specialists were recruited through an international listserv and participated in a 1-hour virtual focus group. A total of four focus groups were conducted with 59 peer support specialists from 11 US states and three countries. RESULTS: Analysis was conducted using the rigorous and accelerated data reduction (RADaR) technique, and 10 themes were identified: (1) protecting the rights of service users, (2) technical knowledge and skills in the practice of digital peer support, (3) available technologies, (4) equity of access, (5) digital communication skills, (6) performance-based training, (7) self-care, (8) monitoring digital peer support and addressing digital crisis, (9) peer support competencies, and (10) health literacy (emerging). The authors present recommendations based on these themes. CONCLUSIONS: The introduction of digital peer support core competencies is an initial first step to promote the standardization of best practices in digital peer support. The established competencies can potentially act as a guide for training and skill development to be integrated into US state peer support specialist competencies and to enhance competencies endorsed by the Substance Abuse and Mental Health Services Administration (SAMHSA).

Peer and Non-Peer Academic Scientists and Peer Support Specialist Community of Practice: Stakeholder Engagement to Advance the Science of Peer Support.

Community of Practice, a community-engagement method that encourages a group of people to interact regularly towards a common goal, may promote satisfying experiences in patient-outcomes research among marginalized populations. Peer support specialists are increasingly being involved in peer-informed mental health research due to their lived experiences of mental illness and are an asset in co-designing healthcare programs along with researchers. In 2015, ten scientists and ten mental health service users joined as a Community of Practice that trained to engage in patient-centered outcomes research. The group has so far has presented at 20 conferences, published three book chapters and 30 peer-reviewed publications, and developed two smartphone applications. Of note are the co-production of a smartphone application, a digital peer support certification program, an app decision support tool, and an instrument to assess the value of patient-research partnerships. Future research will assess the feasibility of incorporating more stakeholders to enhance research outcomes.

The Role of Healthcare Robotics in Providing Support to Older Adults: a Socio-ecological Perspective.

PURPOSE OF REVIEW: In this review, we provide an overview of how healthcare robotics can facilitate healthy aging, with an emphasis on physical, cognitive, and social supports. We next provide a synthesis of future challenges and considerations in the development and application of healthcare robots. We organize these considerations using a socio-ecological perspective and discuss considerations at the individual, care partner, community healthcare, and healthcare policy levels. RECENT FINDINGS: Older adults are the fastest growing segment of the US population. Age-related changes and challenges can present difficulties, for older adults want to age healthily and maintain independence. Technology, specifically healthcare robots, has potential to provide health supports to older adults. These supports span widely across the physical, cognitive, and social aspects of healthy aging. SUMMARY: Our review suggests that while healthcare robotics has potential to revolutionize the way in which older adults manage their health, there are many challenges such as clinical effectiveness, technology acceptance, health informatics, and healthcare policy and ethics. Addressing these challenges at all levels of the healthcare system will help ensure that healthcare robotics promote healthy aging and are applied safely, effectively, and reliably.

Strategies to Increase Peer Support Specialists' Capacity to Use Digital Technology in the Era of COVID-19: Pre-Post Study.

BACKGROUND: Prior to the outbreak of coronavirus disease (COVID-19), telemental health to support mental health services was primarily designed for individuals with professional clinical degrees, such as psychologists, psychiatrists, registered nurses, and licensed clinical social workers. For the first the time in history, peer support specialists are offering Medicaid-reimbursable telemental health services during the COVID-19 crisis; however, little effort has been made to train peer support specialists on telehealth practice and delivery. OBJECTIVE: The aim of this study was to explore the impact of the Digital Peer Support Certification on peer support specialists' capacity to use digital peer support technology. METHODS: The Digital Peer Support Certification was co-produced with peer support specialists and included an education and simulation training session, synchronous and asynchronous support services, and audit and feedback. Participants included 9 certified peer support specialists between the ages of 25 and 54 years (mean 39 years) who were employed as peer support specialists for 1 to 11 years (mean 4.25 years) and had access to a work-funded smartphone device and data plan. A pre-post design was implemented to examine the impact of the Digital Peer Support Certification on peer support specialists' capacity to use technology over a 3-month timeframe. Data were collected at baseline, 1 month, 2 months, and 3 months. RESULTS: Overall, an upward trend in peer support specialists' capacity to offer digital peer support occurred during the 3-month certification period. CONCLUSIONS: The Digital Peer Support Certification shows promising evidence of increasing the capacity of peer support specialists to use specific digital peer support technology features. Our findings also highlighted that this capacity was less likely to increase with training alone and that a combinational knowledge translation approach that includes both training and management will be more successful.

A Focus Group Evaluation of Breathe Easier: A Mindfulness-Based mHealth App for Survivors of Lung Cancer and Their Family Members.

PURPOSE: To explore attitudes and acceptance (i.e., intent for future adoption) of survivors of lung cancer and their family members toward a dyad-focused mHealth mindfulness-based intervention (MBI). APPROACH: Focus groups. SETTING: Community hospital setting in South Carolina. PARTICIPANTS: Survivors n = 11 (M = 64.6 years; 73% female; 64% African American) of non-small cell lung cancer (stage I-IIIa) and their family members, n = 8 (M = 58.6 years; 38% female; 75% African American). INTERVENTION: A fully functional prototype mHealth app to deliver a tailored MBI for survivors of lung cancer and their family members. METHOD: Semi-structured focus groups were conducted and assessed using thematic data analysis to identify the benefits, concerns, needs, and expectations of the app. RESULTS: Convenience and health were the top benefits of using the app, while cost and difficulty of use were the top concerns. Survivors mentioned benefits more than their family members did. Participants felt positively about adding a community network to the app. Finally, participants expected to hear about Breathe Easier from their care provider. CONCLUSION: Participants perceived a benefit to having credible health information delivered through an mHealth app. Guidance and credible health information regarding lung cancer survivorship should be accessible and convenient for everyone impacted by the disease. Thus, future research should explore platforms for a virtual support system and understanding dissemination of mHealth apps through health care providers.