Socioeconomic Disparities in the demand for and use of virtual visits among senior adults during the COVID-19 pandemic: A cross-sectional study (Preprint)

Navigating the Digital Divide: Exploring the Drivers, Drawbacks, and Prospects of Social Interaction Technologies' Adoption and Usage Among Older Adults During COVID-19

The COVID-19 pandemic underscored the critical role of social interaction technologies (SITs) in mitigating loneliness and social isolation, particularly among older adults. However, challenges such as the digital divide, physical and cognitive declines, and digital literacy gaps persist. This article seeks to explore the drivers, drawbacks, and prospects of SITs' adoption during the pandemic. The paper employs a narrative review approach, using targeted phrases and keywords, including "COVID-19 pandemic and digital engagement," "digital technologies usage among older adults/people during COVID-19," and "drivers of digital technologies adoption among older adults/people during COVID-19." Articles were retrieved through Google Scholar searches conducted between October 2023 and December 2024. In line with key findings, we propose evidence-based recommendations, including user-centered digital communication technology design, the need to balance digital engagement with healthy physical activity, and personalized digital literacy programs, to enhance SITs' accessibility and usability for older adults.

The level of electronic health literacy among older adults: a systematic review and meta-analysis

BACKGROUND

In the context of deeper integration of the internet and healthcare services, eHealth literacy levels have become an important predictor of public health outcomes and health-promoting behaviors. However, there is a lack of comprehensive understanding of eHealth literacy levels among older adults.

OBJECTIVE

To systematically assess the level of eHealth literacy among older adults.

METHODS

We conducted searches in MEDLINE, Embase, Web of Science, CINAHL, PsycINFO, China National Knowledge Infrastructure Database (CNKI), Wanfang Database, Weipu Database (VIP), and Chinese Biomedical Database (Sinomed) to collect survey studies on the eHealth literacy levels of the older adults, with a search timeframe from the establishment of the database to May 2024. The quality of the included literature was assessed using the Agency for Healthcare Research and Quality (AHRQ) and the Newcastle-Ottawa Scale (NOS). Additionally, subgroup analysis and meta-regression were conducted to detect sources of heterogeneity. Funnel plots and Egger's test were used to assess publication bias.

RESULTS

A total of 48 relevant studies were included, including 45 cross-sectional, 2 cohort studies and 1 longitudinal study, comprising 33,919 older adults. The quality of the studies was all above moderate, with 10 high-quality publications. Meta-integration results showed that the eHealth literacy score of older adults was 21.45 (95% CI:19.81-23.08). Subgroup analysis showed that among the elderly population, females had lower eHealth literacy at 19.13 (95% CI:15.83-22.42), those aged 80 years and older had lower eHealth literacy at 16.55 (95% CI:11.73-21.38), and elderly individuals without a spouse and living alone had even lower eHealth literacy at 18.88 (95% CI:15.71-22.04) and 16.03 (95% CI:16.51-21.79). Based on region, eHealth literacy was lower among older adults in developing countries at 20.71 (95% CI:18.95-22.48). Meta-regression results indicate that sample size and region can significantly impact heterogeneity.

CONCLUSION

Our results found that the average eHealth literacy score of the elderly was 21.45, which was much lower than the passing level (≥ 32), suggesting that more attention should be paid to the eHealth literacy aspect of the elderly. Meanwhile, due to the limitation of the literature sources, the global representativeness of the results of this study still needs to be supported by more research data from other countries.

Impact of virtual consultations on quality of care in type 2 diabetes: a systematic review and narrative synthesis protocol

BACKGROUND

Around 463 million people globally have diabetes, of which over 90% have type 2 diabetes (T2D). Projections indicate an expected increase to 700 million by 2045. The COVID-19 pandemic accelerated digital health uptake, establishing virtual consultations as a feasible alternative to traditional in-person care. Despite promising preliminary evidence, a comprehensive review is needed to fully assess the impact of virtual consultations on diabetes care. This review aims to systematically evaluate the impact of remote consultations on the quality of care provided to persons with T2D, by mapping impacts against the six quality domains outlined by the National Academy of Medicine (NAM) (ie, patient-centeredness, effectiveness, efficiency, timeliness, equity and safety).

METHODS AND ANALYSIS

PubMed/MEDLINE (Medical Literature Analysis and Retrieval System Online), COCHRANE Library, EMBASE (Excerpta Medica Database), CINAHL (Cumulative Index to Nursing and Allied Health Literature) and Web of Science will be searched for studies published between 2010 and 2024. Primary outcomes will include any quality measures pertaining to the NAM domains for adult patients accessing virtual consultations. The Cochrane Collaboration's tool will be used to assess the quality of the randomised studies, and the Risk of Bias in Non-Randomised Studies of Interventions will be used for non-randomised studies. The findings will be summarised as a narrative synthesis. This systematic review protocol was registered with the International Prospective Register of Systematic Reviews on 15 November 2023 (registration number: CRD42023474219).

ETHICS AND DISSEMINATION

This review will not include primary data and therefore does not require ethical approval. This protocol complies with the Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols guidelines. Findings will be disseminated as academic publications and conference presentations and summarised into patient-led lay summaries.

Disparities in self-reported healthcare access for airways disease in British Columbia, Canada, during the COVID-19 pandemic. Insights from a survey co-developed with people living with asthma and chronic obstructive pulmonary disease

Patients' perspectives on the impact of the COVID-19 pandemic on their access to asthma and COPD healthcare could inform better, more equitable care delivery. We demonstrate this topic using British Columbia (BC), Canada, where the impact of the pandemic has not been described. We co-designed a cross-sectional survey with patient partners and administered it to a convenience sample of people living with asthma and COPD in BC between September 2020 and March 2021. We aimed to understand how access to healthcare for these conditions was affected during the pandemic. The survey asked respondents to report their characteristics, access to healthcare for asthma and COPD, types of services they found disrupted and telehealth (telephone or video appointment) use during the pandemic. We analysed 433 responses and found that access to healthcare for asthma and COPD was lower during the pandemic than pre-pandemic (p < 0.001). Specialty care services were most frequently reported as disrupted, while primary care, home care and diagnostics were least disrupted. Multivariable logistic regression revealed that access during the pandemic was positively associated with self-assessed financial ability (OR = 22.0, 95% CI: 7.0 - 84.0, p < 0.001, reference is disagreeing with having financial ability) and living in medium-sized urban areas (OR = 2.3, 95% CI: 1.0 - 5.2, p = 0.04, reference is rural areas). These disparities in access should be validated post-pandemic to confirm whether they still persist. They also indicate the continued relevance of exploring approaches for more equitable healthcare.

A systematic review of digital health technologies for the care of older adults during COVID-19 pandemic

Objective

During the Coronavirus Disease 2019 (COVID-19) pandemic, digital health technologies (DHTs) became increasingly important, especially for older adults. The objective of this systematic review was to synthesize evidence on the rapid implementation and use of DHTs among older adults during the COVID-19 pandemic.

Methods

A structured, electronic search was conducted on 9 November 2021, and updated on 5 January 2023, among five databases to select DHT interventional studies conducted among older adults during the pandemic. The bias of studies was assessed using Version 2 of the Cochrane Risk-of-Bias Tool for randomized trials (RoB 2) and Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I).

Results

Among 20 articles included in the review, 14 (70%) focused on older adults with chronic diseases or symptoms, such as dementia or cognitive impairment, type 2 diabetes, and obesity. DHTs included traditional telehealth interventions via telephone, video, and social media, as well as emerging technologies such as Humanoid Robot and Laser acupuncture teletherapy. Using RoB 2 and ROBINS-I, four studies (20%) were evaluated as high or serious overall risk of bias. DHTs have shown to be effective, feasible, acceptable, and satisfactory for older adults during the COVID-19 pandemic compared to usual care. In addition, some studies also highlighted challenges with technology, hearing difficulties, and communication barriers within the vulnerable population.

Conclusions

During the COVID-19 pandemic, DHTs had the potential to improve various health outcomes and showed benefits for older adults' access to health care services.

Virtual fall program assessment for frail Canadian community-dwelling older adults: Examining equitable accessibility

Objective

In response to COVID-19, the fall prevention program (FPP) at Sunnybrook Health Sciences Centre was modified to be delivered virtually. We compared patient populations assessed for the FPP virtually versus in-person to explore equitable accessibility.

Methods

A retrospective chart review was performed. All patients assessed virtually from the beginning of the COVID-19 pandemic until the end of abstraction (April 25, 2022) were compared to a historic sample of patients assessed in-person beginning in January 2019. Demographics, measures of frailty, co-morbidity, and cognition were abstracted. Wilcoxon Rank Sum tests and Fisher's Exact tests were used for continuous and categorical variables, respectively.

Results

Thirty patients were assessed virtually and compared to 30 in-person historic controls. Median age was 80 years (interquartile range 75-85), 82% were female, 70% were university educated, the median Clinical Frailty Score was 5 out of 9, and 87% used >5 medications. Once normalized, frailty scores showed no difference (p  =  0.446). The virtual cohort showed significantly higher outdoor walking aid use (p  =  0.015), reduced accuracy with clock drawing (p  =  0.020), and nonsignificant trends toward using >10 medications, requiring assistance with >3 instrumental activities of daily living (IADLs), and higher treatment attendance. No significant differences were seen for time-to-treat (p  =  0.423).

Conclusion

Patients assessed virtually were similarly frail as the in-person controls but had increased use of walking aids, medications, IADL assistance, and cognitive impairment. In a Canadian context, frail and high socioeconomic status older adults continued to access treatment through virtual FPP assessments during the COVID-19 pandemic highlighting both the benefits of virtual care and potential inequity.

Digital literacy during the coronavirus pandemic in older adults: Literature Review and Research Agenda

Demographic change in the developed world is leading to a higher proportion of older adults and longer life expectancy. Measures to control the coronavirus disease have affected older adults the most. Social isolation and access to remote health services has been a problem for many people. We have used the method of scientific literature review. The selection of articles was made in accordance with the following inclusion criteria: accessibility, scientificity, content relevance and topicality. After selection, the results were analysed by qualitative content analysis. With the content analysis of twenty scientific articles, we gained an insight into digital literacy of older adults during the COVID-19 pandemic. Three content categories were identified: (1) poor digital literacy of older adults, (2) inequality in ICT access, (3) use of ICT reduces the negative impact of social isolation. We note that there is a large digital divide in digital literacy and competences among older adults which expanded during the coronavirus disease pandemic. Several factors, including socio-economic status, internet access and the poor adaptation of ICT for older adults affect digital literacy. Rapid development of remote health and social care, poor digital literacy of older adults and the poor adaptation of ICT for older adults dictate that the problem must be tackled systemically.

Desperately Seeking Intersectionality in Digital Health Disparity Research: Narrative Review to Inform a Richer Theorization of Multiple Disadvantage

BACKGROUND

Digital consultations between patients and clinicians increased markedly during the COVID-19 pandemic, raising questions about equity.

OBJECTIVE

This study aimed to review the literature on how multiple disadvantage-specifically, older age, lower socioeconomic status, and limited English proficiency-has been conceptualized, theorized, and studied empirically in relation to digital consultations. We focused mainly on video consultations as they have wider disparities than telephone consultations and relevant data on e-consultations are sparse.

METHODS

Using keyword and snowball searching, we identified relevant papers published between 2012 and 2022 using Ovid MEDLINE, Web of Science, Google Scholar, and PubMed. The first search was completed in July 2022. Papers meeting the inclusion criteria were analyzed thematically and summarized, and their key findings were tabulated using the Grading of Recommendations Assessment, Development, and Evaluation Confidence in the Evidence from Reviews of Qualitative Research criteria. Explanations for digital disparities were critically examined, and a search was undertaken in October 2022 to identify theoretical lenses on multiple disadvantage.

RESULTS

Of 663 articles from the initial search, 27 (4.1%) met our inclusion criteria. In total, 37% (10/27) were commentaries, and 63% (17/27) were peer-reviewed empirical studies (11/27, 41% quantitative; 5/27, 19% qualitative; 1/27, 4% mixed methods; 1/27, 4% systematic reviews; and 1/27, 4% narrative reviews). Empirical studies were mostly small, rapidly conducted, and briefly reported. Most studies (25/27, 93%) identified marked digital disparities but lacked a strong theoretical lens. Proposed solutions focused on identifying and removing barriers, but the authors generally overlooked the pervasive impact of multiple layers of disadvantage. The data set included no theoretically informed studies that examined how different dimensions of disadvantage combined to affect digital health disparities. In our subsequent search, we identified 3 theoretical approaches that might help account for these digital disparities. Fundamental cause theory by Link and Phelan addresses why the association between socioeconomic status and health is pervasive and persists over time. Digital capital theory by Ragnedda and Ruiu explains how people mobilize resources to participate in digitally mediated activities and services. Intersectionality theory by Crenshaw states that systems of oppression are inherently bound together, creating singular social experiences for people who bear the force of multiple adverse social structures.

CONCLUSIONS

A limitation of our initial sample was the sparse and undertheorized nature of the primary literature. The lack of attention to how digital health disparities emerge and play out both within and across categories of disadvantage means that solutions proposed to date may be oversimplistic and insufficient. Theories of multiple disadvantage have bearing on digital health, and there may be others of relevance besides those discussed in this paper. We call for greater interdisciplinary dialogue between theoretical research on multiple disadvantage and empirical studies on digital health disparities.

Remote care in UK general practice: baseline data on 11 case studies

Background

Accessing and receiving care remotely (by telephone, video or online) became the default option during the coronavirus disease 2019 (COVID-19) pandemic, but in-person care has unique benefits in some circumstances. We are studying UK general practices as they try to balance remote and in-person care, with recurrent waves of COVID-19 and various post-pandemic backlogs.

Methods

Mixed-methods (mostly qualitative) case study across 11 general practices. Researchers-in-residence have built relationships with practices and become familiar with their contexts and activities; they are following their progress for two years via staff and patient interviews, documents and ethnography, and supporting improvement efforts through co-design. In this paper, we report baseline data.

Results

Reflecting our maximum-variety sampling strategy, the 11 practices vary in size, setting, ethos, staffing, population demographics and digital maturity, but share common contextual features-notably system-level stressors such as high workload and staff shortages, and UK's technical and regulatory infrastructure. We have identified both commonalities and differences between practices in terms of how they: 1] manage the 'digital front door' (access and triage) and balance demand and capacity; 2] strive for high standards of quality and safety; 3] ensure digital inclusion and mitigate wider inequalities; 4] support and train their staff (clinical and non-clinical), students and trainees; 5] select, install, pilot and use technologies and the digital infrastructure which support them; and 6] involve patients in their improvement efforts.

Conclusions

General practices' responses to pandemic-induced disruptive innovation appear unique and situated. We anticipate that by focusing on depth and detail, this longitudinal study will throw light on why a solution that works well in one practice does not work at all in another. As the study unfolds, we will explore how practices achieve timely diagnosis of urgent or serious illness and manage continuity of care, long-term conditions and complex needs.

Remote care in UK general practice: baseline data on 11 case studies

BACKGROUND

Accessing and receiving care remotely (by telephone, video or online) became the default option during the coronavirus disease 2019 (COVID-19) pandemic, but in-person care has unique benefits in some circumstances. We are studying UK general practices as they try to balance remote and in-person care, with recurrent waves of COVID-19 and various post-pandemic backlogs.

METHODS

Mixed-methods (mostly qualitative) case study across 11 general practices. Researchers-in-residence have built relationships with practices and become familiar with their contexts and activities; they are following their progress for two years via staff and patient interviews, documents and ethnography, and supporting improvement efforts through co-design. In this paper, we report baseline data.

RESULTS

Reflecting our maximum-variety sampling strategy, the 11 practices vary in size, setting, ethos, staffing, population demographics and digital maturity, but share common contextual features-notably system-level stressors such as high workload and staff shortages, and UK's technical and regulatory infrastructure. We have identified both commonalities and differences between practices in terms of how they: 1] manage the 'digital front door' (access and triage) and balance demand and capacity; 2] strive for high standards of quality and safety; 3] ensure digital inclusion and mitigate wider inequalities; 4] support and train their staff (clinical and non-clinical), students and trainees; 5] select, install, pilot and use technologies and the digital infrastructure which support them; and 6] involve patients in their improvement efforts.

CONCLUSIONS

General practices' responses to pandemic-induced disruptive innovation appear unique and situated. We anticipate that by focusing on depth and detail, this longitudinal study will throw light on why a solution that works well in one practice does not work at all in another. As the study unfolds, we will explore how practices achieve timely diagnosis of urgent or serious illness and manage continuity of care, long-term conditions and complex needs.

Acceptance of Social Networking Sites by Older People before and after COVID-19 Confinement: A Repeated Cross-Sectional Study in Chile, Using the Theory of Planned Behaviour (TPB)

This study aims to examine the capacity of the Theory of Planned Behaviour (TPB) to explain the intention to use social networking sites by older people in two time periods, before and after confinement due to the COVID-19 epidemic, as well as the evolution of effects (paths) over time of TPB's determinants. Based on interviews from samples of 384 and 383 elderly Chilean adults collected before and after confinement, the evolution of the effects (paths) was analysed using the TPB model applying the PLS-SEM technique. The intention to use social networks and its association with three factors were evaluated: attitude toward the behaviour, subjective norms, and perceived control over the behaviour. The model explains the intention to use social networks by 27% before confinement, increasing its magnitude to 50% after confinement. After the period of confinement, their attitudes become more significant, their perceptions of control become less important, and social pressures remain permanent in predicting the behaviour. In conclusion, better access and greater use of social networks by older people during the lockdown period increased the predictive strength of the attitude towards these technologies.

Psychometric Evaluation of the Korean Version of PROMIS Self-Efficacy for Managing Symptoms Item Bank: Item Response Theory

PURPOSE

To evaluate the psychometric properties of the Patient-Reported Outcomes Measurement Information System (PROMIS) self-efficacy for managing symptoms of the version 1.0 item bank in Korea.

METHODS

This study consisted of two phases: first, developing the Korean version of the item bank following the translation guidelines; and second, performing a cross-sectional study to evaluate its psychometric properties using the item response theory. This study enrolled 323 patients with type 2 diabetes mellitus between July and August 2020. Cronbach's α was used to assess the reliability of this item bank. Confirmatory factor analysis, using diagonally weighted least squares, was used to identify the assumptions of item response theory. Item parameter estimates including discrimination and thresholds were derived using the graded response model of the item response theory to reflect patient-reported outcomes as individualized responses.

RESULTS

The Korean version of the item bank demonstrated good reliability (Cronbach's α = .98) and its discrimination ranged from 1.82 to 4.93. The thresholds resulted in the establishment of a category response curve for each item. However, no overlap was observed among the category curves. Moreover, the differential item functioning was not significant for age, gender, and income variables.

CONCLUSION

The graded response model and differential item functioning provided qualitative evidence that demonstrated acceptable psychometric properties of symptom management self-efficacy among patients. This item bank is expected to provide adequate assessments of self-efficacy of symptom management for patients with a chronic disease, which can contribute to nursing research and intervention.