The Effects of COVID-19 Among the Elderly Population: A Case for Closing the Digital Divide

Assessing the Disruption of Health Services During the COVID-19 Pandemic Among Adults Living With HIV by Age in Essex County, NJ: A Cross-Sectional Study

ABSTRACT

At the onset of the COVID-19 pandemic, clinicians and researchers were concerned about its impact on the health of people living with HIV (PLWH). Although mitigation measures during the early part of the pandemic used telehealth, it was uncertain whether PLWH would be amenable to this type of care and whether health outcomes would be affected. PLWH actively seeking treatment at a large urban outpatient practice in Essex County, New Jersey, were interviewed from October 2020 to June 2021 about their health-related experiences during COVID-19. The sample was dichotomized by age (< 55 and ≥ 55). In all, participants (69.2%, n = 92) used telehealth during this period, 85.0% ( n = 113) actively tested for COVID-19, with only 7% ( n = 8) testing positive at the time of interview. Our findings demonstrate that PLWH who engaged with health care before the COVID-19 pandemic continued doing that and had relatively favorable health outcomes with few differences by age.

An example of the adaptation of the Nominal Group Technique (NGT) to a virtual format (vNGT) within healthcare research

The Nominal Group Technique (NGT) has been used to establish clinical priorities and generate guidelines within healthcare since its creation over fifty years ago. It is characterised by its five distinct stages; introduction, silent idea generation, 'round robin', clarifications and rating or ranking. A key element traditionally has been the inclusion of face-to-face discussion, however in the context of COVID-19 innovations were required. This article provides a case study illustrating an adaptation of the NGT to a virtual format (vNGT) and outlines the processes involved in a virtual NGT (vNGT), using an illustrative study exploring the rehabilitation of stroke survivors. The vNGT offers opportunities for global collaborations without the constraints of geography or incurred costs. Future studies should evaluate it's acceptability for stroke survivors to enable their participation within research.Summary statement1. This study provides a guide for the use of virtual nominal group technique (vNGT), using a freely available video-conferencing platform2. vNGT increases opportunities for global collaborations whilst incurring minimal costs.3. It remains unclear how feasible this procedure is with patient populations who have potentially less digital confidence and access.This work was supported by NIHR ARC-East Midlands, Grant number NIHR200171.

The paradox of aging population and firm digital transformation in China

Although a number researchers have acknowledged that the aging population inhibits firm digital transformation, others find it promoting digital transformation in some firms. As the relevant literature to clarify such paradox is still scare, this paper wants to fill the gap regarding the labor cost theory, the capital-skill complementarity hypothesis, and the human capital externality theory. Based on the empirical tests of Chinese A-share listed companies from 2001 to 2022, this study detected a U-shaped relationship between the aging population and digital transformation. In terms of the institutional environment, higher marketization strengthens the U-shaped relationship by making the slopes on either side of it steeper. However, higher minimum wage levels weaken the U-shaped relationship. In terms of firm strategy, firms with stronger marketing capabilities strengthened the U-shaped relationship. However, firms with higher customer concentration weakened the U-shaped relationship. Overall, we enriched scholarly understanding of the impact of the aging population on digital transformation and demonstrated the dual potential impact of aging populations. Instead of assuming they are detrimental to the economy and society, positive contributions in the form of innovation and progress for companies can be detected.

Spatial, temporal, and demographic nonstationary dynamics of COVID-19 exposure among older adults in the U.S

This study examines demographic disparities in COVID-19 exposures across older adults age 60-79 and older adults age 80 and over, and explores the factors driving these dynamics in the United States (U.S.) from January 2020 to July 2022. Spatial clusters were identified, and 14 main health determinants were synthesized from 62 pre-existing county-level variables. The study also assessed the correlation between these health determinants and COVID-19 incidence rates for both age groups during the pandemic years. Further examination of incidence rates in relation to health determinants was carried out through statistical and spatial regression models. Results show that individuals aged 80 and over had much higher hospitalization rates, death rates, and case-fatality rates in 2020-2022. Spatial results indicate that the geographical cluster of high incidence rates for both groups shifted from the Midwest at the beginning of the pandemic to the Southwest in 2022. The study revealed marked spatial, temporal, and demographic nonstationary dynamics in COVID-19 exposures, indicating that the health effects of contextual factors vary across age groups. COVID-19 incidence rates in older adults were strongly influenced by race, healthcare access, social capital, environment, household composition, and mobility. Future public health policies and mitigations should further their efforts by considering temporal and demographic nonstationarity as well as local conditions.

Comparing Loneliness, Social Inactivity, and Social Isolation: Associations with Health-Related Quality of Life and Mortality among Home-Dwelling Older Adults

INTRODUCTION

Loneliness, social inactivity, and social isolation are intertwined concepts. When assessed separately, they indicate poor well-being, adverse health effects, and increased mortality. Studies exploring overlapping and comparing the prognosis of these concepts are scarce. We investigated (1) overlapping of concepts of loneliness, social inactivity, and social isolation, (2) characteristics of groups: group 0 (not lonely, socially inactive, or socially isolated), group 1 (lonely), group 2 (not lonely but socially inactive and/or socially isolated), and (3) the health-related quality of life (HRQoL), psychological well-being (PWB), and 3.6-year mortality of these groups.

METHODS

The home-dwelling older adults (n = 989; 75 y+) of the Helsinki Aging Study in 2019-2022 completing all required questionnaires were assessed. Group 0 included 494, group 1 included 280, and group 2 included 215 participants. Variables studied were demographics, diagnoses, mobility, physical functioning (Barthel index), and cognition (Mini-Mental State Examination). Outcomes were HRQoL (15D) and PWB. Mortality was retrieved from central registers.

RESULTS

Half of the sample was lonely, socially inactive, or socially isolated, but only 2% were simultaneously lonely, socially inactive, and socially isolated. Of lonely participants, 38% were also socially inactive and/or socially isolated. The lonely participants were significantly more often widowed or lived alone and had the lowest HRQoL and poorest PWB compared with the other groups. After adjustments (age, sex, Charlson Comorbidity Index), mortality did not statistically differ between the groups.

CONCLUSION

Loneliness is an independent determinant of poor HRQoL and PWB, and it should be considered separately from social inactivity and social isolation.

Tracking the Uneven Outcomes of COVID-19 on Racial and Ethnic Groups: Implications for Health Policy

The socioeconomic shocks of the first COVID-19 pandemic wave disproportionately affected vulnerable groups. But did that trend continue to hold during the Delta and Omicron waves? Leveraging data from the Johns Hopkins Coronavirus Resource Center, this paper examines whether demographic inequalities persisted across the waves of COVID-19 infections. The current study utilizes fixed effects regressions to isolate the marginal relationships between socioeconomic factors with case counts and death counts. Factors include levels of urbanization, age, gender, racial distribution, educational attainment, and household income, along with time- and state-specific COVID-19 restrictions and other time invariant controls captured via fixed effects controls. County-level health outcomes in large metropolitan areas show that despite higher incidence rates in suburban and exurban counties, urban counties still had disproportionately poor outcomes in the latter COVID-19 waves. Policy makers should consider health disparities when developing long-term public health regulatory policies to help shield low-income households from the adverse effects of COVID-19 and future pandemics.

Home-monitoring for neovascular age-related macular degeneration in older adults within the UK: the MONARCH diagnostic accuracy study

Background

Most neovascular age-related macular degeneration treatments involve long-term follow-up of disease activity. Home monitoring would reduce the burden on patients and those they depend on for transport, and release clinic appointments for other patients. The study aimed to evaluate three home-monitoring tests for patients to use to detect active neovascular age-related macular degeneration compared with diagnosing active neovascular age-related macular degeneration by hospital follow-up.

Objectives

There were five objectives: Estimate the accuracy of three home-monitoring tests to detect active neovascular age-related macular degeneration. Determine the acceptability of home monitoring to patients and carers and adherence to home monitoring. Explore whether inequalities exist in recruitment, participants' ability to self-test and their adherence to weekly testing during follow-up. Provide pilot data about the accuracy of home monitoring to detect conversion to neovascular age-related macular degeneration in fellow eyes of patients with unilateral neovascular age-related macular degeneration. Describe challenges experienced when implementing home-monitoring tests.

Design

Diagnostic test accuracy cohort study, stratified by time since starting treatment.

Setting

Six United Kingdom Hospital Eye Service macular clinics (Belfast, Liverpool, Moorfields, James Paget, Southampton, Gloucester).

Participants

Patients with at least one study eye being monitored by hospital follow-up.

Reference standard

Detection of active neovascular age-related macular degeneration by an ophthalmologist at hospital follow-up.

Index tests

KeepSight Journal: paper-based near-vision tests presented as word puzzles. MyVisionTrack®: electronic test, viewed on a tablet device. MultiBit: electronic test, viewed on a tablet device. Participants provided test scores weekly. Raw scores between hospital follow-ups were summarised as averages.

Results

Two hundred and ninety-seven patients (mean age 74.9 years) took part. At least one hospital follow-up was available for 317 study eyes, including 9 second eyes that became eligible during follow-up, in 261 participants (1549 complete visits). Median testing frequency was three times/month. Estimated areas under receiver operating curves were < 0.6 for all index tests, and only KeepSight Journal summary score was significantly associated with the lesion activity (odds ratio = 3.48, 95% confidence interval 1.09 to 11.13, p = 0.036). Older age and worse deprivation for home address were associated with lower participation (χ2 = 50.5 and 24.3, respectively, p < 0.001) but not ability or adherence to self-testing. Areas under receiver operating curves appeared higher for conversion of fellow eyes to neovascular age-related macular degeneration (0.85 for KeepSight Journal) but were estimated with less precision. Almost half of participants called a study helpline, most often due to inability to test electronically.

Limitations

Pre-specified sample size not met; participants' difficulties using the devices; electronic tests not always available.

Conclusions

No index test provided adequate test accuracy to identify lesion diagnosed as active in follow-up clinics. If used to detect conversion, patients would still need to be monitored at hospital. Associations of older age and worse deprivation with study participation highlight the potential for inequities with such interventions. Provision of reliable electronic testing was challenging.

Future work

Future studies evaluating similar technologies should consider: Independent monitoring with clear stopping rules based on test performance. Deployment of apps on patients' own devices since providing devices did not reduce inequalities in participation and complicated home testing. Alternative methods to summarise multiple scores over the period preceding a follow-up.

Trial registration

This trial is registered as ISRCTN79058224.

Funding

This award was funded by the National Institute of Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 15/97/02) and is published in full in Health Technology Assessment; Vol. 28, No. 32. See the NIHR Funding and Awards website for further award information.

"A Matter of Life and Death": Mitigating the Gray Digital Divide in Using Health Information Technologies in the Post-Pandemic Era

A pervasive issue in healthcare is that elderly populations have fallen far behind in using healthcare technologies, a phenomenon known as the gray digital divide. Even more concerningly, the COVID-19 pandemic has dramatically catalyzed health digitization with the potential for lasting demographic-wide impacts. Against this backdrop and drawing on both the digital divide literature and the unified theory of acceptance and use of technology (UTAUT2), we investigated elderly populations' usage of healthcare technologies through analyzing HINTS 6 (2022) survey data. Results show a widespread first- and second-level digital divide in using health information technologies (HITs) between people aged 65 and up and people aged 18-64, including Internet access, health-related Internet use, health-related social media use, health app use, use of wearable electronic health devices, telehealth visits, and accessing online medical records. Moreover, this study finds that education consistently positively predicts Internet use and use of various HITs by the elderly; income is the next reliable predictor but not as consistent as education. Health-related variables are less consistent in predicting the elderly's use of HITs. Theoretical and practical implications of these results are discussed to inform the mitigation of the gray digital divide in healthcare.

Experiences of a Community-Based Digital Intervention Among Older People Living in a Low-Income Neighborhood: Qualitative Study

BACKGROUND

Older adults worldwide experienced heightened risks of depression, anxiety, loneliness, and poor mental well-being during the COVID-19 pandemic. During this period, digital technology emerged as a means to mitigate social isolation and enhance social connectedness among older adults. However, older adults' behaviors and attitudes toward the adoption and use of digital technology are heterogeneous and shaped by factors such as age, income, and education. Few empirical studies have examined how older adults experiencing social and economic disadvantages perceive the learning of digital tools.

OBJECTIVE

This study aims to examine the motivations, experiences, and perceptions toward a community-based digital intervention among older adults residing in public rental flats in a low-income neighborhood. Specifically, we explored how their attitudes and behaviors toward learning the use of smartphones are shaped by their experiences related to age and socioeconomic challenges.

METHODS

This study adopted a qualitative methodology. Between December 2020 and March 2021, we conducted semistructured in-depth interviews with 19 participants aged ≥60 years who had completed the community-based digital intervention. We asked participants questions about the challenges encountered amid the pandemic, their perceived benefits of and difficulties with smartphone use, and their experiences with participating in the intervention. All interviews were audio recorded and analyzed using a reflexive thematic approach.

RESULTS

Although older learners stated varying levels of motivation to learn, most expressed ambivalence about the perceived utility and relevance of the smartphone to their current needs and priorities. While participants valued the social interaction with volunteers and the personalized learning model of the digital intervention, they also articulated barriers such as age-related cognitive and physical limitations and language and illiteracy that hindered their sustained use of these digital devices. Most importantly, the internalization of ageist stereotypes of being less worthy learners and the perception of smartphone use as being in the realm of the privileged other further reduced self-efficacy and interest in learning.

CONCLUSIONS

To improve learning and sustained use of smartphones for older adults with low income, it is essential to explore avenues that render digital tools pertinent to their daily lives, such as creating opportunities for social connections and relationship building. Future studies should investigate the relationships between older adults' social, economic, and health marginality and their ability to access digital technologies. We recommend that the design and implementation of digital interventions should prioritize catering to the needs and preferences of various segments of older adults, while working to bridge rather than perpetuate the digital divide.

Inequalities in Uptake and Use of Digital Applications for Home-Monitoring of Neovascular Age-Related Macular Degeneration in an Elderly Visually Impaired Population: The MONARCH Study

Purpose

To describe inequalities in the Monitoring for Neovascular Age-related Macular Degeneration Reactivation at Home (MONARCH) diagnostic test accuracy study for: recruitment; participants' ability to self-test; and adherence to testing using digital applications during follow-up.

Methods

Home-monitoring vision tests included two tests implemented as software applications (apps: MyVisionTrack and MultiBit) on an iPod Touch device. Patients were provided with all hardware required to participate (iPod and MIFI device) and trained to use the apps. Regression models estimated associations of age, sex, Index of Multiple Deprivation, strata of time since first diagnosis, and baseline visual acuity at study entry on outcomes of willingness to participate, ability to perform tests, and adherence to weekly testing.

Results

A minority of patients who were approached were willing-in-principle to participate. Increasing age was associated with being unwilling-in-principle to participate. Patients from the most deprived areas had a 47% decrease in odds of being willing compared to those from the middle quintile deprived areas (odds ratio, 0.53; 95% confidence interval = 0.32, 0.88). Increasing age and worse deprivation were not consistently associated either with ability to self-monitor with the index tests, or adherence to weekly testing.

Conclusions

Associations of increasing age and worse deprivation index were associated with unwillingness-in-principle to participate despite the provision of hardware' highlighting the potential for inequality with interventions of the kind evaluated.

Translational Relevance

The clear evidence of inequalities in participation should prompt future research on ways to encourage adoption of mobile health technologies by underserved populations.

"Provided a window on the world and lessened my feeling of isolation": older adults' perceived COVID-19 impact and technology use in Australia during recurrent lockdowns

BACKGROUND

An informed understanding of older adults' perceptions of the impact (positive or negative) of recurrent COVID-19 long lockdowns is important for the development of targeted interventions and resources for future restrictions. This study aimed to understand self-reported impacts of COVID-19 recurrent restrictions on older adults and how technology has been used to mitigate these.

METHODS

A cross-sectional national study of 257 community-dwelling older Australians based in Victoria (mean age = 67.6 years [SD = 7.2]; 20.6% male) completed an online or postal survey as part of a larger study examining the physical and mental health impacts of a second extended COVID-19 lockdown period. This secondary analysis reports on the findings from free-text responses to two open-ended questions included in that survey that asked participants to comment on the greatest impacts of the COVID-19 lockdowns (positive or negative) and the role of technology in supporting their wellbeing during this time. Responses were collected between July and September 2020. Data were analysed using content (COVID-19 impacts) and thematic (role of technology) analysis.

RESULTS

Respondents gave more negative responses (75.5%) than mixed (15.2%) and positive responses (6.2%) in reporting on the biggest impact of COVID-19 lockdowns. Inductive content analysis revealed two first-order main categories (Positive impacts and Negative impacts). Axial coding of main categories showed five second-order categories (Environmental, Physical Health, Social, Mental Health, and Personal) for both negative and positive main categories (totalling 10 second-order categories). Overall, respondents highlighted social loss as the key negative experience (70%), with acute feelings of social isolation contributing to negative impacts on mental wellbeing. The most commonly reported positive impact reported (11%) was having more time for relationships, relaxation, and new hobbies. Technology was primarily used to sustain socialisation and provide access to essential resources, services, and goods, which respondents perceived to contribute to maintaining their wellbeing.

CONCLUSIONS

Findings suggest a critical need for interventions that address the social loss experienced by older adults during COVID-19 recurrent lockdowns, particularly to alleviate the associated negative impact on mental wellbeing. Recognising the positive aspect of increased time for relationships and leisure activities indicates potential areas for resilience-building strategies. The pivotal role of technology in mitigating adverse effects highlights its significance in building social connections and supporting overall wellbeing during challenging times. These implications can guide future efforts to enhance older adults' resilience, mental health, and holistic wellbeing in future public health crises.

From Sheltered in Place to Thriving in Place: Pandemic Places of Aging

BACKGROUND AND OBJECTIVES

Response to the coronavirus disease 2019 pandemic required rapid changes to physical, social, and technological environments. There is a need to understand how independent-living older adults are adapting to pandemic-borne transformations of place and how environmental factors may shape experiences of aging well in the context of a public health emergency response.

RESEARCH DESIGN AND METHODS

We conducted a photovoice study to examine the characteristics associated with aging in place. Our study investigated how independent-living older adults characterized aging in a "right" place approximately 1 year after the onset of the pandemic.

RESULTS

Six themes categorized into 2 groups capture how older adults describe a "right" place to age. The first category, "places as enactors of identity and belonging," describes the significance of places contributing to intimate relationships, social connections, and a sense of personal continuity. The second category, "places as facilitators of activities and values," recognizes environments that promote health, hobbies, goals, and belief systems. Participants reported modifying their daily living environments with increased use of technology and more time outdoors.

DISCUSSION AND IMPLICATIONS

Our findings emphasize older adults' active engagement with place and strategies used to maintain healthy aging despite public health restrictions. The results also identify place-based characteristics that may help overcome stressful circumstances from older adults' perspectives. These findings inform pathways to pursue to facilitate resiliency for aging in place.

The Effect of "Offline-to-Online" Trust Transfer on the Utilization of Online Medical Consultation Among Chinese Rural Residents: Experimental Study

BACKGROUND

Online medical consultation can serve as a valuable means for rural residents to access high-quality health care resources, thereby mitigating the geographic and economic disadvantages prevalent in rural areas. Nevertheless, due to lower cognitive abilities, rural residents often face challenges in trusting and making effective use of online medical consultations. More likely, adopting a bounded rational decision-making model that facilitates the "offline-to-online" trust transfer could prove to be a potentially effective approach. This strategy aims to encourage less technologically experienced rural residents to trust and make use of online medical consultations.

OBJECTIVE

This study aims to characterize the status of "offline-to-online" trust transfer among rural residents in the context of internet health care, and analyze its direct impact on facilitating the utilization of online medical consultation. Additionally, we investigate the family spillover effect of "offline-to-online" trust transfer in promoting the use of online medical consultation among rural family members, considering its distributional effect across various education levels of the population.

METHODS

A multistage stratified random sampling method was used to survey participants in rural areas of China from July to September 2021, encompassing a total of 2597 rural residents from 960 rural households. Propensity score values were estimated using logit regression, and the propensity score matching method, using the K-nearest neighbor matching, radius matching, and kernel matching methods, was applied to create matched treatment and control samples of rural residents based on their experience of "offline-to-online" trust transfer. Subsequently, we calculated average treatment effect scores to compare the differences in utilizing online medical consultation between the treatment and control rural samples.

RESULTS

As many as 551/960 (57.4%) rural residents experienced an "offline-to-online" trust transfer, with a higher likelihood observed in the older population with lower levels of education and higher satisfaction with local health care services. Furthermore, rural residents who underwent "offline-to-online" trust transfer were 37%-40% more likely to utilize online medical consultation compared with those who did not experience this trust transfer. Additionally, family members of householders who underwent "offline-to-online" trust transfer were 25%-28% more likely to utilize online medical consultation than those whose householders did not experience this trust transfer. Notably, when compared with populations with high-level education, the "offline-to-online" trust transfer had more significant direct and spillover effects on the utilization of online medical consultation services among rural residents with low-level education.

CONCLUSIONS

To enhance the "offline-to-online" trust transfer among rural residents and its facilitation in their utilization of online medical consultation, as well as other mobile health (mHealth) and ubiquitous health (uHealth) services, we recommend that online health care providers adopt a "patient-oriented" service model. This approach aims to elevate rural residents' satisfaction with local health care services and harness the trust-building functions inherent in physician-patient relationships and among family members.

COVID-19 anxiety and related factors amid adjusted epidemic prevention policies: a cross-sectional study on patients with late-life depression in China

OBJECTIVES

To explore the prevalence and associated factors of COVID-19 anxiety in patients with late-life depression (LLD) during the adjustment of epidemic prevention policies in China.

DESIGN

Cross-sectional study.

SETTING

The data analysed in this study were collected from seven regions in China between November 2022 and January 2023.

PARTICIPANTS

A total of 1205 patients with LLD (aged 60-78 years) participated in the survey. They completed a social demographic assessment and the Chinese version of the five-point Coronavirus Anxiety Scale (CAS).

PRIMARY OUTCOME MEASURES

The primary outcome was the anxiety level of the participants. Patients were categorised into two groups based on their anxiety levels, one with anxiety and one without, according to CAS scores.

RESULTS

The prevalence of COVID-19 anxiety in depressed older adults was 47.3%. Regression analysis revealed that the average COVID-19 anxiety score was significantly higher among females (AOR: 2.177, 95% CI 1.201 to 3.947), widowed individuals (AOR: 3.015, 95% CI 1.379 to 6.591), patients residing at a distance from healthcare facilities (AOR: 3.765, 95% CI 1.906 to 7.438), and those who frequently experienced worry (AOR: 1.984, 95% CI 1.111 to 3.543). Conversely, the anxiety score was significantly lower among divorced individuals (AOR: 0.491, 95% CI 0.245 to 0.988), those aged 70 years and above (AOR: 0.117, 95% CI 0.064 to 0.213), patients without difficulty obtaining medication (AOR: 0.027, 95% CI 0.007 to 0.097), those living with family members (AOR: 0.080, 95% CI 0.022 to 0.282) or in nursing homes compared with those living alone (AOR: 0.019, 95% CI 0.004 to 0.087).

CONCLUSION

Women with LLD who are widowed, live far from healthcare facilities, and are prone to excessive worry are more likely to experience anxiety. It is advisable to implement appropriate preventive measures and provide psychosocial support programmes for this vulnerable group during the COVID-19 pandemic.

The Relationship Between Quality of Life and Depressive Symptoms Among Jordanian Community-Dwelling Older Adults

OBJECTIVE

The current study aimed to examine the relationship between depressive symptoms and quality of life among Jordanian community-dwelling older adults.

METHODS

A cross-sectional, descriptive correlational design was used. A convenience sample (N = 602) was selected to recruit the participants in the Amman governorate during the period from August to November 2021.

RESULTS

Findings demonstrated that the mean (SD) age of older adults was 67.5 (7.0) years and 51.5% of participants were females. Also, 54.1% of the participants experienced moderate to severe depressive symptoms with a total mean (SD) score was 8.57 on a scale of 0 to 15, while the mean (SD) for the quality of life scale was 12.12 (3.85) on a scale of 4 to 20. Significant differences existed in quality of life and depressive symptoms based on marital status (p < .001), educational level (p < .001), working status (p < .01), income (p < .001), and chronic disease (p < .01). Quality of life and its domains were negatively associated with depressive symptoms (B= - 0.596, p < .001). Also, marital status, working, educational level, income, and chronic disease were associated with depressive symptoms.

CONCLUSION

Strategies to improve quality of life should be promoted to minimize depressive symptoms among older adults and consider significant demographic factors.

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.

"I Am Not the Same as I Was Before": A Qualitative Analysis of COVID-19 Survivors

BACKGROUND

Little is known about the illness experience of patients' long-term emotional and physical recovery from severe COVID-19 infection. This study aimed to expand upon the recovery process of COVID-19 survivors up to 6 months after hospital discharge.

METHODS

Qualitative analysis of free-response answers from a cohort study of 152 patients ≥ 18 years hospitalized with laboratory-confirmed SARS-CoV-2 surveyed at 1-month post hospital discharge and 6-months post hospital discharge. Responses were analyzed with a grounded theory approach to identify overarching themes.

RESULTS

Participants described persistent complications, both physical and mental, that have affected their recovery from COVID-19. Five overarching themes of post-acute patient experiences were generated: (1) an increased awareness of a mind and body connection, (2) feelings of premature aging, (3) an overall decline in quality of life, (4) a continued fear of infection, and (5) methods of coping.

CONCLUSIONS

Patients described lasting changes to their mental health and overall quality of life in connection to physical complications after severe COVID-19 infection. Patients' reports of their experience call for a greater awareness of the psychological aspects of COVID-19 recovery to provide both physical and psychological rehabilitation services. Additional resources such as education around re-infection and financial resources are needed.

Information communication technology accessibility and mental health for older adults during the coronavirus disease in South Korea

Introduction

As society ages and the digital economy continues to develop, accessibility to information and communication technology (ICT) has emerged as a critical factor influencing the mental health of older adults. Particularly, in the aftermath of the COVID-19 pandemic, the need for non-face-to-face communication has significantly increased older adults' reliance on ICT for accessibility. This transition from a self-motivated engagement to a more socially passive mode of interaction highlights the importance of creating a digitally inclusive aging society.

Methods

This empirical study used pooled cross-sectional data from the Digital Gap Survey conducted in South Korea in 2018 and 2020. It aimed to analyze the association between ICT accessibility and the mental health of older adults during the COVID-19 pandemic.

Results

A significant positive relationship was found between ICT and mental health among older adults in South Korea. However, this positive association weakened during the COVID-19 period. Furthermore, the analysis revealed heterogeneity among older adults by age, sex, and place of residence, with older females in their 70s living in rural areas experiencing the greatest weakening.

Discussion

These results highlight the need for tailored interventions and support mechanisms for specific demographic groups of older adults. We recommend that the South Korean government implement various policies to facilitate the post-COVID-19 digital landscape. These include initiatives such as ICT-related education programs, development of user-friendly e-government systems, and creation of social media platforms designed to accommodate the needs and preferences of older adults.

Cognitive and social well-being in older adulthood: The CoSoWELL corpus of written life stories

This paper presents the Cognitive and Social WELL-being (CoSoWELL) project that consists of two components. One is a large corpus of narratives written by over 1000 North American older adults (55+ years old) in five test sessions before and during the first year of the COVID-19 pandemic. The other component is a rich collection of socio-demographic data collected through a survey from the same participants. This paper introduces the first release of the corpus consisting of 1.3 million tokens and the survey data (CoSoWELL version 1.0). It also presents a series of analyses validating design decisions for creating the corpus of narratives written about personal life events that took place in the distant past, recent past (yesterday) and future, along with control narratives. We report results of computational topic modeling and linguistic analyses of the narratives in the corpus, which track the time-locked impact of the COVID-19 pandemic on the content of autobiographical memories before and during the COVID-19 pandemic. The main findings demonstrate a high validity of our analytical approach to unique narrative data and point to both the locus of topical shifts (narratives about recent past and future) and their detailed timeline. We make the CoSoWELL corpus and survey data available to researchers and discuss implications of our findings in the framework of research on aging and autobiographical memories under stress.

Multimorbidity patterns in COVID-19 patients and their relationship with infection severity: MRisk-COVID study

BACKGROUND

Several chronic conditions have been identified as risk factors for severe COVID-19 infection, yet the implications of multimorbidity need to be explored. The objective of this study was to establish multimorbidity clusters from a cohort of COVID-19 patients and assess their relationship with infection severity/mortality.

METHODS

The MRisk-COVID Big Data study included 14 286 COVID-19 patients of the first wave in a Spanish region. The cohort was stratified by age and sex. Multimorbid individuals were subjected to a fuzzy c-means cluster analysis in order to identify multimorbidity clusters within each stratum. Bivariate analyses were performed to assess the relationship between severity/mortality and age, sex, and multimorbidity clusters.

RESULTS

Severe infection was reported in 9.5% (95% CI: 9.0-9.9) of the patients, and death occurred in 3.9% (95% CI: 3.6-4.2). We identified multimorbidity clusters related to severity/mortality in most age groups from 21 to 65 years. In males, the cluster with highest percentage of severity/mortality was Heart-liver-gastrointestinal (81-90 years, 34.1% severity, 29.5% mortality). In females, the clusters with the highest percentage of severity/mortality were Diabetes-cardiovascular (81-95 years, 22.5% severity) and Psychogeriatric (81-95 years, 16.0% mortality).

CONCLUSION

This study characterized several multimorbidity clusters in COVID-19 patients based on sex and age, some of which were found to be associated with higher rates of infection severity/mortality, particularly in younger individuals. Further research is encouraged to ascertain the role of specific multimorbidity patterns on infection prognosis and identify the most vulnerable morbidity profiles in the community.

TRIAL REGISTRATION

NCT04981249. Registered 4 August 2021 (retrospectively registered).

Global research trends related to coronavirus disease 2019 and the aged: a bibliometric analysis

BACKGROUND

A bibliometric analysis covering only the production of original studies or considering world production until 2022 has yet to be conducted. The creation and advancement of vaccines have also influenced research priorities, demonstrating the need for a new approach to this subject.

OBJECTIVES

To analyze worldwide scientific production related to coronavirus disease 2019 (COVID-19) and the aged and to describe what has already been produced.

DESIGN AND SETTING

Bibliometric analysis with a quantitative approach.

METHOD

The search terms "COVID-19," "SARS-CoV-2," "Aged," and "Elderly" were used to retrieve articles from the Web of Science database. A total of 684 articles were included in the analysis. Data were imported into RStudio Desktop Software and linked to R Software. The Bibliometrix R package and VOSviewer software were used for analysis.

RESULTS

Most articles were published in 2020. These were produced by 4,937 authors and published in 379 journals. The keyword most used by the authors was "COVID-19." Publications from 77 countries were obtained. China had the highest article production ranking, and Spain collaborated the most. The articles addressed the implications of the pandemic on the aged, the relationship between vaccination in the aged, and the implications for the disease itself.

CONCLUSION

Further research should be conducted, mainly concerning vaccines and vaccination of the aged, owing to the need for and importance of immunization in this risk group, including assessing the long-term effects of vaccines.

Development of a scale for capturing psychological aspects of physical-digital integration: relationships with psychosocial functioning and facial emotion recognition

The present work aims at developing a scale for the assessment of a construct that we called "physical-digital integration", which refers to the tendency of some individuals not to perceive a clear differentiation between feelings and perceptions that pertain to the physical or digital environment. The construct is articulated in four facets: identity, social relationships, time-space perception, and sensory perception. Data from a sample of 369 participants were collected to evaluate factor structure (unidimensional model, bifactor model, correlated four-factor model), internal consistency (Cronbach's α, McDonald's ω), and correlations of the physical-digital integration scale with other measures. Results showed that the scale is valid and internally consistent, and that both the total score and the scores at its four subscales are worthy of consideration. The physical-digital integration scores were found to be differently associated with digital and non-digital behaviors, individuals' ability to read emotions in the facial expressions of others, and indicators of psychosocial functioning (anxiety, depression, and satisfaction with social relationships). The paper proposes a new measure whose scores are associated with several variables that may have relevant consequences at both individual and social levels.

Aging in Place Through the COVID-19 Pandemic: Perspectives from Aging Service Providers

Formal and informal networks of resources are critical to supporting the growing number of older adults aging in place (AIP). Data are needed from aging-service providers about assets and barriers that impact their abilities to support AIP during the pandemic, as well as emergent needs resulting from response measures. A series of World Café workshops were conducted with aging-service providers in Salt Lake City, Utah, to understand supportive factors, service gaps, and future needs. Novel domains to support AIP in the context of the pandemic were identified: digital access and literacy, social isolation and mental health, and emergency preparedness. Issues related to access, equity, and affordability were identified as overarching themes across domains. Issues reflect concern over how the pandemic exacerbated socioeconomic and cultural disparities impacting older adults who benefit from aging services. Networks of advocacy and support are needed to bolster resources for older adults, caregivers, and aging-service providers.

Impact of the COVID-19 Pandemic on Individuals With Hearing Loss and Audiology Practice in a Developing Country

OBJECTIVE

This study aimed to determine the challenges faced by individuals with hearing loss at a time when many nations were attempting to move from the COVID-19 pandemic to endemic.

DESIGN

A cross-sectional survey was conducted on Malaysian adults with hearing loss to determine the impact of the COVID-19 crisis on hearing aid management, communication difficulties, psychosocial challenges, and access to audiological services.

STUDY SAMPLE

One hundred forty-six individuals aged 18 years old and above with hearing loss were recruited from hearing health care centers to participate in the survey.

RESULTS

Many of the participants (54.2%) reported significant difficulties communicating with people wearing face masks. For hearing aid management, repairing (36.3%) and fine-tuning devices (30.2%) were considered more challenging than obtaining a battery (21.3%). The COVID-19 pandemic had a serious psychosocial impact on a small portion of the individuals surveyed. Remote services were rarely offered by the audiologists, and most participants preferred in-person treatment. However, the majority perceived that creating awareness and training on telehealth was important.

CONCLUSIONS

Effective management for people with hearing loss needs to consider the challenges faced by them, as the world prepares to live with the coronavirus. Clinical protocols should consider providing a service that is helpful for the clients as well as safe and sustainable in future pandemics.

Digital technologies for mental health improvements in the COVID-19 pandemic: a scoping review

Digital technologies have been used to support mental health services for two decades, but the COVID-19 pandemic created a particular opportunity for greater utilization and more data-driven assessment of these digital technologies. This research aims to offer a scoping review of the characteristics and effectiveness of digital interventions that were employed to improve mental health in the real context of COVID-19 pandemic. A combination of search terms was applied for automatic search of publications in the relevant databases. The key features of included studies were extracted, including the intervention, participant, and study details. A total of 20 eligible studies were included in the final review, which were conducted across different geographic regions and among diverse cultural groups. Among them, fourteen studies mainly reported the impact of digital technologies on general population, while only one published study developed specific interventions for the isolated COVID-19 depressed patients in hospitals. Digital technologies identified in this review were mainly developed via web-based and mobile-based platforms, such as social networking and video conferencing applications. But less than half of them were aligned with theoretical approaches from standardized psychological treatments. Most of the studies have reported positive effects of digital technologies, either on improving general mental and emotional well-being or addressing specific conditions (e.g., depression, stress, and anxiety). This scoping review suggests that digital technologies hold promise in bridging the mental health-care gap during and after the COVID-19 pandemic, and calls for more rigorous studies to identify pertinent features that are likely to achieve more effective mental health outcomes.

Trajectory tracking of changes digital divide prediction factors in the elderly through machine learning

RESEARCH MOTIVATION

Recently, the digital divide problem among elderly individuals has been intensifying. A larger problem is that the level of use of digital technology varies from person to person. Therefore, a digital divide may even exist among elderly individuals. Considering the recent accelerating digital transformation in our society, it is highly likely that elderly individuals are experiencing many difficulties in their daily life. Therefore, it is necessary to quickly address and manage these difficulties.

RESEARCH OBJECTIVE

This study aims to predict the digital divide in the elderly population and provide essential insights into managing it. To this end, predictive analysis is performed using public data and machine learning techniques.

METHODS AND MATERIALS

This study used data from the '2020 Report on Digital Information Divide Survey' published by the Korea National Information Society Agency. In establishing the prediction model, various independent variables were used. Ten variables with high importance for predicting the digital divide were identified and used as critical, independent variables to increase the convenience of analyzing the model. The data were divided into 70% for training and 30% for testing. The model was trained on the training set, and the model's predictive accuracy was analyzed on the test set. The prediction accuracy was analyzed using logistic regression (LR), support vector machine (SVM), K-nearest neighbor (KNN), decision tree (DT), and eXtreme gradient boosting (XGBoost). A convolutional neural network (CNN) was used to further improve the accuracy. In addition, the importance of variables was analyzed using data from 2019 before the COVID-19 outbreak, and the results were compared with the results from 2020.

RESULTS

The study results showed that the variables with high importance in the 2020 data predicting the digital divide of elderly individuals were the demographic perspective, internet usage perspective, self-efficacy perspective, and social connectedness perspective. These variables, as well as the social support perspective, were highly important in 2019. The highest prediction accuracy was achieved using the CNN-based model (accuracy: 80.4%), followed by the XGBoost model (accuracy: 79%) and LR model (accuracy: 78.3%). The lowest accuracy (accuracy: 72.6%) was obtained using the DT model.

DISCUSSION

The results of this analysis suggest that support that can strengthen the practical connection of elderly individuals through digital devices is becoming more critical than ever in a situation where digital transformation is accelerating in various fields. In addition, it is necessary to comprehensively use classification algorithms from various academic fields when constructing a classification model to obtain higher prediction accuracy.

CONCLUSION

The academic significance of this study is that the CNN, which is often employed in image and video processing, was extended and applied to a social science field using structured data to improve the accuracy of the prediction model. The practical significance of this study is that the prediction models and the analytical methodologies proposed in this article can be applied to classify elderly people affected by the digital divide, and the trained models can be used to predict the people of younger generations who may be affected by the digital divide. Another practical significance of this study is that, as a method for managing individuals who are affected by a digital divide, the self-efficacy perspective about acquiring and using ICTs and the socially connected perspective are suggested in addition to the demographic perspective and the internet usage perspective.

Managers' and Administrators' Perspectives on Digital Technology Use in Regional Long-Term Care Homes During the COVID-19 Pandemic

In this paper, we explore managers' and administrators' perspectives on digital technology use for residents during province-wide lockdowns (June-August 2021) during the COVID-19 pandemic in seven regional long-term care homes (LTC) in Niagara, Canada. Fifteen semi-structured interviews were conducted with participants representing operational, financial, and recreational departments where we discussed their needs and factors influencing the use of digital technology during the phases of increased restrictions on visitors and social isolation. Our findings indicate extensive use of cellular devices including smartphones, however additional iPads were needed to meet the ever-rising demand for virtual connections. Almost all participants revealed supportive leadership, redeployed staff, and community donations as main facilitators for technology use. Barriers related to managing varying elderly cognitive capacities and technical issues affected technology use. Based on our findings, we conclude that financial commitment and community support are integral for future-proofing LTC homes with technological innovations.

Digitally Deprived Children in Europe

The COVID-19 pandemic has completely changed the need for internet connectivity and technological devices across the population, but especially among school-aged children. For a large proportion of pupils, access to a connected computer nowadays makes the difference between being able to keep up with their educational development and falling badly behind. This paper provides a detailed account of the digitally deprived children in Europe, according to the latest available wave of the European Union - Statistics on Income and Living Conditions (EU-SILC). We find that 5.4% of school-aged children in Europe are digitally deprived and that differences are large across countries. Children that cohabit with low-educated parents, in poverty or in severe material deprivation are those most affected.

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.

Digital affinitiy and cognitive reserve: Salience for resilient aging in pandemic

Objective: The study aimed to analyze the impact of technology in the older adults after acute pandemic regarding to the development of digital confidence. Method: A sample of n. 56 healthy older adults (N = 22 female, N = 34 male) aged 64 to 86 years (M = 73.7, SD = 6.40) participated in observational study. The sample was distributed in two groups: (a) pre-COVID and (b) post-COVID. Psychological battery was applied: Mini-Mental State Examination, Cognitive Reserve Index Questionnaire, Beck Depression Inventory-II, Affinity for Technology Interaction Scale, and then Digital Mastery Questionnaire. Descriptive and (M)ANOVA statistical analyses have been applied. Results: Our results confirmed the increase in technology usage among elders, the higher use of smart devices and then more confident digital daily living; then, the improving of digital affinity for technology and higher adherence in seniors than older. In sex effect, men seemed developing higher digital confidence for digital experience, for access and use of financial online services than women. In the process of improvement by massive digital experience in daily living the cognitive reserve had relevant influence: elders with high level of cognitive reserve appeared to enhance own competence in digital mastery and affinity for technology. Conclusions: Our study highlighted the higher cognitive reserve being protective in older adults favoring the efficacy to the changing in daily living as well the develop of adaptive behaviors in order to achieve high Quality of Life.

Analyzing the use of videoconference by and for older adults in nursing homes: an interdisciplinary approach to learn from the pandemic

Introduction

During the Covid-19 pandemic and the resulting visitation restrictions, digital tools were used in many nursing homes in France to allow the older adults and their relatives to maintain social contact via videoconferencing. This article adopts an interdisciplinary approach to analyze the processes that affect the use of digital technologies.

Methods

Drawing on the concept of "mediation," it seeks to shed light on how individuals embrace these tools in a relational situation. The interviews and observations undertaken among residents, their relatives, professionals, and the management head of seven nursing homes in 2021, make it possible to outline the different forms of practices and uses and to identify the factors leading to the variations observed.

Results

While the key objective of these technical and technological tools is to compensate - on a functional level - for the communication problems and the isolation of individuals in order to promote residents' "quality of life" by maintaining "social contact," our study reveals that these tools' uses and practices largely differ. It also shows considerable inequalities in terms of residents' acquisition of subjective feelings of ownership of the tools. These are never attributed to isolated physical, cognitive, psychic, and social difficulties, but are influenced by specific organizational, interactional, and psychic configurations. Some of the structures analyzed revealed situations in which mediation failed, occasionally exposing the risk associated with seeking "ties at all costs," or revealing a disturbing strangeness when residents were placed in front of screens. Some configurations, however, showed that it was possible to set up an intermediate space for the experience to unfold, which in turn opened up a space where individuals, groups, and institutions could experiment, allowing them to develop subjective feelings of ownership of this experience.

Discussion

This article discusses how the configurations that failed to promote the mediation process reveal the need to assess the representations of care and assistance in the relationships between older adults, their loved ones, and nursing home professionals. Indeed, in certain situations, the use of videoconferencing, while seeking to produce a positive effect, risks displacing and increasing the effects of the "negative" associated with dependency, which may worsen individuals' difficulties within nursing homes. The risks associated with the failure to take into account residents' requests and consent explain why it is important to discuss how certain uses of digital tools may renew the dilemma between concerns for protection, on the one hand, and respect for autonomy on the other.

COVID-19 Era and the Constantly Reemerging Novel SARS-CoV-2 Variants Calls for Special Attention for the Geriatrics: A Real Challenge

Global public health is significantly challenged due to the continuing COrona VIrus Disease 2019 (COVID-19) outbreak brought forth by the severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) [...].

The clinical characteristics and the risk factors for mortality in Non-COVID-19 critical patients in a pandemic hospital in Turkey: a retrospective cross-sectional study

Background

Coronavirus disease 2019 (COVID-19) disrupted standard health policies and routine medical care, and thus, the management and treatment pathways of many clinical conditions have changed as never before. The negative impact of the pandemic rendered the systemic disease more complicated and accelerated mortality. For the last two years, clinicians have primarily focused on COVID-19 patients; however, the non-COVID-19 critically ill patients needed to be addressed from multiple perspectives. This study investigated the demographic and clinical characteristics of non-COVID-19 critical care patients admitted concurrently with a COVID-19 wave. The objective of this study was to identify the risk factors for mortality in critically ill non-COVID-19 patients.

Methods

All consecutive cases admitted to the intensive care unit (ICU) were included in the study between January 1, 2021 and July 14, 2021. All data, including age, gender, admission characteristics, patient dependency, pre-existing systemic diseases, the severity of illness (Acute Physiology and Chronic Health Evaluation -APACHE-II), predicted death rate in ICU, life-sustaining medical procedures on admission or during ICU stay, length of stay, and admission time to the ICU, were obtained from the hospital's electronic database. The Charlson Comorbidity Index (CCI) was assessed for all patients.

Results

A total of 192 patients were screened during the study period. Mortality was significantly increased in non-surgical patients, previously dependent patients, patients requiring mechanical ventilation, continuous renal replacement therapy, and patients requiring the infusion of vasoactive medications. The number of pre-existing diseases and the admission time had no impact on mortality. The mean CCI was significantly higher in non-survivors but was not a strong predictor of mortality as APACHE II.

Conclusions

In this retrospective study, the severity of illness and the need for vasoactive agent infusion were significantly higher in non-survivors confirmed by multivariate analysis as predictive factors for mortality in critical non-COVID-19 patients.

COVID-19 related anxiety and its associated factors: a cross-sectional study on older adults in Bangladesh

BACKGROUND

The COVID-19 pandemic has resulted in serious mental health conditions, particularly among older adults. This research explored the prevalence of COVID-19-related anxiety and its associated factors among older adults residing in Bangladesh.

METHODS

This cross-sectional study was conducted among 1,045 older Bangladeshi adults aged ≥ 60 years through telephone interviews in September 2021. A semi-structured interview schedule was used to collect data on participants' characteristics and COVID-19-related anxiety. The anxiety level was measured using the Bengali version of the five-point Coronavirus Anxiety Scale (CAS). A linear regression model explored the factors associated with COVID-19-related anxiety.

RESULTS

Overall, the prevalence of COVID-19-related anxiety was 23.2%. The regression analysis revealed that the average COVID-19-related anxiety score was significantly higher among females (β: 0.43, 95% CI: 0.05 to 0.81), and among those who faced difficulty getting medicine (β: 0.57, 95% CI: 0.16 to 0.97), felt isolated (β: 0.60, 95% CI: 0.24 to 0.95), and felt requiring additional care during the pandemic (β: 0.53, 95% CI: 0.16 to 0.91). Alternatively, the average COVID-19-related anxiety score was significantly lower among those who were widowed (β: -0.46, 95% CI: -0.87 to -0.04) and living distant from the health centre (β: -0.48, 95% CI: -0.79 to -0.17).

CONCLUSION

The findings of the present study suggest providing immediate psychosocial support package to the older adults, particularly females and those who are vulnerable to receive health and social care support during the COVID-19 pandemic in Bangladesh.

Current Status and Associated Factors of Health Information Literacy Among the Community Elderly in Central China in the COVID-19 Pandemic: A Cross-Sectional Study

Purpose

COVID-19 posed a threat to the public's physical and mental health, and under outbreak control, the opportunities to go outside of the elderly have been reduced and making it more difficult to access health information and detrimental to their health management. This study aims to assess the current status of health information literacy (HIL) among older adults in the community in the context of COVID-19 and to identify its associated factors.

Methods

A cross-sectional survey was conducted from April to July, 2021, for which 617 community elderly members were recruited in Chenzhou, China. Data were collected through a general information questionnaire, The Chinese residents' HIL self-rated scale and a reliability evaluation form.

Results

The average score of HIL was 75.87 ± 9.85, and after processed by the 100-point system, we found 84.12% (519/617) of the participants scored less than 60 points, which indicates that the overall level of HIL among the community elderly is low. Multiple linear regression showed that age, gender, education, annual family Income, living arrangement, and chronic disease status (β = -0.341, -0.296, 0.384, 0.327, 0.296, 0.356, respectively; all P < 0.001) were significantly associated with the level of HIL found among the community elderly, out of which education was the most important associated factor.

Conclusion

The overall HIL level among the community elderly was low in Central China during the COVID-19 pandemic. Our results further prove the need for tailor-made health education programs for this group, with particular attention paid to the low-educated and low-income among them. Those measures must highlight on three aspects of health information search, evaluation, and application skills to offer useful experiences that improve the HIL level of the elderly and strengthen their ability to cope with emerging public health events.

Caring for Older People during and beyond the COVID-19 Pandemic: Experiences of Residential Health Care Workers

Older people and health care workers in residential care homes are particularly vulnerable to the adverse impacts of the COVID-19 pandemic. As COVID-19 has been spreading around the world for more than two years, the nature of care delivery has been substantially transformed. This study aims at understanding the long-term and ongoing impacts of COVID-19 on the delivery of care in residential care homes. It investigates how the delivery of care has been transformed by the COVID-19 pandemic and how health care workers adapted to these changes from the perspectives of frontline health care workers. Semi-structured interviews were conducted from February to December 2021 with a purposive sample of 30 health care workers from six residential care homes in Hong Kong. Thematic analysis identified three themes, including (1) enhancing infection prevention and control measures; (2) maintaining the psychosocial wellbeing of residents; and (3) developing resilience. Discussions and implications were drawn from these findings.

Do open data impact citizens' behavior? Assessing face mask panic buying behaviors during the Covid-19 pandemic

Data are essential for digital solutions and supporting citizens' everyday behavior. Open data initiatives have expanded worldwide in the last decades, yet investigating the actual usage of open data and evaluating their impacts are insufficient. Thus, in this paper, we examine an exemplary use case of open data during the early stage of the Covid-19 pandemic and assess its impacts on citizens. Based on quasi-experimental methods, the study found that publishing local stores' real-time face mask stock levels as open data may have influenced people's purchase behaviors. Results indicate a reduced panic buying behavior as a consequence of the openly accessible information in the form of an online mask map. Furthermore, the results also suggested that such open-data-based countermeasures did not equally impact every citizen and rather varied among socioeconomic conditions, in particular the education level.

The effect of COVID-19 on the home behaviours of people affected by dementia

The COVID-19 pandemic has dramatically altered the behaviour of most of the world’s population, particularly affecting the elderly, including people living with dementia (PLwD). Here we use remote home monitoring technology deployed into 31 homes of PLwD living in the UK to investigate the effects of COVID-19 on behaviour within the home, including social isolation. The home activity was monitored continuously using unobtrusive sensors for 498 days from 1 December 2019 to 12 April 2021. This period included six distinct pandemic phases with differing public health measures, including three periods of home ‘lockdown’. Linear mixed-effects modelling is used to examine changes in the home activity of PLwD who lived alone or with others. An algorithm is developed to quantify time spent outside the home. Increased home activity is observed from very early in the pandemic, with a significant decrease in the time spent outside produced by the first lockdown. The study demonstrates the effects of COVID-19 lockdown on home behaviours in PLwD and shows how unobtrusive home monitoring can be used to track behaviours relevant to social isolation.

COVID-19 impacts on residential occupancy schedules and activities in U.S. Homes in 2020 using ATUS

Many aspects of the daily lives of those living in the United States were substantially impacted by the COVID-19 pandemic in the year 2020. A broad diversity of measures was implemented to curb the spread of the virus, many of which included adjustments to where and how people worked, went to school, and otherwise conducted their daily lives compared to pre-pandemic times. This has impacted how residential buildings are used, how much time people spend in their homes, and as a result, how much energy these buildings consume. The main objective of this study is to analyze, at a national scale, the differences in the occupancy schedules and activities conducted in homes in the U.S., as compared to pre-pandemic. 15 years of American Time Use Survey and Current Population Survey data, from 2006 to 2020, was used in this study to analyze the occupancy schedules for both pandemic (2020) and pre-pandemic (2006-2019) times. These impacts were also analyzed with respect to variables including, weekday/weekend, month of the year, age of the occupants, household income, and household size. The impact of the pandemic on occupant schedules were most substantial in the initial months, whereas as the months progressed, these occupancy profiles slowly changed. Across 2020, people spent, on average, 8 % more time (1.9 h) in their home on weekdays, and 3-6 % (1.2 h) on weekend days. The percentage of time spent for different activities and locations within homes were also studied. For 1-member households, their time spent at home decreased whereas for 2-, 3-, and 4- member households, they spent more time at home. Overall, people spent around 45% more time doing office- and work-related activities at home compared to pre-pandemic, which is likely due to increased remote working and schooling. This research helps to improve the understanding of the occupancy presence and absence profiles in U.S. residential buildings due to the pandemic and provides new insights as to modified profiles for researchers, building designers, and policy makers.

Digital Divide: Barriers to Accessing Online Government Services in Canada

This study investigates the digital divide in Canada related to access to online government services. Since digital equity can have welfare implications, it is an important area to explore. We use a bivariate logit model to estimate the determinants of access to e-government services. The results show significant disadvantages for females, those who cannot speak official languages, those living in rural areas and those in the lower quantiles of household income. Public policy measures such as infrastructure development in rural areas, improvement in digital equity and streamlining of e-government access can help address this issue.

Loneliness and its correlates among Bangladeshi older adults during the COVID-19 pandemic

The present study aims to investigate the prevalence of loneliness and its associated factors among older adults during the COVID-19 pandemic in Bangladesh. This cross-sectional study was conducted in October 2020 among 1032 older Bangladeshi adults aged 60 years and above through telephone interviews. A semi-structured questionnaire was used to collect information on participants' characteristics and COVID-19-related information. Meanwhile, the level of loneliness was measured using a 3-item UCLA Loneliness scale. More than half (51.5%) of the older adults experienced loneliness. We found that participants formally schooled [adjusted odds ratio (aOR = 0.62, 95% CI 0.43-0.88)] and received COVID-19-related information from health workers (aOR = 0.33, 95% CI 0.22-0.49) had lower odds of being lonely during the pandemic. However, older adults living alone (aOR: 2.57, 95% CI 1.34-4.94), residing distant from a health facility (aOR = 1.46, 95% CI 1.02-2.08) and in rural areas (aOR = 1.53, 95% CI 1.02-2.23) had higher odds of loneliness than their counterparts. Likewise, odds of loneliness were higher among those overwhelmed by COVID-19 (aOR = 1.93, 95% CI 1.29-2.86), who faced difficulty in earning (aOR = 1.77, 95% CI 1.18-2.67) and receiving routine medical care during pandemic (aOR = 2.94, 95% CI 1.78-4.87), and those perceiving requiring additional care during the pandemic (aOR = 6.01, 95% CI 3.80-9.49). The findings suggest that policies and plans should be directed to reduce loneliness among older adults who require additional care.

Research on the influence mechanism and governance mechanism of digital divide for the elderly on wisdom healthcare: The role of artificial intelligence and big data

With the rapid development of digital information technology, life has become more convenient for people; however, the digital divide for the elderly was even more serious, so they became a forgotten group in the internet age over time. Residents' demand for healthcare is rising, but the wisdom healthcare service supported by digital information technology is less acceptable to the elderly due to the digital divide. Based on the knowledge gap theory and combining the value perception and satisfaction model, this study explores the influence of the digital divide for the elderly on wisdom healthcare satisfaction and takes the perceived value of wisdom healthcare as a mediator, and artificial intelligence and big data as moderators into the research framework. Based on the data of 1,052 elderly people in China, the results show that the digital divide for the elderly has a negative influence on wisdom healthcare satisfaction and perceived value. Moreover, it is found that wisdom healthcare perception value mediated the relationship between the digital divide for the elderly and the wisdom healthcare satisfaction, which enhances the negative effect of the digital divide for the elderly on wisdom healthcare satisfaction. Furthermore, the moderating effect of artificial intelligence and big data on the relationship between the digital divide for the elderly and the perceived value of wisdom healthcare is opposite to that between the perceived value of wisdom healthcare and wisdom healthcare satisfaction. Therefore, this study has a reference value for the development and optimization of smart medical industry.

Psychological Resilience Level after Cognitive-Behavior Therapy in Old People with Empty Nest Syndrome - A single-case Experimental Design

OBJECTIVES

The aim of this study was to investigate the impact of Cognitive-Behavior Therapy (CBT) on resilience in old people with "empty nest syndrome."

METHODS

Three older adults with empty nest syndrome underwent CBT for 8 weeks in a single-case experimental design. Changes in resilience were tracked through measurements at baseline, intervention, and follow-up. Visual analysis as well as an effect size index of Percentage of Nonoverlapping Data (PND) were then analyzed.

RESULTS

CBT resulted in a significant increase in psychological resilience for all three participants across the intervention phase. Follow-up data showed that all subjects were able to maintain their resiliency four weeks after the intervention.

CONCLUSIONS

This single-case experimental study supports the hypothesis that CBT improves resiliency in old people with empty nest syndrome.

CLINICAL IMPLICATIONS

Cognitive Behavior Therapy is effective in increasing resiliency in old people with empty nest syndrome. The culture dynamics is an important component in the emergence and persistence of empty nest syndrome.

Characteristics of mental health stability during COVID-19: An online survey with people residing in a city region of the North West of England

Background and aim

Despite the significant mental health challenges the COVID-19 pandemic and its associated government measures have presented, research has shown that the majority of people have adapted and coped well. The aim of this study was i) to determine the proportion of people with mental stability and volatility during the pandemic in a North West England city region sample and ii) to establish group differences in psychosocial variables. Mental stability and volatility refer to the extent to which individuals reported change in levels of common mental health symptoms over the course of 12 weeks. No change in mental health over the 12 weeks reflected mental stability whilst change in mental health reflected mental volatility.

Method

A two-wave-online survey (N = 163) was used to explore the psychological and social impact of the pandemic on relatively disadvantaged neighbourhoods within the region. The data collected represents 12 weeks of individual pandemic experience between mid-June and mid-December 2020. A three-level composite common mental health change variable was created combining self-reported anxiety and depression to group stable, volatile, and very volatile individuals in terms of the changeability of their mental health. Kruskal-Wallis with post-hoc tests were used to determine how people with mental stability and volatility differed on factors categorised within an ecological framework of resilience (individual, community, societal, and COVID-19 specific).

Results

Individuals categorised as ‘stable’ in terms of mental health symptoms (63.6%) had better mental and physical health; were more tolerant of uncertainty; and reported higher levels of resilience and wellbeing compared to ‘very volatile’ people (19.8%). These individuals also reported feeling less socially isolated, experienced a greater sense of belonging to their community which was more likely to fulfil their needs, and were more likely to have access to green space nearby for their recommended daily exercise. ‘Stable’ individuals did not report worrying any more during the pandemic than usual and tolerated uncertainty better compared to those in the ‘volatile’ group.

Implications

The majority of participants in this sample were mentally stable and coping well with the challenges presented by the pandemic. The resilience of these individuals was related to key place-based factors such as a strong sense of community and useable local assets. The data showcase the role of place-based social determinants in supporting resilience and thereby highlight key preventative measures for public mental health during times of international crisis.

Guillain-Barré syndrome following SARS-CoV-2 vaccination in the UK: a prospective surveillance study

Objective

To investigate features of Guillain-Barré syndrome (GBS) following SARS-CoV-2 vaccines and evaluate for a causal link between the two.

Methods

We captured cases of GBS after SARS-CoV-2 vaccination through a national, open-access, online surveillance system. For each case, the certainty of GBS was graded using the Brighton criteria, and the relationship to the vaccine was examined using modified WHO Causality Assessment criteria. We compared age distribution of cases with that of prepandemic GBS cases and clinical features with the International GBS Outcome Study (IGOS).

Results

Between 1 January and 30 June 2021, we received 67 reports of GBS following the ChAdOx1 vaccine (65 first doses) and three reports following the BNT162b2 vaccine (all first doses). The causal association with the vaccine was classified as probable for 56 (80%, all ChAdOx1), possible for 12 (17%, 10 ChAdOx1) and unlikely for two (3%, 1 ChAdOx1). A greater proportion of cases occurred in the 50–59 age group in comparison with prepandemic GBS. Most common clinical variants were sensorimotor GBS (n=55; 79%) and facial diplegia with paraesthesias (n=10; 14%). 10% (n=7/69) of patients reported an antecedent infection, compared with 77% (n=502/652) of the IGOS cohort (p<0.00001). Facial weakness (63% (n=44/70) vs 36% (n=220/620); p<0.00001) and sensory dysfunction (93% (n=63/68) vs 69% (n=408/588); p=0.00005) were more common but disease severity and outcomes were similar to the IGOS study.

Interpretation

Most reports of GBS followed the first dose of ChAdOx1 vaccine. While our study cannot confirm or refute causation, this observation, together with the absence of alternative aetiologies, different than expected age distribution and the presence of unusual clinical features support a causal link. Clinicians and surveillance bodies should remain vigilant to the possibility of this very rare adverse event and its atypical variants.

Mature and Older Adults’ Perception of Active Ageing and the Need for Supporting Services: Insights from a Qualitative Study

The improvement in life expectancy, economic conditions, and technological and medical progress have radically changed the demographic structure of many societies. Since many countries now have an ageing population, by adopting a life-course study perspective, this paper aims to explore the needs of older adults (over 60), and the currently adult population which will become older in the coming decades (50–60 years). In detail, the study investigates the lifestyles of the target populations by focusing on two main areas concerning health (healthy diet; attitudes towards physical activity) and socio-relational-housing and living conditions (social housing, senior co-housing in rural environments, etc.). A qualitative study was carried out based on 16 in-depth interviews developed over one month (February 2022). The conduct of the interviews was supported by the Italian Center for Sensory Analysis (CIAS). Emerging from the results, the concept of active ageing is perceived by mature and older adults in a positive and optimistic way. The sample considered want to re-engage in life, continuing to be active, useful, and maintaining their self-esteem, social life and independence. However, despite older people’s major concerns being preserve their physical abilities and social integration, this target group adopts behaviours focused more on current well-being rather than worrying too much about how this well-being will change as they age.

Knowledge, Attitude and Practices Toward Coronavirus Disease (COVID- 19) in Southeast and South Asia: A Mixed Study Design Approach

Background

Coronavirus has spread to almost every country since its emergence in Wuhan, China and countries have been adopted an array of measures to control the rapid spread of the epidemic. Here, we aimed to assess the person's knowledge, attitude and practices (KAP) toward the COVID-19 epidemic in Southeast and South Asia applying the mixed study design (cross-sectional and systematic review).

Methods

In the cross-sectional study, 743 respondents' socio-demographic and KAP-related information was collected through an online population-based survey from the Malaysian population. In the systematic review, the database PubMed, Web of Science and Google Scholar search engine were searched and related published articles from South and Southeast Asia were included. Frequency distribution, Chi-square association test and binary logistic regression were fitted using cross-sectional data whereas random effect model and study bias were performed in meta-analysis. We used 95% confidence interval and P <0.05 as statistical significances.

Results

The prevalence of good knowledge, positive attitude and frequent practice toward COVID-19 epidemic were 52.6%, 51.8% and 57.1%, respectively, obtained by cross-sectional data analysis. The KAP prevalence were ranged from 26.53% (Thailand) to 95.4% (Nepal); 59.3% (Turkey) to 92.5% (Pakistan); and 50.2 (Turkey) to 97% (Afghanistan), respectively, obtained by 18 studies included in the meta-analysis. The prevalence of KAP was higher [84% vs. 79%, Pheterogeneity <0.001; 83% vs. 80%, Pheterogeneity <0.001; 85% vs. 83%, Pheterogeneity <0.001] in South Asia compared to Southeast Asia, obtained by subgroup analysis. Some studies reported mean level instead of the proportion of the KAP where the score varied from 8.15-13.14; 2.33-33.0; and 1.97-31.03, respectively. Having more knowledge and attitude were encouraged more likely to practice toward COVID-19. Study suggests age, gender, education, place of residence and occupation as the most frequent significant risk factors of KAP toward COVID-19.

Conclusion

The study sufficiently informs how other countries in Southeast and South Asia enriches their KAP behaviors during the pandemic which may help health professionals and policymakers to develop targeted interventions and effective practices.

Virtual Intergenerational Reverse-Mentoring Program Reduces Loneliness among Older Adults: Results from a Pilot Evaluation

Social isolation and loneliness can create negative health outcomes for older adults. Informed by social capital and intergroup contact theories, our goal was to reduce these social problems using an intergenerational reverse-mentoring program. During fall 2020, we implemented an adapted, fully online version of Cyber-Seniors that encouraged undergraduate students to provide technology mentoring to local older adults in a seven-county area in rural Appalachia. We recruited gerontology students through the university and local older adults through local aging organizations. We collected data through pre-and post-tests that included validated measures (Lubben Social Network Scale-6 and UCLA 3-item loneliness scale) and open-ended questions about the program. Thirty-one students and nine older adults completed the pre-survey; twenty students and eight older adults completed the post-survey. We made comparisons using t-tests and considered p < 0.20 to indicate meaningful differences given the anticipated small sample size in this pilot project. Isolation did not change among older adults but increased among students in the family domain (p = 0.14) between baseline and follow-up. Loneliness improved between the pre- and post-tests among older adults (mean: 5.6 (SD = 2.2) to 4.1 (SD = 1.3), p = 0.17) but not among students (mean: 5.0 (SD = 1.5) to 5.2 (SD = 1.7), p = 0.73). In open-ended responses, older adults described learning new ways to interact with friends and family as a result of the program. This program was acceptable and suggested effectiveness in an important health-related domain (loneliness). While larger studies are needed to fully test the program’s impact, this pilot evaluation suggests that reverse mentoring programs can be implemented virtually and may improve social outcomes.

Modes of relating to the new ICTs among older internet users: a qualitative approach

Older people have increasingly been using the new information and communication technologies (ICTs), namely the internet. Seeking to contribute with substantive information on their digital inclusion, this paper focuses on the adoption and use of ICTs by older adults, highlighting their experiences and considering their plurality. Taking a qualitative approach, the core goal of the empirical research underlying this paper was to understand what mechanisms and modalities configure the relationship of older internet users with the new ICTs. With that objective in mind, interviews were conducted with 20 internet users over the age of 60. Those interviews, which included a biographical element, were subjected to multi-categorical analysis. Results suggest a typology of modes of relating to the new ICTs among older internet users that reflects different trajectories, practices, skills, significances and impacts. The analysis shows how life trajectories and differentiated uses are reflected in equally differentiated impacts for older adults, contributing to their quality of life in different ways and to different degrees. Digital skills play a fundamental role in enhancing or limiting those effects. The results of this research help break down the stereotypes associated with the older generations and may have relevant implications for the design of digital inclusion policies and initiatives.