Health Impacts of the Stay-at-Home Order on Community-Dwelling Older Adults and How Technologies May Help: Focus Group Study

Predicting and comparing the long-term impact of lifestyle interventions on individuals with eating disorders in active population: a machine learning evaluation

Objective

This study aims to evaluate and predict the long-term effectiveness of five lifestyle interventions for individuals with eating disorders using machine learning techniques.

Methods

This study, conducted at Dr. Irandoust's Health Center at Qazvin from August 2021 to August 2023, aimed to evaluate the effects of five lifestyle interventions on individuals with eating disorders, initially diagnosed using The Eating Disorder Diagnostic Scale (EDDS). The interventions were: (1) Counseling, exercise, and dietary regime, (2) Aerobic exercises with dietary regime, (3) Walking and dietary regime, (4) Exercise with a flexible diet, and (5) Exercises through online programs and applications. Out of 955 enrolled participants, 706 completed the study, which measured Body Fat Percentage (BFP), Waist-Hip Ratio (WHR), Fasting Blood Sugar (FBS), Low-Density Lipoprotein (LDL) Cholesterol, Total Cholesterol (CHO), Weight, and Triglycerides (TG) at baseline, during, and at the end of the intervention. Random Forest and Gradient Boosting Regressors, following feature engineering, were used to analyze the data, focusing on the interventions' long-term effectiveness on health outcomes related to eating disorders.

Results

Feature engineering with Random Forest and Gradient Boosting Regressors, respectively, reached an accuracy of 85 and 89%, then 89 and 90% after dataset balancing. The interventions were ranked based on predicted effectiveness: counseling with exercise and dietary regime, aerobic exercises with dietary regime, walking with dietary regime, exercise with a flexible diet, and exercises through online programs.

Conclusion

The results show that Machine Learning (ML) models effectively predicted the long-term effectiveness of lifestyle interventions. The current study suggests a significant potential for tailored health strategies. This emphasizes the most effective interventions for individuals with eating disorders. According to the results, it can also be suggested to expand demographics and geographic locations of participants, longer study duration, exploring advanced machine learning techniques, and including psychological and social adherence factors. Ultimately, these results can guide healthcare providers and policymakers in creating targeted lifestyle intervention strategies, emphasizing personalized health plans, and leveraging machine learning for predictive healthcare solutions.

Understanding the Experiences of COVID-19 Public Health Measures and Well-Being: A Qualitative Study Among Older Adults in Quebec, Canada

This interpretative descriptive study explores how public health measures implemented during the first wave of the COVID-19 pandemic in Quebec, Canada, affected the well-being of older adults. Twenty-six participants aged 60-81 took photographs to depict how COVID-19 public health measures affected their well-being and were invited to discuss their photographs in virtual focus groups. Data were analyzed using thematic analysis. The impacts of health measures on the well-being of participants were framed according to three overarching themes. First, participants endured an intensification of ageism, feeling diminished and excluded from their social spheres. Second, they faced a burden of loneliness due to the loss of connections with their communities, particularly for those who were single and without children. Third, participants highlighted navigating a degradation of social cohesion. This manifested through tensions and distrust in both the public and private spheres, as well as acts of resistance in response to rules deemed unjust. While public health measures were essential to prevent onward transmission of COVID-19 and mortality, they negatively impacted older adults' self-image, loneliness, and trust in society. This study argues for a rethinking of public health norms specific to older adults to address potential sources of inequality. In particular, a greater emphasis is needed on social connectedness and addressing the unique needs of older adults during pandemics.

Digital Literacy Training for Low-Income Older Adults Through Undergraduate Community-Engaged Learning: Single-Group Pretest-Posttest Study

BACKGROUND

Digital technology is a social determinant of health that affects older people's ability to engage in health maintenance and disease prevention activities; connect with family and friends; and, more generally, age in place. Unfortunately, disparities in technology adoption and use exist among older adults compared with other age groups and are even greater among low-income older adults.

OBJECTIVE

In this study, we described the development and implementation of a digital literacy training program designed with the dual goals of training low-income older adults in the community and teaching students about aging using a community-engaged learning (CEL) approach.

METHODS

The training program was embedded within a 10-week CEL course that paired undergraduates (N=27) with low-income older adults (n=18) for 8 weeks of digital literacy training. Older adults and students met weekly at the local senior center for the training. Students also met in the classroom weekly to learn about aging and how to use design thinking to train their older adult trainees. Both older adults and students completed pre- and posttraining surveys.

RESULTS

Older adults demonstrated increased digital literacy skills and confidence in the use of digital technology. Loneliness did not change from pre to postassessment measurements; however, older adults showed improvements in their attitudes toward their own aging and expressed enthusiasm for the training program. Although students' fear of older adults did not change, their comfort in working with older adults increased. Importantly, older adults and students expressed positive feelings about the trainee-trainer relationship that they formed during the training program.

CONCLUSIONS

A CEL approach that brings together students and low-income older adults in the community has a strong potential to reduce the digital divide experienced by underserved older adults. Additional work is needed to explore the efficacy and scalability of this approach in terms of older adults' digital literacy as well as other potential benefits to both older and younger adults.

Training to use smart tablets to access reliable online health information in older adults' post-pandemic: A focused pilot intervention study

BACKGROUND

Older adults are becoming more accepting and interested in using digital technologies, but difficulties and barriers remain for accessing reliable health-related information. The purpose of this focused pilot intervention study was to: (1) understand older adults' firsthand experiences and challenges while using smart tablets post-COVID-19 pandemic, and (2) gather suggestions for age-appropriate training materials, preference of training materials, and resources to access reliable online health information.

METHODS

A focused pilot intervention study that involved training older adults to use smart tablets followed by focus group of a convenience sample of 13 older adults (65-85 years old; 91.6% female) on their experiences of using smart tablets.

RESULTS

Thematic analysis revealed three themes: tablets are convenient to access online information and older adults reported technical, security concerns, emotional and cognitive challenges regarding use of smart tablets. Older adults also requested one-on-one support, assistance, and topic specific learning for future training sessions.

CONCLUSIONS

Future studies should focus on providing detailed, clear instructions at an acceptable pace for older adults.

Older people's connectedness with people in the community in contemporary contexts: A concept analysis

AIM

This study aimed to clarify the concept of older people's connectedness with people in the community within the literature.

METHODS

This study was based on Walker and Avant's concept analysis method. We used PubMed, MEDLINE, CINAHL, and Web of Science databases and included peer-reviewed articles that were published in English between January 2010 and April 2023. After assessing eligibility and applying exclusion criteria, 25 articles were analyzed.

RESULTS

Attributes included sense of belonging to the community achieved through interactions and feeling of togetherness through interrelationships, which consequently led to the maintenance of healthy physical and mental states and independent living, the acquisition of the ability to overcome difficulties, and the creation of a sense of meaning in life through coexistence.

CONCLUSION

We identified the concept of older people's connectedness with people in the community in a contemporary context. Connectedness is a useful concept to consider in nursing care because it seems to evolve into comprehensive health, including the physical and psychosocial health of older adults.

Understanding the mental health impact of COVID-19 in the elderly general population: A scoping review of global literature from the first year of the pandemic

Self-isolation was common in the first year of COVID-19. While necessary, it also increased vulnerability to adverse mental health among elderly (i.e. aged 60 and above). This review seeks to summarise the outcomes, measures, and protective and risk factors of elderly mental health in the first year of COVID-19. Four international databases were systematically searched from inception to August 2021. Forty-five studies examining elderly mental health outcomes specific to COVID-19 were included - one was qualitative, 29 used cross-sectional quantitative methods, and 15 were longitudinal. Anxiety and depression were examined most commonly and consistently, largely with well-validated scales. Older age, female sex, poor financial status, being unmarried, high loneliness, low social engagement, low resilience and more severe pandemic measures were associated with poor elderly mental health outcomes. Ten of 13 longitudinal studies found deteriorations in elderly mental health outcomes over time. More consistent measures are needed to understand the pandemic's impact on elderly mental health. Our findings also suggest that socialising through digital mediums may not be helpful, and might even exacerbate loneliness. While the elderly are generally considered a high-risk population, higher-risk subpopulations were identified. We conclude by suggesting a multilevel approach to safeguard elderly mental health for future crises.

Use and Acceptance of Digital Communication Technology by Older Adults for Social Connectedness During the COVID-19 Pandemic: Mixed Methods Study

BACKGROUND

Older adults are at higher risk for health issues, including mental health problems. This was especially apparent during the COVID-19 pandemic, where older adults were simultaneously more vulnerable to the disease and the mental health concerns created by social distancing. Subsequently, the use of digital communication technology (DCT) became a critical option for maintaining social connectedness in older adults. Prior to the pandemic, the low uptake and use of technology by older adults was an established problem, known as the digital divide. However, not much is known about how this may have changed as a result of the pandemic.

OBJECTIVE

This study aims to explore how older adults maintained social connectedness through DCT during the pandemic and to understand factors influencing the use and acceptance of DCT.

METHODS

A mixed methods explorative field study was set up, involving surveys and interviews of 25 community-dwelling older adults (65-88 years old) living in the United Kingdom. The surveys included the internet acceptance questionnaire (based on the Technology Acceptance Model [TAM]); COVID-19 dysfunctional anxiety was captured using the COVID-19 Anxiety Scale (CAS). Background information (demographics, use of technology) was gathered before conducting semistructured interviews. We hypothesized that CAS would affect constructs of TAM and that predictive constructs of TAM would have remained valid during the pandemic. We also posited that there would be unidentified themes outside TAM that impacted the acceptance and use of DCT. We used the quantitative data to guide the semistructured interviews, which were then analyzed through thematic analysis to identify additional themes.

RESULTS

Correlational analysis showed that CAS influences all constructs of TAM. We also saw that the predictive constructs of TAM, especially the perceived ease of use (PEU) and perceived usefulness (PU), remained valid during the pandemic. Common acceptance-influencing themes were encountered in both quantitative and qualitative analyses, with 3 matching the known constructs of TAM (PU, PEU, and behavioral intention). We identified 2 additional themes affecting acceptance, namely influence of the pandemic (situational context) and privacy and security concerns. DCT use (especially email and videoconferencing use) increased during the pandemic, but the results related to social networking sites were mixed.

CONCLUSIONS

The COVID-19 pandemic impacted technology acceptance and use by older adults, encouraging their use of certain DCT apps (email and videoconferencing apps, such as WhatsApp). These apps helped insulate them from adverse effects (social isolation and loneliness). Other social networking apps, however, exerted a negative influence, increasing anxiety and a general feeling of negativity. Future studies should maximize older adult agency related to design, privacy, security, and user requirements for development. We also recommend that when studying DCT acceptance for older adults, our additional identified themes should be considered alongside the existing TAM constructs.

Health Support for At-Risk Older Adults during COVID-19

Older adults are highly susceptible to COVID-19 infection and at the highest risk for severe disease and death. Yet, older adults lacked access to accurate and easy-to-use COVID-19 information and support early in the pandemic. This prospective, experimental cohort study sought to examine whether older adults could be engaged during the pandemic through a community partner and if a low-touch intervention, designed with health literacy best practices, could positively impact COVID-19 knowledge, mitigation behaviors, telehealth/doctor visits, exercise, and loneliness. A senior resource kit was distributed to older adults sheltering at home through food assistance program agents from October 2020 to February 2021; the kit was developed using health literacy best practices. Simple random assignment was used to divide program participants into treatment and control groups. Both groups received senior kits, but the treatment group also received telephonic health coaching. The primary outcome was COVID-19 knowledge and mitigation behaviors as derived from self-reported surveys at baseline and after four months. Secondary outcomes included a telehealth or doctor visit, exercise frequency, and a loneliness score (3-Item Loneliness Scale). Health literacy was assessed using the BRIEF screening tool. Ninety-eight older adults consented to participate in the study and 87 completed the study (88.7% completion rate). Participants had moderate clinical risk, one-third preferred the Spanish language, and 52% were categorized as having inadequate or marginal health literacy. Significant changes were found for increasing COVID-19 mitigation behaviors and the frequency of exercise across the cohort, but not for COVID-19 knowledge, telehealth visits, or decreasing loneliness. Conclusions: Partnering with a trusted entity in the community is a feasible and important strategy to reach older adults during a lockdown and provide them with easy-to-read health information and resources. If the time horizon had been longer, improvements in other outcome variables may have been achieved.

Evaluating Mobile Apps Targeting Older Adults: Descriptive Study

BACKGROUND

Smartphone use has increased dramatically and, in parallel, a market for mobile apps, including health apps, has emerged. The business model of targeted mobile app advertisements allows for the collection of personal and potentially sensitive information, often without user knowledge. Older adults comprise a rapidly growing demographic that is potentially vulnerable to exploitation by those accessing data collected via these apps.

OBJECTIVE

This research examined apps that claimed to be useful to older adults with a goal of (1) classifying the functionality of each app, (2) identifying whether a privacy policy existed and was accessible, and (3) evaluating evidence that could support claims of value to older adults.

METHODS

An environmental scan was conducted using the Google search engine and typing "apps for older adults." The first 25 sites that this search returned comprised the primary data for this study. Data were organized by descriptive features of purpose (eg, health, finance, and utility), the existence of an electronically accessible privacy policy, price, and evidence supporting each recommended mobile app.

RESULTS

A total of 133 mobile apps were identified and promoted as being the best "apps for older adults." Of these 133 mobile apps, 83% (n=110) included a privacy policy. Fewer apps designated in the "medical" category included a privacy policy than those classified otherwise.

CONCLUSIONS

The results suggest that most mobile apps targeting older adults include a privacy policy. Research is needed to determine whether these privacy policies are readable, succinct, and incorporate accessible data use and sharing practices to mitigate potential risks, particularly when collecting potentially sensitive health information.

Impact of technology on social isolation: Longitudinal analysis from the National Health Aging Trends Study

BACKGROUND

Social isolation is a key public health concern and has been associated with numerous negative health consequences. Technology is increasingly thought of as a solution to address social isolation. This study examines the longitudinal association between the access and use of technology and social isolation in older adults 65 and older, living in the United States.

METHODS

This observational cohort study included community-dwelling older adults (N = 6704) who participated in the National Health and Aging Trends Study. Regression analyses were conducted using data from 2015 to 2019. Information about technology access and use was ascertained using self-reported questionnaires. The primary outcome was the risk of social isolation.

RESULTS

At baseline, the majority of older adults that were not socially isolated had a working cell phone (88%) or computer (71%) and used email or text messaging (56%). Older adults that had access to (cell phone- incidence rate ratio [IRR] 0.62 [95% CI 0.48-0.81]; computer- IRR 0.63 [95% CI 0.51-0.78]), and used technology (email or text messaging- IRR 0.64 [95% CI 0.51-0.80]) in the year prior had a lower risk of social isolation than older adults who reported they did not access or use technology. Additionally, over four years, older adults who reported that they had access to a computer had a lower risk (0.69 [0.57, 0.84]) for social isolation than their counterparts.

CONCLUSION

In this cohort study, technology access was associated with a lower risk for social isolation among community-dwelling older adults. These findings suggest that technology has an important role in approaches that seek to prevent social isolation among older adults.

Effects of a 'social activity program that encourages interaction' on rural older people's psychosocial health: Mixed-methods research

BACKGROUND

We developed a program that encourages interaction among older people living at home by combining face-to-face and online activities and examined its effects on older adults' psychosocial health.

METHODS

In this mixed-methods study, we recruited 11 women and 6 men (Mage = 79.5 ± 6.4 years), who lived in a rural community and participated in a senior citizen club. The intervention was conducted for 13 months, comprising monthly face-to-face group and social media activities. For the program process evaluation, we collected focus-group interview data on participants' perceptions of their personal lives, club membership, and community post-intervention. For the outcome evaluation, we collected six outcome measures pre- and post-intervention: loneliness, subjective health, subjective well-being, self-esteem, social support and social activity satisfaction. Finally, through the integration of the process-outcome evaluation, we inferred what effects the program had on participants' psychosocial health.

RESULTS

In the process evaluation, we identified four themes: 'Stimulation brought about by relationships with peers,' 'Realization as to where they feel they belong,' 'Rethinking of oneself in the community,' and 'Awareness of attachment to and coexistence with the community.' In the outcome evaluation, the outcome measures were maintained without significant decline post-intervention.

CONCLUSION

Through the integration of the process-outcome evaluation, we deduced three effects of the program on psychosocial health: (1) fulfilment of subjective health, (2) maintenance and assurance of moderate distance connectedness and (3) orientation toward aging in place.

IMPLICATIONS FOR PRACTICE

This study offers a promising opportunity for further development and research into community-based preventive nursing care intervention strategies to maintain the psychosocial health of homebound older people in communities with social activity groups.

Exploring what matters to residents of Australian aged care facilities with the Happy Life Index: comparison of qualitative responses between pre- and mid-Covid-19 pandemic time points

PURPOSE

This study analysed data from a national survey of people living in Australian Residential Aged Care Facilities (RACFs) reporting on what is the best thing about where they live and suggestions for improvement. Data from prior to the Covid-19 pandemic were compared with data during the Covid-19 pandemic.

METHODS

Qualitative data from the Happy Life Index Survey were analysed using summative content analysis to code the responses in the data sets and then organise them into categories. Once categorised, the pre-Covid-19 and mid-Covid-19 data sets were compared using descriptive statistics.

RESULTS

A total of 4745 residents, from over 100 RACFs, provided 8512 open-text responses to at least one of the two survey questions. Pre-Covid-19 responses were compared with mid-Covid-19 responses and those trending towards relevance (5-10% change) were identified. There were both positive and negative relevant percent changes for staff number, food (general comments), and friendliness. A trending positive percentage change was observed for staff quality and the internal environment. There was a trending negative relevant percentage change for lifestyle activities, staff generally, level of contentedness, the general environment, general choice, and general views about the service.

CONCLUSION

People living in RACFs notice the changes in staffing levels and visitors during restrictions imposed during infectious outbreaks. During these times, they appreciate the quality of the staff attending to their needs and the quality of their food. Further exploration is needed of the value of lifestyle activities and strategies to promote feelings of contentedness and general wellbeing during times of restriction.

Changes in Community-Dwelling Elderly's Activity and Participation Affecting Depression during COVID-19 Pandemic: A Cross-Sectional Study

We determined the changes in the activity or participation of the community-dwelling elderly in Japan during the COVID-19 pandemic and identified the activities leading to depression. This will allow us to evaluate rehabilitation interventions that can be used to minimize or eliminate the negative impact of COVID-19 on today's community-dwelling elderly. Herein, demographics, activity or participation (Activity Card Sort-Japan version: ACS-JPN), the number of social networks (Lubben Social Network Scale: LSNS), and depression (Geriatric Depression Scale: GDS) were examined in 74 community-dwelling elderly in Japan from August to October 2020. A statistical analysis was conducted to determine the effect of demographics on GDS, LSNS, and ACS-JPN, to compare the activity retention rates of the four domains using ACS-JPN, and to extract the activities that might affect depression using a generalized linear model. The results show that the retention of leisure activity with a high physical demand (H-leisure) and sociocultural activities was significantly lower than instrumental activities of daily living and leisure activity with a low physical demand (L-leisure). L-leisure and the number of social networks were possible risk factors for depression during the pandemic. This study highlighted the importance of maintaining the number of L-leisure and social networks at home to prevent depression in community-dwelling elderly when they could not perform outdoor activities and direct interpersonal interaction.

Preliminary investigation of the student-delivered Community Outreach teleheAlth program for Covid education and Health promotion (COACH)

BACKGROUND

COVID-19 public health restrictions (i.e. physical distancing) compromise individuals' ability to self-manage their health behaviours and may increase the risks of adverse health events.

OBJECTIVES

To evaluate the student-delivered Community Outreach teleheAlth program for Covid education and Health promotion (COACH) on health-directed behaviour (self-management) among older adults (≥65 years of age, n = 75). Secondary objectives estimated the influence of COACH on perceived depression, anxiety, and stress; social support; health-related quality of life; health promotion self-efficacy; and other self-management domains.

METHODS

COACH was developed to provide chronic disease management and prevention support among older adults via telephone or videoconferencing platforms (i.e. Zoom). In this single-group, pre-post study, our primary outcome was measured using the health-directed behaviour subscale of the Health Education Impact Questionnaire. Secondary measures included the Depression, Anxiety and Stress Scale, Medical Outcomes Study: Social Support Survey, MOS Short Form-36, and Self-Rated Abilities for Health Practices Scale. Paired sample t-tests were used to analyse outcome changes.

RESULTS

Mean age of participants was 72.4 years (58.7% female; 80% ≥2 chronic conditions). Health-directed behaviour significantly improved after COACH (P < 0.001, d = 0.45). Improved health promotion self-efficacy (P < 0.001, d = 0.44) and decreased mental health were also observed (P < 0.001, d = -1.69).

DISCUSSION

COACH likely contributed to improved health-directed behaviour and health promotion self-efficacy despite the diminished mental health-related quality of life during COVID-19. Our findings also highlight the benefits of using health professional students for the delivery of virtual health promotion programs.

CLINICAL TRIAL INFORMATION

ClinicalTrials.gov ID: NCT04492527.

Feasibility, Safety, Enjoyment, and System Usability of Web-Based Aerobic Dance Exercise Program in Older Adults: Single-Arm Pilot Study

BACKGROUND

During the COVID-19 epidemic, opportunities for social interaction and physical activity among older people are decreasing, which may have a negative impact on their health. As a solution, a web-based group exercise program provided through a videoconferencing platform would be useful. As a web-based exercise program that older adults can easily, safely, and enjoyably perform at home, we developed a short-duration, light-intensity aerobic dance exercise program. Before studying the effectiveness of this exercise program, its characteristics, such as feasibility, safety, enjoyment, and system usability, should be examined among older adults.

OBJECTIVE

This pilot study aimed to examine the feasibility, safety, and enjoyment of a web-based aerobic dance exercise program and the usability of a web-based exercise delivery system using a videoconferencing platform for older adults.

METHODS

This study was designed as a prospective single-arm pilot study. A total of 16 older adults participated in an 8-week web-based aerobic dance program held every morning (8:30 AM to 8:50 AM) on weekdays at home. Retention and adherence rates were measured for the program's feasibility. Safety was assessed by the heart rate reserve, an index of exercise intensity calculated from heart rate, and the number of adverse events during exercise sessions. Enjoyment of this exercise program was assessed by an 11-point Likert scale ranging from 0 (not enjoyable at all) to 10 (extremely enjoyable) obtained through telephone interviews after the first-, third-, sixth-, and eighth-week intervention. For usability, the ease of the videoconferencing platform system was assessed through telephone interviews after the intervention.

RESULTS

A female participant with hypertension dropped out in the second week because of the continuously reported high blood pressure (≥180 mmHg) before attending the exercise session in the first week. Therefore, the retention rate was 93.8% (15/16). Among the remaining participants, the median (IQR) overall adherence rate was 97.4% (94.7-100). Regarding safety, the mean (SD) heart rate reserve during the aerobic dance exercise was 29.8% (6.8%), showing that the exercise was relatively safe with very light to light intensity. There were no adverse events during the exercise session. The enjoyment score (0-10 points) significantly increased from the first (6.7 [1.7]) to sixth (8.2 [1.3]) and eighth week (8.5 [1.3]). Regarding usability, 11 participants reported difficulties at the beginning, such as basic touch panel operations and the use of unfamiliar applications; however, all got accustomed to it and subsequently reported no difficulty.

CONCLUSIONS

This study showed high feasibility, enjoyment, and safety of the web-based aerobic dance exercise program in older adults, and the web-based exercise delivery system may have areas for improvement, albeit without serious problems. Our web-based aerobic dance exercise program may contribute to an increase in physical and social activities among older adults.

The relationship between older adults' technology use, in-person engagement, and pandemic-related mental health

OBJECTIVE

The objectives of this study are to 1) describe changes in in-person communication/activity and changes in older adult technology use during the COVID-19 pandemic and 2) examine whether less in-person communication/activity mediates the relationship between pandemic-related mental health and technology use.

METHOD

Linear regressions (stratified by age and financial strain) and structural equation modeling were employed using a nationally representative, cross-sectional survey of 3,188 older adults from the 2020 National Health and Aging Trends Study's COVID-19 Questionairre.

RESULTS

Older adults engaged in more technology-based activity (b = 0.24; p<.001), more technology-based health care communication (b = 0.22; p<.001), and more technology-based food acquisition (b = 0.21; p<.001) during the COVID-19 pandemic, as compared to before the pandemic. Results indicate that adults <80 years old demonstrated greater increases in technology-based activity, technology-based health communication, and technology-based food acquisition, compared to adults ≥80 years old. Change in in-person communication significantly mediated the relationship between pandemic-related mental health and technology-based communication (standardized coefficient= -0.012; p=.005), and change in in-person activity significantly mediated the relationship between pandemic-related mental health and technology-based activity (standardized coefficient= -0.017; p=.020).

CONCLUSIONS

This study suggests that older adults are utilizing technology more, and therefore should be considered in technology design and dissemination. Technology use could be an important positive response to help those with pandemic related worries stay safely engaged with friends and family. Technologies should be produced that are modifiable for older adults with disabilities and affordable for older adults with fixed incomes.

Leveraging Mobile Health to Manage Mental Health/Behavioral Health Disorders: Systematic Literature Review

BACKGROUND

Mental health is a complex condition, highly related to emotion. The COVID-19 pandemic caused a significant spike in depression (from isolation) and anxiety (event related). Mobile Health (mHealth) and telemedicine offer solutions to augment patient care, provide education, improve symptoms of depression, and assuage fears and anxiety.

OBJECTIVE

This review aims to assess the effectiveness of mHealth to provide mental health care by analyzing articles published in the last year in peer-reviewed, academic journals using strong methodology (randomized controlled trial).

METHODS

We queried 4 databases (PubMed, CINAHL [Cumulative Index to Nursing and Allied Health Literature], Web of Science, and ScienceDirect) using a standard Boolean search string. We conducted this systematic literature review in accordance with the Kruse protocol and reported it in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) 2020 checklist (n=33).

RESULTS

A total of 4 interventions (mostly mHealth) from 14 countries identified improvements in primary outcomes of depression and anxiety as well as in several secondary outcomes, namely, quality of life, mental well-being, cognitive flexibility, distress, sleep, self-efficacy, anger, decision conflict, decision regret, digestive disturbance, pain, and medication adherence.

CONCLUSIONS

mHealth interventions can provide education, treatment augmentation, and serve as the primary modality in mental health care. The mHealth modality should be carefully considered when evaluating modes of care.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42022343489; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=343489.

Health-Promoting Behaviors among Older Adults with Noncommunicable Diseases in Rural and Urban Areas during the New Normal Post-COVID-19 Era: A Structural Equation Modeling Analysis

This study aimed to develop and test a causal relationship among perceived self-efficacy (PSE), health literacy (HL), access to COVID-19 preventive material (ACPM), social networks (SN), and health-promoting behaviors (HPBs). Multistage stratified random sampling was used to recruit 250 older adults with noncommunicable diseases (NCDs) from Thai urban and rural communities. The data were collected with self-reported questionnaires. Data analyses used descriptive statistics and structural equation modeling. The results indicated that participants in urban communities had higher PSE, ACPM, HL, SN, and HPBs than rural participants. The fitness parameters of the modified model (χ2 = 71.936, df = 58, p-value = 0.103, χ2/df = 1.240; root mean square error of approximation (RMSEA) = 0.031; standardized root mean square residual (SRMR) = 0.042; goodness of fit index (GFI) = 0.964; normed-fit index (NFI) = 0.964; comparative fit index (CFI) = 0.993) indicated its suitability as the research model. HPBs were directly positively influenced by PSE (β = 0.40, p < 0.001), ACPM (β = 0.24, p < 0.001), HL (β = 0.19, p < 0.01), and SN (β = 0.01, p < 0.05). Therefore, taking all predicting variables together could explain 81.0% of the variance in HPBs. Multidisciplinary healthcare teams could use these findings to establish proper interventions or healthcare activities to increase HPBs among older adults, particularly in this era of the “new normal”.

Incident and Recurrent Depression among Adults Aged 50 Years and Older during the COVID-19 Pandemic: A Longitudinal Analysis of the Canadian Longitudinal Study on Aging

The COVID-19 pandemic and accompanying public health measures have exacerbated many risk factors for depression in older adulthood. The objectives of the current study are: (1) to determine the risk of incident and recurrent depression during the COVID-19 pandemic among those with, or without, a history of depression; and (2) to identify factors that were predictive of depression in these two groups. The study population included 22,622 participants of the Canadian Longitudinal Study on Aging who provided data at baseline (2011-2015), follow-up (2015-2018), and twice during the pandemic (April-May 2020, September-December 2020). The Center for Epidemiologic Studies Depression Scale (CES-D-10) was used to classify individuals with depression. Logistic regression was used to estimate the odds of depression during COVID across a series of risk factors. Individuals with a history of depression had four times the risk of depression during the pandemic when compared to those without a history of depression, even after controlling for relevant covariates. Other factors associated with depression during the pandemic include being female, having fewer savings, and experiencing COVID-19 related stressors, such as health stressors, difficulties accessing resources, and family conflict. Clinicians working with older adults should consider interventions to support high-risk groups, such as those with recurrent depression.

Older Adults and Social Isolation and Loneliness During the COVID-19 Pandemic: An Integrated Review of Patterns, Effects, and Interventions

A scoping review was conducted to identify patterns, effects, and interventions to address social isolation and loneliness among community-dwelling older adult populations during the COVID-19 pandemic. We also integrated (1) data from the Canadian Longitudinal Study on Aging (CLSA) and (2) a scan of Canadian grey literature on pandemic interventions. CLSA data showed estimated relative increases in loneliness ranging between 33 and 67 per cent depending on age/gender group. International studies also reported increases in levels of loneliness, as well as strong associations between loneliness and depression during the pandemic. Literature has primarily emphasized the use of technology-based interventions to reduce social isolation and loneliness. Application of socio-ecological and resilience frameworks suggests that researchers should focus on exploring the wider array of potential pandemic age-friendly interventions (e.g., outdoor activities, intergenerational programs, and other outreach approaches) and strength-based approaches (e.g., building community and system-level capacity) that may be useful for reducing social isolation and loneliness.

Partnering with a senior living community to optimise teledermatology via full body skin screening during the COVID-19 pandemic: A pilot programme

BACKGROUND

Elderly patients in senior communities faced high barriers to care during the COVID-19 pandemic, including increased vulnerability to COVID-19, long quarantines for clinic visits, and difficulties with telemedicine adoption.

OBJECTIVE

To pilot a new model of dermatologic care to overcome barriers for senior living communities during the COVID-19 pandemic and assess patient satisfaction.

METHODS

From 16 November 2020 to 9 July 2021, this quality improvement programme combined in-residence full body imaging with real-time outlier lesion identification and virtual teledermatology. Residents from the Sequoias Portola Valley Senior Living Retirement Community (Portola Valley, California) voluntarily enroled in the Stanford Skin Scan Programme. Non-physician clinical staff with a recent negative COVID-19 test travelled on-site to obtain in-residence full body photographs using a mobile app-based system on an iPad called SkinIO that leverages deep learning to analyse patient images and suggest suspicious, outlier lesions for dermoscopic photos. A single dermatologist reviewed photographs with the patient and provided recommendations via a video visit. Objective measures included follow-up course and number of skin cancers detected. Subjective findings were obtained through patient experience surveys.

RESULTS

Twenty-seven individuals participated, three skin cancers were identified, with 11 individuals scheduled for a follow up in-person visit and four individuals starting home treatment. Overall, 88% of patients were satisfied with the Skin Scan programme, with 77% likely to recommend the programme to others. 92% of patients agreed that the Skin Scan photographs were representative of their skin. In the context of the COVID-19 pandemic, 100% of patients felt the process was safer or comparable to an in-person visit. Despite overall appreciation for the programme, 31% of patients reported that they would prefer to see dermatologist in-person after the pandemic.

CONCLUSIONS

This programme offers a framework for how a hybrid skin scan programme may provide high utility for individuals with barriers to accessing in-person clinics.

Changing Relationships Between Social Contact, Social Support, and Depressive Symptoms During the COVID-19 Pandemic

OBJECTIVES

Given the longstanding consensus that social contact can promote older adult well-being, many have focused on how social contact changed during the pandemic. Less is known, however, about whether the link between social contact and health changed during the pandemic. This study sought to understand how associations between social contact, social support, and depressive symptoms changed during the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

Data from 2 waves of the Health and Retirement Study were used. Respondents reported both virtual and in-person social contact, as well as perceived positive and negative social support. Path models were used to estimate relationships between social contact, social support, and depressive symptoms. Bootstrapping was used to estimate the change in associations between 2016 and 2020.

RESULTS

Estimates show that associations between positive social support and depressive symptoms, as well as between in-person social contact and depressive symptoms, attenuated during the pandemic. Virtual social contact played a relatively minor role in determining outcomes such as social support and depressive symptoms, compared to in-person social contact.

DISCUSSION

Findings suggest that researchers and policymakers should not only focus on the changing quantity of social interactions when events such as the COVID-19 pandemic happen, but also the changing content and efficacy of the social interactions that remain.

Embracing Technological Possibilities in the Telehealth Delivery of Interactive Music Therapy

INTRODUCTION

Given how many music therapists have shifted their practice to telehealth in accordance with COVID-19 public safety precautions, it is essential for clinicians not only to adjust to the virtual platform, but to embrace the therapeutic potential of technological tools. Just as music is considered a therapeutic agent in music therapy sessions, the authors assert that technology may also be conceptualized and utilized as a means of enhancing therapeutic outcomes.

METHOD

Referencing an interactive music therapy protocol adapted for telehealth as part of a pain management study, the authors examine ways in which different aspects of telehealth technology can be used by music therapists to support client goals and bolster the therapeutic relationship. Generalized clinical examples drawn from virtual sessions are incorporated to demonstrate the unique therapeutic possibilities for client agency, client self-efficacy, and the client-therapist relationship afforded by the telehealth platform.

RESULTS

Among the possibilities afforded by telehealth are enriched opportunities for client choice, reinforcement of learning and implementing new transferrable skills, and enhancing the therapeutic relationship through collaborative troubleshooting and adapted interactive music experiences.

DISCUSSION

Specific recommendations for music therapists are included to advance the conversation around best practices regarding telehealth. The authors discuss actionable items for music therapists such as utilizing screen-sharing options to enhance musical interactions, validating and exploring clients' use of technology for self-disclosure, and other strategies for harnessing the therapeutic potential of technology in virtual music therapy sessions.

Use of Digital Tools, Social Isolation, and Lockdown in People 80 Years and Older Living at Home

The COVID-19 crisis and associated lockdowns have exposed the extent of social isolation among older adults (OAs). Currently, the French government and medical, social, and charitable organizations are working to find means of limiting the multiple psychological and physical consequences of social isolation on the health of OAs. One proposal is to help the elderly become more comfortable using digital tools (DTs). However, the ability of DTs to reduce social isolation is disputed in the literature. This study aimed to collect the views of OAs on social isolation; to identify the determinants of the use or not of DTs, in particular in the context of a lockdown; and the role of DTs in the strategy to reduce social isolation. This qualitative study was based on 27 semi-structured individual interviews with OAs ≥ 80 years, in Côte-d’Or and Haute-Marne (French departments), from March to May 2021. A total of 96.3% of participants had already owned one or more DTs (mobile phone, tablet, or computer) for several years. The lockdown had not prompted the population to equip themselves more. The most common reason for using DTs was to maintain contact with relatives, and 63% of the participants said that DTs have a positive impact in reducing social isolation. However, there is a significant need for assistance and training in their use, especially since many services are now offered online. The participants suggested that the key to minimizing social isolation remained the maintenance of social contacts. In conclusion, DTs appear to be useful for helping the elderly maintain social links with relatives and, therefore, have a strategic place in the reduction of social isolation. However, these tools should not replace in-person interactions.

Dynamics of Loneliness Among Older Adults During the COVID-19 Pandemic: Pilot Study of Ecological Momentary Assessment With Network Analysis

OBJECTIVE

The COVID-19 pandemic has had potentially severe psychological implications for older adults, including those in retirement communities, due to restricted social interactions, but the day-to-day experience of loneliness has received limited study. We sought to investigate sequential association, if any, between loneliness, activity, and affect.

METHODS

We used ecological momentary assessment (EMA) with dynamic network analysis to investigate the affective and behavioral concomitants of loneliness in 22 residents of an independent living sector of a continuing care retirement community (mean age 80.2; range 68-93 years).

RESULTS

Participants completed mean 83.9% of EMA surveys (SD = 16.1%). EMA ratings of loneliness were moderately correlated with UCLA loneliness scale scores. Network models showed that loneliness was contemporaneously associated with negative affect (worried, anxious, restless, irritable). Negative (but not happy or positive) mood tended to be followed by loneliness and then by exercise or outdoor physical activity. Negative affect had significant and high inertia (stability).

CONCLUSIONS

The data suggest that EMA is feasible and acceptable to older adults. EMA-assessed loneliness was moderately associated with scale-assessed loneliness. Network models in these independent living older adults indicated strong links between negative affect and loneliness, but feelings of loneliness were followed by outdoor activity, suggesting adaptive behavior among relatively healthy adults.

Technology-Mediated Enrichment in Aged Care: Survey and Interview Study

Background

Digital technologies such as virtual reality (VR), humanoid robots, and digital companion pets have the potential to provide social and emotional enrichment for people living in aged care. However, there is currently limited knowledge about how technologies are being used to provide enrichment, what benefits they provide, and what challenges arise when deploying these technologies in aged care settings.

Objective

This study aims to investigate how digital technologies are being used for social and emotional enrichment in the Australian aged care industry and identify the benefits and challenges of using technology for enrichment in aged care.

Methods

A web-based survey (N=20) was distributed among people working in the Australian aged care sector. The survey collected information about the types of technologies being deployed and their perceived value. The survey was followed by semistructured interviews (N=12) with aged care workers and technology developers to investigate their experiences of deploying technologies with older adults living in aged care. Survey data were analyzed using summary descriptive statistics and categorizing open-ended text responses. Interview data were analyzed using reflexive thematic analysis.

Results

The survey revealed that a range of commercial technologies, such as VR, tablet devices, and mobile phones, are being used in aged care to support social activities and provide entertainment. Respondents had differing views about the value of emerging technologies, such as VR, social robots, and robot pets, but were more united in their views about the value of videoconferencing. Interviews revealed 4 types of technology-mediated enrichment experiences: enhancing social engagement, virtually leaving the care home, reconnecting with personal interests, and providing entertainment and distraction. Our analysis identified 5 barriers: resource constraints, the need to select appropriate devices and apps, client challenges, limited staff and organizational support, and family resistance.

Conclusions

This study demonstrates that technologies can be used in aged care to create personally meaningful enrichment experiences for aged care clients. To maximize the effectiveness of technology-mediated enrichment, we argue that a person-centered care approach is crucial. Although enrichment experiences can be created using available technologies, they must be carefully selected and co-deployed with aged care clients. However, significant changes may be required within organizations to allow caregivers to facilitate individual technology-based activities for enrichment.

Titrating Support: Stakeholder Perspectives on Improving a Mobile Telepresence Robot for People with Alzheimer's Disease and Related Dementias (Preprint)

Background

By 2050, nearly 13 million Americans will have Alzheimer disease and related dementias (ADRD), with most of those with ADRD or mild cognitive impairment (MCI) receiving home care. Mobile telepresence robots may allow persons with MCI or ADRD to remain living independently at home and ease the burden of caregiving. The goal of this study was to identify how an existing mobile telepresence robot can be enhanced to support at-home care of people with MCI or ADRD through key stakeholder input.

Objective

The specific aims were to assess what applications should be integrated into the robot to further support the independence of individuals with MCI or ADRD and understand stakeholders’ overall opinions about the robot.

Methods

We conducted in-person interviews with 21 stakeholders, including 6 people aged >50 years with MCI or ADRD living in the community, 9 family caregivers of people with MCI or ADRD, and 6 clinicians who work with the ADRD population. Interview questions about the robot focused on technology use, design and functionality, future applications to incorporate, and overall opinions. We conducted a thematic analysis of the data obtained and assessed the patterns within and across stakeholder groups using a matrix analysis technique.

Results

Overall, most stakeholders across groups felt positively about the robot’s ability to support individuals with MCI or ADRD and decrease caregiver burden. Most ADRD stakeholders felt that the greatest benefits would be receiving help in emergency cases and having fewer in-person visits to the doctor’s office. Caregivers and clinicians also noted that remote video communication with their family members using the robot was valuable. Adding voice commands and 1-touch lifesaving or help buttons to the robot were the top suggestions offered by the stakeholders. The 4 types of applications that were suggested included health-related alerts; reminders; smart-home–related applications; and social, entertainment, or well-being applications. Stakeholders across groups liked the robot’s mobility, size, interactive connection, and communication abilities. However, stakeholders raised concerns about their physical stability and size for individuals living in smaller, cluttered spaces; screen quality for those with visual impairments; and privacy or data security.

Conclusions

Although stakeholders generally expressed positive opinions about the robot, additional adaptations were suggested to strengthen functionality. Adding applications and making improvements to the design may help mitigate concerns and better support individuals with ADRD to live independently in the community. As the number of individuals living with ADRD in the United States increases, mobile telepresence robots are a promising way to support them and their caregivers. Engaging all 3 stakeholder groups in the development of these robots is a critical first step in ensuring that the technology matches their needs. Integrating the feedback obtained from our stakeholders and evaluating their effectiveness will be important next steps in adapting telepresence robots.

Do Words Matter? Detecting Social Isolation and Loneliness in Older Adults Using Natural Language Processing

Introduction: Social isolation and loneliness (SI/L) are growing problems with serious health implications for older adults, especially in light of the COVID-19 pandemic. We examined transcripts from semi-structured interviews with 97 older adults (mean age 83 years) to identify linguistic features of SI/L. Methods: Natural Language Processing (NLP) methods were used to identify relevant interview segments (responses to specific questions), extract the type and number of social contacts and linguistic features such as sentiment, parts-of-speech, and syntactic complexity. We examined: (1) associations of NLP-derived assessments of social relationships and linguistic features with validated self-report assessments of social support and loneliness; and (2) important linguistic features for detecting individuals with higher level of SI/L by using machine learning (ML) models. Results: NLP-derived assessments of social relationships were associated with self-reported assessments of social support and loneliness, though these associations were stronger in women than in men. Usage of first-person plural pronouns was negatively associated with loneliness in women and positively associated with emotional support in men. ML analysis using leave-one-out methodology showed good performance (F1 = 0.73, AUC = 0.75, specificity = 0.76, and sensitivity = 0.69) of the binary classification models in detecting individuals with higher level of SI/L. Comparable performance were also observed when classifying social and emotional support measures. Using ML models, we identified several linguistic features (including use of first-person plural pronouns, sentiment, sentence complexity, and sentence similarity) that most strongly predicted scores on scales for loneliness and social support. Discussion: Linguistic data can provide unique insights into SI/L among older adults beyond scale-based assessments, though there are consistent gender differences. Future research studies that incorporate diverse linguistic features as well as other behavioral data-streams may be better able to capture the complexity of social functioning in older adults and identification of target subpopulations for future interventions. Given the novelty, use of NLP should include prospective consideration of bias, fairness, accountability, and related ethical and social implications.