Older Adult Internet Use and eHealth Literacy

Meta-analysis: eHealth literacy and attitudes towards internet/computer technology

OBJECTIVE

To explore the relationship between eHealth literacy and attitudes towards internet/computer (I/C) technology use in healthcare.

METHODS

Analysis of data from 16 cross-sectional studies, involving literature search from databases like PubMed, EBSCO, JMIR, up to April 2023. Studies were selected based on a quantitative cross-sectional design, with no restrictions on participant characteristics.

RESULTS

A significant positive correlation (0.36; 95% CI 0.37-0.38, p < 0.05) was found between eHealth literacy and positive attitudes towards I/C technology use. Age and regional differences, especially in participants over 50 and from Asian and Middle Eastern countries, were notable.

CONCLUSION

Lower eHealth literacy is associated with more negative attitudes towards I/C technology in healthcare. This trend is consistent across diverse demographics and regions.

Associations of eHealth Literacy with Social Activity among Community-Dwelling Older Adults: A Cross-Sectional Study

Older adults who use digital technology are desired to adapt to digitalization and literacy. One required aspect is eHealth literacy, measured with the eHealth Literacy Scale (eHEALS). Many studies on eHealth literacy have used the eHEALS to examine the health behaviors of college students, relatively younger adults, and Internet users. However, the relevance of eHealth literacy to social activity has not yet been studied in older adults. The purposes of this study were to examine the relationship between eHealth literacy and health behaviors and social activities (community, cultural, and sports activities) and to investigate the factors associated with eHEALS scores among community-dwelling older adults. The mean eHEALS score was 12.4 points (SD 8.2), with the majority (73.3%) having the lowest score (the lowest score is 8 points). Males (17.6, SD 10.5) scored significantly higher than females (11.8, SD 7.7). The eHEALS score had a significant relationship with both cultural and community activity. Five factors significantly associated with having the lowest eHEALS score were cultural activity at least once a week, no cultural activity, no community activity, total IADL score, and intellectual activity. These results suggest that eHealth literacy is associated with community activity and cultural activity among older adults.

Telehealth Utilization and Associations in the United States During the Third Year of the COVID-19 Pandemic: Population-Based Survey Study in 2022

BACKGROUND

The COVID-19 pandemic rapidly changed the landscape of clinical practice in the United States; telehealth became an essential mode of health care delivery, yet many components of telehealth use remain unknown years after the disease's emergence.

OBJECTIVE

We aim to comprehensively assess telehealth use and its associated factors in the United States.

METHODS

This cross-sectional study used a nationally representative survey (Health Information National Trends Survey) administered to US adults (≥18 years) from March 2022 through November 2022. To assess telehealth adoption, perceptions of telehealth, satisfaction with telehealth, and the telehealth care purpose, we conducted weighted descriptive analyses. To identify the subpopulations with low adoption of telehealth, we developed a weighted multivariable logistic regression model.

RESULTS

Among a total of 6252 survey participants, 39.3% (2517/6252) reported telehealth use in the past 12 months (video: 1110/6252, 17.8%; audio: 876/6252, 11.6%). The most prominent reason for not using telehealth was due to telehealth providers failing to offer this option (2200/3529, 63%). The most common reason for respondents not using offered telehealth services was a preference for in-person care (527/578, 84.4%). Primary motivations to use telehealth were providers' recommendations (1716/2517, 72.7%) and convenience (1516/2517, 65.6%), mainly for acute minor illness (600/2397, 29.7%) and chronic condition management (583/2397, 21.4%), yet care purposes differed by age, race/ethnicity, and income. The satisfaction rate was predominately high, with no technical problems (1829/2517, 80.5%), comparable care quality to that of in-person care (1779/2517, 75%), and no privacy concerns (1958/2517, 83.7%). Younger individuals (odd ratios [ORs] 1.48-2.23; 18-64 years vs ≥75 years), women (OR 1.33, 95% CI 1.09-1.61), Hispanic individuals (OR 1.37, 95% CI 1.05-1.80; vs non-Hispanic White), those with more education (OR 1.72, 95% CI 1.03-2.87; at least a college graduate vs less than high school), unemployed individuals (OR 1.25, 95% CI 1.02-1.54), insured individuals (OR 1.83, 95% CI 1.25-2.69), or those with poor general health status (OR 1.66, 95% CI 1.30-2.13) had higher odds of using telehealth.

CONCLUSIONS

To our best knowledge, this is among the first studies to examine patient factors around telehealth use, including motivations to use, perceptions of, satisfaction with, and care purpose of telehealth, as well as sociodemographic factors associated with telehealth adoption using a nationally representative survey. The wide array of descriptive findings and identified associations will help providers and health systems understand the factors that drive patients toward or away from telehealth visits as the technology becomes more routinely available across the United States, providing future directions for telehealth use and telehealth research.

Evaluation of an mHealth App on Self-Management of Osteoporosis: Prospective Survey Study

BACKGROUND

Mobile health (mHealth) technologies can be used for disease-specific self-management, and these technologies are experiencing rapid growth in the health care industry. They use mobile devices, specifically smartphone apps, to enhance and support medical and public health practices. In chronic disease management, the use of apps in the realm of mHealth holds the potential to improve health outcomes. This is also true for mHealth apps on osteoporosis, but the usage and patients' experiences with these apps are underexplored.

OBJECTIVE

This prospective survey study aimed to investigate the eHealth literacy of Danish patients with osteoporosis, as well as the usability and acceptability of the app "My Bones."

METHODS

Data on patient characteristics, disease knowledge, eHealth literacy, usability, and acceptability were collected using self-administered questionnaires at baseline, 2 months, and 6 months. The following validated questionnaires were used: eHealth Literacy Questionnaire, System Usability Scale, and Service User Technology Acceptability Questionnaire.

RESULTS

Mean scores for eHealth literacy ranged from 2.6 to 3.1, with SD ranging from 0.5 to 0.6 across the 7 domains. The mean (SD) System Usability Scale score was 74.7 (14.4), and the mean (SD) scores for domains 1, 2, and 6 of the Service User Technology Acceptability Questionnaire were 3.4 (1.2), 4.5 (1.1), 4.1 (1.2), respectively.

CONCLUSIONS

Danish patients with osteoporosis are both motivated and capable of using digital health services. The app's usability was acceptable, and it has the potential to reduce visits to general practitioner clinics, enhance health outcomes, and serve as a valuable addition to regular health or social care services.

What drives low-income older adults' intention to use mobility applications?

AIM

Mobility applications have the potential to support low-income older adults in facing mobility challenges. However, there is a generally lower uptake of technology in this segment. To understand factors affecting the intention to use a mobility app, we drew upon the Protection Motivation Theory, and tested a model of low-income older adults' technology adoption.

METHODS

A cross-sectional survey was conducted across seven states in Malaysia among community-dwelling low-income older adults aged ≥60 years old (n = 282). Measurement items were adapted from pre-validated scales and 7-point Likert Scales were used. Partial least squares structural equation modeling was utilized to assess the hypothesized model.

RESULTS

Mobility technology awareness was found to shape an individual's threat and coping appraisals associated with their intention to use a mobility app. The decision of a low-income older adult to adopt a mobility app as a protective action is not a direct function of threat and coping appraisals but is indirect, and mediated by the underlying cost-benefit perceptions of non-adoption and adoption of the mobility app. In terms of technology perceptions, perceived usefulness is a significant predictor, but not perceived ease of use.

CONCLUSIONS

This study entails a new model by uncovering the psychological factors encompassing mobility technology awareness, threat-coping appraisals, and cost-benefit perceptions on Technology Acceptance Model studies. These insights have important implications for the development and implementation of a mobility app among low-income older adults. Geriatr Gerontol Int 2024; 24: 342-350.

Demographics and clinical features associated with rates of electronic message utilization in the primary care setting

INTRODUCTION

Electronic messages are growing as an important form of patient-provider communication, particularly in the primary care setting. However, adoption of healthcare technology has been under-utilized by underserved patient populations. The purpose of this study was to describe how adoption and utilization of electronic messaging occurred within a large primary care urban-based patient population.

METHODS

In this retrospective study, the frequency of electronic messages initiated by adult outpatient primary care patients was observed. Patients were classified as either non-portal adopters, non-message utilizers, low message utilizers, and high message utilizers. Logistic regression modeling was used to compare factors associated with message utilization rates to determine disparities in access.

RESULTS

Among a sample of 27,453 ethnically diverse adult patients from the Houston, Texas Metropolitan area, 33,497 unique messages were sent (1.22 messages/patient). Message burden was predominantly derived by a small number of high utilizers (individuals who sent 3 or more messages), who comprised 15.7 % of the study population (n = 4302) but accounted for 77 % of the message volume (n = 25,776). These high utilizers were typically older, White, English speaking, from middle to upper income zip codes, had higher number of comorbidities, and a higher number of clinical visits.

CONCLUSIONS

Most inbox messages were generated by a small number of patients. While it was reassuring to see older and sicker individuals utilizing electronic messaging, patients from minority and/or lower income background utilized electronic messaging much less. This may propagate systematic bias and decrease the level of care for traditionally underserved patients.

Culturally adapted training for community volunteers to improve their knowledge, attitude and practice regarding non-communicable diseases in Vietnam

BACKGROUND

The burden of non-communicable diseases is becoming unmanageable by primary healthcare facilities in low- and middle-income countries. Community-based approaches are promising for supporting healthcare facilities. In Vietnam, community health volunteers are trained in providing health promotion and screening in a culturally adapted training. This study aims to assess the change in knowledge, attitude and practice regarding NCD prevention and management after a culturally adapted training, and the potential mechanisms leading to this change.

METHODS

The Knowledge Attitude and Practice survey was assessed before and after an initial training, and before and after a refresher training (n = 37). We used a focus group discussion with community health volunteers (n = 8) to map potential mechanisms of the training and applying learned knowledge in practice. Data were collected in the districts Le Chan and An Duong of Hai Phong, Vietnam, in November 2021 and May 2022.

RESULTS

We found that knowledge increased after training (mean = 5.54, 95%-confidence interval = 4.35 to 6.74), whereas attitude and practice did not improve. Next, knowledge decreased over time (m=-12.27;-14.40 to -10.11) and did not fully recover after a refresher training (m=-1.78;-3.22 to -0.35). As potential mechanisms for change, we identified the use of varying learning methods, enough breaks, efficient coordination of time located for theory and practice, handout materials, large group size and difficulty in applying a digital application for screening results.

CONCLUSION

Culturally adapted trainings can improve knowledge among community health volunteers which is important for the support of primary healthcare in low- and middle-income countries. Using a digital screening application can be a barrier for the improvement of knowledge, attitude and practice and we suggest using an intergenerational or age-friendly approach, with the supervision of primary healthcare professionals. Future research on behavioral change should include additional components such as self-efficacy and interrelationships between individuals.

Effectiveness of nurse-led electronic health interventions on illness management in patients with chronic heart failure: A systematic review and meta-analysis

BACKGROUND

Chronic heart failure (CHF) is a global health concern, and nurse-led electronic health is an effective management strategy for this condition.

OBJECTIVE

This systematic review and meta-analysis aimed to identify current patterns and strategies for nurse-led electronic health interventions and examine the effects of nurse-led electronic health interventions for illness management in patients with chronic heart failure.

DESIGN

This study combined a systematic review and meta-analyses.

PARTICIPANTS

Twenty-four articles, involving a total of 3660 patients, met the inclusion criteria.

METHODS

We conducted a large amount of literature review using seven English databases: namely PubMed, Embase, Web of Science, MEDLINE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and SCOPUS, along with three Chinese databases: China National Knowledge Infrastructure(CNKI), WanFang, and the VIP Database. Databases were searched from inception until September 2022. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The studies were independently screened by two reviewers who extracted of the details of those meeting the inclusion criteria study. The Joanna Briggs Institute randomized controlled trial checklist was used to evaluate the methodological value of each incorporation study. Meta-analysis was performed by the use of Manager 5.3.

RESULTS

The main patterns of electronic health intervention involve smartphone, Internet and specialized (portable) electronic monitoring devices that are used for the illness management of patients with chronic heart failure, mainly including providing self-management guidance for chronic heart failure, and tracking of the patient's health information, providing peer support, and facilizing medical and health resources. The collective findings of 9 studies reported that electronic health interventions improved self-care (MD: 15.30, 95 % CI: 1.59 to 29.02, p < 0.05). Regarding psychosocial well-being outcomes, the incorporative conclusions indicated that electronic health interventions effectively increased quality of life, reduced depression and anxiety, and improved patient satisfaction. Regarding disease-related examinations, electronic health interventions significantly increased cardiac function during the 6-minute walk test. Regarding healthy economic outcomes, electronic health interventions significantly decreased the rehospitalization rate and the cost of medical care services.

CONCLUSIONS

The findings of this review suggest that nurse-led electronic health interventions involving multiple patterns have an active influence on managing patients with chronic heart failure, including enhancing self-care, and medication adherence; increasing quality of life; reducing depression, anxiety, and improved patient satisfaction; increasing cardiac function, and reducing rehospitalization rate and hospitalization costs. Thus, it could be a promising alternative in the clinical settings.

REGISTRATION

CRD42023389450.

Social Support, eHealth Literacy, and mHealth Use in Older Adults With Diabetes: Moderated Mediating Effect of the Perceived Importance of App Design

Mobile healthcare has emerged as a prominent technological solution for self-management of health. However, the development and utilization of tailored mobile healthcare applications for older adults with diabetes mellitus remain limited. This study examined the relationship between social support and mobile healthcare use and further explored how this relationship varies with eHealth literacy and application design among older adults with diabetes mellitus. A descriptive cross-sectional trial was conducted with a structured self-report questionnaire, surveying 252 South Korean older adults with diabetes mellitus via offline and online modes. The mediating effect and moderated mediating effect were analyzed with the PROCESS macro of SPSS. eHealth literacy mediated the relationship between social support and mobile healthcare use. High levels of eHealth literacy and social support may increase mobile healthcare use among older adults with diabetes. Application design aesthetics facilitated mobile healthcare use. Future researchers, healthcare providers, and developers can contribute to the development of tailored mobile healthcare applications for older adults with diabetes mellitus by considering application design aspects such as font size, color, and menu configuration.

The Importance of Digital Health Literacy in an Evolving Parkinson's Disease Care System

Digital health technologies are growing at a rapid pace and changing the healthcare landscape. Our current understanding of digital health literacy in Parkinson's disease (PD) is limited. In this review, we discuss the potential challenges of low digital health literacy in PD with particular attention to telehealth, deep brain stimulation, wearable sensors, and smartphone applications. We also highlight inequities in access to digital health technologies. Future research is needed to better understand digital health literacy among individuals with PD and to develop effective solutions. We must invest resources to evaluate, understand, and enhance digital health literacy for individuals with PD.

Exploratory analysis of the effectiveness of virtual reality in cardiovascular rehabilitation

Virtual reality therapy has been shown to be effective in coping with psychological disorders accompanied by cardiovascular disease. Age appears to be a factor that can affect the effectiveness of psychological therapy in a virtual environment. Therefore, the aim of the study was to explore whether there are age-related differences in the effectiveness of reducing levels of depression and anxiety during a virtual reality psychological intervention implemented for rehabilitation. The study included 25 younger (< 65 years) and 25 older (65 +) patients with cardiovascular disease who participated in virtual reality therapy to cope with anxiety and depression. The Hospital Anxiety and Depression Scale was used to assess anxiety and depressive disorders before and after intervention. Significant reductions in anxiety and depression scores after intervention were observed in both age-matched groups, and no significant differences were found between the younger and older participants. Further evaluation of patient age as a predictor of the effectiveness of psychological intervention in virtual reality did not show a significant effect of age on effectiveness in reducing anxiety and depressive disorders. The results obtained suggest that older patients benefit similarly to younger patients from psychological intervention in a virtual environment. Furthermore, age does not appear to be considered a predictor of effectiveness in reducing the level of anxiety and depression in patients with cardiovascular disease using virtual reality therapy.

Internet Use and Well-Being of Older Adults Before and During the COVID-19 Pandemic: Findings from European Social Survey

The present study examined older adults' use of digital technology and its relation to perceived well-being before and during the COVID-19 pandemic in Europe. Three cross-sectional survey data from the European Social Survey (ESS) were employed including ESS8-2016 (n = 10,618, Mean age = 73.59 ± 6.76 years; 54.4% female), ESS9-2018 (n = 13,532, Mean age = 73.85 ± 6.58 years; 55.9% female), and ESS10-2020 (n = 4,894, Mean age = 73.49 ± 6.40 years; 59.0% female). Results showed that there was a tendency to increase Internet use on a daily basis across different European countries before and during the COVID-19 pandemic. Old age, low education, being widowed, and living in a household with more than five household members were salient factors that are correlated with lower levels of Internet use. Internet use was positively associated with happiness and life satisfaction, and negatively associated with poor general health.

Electronic Health Literacy Among Baby Boomers: A Typology

BACKGROUND

Forecasts suggest that older adults will place unprecedented demands on future health care systems. Electronic health (eHealth) resources can potentially mitigate some pressures, but to be effective patients need to be able to use them. The negative relationship between eHealth literacy and age usually results in older adults classified as one homogenous mass, which misses the opportunity to tailor interventions.

OBJECTIVE

This research examines similarities and differences within the baby boom cohort among a sample that uses the internet for health information.

METHODS

We used an electronic survey with random samples of baby boomers (N = 996) from the United States, the United Kingdom, and New Zealand.

KEY RESULTS

Four distinct subgroups, or segments, emerged. While not different from a socioeconomic perspective, these four groups have very different levels of eHealth literacy and corresponding health behaviors. Therefore, we contribute a more complex picture than is usually presented in eHealth studies.

CONCLUSIONS

Resulting insights offer a useful starting point for providers wishing to better tailor health products, services, and communications to this large cohort of future older individuals. [HLRP: Health Literacy Research and Practice. 2024;8(1):e3-e11.].

Internet use by informal caregivers in Chile: An analysis including age and gender perspectives

OBJECTIVES

This study explored the relationship between Internet use and informal caregivers' characteristics.

METHODS

We used the Chilean Sociodemographic Characterization Survey. A total of 86,172 informal caregivers were identified. We conducted a weighted χ2 to test differences in 10 types of Internet use and weighted logistic regressions with caregivers' characteristics as predictors of Internet use.

RESULTS

Younger caregivers engaged in more types of use than the older ones. Education level was positively associated with all types of use, such as searching for information (OR = 3.52, CI 95% [2.34, 5.29]). Age was negatively related to Internet use. Women used the Internet more to communicate via social networks. Being single reduced the likelihood of performing certain types of use, such as information seeking. The number of people living in households has increased entertainment.

CONCLUSIONS

Older caregivers with lower education levels are at greater risk of digital exclusion. The same occurred in some types of use with single caregivers, where fewer people lived in the household.

CLINICAL IMPLICATIONS

The Internet can be a tool for coping with caregiving tasks and their negative consequences. Interventions should consider these characteristics when promoting online tools and performing online interventions to reach the broadest possible audience.

Psychometric validation of the Chinese digital health literacy instrument among Chinese older adults who have internet use experience

INTRODUCTION

In this digital age, the Internet has become a major source of health information, and electronic health (eHealth) literacy becomes increasingly important for older individuals to properly use the extensive eHealth resources for self-care. A valid and reliable tool for assessing older people's eHealth literacy would help healthcare workers identify those disadvantaged groups in digital health and provide relevant health education.

OBJECTIVES

This study aimed to evaluate the psychometric properties of the Chinese version of DHLI in assessing eHealth literacy among older adults in China.

METHODS

A web-based, cross-sectional study was conducted among 277 Chinese older adults from September to November 2021. Two weeks after the first completion, 62 of them answered the C-DHLI again. The reliability (e.g. internal consistency and test-retest reliability), factorial structure and validity (i.e. content validity and convergent validity) of the C-DHLI were evaluated based on the survey data.

RESULTS

The results demonstrated good internal consistency (Cronbach's alpha: 0.94) and test-retest reliability (total intraclass correlation coefficient [ICC]: 0.94) of the C-DHLI. Principal component analysis revealed that the 18 items of C-DHLI loaded on three factors, accounting for 74.69% of the total variance; CFA supported its three-factor structure with good model fits. Convergent validity was examined by the significant associations between C-DHLI and C-eHEALS (r = 0.61), health literacy (r = 0.56), and whether having used the Internet for health information (ρ = 0.43) (ps <.001). A cut-off score of 45 was recommended for determining higher and lower literacy using the C-DHLI, with the area under curve of 0.82 (95% CI = 0.77-0.88).

CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

The C-DHLI showed good psychometric performance in assessing eHealth literacy among Chinese older adults. The findings can support healthcare professionals to effectively measure eHealth literacy among older adults and conduct tailored eHealth interventions or training.

Acceptability and use of an online health priorities self-identification tool for older adults: A qualitative investigation

Objective

To examine the use of a web-based, self-directed health priorities identification tool for older adults with multiple chronic conditions (MCCs).

Methods

We recruited a gender- and racially-diverse, highly educated sample of older adults with MCCs to engage with our My Health Priorities tool, then complete a semi-structured interview. Thematic analysis was used to examine interview transcripts.

Results

Twenty-one participants shared perspectives on the acceptability and use of the tool. Three themes (with eleven subthemes) were generated to describe: website user experience feedback, the content of the health priorities identification process, and the tool's capacity to empower communication and decision making.

Conclusion

Participants found this tool acceptable and easy to use, describing a variety of benefits of the priorities self-identification process and offered suggestions for refinement and broader implementation. Older adults with limited internet navigation abilities or misconceptions about the self-directed process may benefit from clinicians clarifying the purpose of the process or initiating priorities-aligned discussions.

Innovation

This novel tool can help older adults with MCCs define what matters most for their health and healthcare, informing a variety of health decisions. This tool may enable and motivate patients to lead health priorities decision-making discussions with clinicians and care partners.

Patient centeredness, independent health-related Internet use, and online communication with healthcare providers in later life: A cross-sectional study

OBJECTIVE

To test the links between patient centeredness, independent health-related Internet use, and online communication with healthcare provider in later life.

METHODS

These links were tested on a multivariable level through the prism of the socioemotional selectivity theory and the channel complementarity theory. The data were obtained from the Health Information National Trends Survey (Wave 5, Cycle 4) and analyzed using logistic regression models. The sample included older Internet users (N = 1165).

RESULTS

Low patient centeredness corresponded to a decreased likelihood of communicating with healthcare providers online. No particular patient centeredness component was associated with the studied phenomenon. Online health information seeking corresponded to an increased likelihood of communicating with healthcare providers online.

CONCLUSION

Patient centeredness plays a relatively modest role in explanation of the online communication with healthcare providers in later life. In addition, older adults' online health information seeking behavior and online patient-provider communication seem to complement each other.

PRACTICE IMPLICATIONS

The findings can serve public health officials for developing programs aimed at increasing the rates of the online communication with healthcare providers in older population. The findings can also serve healthcare providers in their efforts to improve the quality of (online) communication with their older patients.

Older adults in the digital health era: insights on the digital health related knowledge, habits and attitudes of the 65 year and older population

BACKGROUND

The COVID-19 pandemic has increased internet use by older age groups to an unprecedented level in Hungary mirroring the general tendency in the total population. Nevertheless, international trends indicate that this group is less likely to use digital health technologies than younger ones. The aging population raises the question of successfully integrating elderly people into the digital health ecosystem. Our research aim is to investigate the digital health usage patterns and attitudes of the population aged 65 and over through a representative sample.

METHODS

A national representative questionnaire survey was conducted by telephone (CATI), interviewing 1723 respondents. Within this sample we examined 428 people in the over-65 age group, 246 in the 65-74 age group and 182 in the over-75 age group. Predictors of demand for digital solutions were tested using binary logistic regression model.

RESULTS

50.8% of people aged 65-74 and 37.1. % of people aged 75 + use the internet for health-related purposes, mostly to access websites. 85% of respondents in 65-74 and 74% in 75 + age group have used more than one digital health device and around 70% of both age groups have a need for more than one digital solution. 90.2% (64-75 age group) and 85.7% (75 + age group) of respondents are familiar with e-prescription, 86.4% and 81.4% of them use it. 77.1% of 65-74-year-olds have heard of and nearly half 45.5% have used online appointment. More than half (52.7%) of the respondents in this age group have heard of and used electronic transmission of medical records and data. A similar proportion has heard about and used apps: 54.3% has heard of them, but only 17.3% has used them. The multivariate analyses emphasized that the need for digital solutions increases with the level of education and the more benefits one perceives in using digital solutions.

CONCLUSION

Our research has shown that the senior age group has measurable needs in the field of digital health, so helping them on this journey is in the interest of the whole health ecosystem. Their high level of interest is indicated by the fact that more than a fifth of older adults would like to have access to between 7 and 10 of the maximum number of digital devices available. The differences between the two age groups - with younger people being more open to digital solutions and using them more - and the fact that the under 65s are better adapted digitally in all respects, raises the possibility that the specific trends in digital health for older people may virtually disappear in 10 years' time (when the under 65s now enter this age group).

Relationship Between Asthma Control Status and Health-Related Quality of Life in Japan: A Cross-Sectional Mixed-Methods Study

INTRODUCTION

There is limited information regarding multidimensional relationships between asthma control and health-related quality of life (HRQoL), work productivity, and asthma symptom burden in Japan. Furthermore, systematic qualitative investigations about asthma burden have not been performed.

METHODS

This cross-sectional, mixed-methods study included Japanese patients (≥ 20 years) with asthma adherent to inhaled corticosteroids/long-acting β2-agonists (ICS/LABA). The primary endpoint was impact of asthma on HRQoL, measured using the Asthma Health Questionnaire-33 (AHQ-33). Secondary endpoints were cough burden (Japanese-adapted Leicester Cough Questionnaire [J-LCQ]) and impact of asthma on work/activities (asthma-specific Work Productivity and Activity Impairment Questionnaire [WPAI:Asthma]). Quantitative data were assessed for the overall population and for well-controlled (WC) and not well-controlled (NWC) asthma subgroups. Qualitative verbal interviews further assessed the impact of NWC asthma on patients' HRQoL; emergent themes were extracted using thematic analyses.

RESULTS

Of 454 patients, 45.2% (n = 205) had NWC asthma. Patients with NWC asthma had significantly worse asthma- and cough-related HRQoL across all AHQ-33 and J-LCQ domains and significantly greater work and activity impairment versus patients with WC asthma, across all assessed WPAI:Asthma domains. AHQ-33 total score was highly correlated with J-LCQ total and domain scores (r = - 0.8132 to r = - 0.7407). Nine themes emerged from qualitative interviews and confirmed that patients with NWC asthma had considerable HRQoL impairment due to asthma symptoms.

CONCLUSIONS

Patients with NWC asthma had higher symptom burden and worse HRQoL than patients with WC asthma, despite ICS/LABA adherence. Cough burden correlated with HRQoL, suggesting cough may be one of the key markers to inform treatment strategy for patients with asthma.

Digital literacy as a new determinant of health: A scoping review

INTRODUCTION

Harnessing new digital technologies can improve access to health care but can also widen the health divide for those with poor digital literacy. This scoping review aims to assess the current situation of low digital health literacy in terms of its definition, reach, impact on health and interventions for its mitigation.

METHODS

A comprehensive literature search strategy was composed by a qualified medical librarian. Literature databases [Medline (Ovid), Embase (Ovid), Scopus, and Google Scholar] were queried using appropriate natural language and controlled vocabulary terms along with hand-searching and citation chaining. We focused on recent and highly cited references published in English. Reviews were excluded. This scoping review was conducted following the methodological framework of Arksey and O'Malley.

RESULTS

A total of 268 articles were identified (263 from the initial search and 5 more added from the references of the original papers), 53 of which were finally selected for full text analysis. Digital health literacy is the most frequently used descriptor to refer to the ability to find and use health information with the goal of addressing or solving a health problem using technology. The most utilized tool to assess digital health literacy is the eHealth literacy scale (eHEALS), a self-reported measurement tool that evaluates six core dimensions and is available in various languages. Individuals with higher digital health literacy scores have better self-management and participation in their own medical decisions, mental and psychological state and quality of life. Effective interventions addressing poor digital health literacy included education/training and social support.

CONCLUSIONS

Although there is interest in the study and impact of poor digital health literacy, there is still a long way to go to improve measurement tools and find effective interventions to reduce the digital health divide.

Analysis of factors inhibiting the customer engagement of eHealth in India: Modeling the barriers using ISM-Fuzzy MICMAC analysis

INTRODUCTION

The current study aims to evaluate and measure the relationship between the customer engagement barriers influencing the adoption of eHealth in India. Previous studies have shown that low levels of engagement can lead to worse health outcomes, so this study is an expanded version of those findings to highlight those challenges.

METHODOLOGY

For this, the study followed three phases of research: factor identification through a review of the literature; expert opinion for selecting key and pertinent factors for the study; and application of interpretive structural modelling approach to capture the proper association between various factors. Using fuzzy-MICMAC analysis, the factors were divided into independent, dependent, autonomous and linkage categories.

RESULTS

A model is created in this study that shows the relationship between different barriers that aid the Indian healthcare industry in better implementation and also Indian citizens in better adoption of eHealth services. According to the research and derived model, some of the biggest obstacles in the eHealth are need of product portfolio, Lack of Customer support and Low first call resolution rate.

CONCLUSION

This study contributes to the body of knowledge by offering novel perspective into the types of hierarchical relationships that exist among barriers. These insights will be valuable to academicians and practitioners interested in India's healthcare market and its strategic expansion.

Effects of Web-Based and Mobile Self-Care Support in Addition to Standard Care in Patients After Radical Prostatectomy: Randomized Controlled Trial

BACKGROUND

Prostate cancer is a common form of cancer that is often treated with radical prostatectomy, which can leave patients with urinary incontinence and sexual dysfunction. Self-care (pelvic floor muscle exercises and physical activity) is recommended to reduce the side effects. As more and more men are living in the aftermath of treatment, effective rehabilitation support is warranted. Digital self-care support has the potential to improve patient outcomes, but it has rarely been evaluated longitudinally in randomized controlled trials. Therefore, we developed and evaluated the effects of digital self-care support (electronic Patient Activation in Treatment at Home [ePATH]) on prostate-specific symptoms.

OBJECTIVE

This study aimed to investigate the effects of web-based and mobile self-care support on urinary continence, sexual function, and self-care, compared with standard care, at 1, 3, 6, and 12 months after radical prostatectomy.

METHODS

A multicenter randomized controlled trial with 2 study arms was conducted, with the longitudinal effects of additional digital self-care support (ePATH) compared with those of standard care alone. ePATH was designed based on the self-determination theory to strengthen patients' activation in self-care through nurse-assisted individualized modules. Men planned for radical prostatectomy at 3 county hospitals in southern Sweden were included offline and randomly assigned to the intervention or control group. The effects of ePATH were evaluated for 1 year after surgery using self-assessed questionnaires. Linear mixed models and ordinal regression analyses were performed.

RESULTS

This study included 170 men (85 in each group) from January 2018 to December 2019. The participants in the intervention and control groups did not differ in their demographic characteristics. In the intervention group, 64% (53/83) of the participants used ePATH, but the use declined over time. The linear mixed model showed no substantial differences between the groups in urinary continence (β=-5.60; P=.09; 95% CI -12.15 to -0.96) or sexual function (β=-.12; P=.97; 95% CI -7.05 to -6.81). Participants in the intervention and control groups did not differ in physical activity (odds ratio 1.16, 95% CI 0.71-1.89; P=.57) or pelvic floor muscle exercises (odds ratio 1.51, 95% CI 0.86-2.66; P=.15).

CONCLUSIONS

ePATH did not affect postoperative side effects or self-care but reflected how this support may work in typical clinical conditions. To complement standard rehabilitation, digital self-care support must be adapted to the context and individual preferences for use and effect.

TRIAL REGISTRATION

ISRCTN Registry ISRCTN18055968; https://www.isrctn.com/ISRCTN18055968.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/11625.

Acquisition behaviours for nutrition-related information based on a health promotion model for older adults in a long-term care facility

AIM

To explore the acquisition behaviours for nutrition-related information of older adults in a long-term care facility.

DESIGN

A qualitative descriptive design was used in this study.

METHODS

Sixteen older adults in a long-term care facility were recruited using purposive sampling between March and May 2021. Data were collected via face-to-face semi-structured interviews, based on open questions regarding acquisition behaviours for nutrition-related information and flexible question formulation, and the data were analysed using an inductive-deductive method. A health promotion model was used as a conceptual framework to regulate the refinement of themes.

RESULTS

Three themes were identified in this study. The first theme discussed the individual characteristics and experiences of older adults that contributed to their acquisition behaviours for nutrition-related information. The second theme described behaviour-specific cognitions of and the effects on the participants regarding the influencing factors involving various internal individual elements and external physical environment. The third theme explored the positive behavioural outcomes of the participants resulting from these acquisition behaviours.

CONCLUSION

Acquisition behaviours for nutrition-related information of older adults in long-term care facilities were affected by both individual characteristics and external physical environment factors. Access to nutritional information can help older adults cultivate a healthy diet. Although they exhibited a significant interest in nutrition, the participants still encountered several difficulties. Based on the actual care needs of the older people, appropriate nutritional information interventions should be provided by healthcare providers working in long-term care facilities so as to improve the ability of the older people to acquire information independently.

PATIENT OR PUBLIC CONTRIBUTION

All 16 participants actively participated in the interview process and the preliminary preparation of the article.

Factors influencing technology use among low-income older adults: A systematic review

As the world's aging population increases, leveraging technology to support aging is proving advantageous. Notably, technology adoption studies among older adults have received increasing scholarly attention, but findings from these studies do not reflect the context of low-income older adults. Studies focusing on low-income older adults were relatively few and it remains unclear which factors influence this group's technology use. This systematic review aims to synthesize findings on factors influencing technology use among low-income older adults to provide directions and opportunities for future research in information systems. Observing the literature through the lens of Social Cognitive Theory, we identified avenues for future research and further integrated the framework with Maslow's hierarchy of needs to elucidate the phenomenon. Findings from this systematic review suggest that both personal and environmental factors, such as cognitions, affects, sociodemographic characteristics, technological and social environment are significant predictors of technology use among low-income older adults. Specifically, factors related to accessibility and affordability, such as income, perceived cost, and accessibility to technology are salient in a resource-limited setting. More importantly, the technology usage behavior elucidate the embeddedness of fundamental human needs which plays a central role underlying technology use among this segment. However, more research is needed to understand the interaction between person, environment and behavior determinant shaping technology use among low-income older adults from diverse economic and cultural setting. This study also sheds light on disciplinary gaps and the lack of investigations anchored on theoretical foundations, and suggests avenues for future research and implications for practice.

The Relationship Between eHealth Literacy and Mental Health of Adult Workers: A Cross-Sectional Study

The current cross-sectional study aimed to investigate eHealth literacy among adult workers in China and explore the relationship between eHealth literacy and mental health in this population. Convenience sampling was used to conduct a survey among adult workers aged 18 to 60 years. Potential participants were chosen from those who completed physical examinations at the Health Management Center of one hospital in China. Participants' eHealth literacy and mental health were assessed using the eHealth Literacy Scale, Patient Health Questionnaire, Generalized Anxiety Disorder Scale, and Perceived Stress Scale. Mean scores for eHealth literacy and perceived stress were 28.39 (SD = 5.78) and 5.49 (SD = 2.61), respectively. Depression and anxiety were found in 8.2% and 10.1% of participants, respectively. Multivariate logistic regression analysis showed that a 1-point increase in eHealth literacy score was associated with a 7% decrease in depressive symptoms (odds ratio [OR] = 0.93, 95% confidence interval [CI] [0.88, 0.99]) and a 6% decrease in anxiety symptoms (OR = 0.94, 95% CI [0.89, 0.99]). Furthermore, multiple linear regression analysis showed that perceived stress decreased 0.08 points (B = -0.08, 95% CI [-0.13, -0.04]) with every 1-point increase in eHealth literacy score. Thus, eHealth literacy has the potential to reduce risk of depression, anxiety, and perceived stress, and to promote the mental health of adult workers. [Journal of Psychosocial Nursing and Mental Health Services, 61(9), 40-46.].

An invigorating journey towards better function and well-being: A qualitative study of knee osteoarthritis patients' experiences with an online exercise and education intervention

Objective

To explore what it means for patients with knee osteoarthritis (OA) to engage in online delivered exercise and education.

Method

We combined participant observations and focus group interviews with knee OA patients who engaged in an 8-week program (12 exercise sessions and 2 education sessions) delivered online. Data underwent a three-level phenomenological-hermeneutic interpretation inspired by Ricoeur's narrative and interpretation theory.

Results

We performed 17 participant observations during online group-based exercise sessions with twenty individuals with knee OA (12 females), median age 71 years (range: 48 to 81), and five focus group interviews with fifteen of the individuals. The following three themes emerged from the data analysis: 1. Exercise engagement portrays an experience of ownership of the exercise-based treatment, leading to better function and well-being and raising hope for the future 2. A good start but only halfway supported portrays perceived well-guided in performing knee OA exercise, however also some unmet support needs in the online format, and 3. Beneficial peer companionship with online constraints portrays a socially engaging peer forum that, at times, was limited by the online format.

Conclusions

This phenomenological-hermeneutic study reflects that supervised online exercise and education facilitate identity mobility, potentially increasing self-efficacy to adopt weekly exercise habits in patients with knee OA. However, the program may benefit from enabling a more interactive approach between peer participants and combining the online format with physical group classes. Moreover, further individualization and focus on a gradual approach toward self-management are encouraged.

Sociodemographic determinants of digital health literacy: A systematic review and meta-analysis

INTRODUCTION

Differences in digital health literacy levels are associated with a lack of access to digital tools, usage patterns, and the ability to effectively use digital technologies. Although some studies have investigated the impact of sociodemographic factors on digital health literacy, a comprehensive evaluation of these factors has not been conducted. Therefore, this study sought to examine the sociodemographic determinants of digital health literacy by conducting a systematic review of the existing literature.

METHODS

A search of four databases was conducted. Data extraction included information on study characteristics, sociodemographic factors, and the digital health literacy scales used. Meta-analyses for age and sex were conducted using RStudio software with the metaphor package.

RESULTS

A total of 3922 articles were retrieved, of which 36 were included in this systematic review. Age had a negative effect on digital health literacy (B = -0.05, 95%CI [-0.06; -0.04]), particularly among older adults, whereas sex appeared to have no statistically significant influence among the included studies (B = - 0.17, 95%CI [-0.64; 0.30]). Educational level, higher income, and social support also appeared to have a positive influence on digital health literacy.

DISCUSSION

This review highlighted the importance of addressing the digital health literacy needs of underprivileged populations, including immigrants and individuals with low socioeconomic status. It also emphasizes the need for more research to better understand the influence of sociodemographic, economic, and cultural differences on digital health literacy.

CONCLUSIONS

Overall, this review suggests digital health literacy is dependent on sociodemographic, economic, and cultural factors, which may require tailored interventions that consider these nuances.

An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review

BACKGROUND

The prevalence of Parkinson disease (PD) is becoming an increasing concern owing to the aging population in the United Kingdom. Wearable devices have the potential to improve the clinical care of patients with PD while reducing health care costs. Consequently, exploring the features of these wearable devices is important to identify the limitations and further areas of investigation of how wearable devices are currently used in clinical care in the United Kingdom.

OBJECTIVE

In this scoping review, we aimed to explore the features of wearable devices used for PD in hospitals in the United Kingdom.

METHODS

A scoping review of the current research was undertaken and reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The literature search was undertaken on June 6, 2022, and publications were obtained from MEDLINE or PubMed, Embase, and the Cochrane Library. Eligible publications were initially screened by their titles and abstracts. Publications that passed the initial screening underwent a full review. The study characteristics were extracted from the final publications, and the evidence was synthesized using a narrative approach. Any queries were reviewed by the first and second authors.

RESULTS

Of the 4543 publications identified, 39 (0.86%) publications underwent a full review, and 20 (0.44%) publications were included in the scoping review. Most studies (11/20, 55%) were conducted at the Newcastle upon Tyne Hospitals NHS Foundation Trust, with sample sizes ranging from 10 to 418. Most study participants were male individuals with a mean age ranging from 57.7 to 78.0 years. The AX3 was the most popular device brand used, and it was commercially manufactured by Axivity. Common wearable device types included body-worn sensors, inertial measurement units, and smartwatches that used accelerometers and gyroscopes to measure the clinical features of PD. Most wearable device primary measures involved the measured gait, bradykinesia, and dyskinesia. The most common wearable device placements were the lumbar region, head, and wrist. Furthermore, 65% (13/20) of the studies used artificial intelligence or machine learning to support PD data analysis.

CONCLUSIONS

This study demonstrated that wearable devices could help provide a more detailed analysis of PD symptoms during the assessment phase and personalize treatment. Using machine learning, wearable devices could differentiate PD from other neurodegenerative diseases. The identified evidence gaps include the lack of analysis of wearable device cybersecurity and data management. The lack of cost-effectiveness analysis and large-scale participation in studies resulted in uncertainty regarding the feasibility of the widespread use of wearable devices. The uncertainty around the identified research gaps was further exacerbated by the lack of medical regulation of wearable devices for PD, particularly in the United Kingdom where regulations were changing due to the political landscape.

Internet Use, eHealth Literacy, and Influencing Factors in Turkish Cancer Patients: A Descriptive and Correlational Study

OBJECTIVES

This study aimed to determine the Internet use, eHealth literacy levels, and influencing factors in Turkish cancer patients.

DATA SOURCES

A descriptive and correlational study was conducted in a single cancer center with 296 patients. Data were collected using a personal information form, an Internet Usage Form, and the eHealth Literacy Scale (eHEALS). The data were analyzed using descriptive statistics, the Mann‒Whitney U test, Kruskal‒Wallis test, and multiple linear regression analysis.

CONCLUSION

The participants received health-related information from the Internet (36.8%) with a mean total eHEALS score of 22.92 ± 9.67. In the multiple linear regression analysis, the descriptive characteristics of the participants were negatively affected by age (β = -0.143) and education level (β = 0.204). The use of the Internet to obtain information about cancer (β = 0.455) positively affected the level of eHealth literacy. The eHealth literacy of patients is at a level that needs to be improved and there are factors affecting it.

IMPLICATIONS FOR NURSING PRACTICE

Nurses should increase patients' eHealth literacy and guide them on how to access accurate information about cancer on the Internet. While doing this, it should be planned to consider the age, education level, and Internet use of the patients.

Association Between Daily Internet Use and Incidence of Chronic Diseases Among Older Adults: Prospective Cohort Study

BACKGROUND

Chronic disease incidence among the elderly is increasing, which is correlated with the acceleration of population aging. Evolving internet technologies may help prevent and provide interventions for chronic diseases in an accelerating aging process. However, the impact of daily internet use on the incidence of chronic diseases is not well understood.

OBJECTIVE

This study aims to investigate whether daily internet use by middle-aged and older adults may inhibit or promote the occurrence of chronic diseases.

METHODS

We included participants from the China Health and Retirement Longitudinal Study (CHARLS), a longitudinal survey of Chinese residents aged ≥45 years. We assessed 8-year data from wave 1 (June 2011-March 2012) to wave 4 (July-September 2018) in CHARLS. Data from wave 4 were used for a cross-sectional study, and data from all 4 waves were used for a longitudinal study. Self-reported data were used to track variables, including internet use, use frequency, and the incidence of different chronic diseases. Cox proportional hazards modeling was applied in the longitudinal study to examine the relationship between daily internet use and chronic diseases among middle-aged and older adults, while adjusting for sociodemographic characteristics and health behaviors. In addition, longitudinal data were used to analyze internet usage trends, and cross-sectional data were used to analyze the factors influencing internet use.

RESULTS

Among the 20,113 participants included in the longitudinal analyses, internet use increased significantly, from 2% to 12.3%, between 2011 and 2018. The adjusted model found statistically significant relationships between daily internet use and a lower incidence of the following chronic diseases: hypertension (hazard ratio [HR] 0.78, 95% CI 0.65-0.95, P=.01), chronic lung disease (HR 0.74, 95% CI 0.57-0.97, P=.03), stroke (HR 0.69, 95% CI 0.50-0.94, P=.02), digestive disease (HR 0.73, 95% CI 0.58-0.91, P=.005), memory-related disorders (HR 0.58, 95% CI 0.37-0.91, P=.02), arthritis or rheumatism (HR 0.60, 95% CI 0.48-0.76, P<.001), asthma (HR 0.52, 95% CI 0.33-0.84, P=.007), depression (HR 0.80, 95% CI 0.71-0.89, P<.001), and vision impairment (HR 0.83, 95% CI 0.74-0.93, P=.004). Moreover, our study also showed that with increasing frequency of internet use, the risk of some chronic diseases decreases.

CONCLUSIONS

This study found that middle-aged and older adults who use the internet have a reduced risk of developing chronic diseases versus those who do not use the internet. The increasing prevalence of daily internet use among middle-aged and older adults may stimulate contemplation of the potential role of internet platforms in future research on chronic disease prevention.

Effectiveness of Digital Health Literacy Interventions in Older Adults: Single-Arm Meta-Analysis

BACKGROUND

In a world of rapid digital technology development, the lack of digital health literacy (DHL) among older people cannot be ignored. DHL is becoming an essential competency that can facilitate the health status and health management of older adults. DHL interventions that are feasible and appropriate can be implemented on a large scale through the health care system for older people.

OBJECTIVE

The purpose of this meta-analysis was to assess the effectiveness of DHL interventions for older adults.

METHODS

English publications in PubMed, Web of Science, Embase, and the Cochrane Library were searched from inception to November 20, 2022. Two reviewers independently completed the data extraction and quality assessment. Review Manager (version 5.4; Cochrane Informatics & Technology Services) software was used for all meta-analyses.

RESULTS

A total of 7 studies, including 2 randomized controlled trials and 5 quasi-experimental studies, involving 710 older adults were considered eligible. The main outcome was scores on the eHealth Literacy Scale, and secondary outcomes were knowledge, self-efficacy, and skills. Quasi-experimental studies compared baseline and postintervention outcomes, while randomized controlled trials compared pre- and postintervention outcomes in the intervention group. Of the 7 studies, 3 used face-to-face instruction, while 4 adopted web-based interventions. Among them, 4 of the interventions were conducted using theoretical guidance, while 3 were not. Intervention duration varied from 2 to 8 weeks. In addition, the studies included were all conducted in developed countries, mainly in the United States. Pooled analysis presented that DHL interventions had positive effects on eHealth literacy efficacy (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001). Subgroup analysis revealed that DHL interventions that chose face-to-face teaching (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001), were guided by a conceptual framework (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001), and were sustained over 4 weeks (standardized mean difference 1.1, 95% CI 0.46 to 1.84; P=.001) had a more significant effect. Moreover, the outcomes showed considerable gains in knowledge (standardized mean difference 0.93, 95% CI 0.54 to 1.31; P<.001) and self-efficacy (standardized mean difference 0.96, 95% CI 0.16 to 1.77; P=.02). No statistically significant effect was found for skills (standardized mean difference 0.77, 95% CI -0.30 to 1.85; P=.16). The small number of studies, variable study quality, and heterogeneity are some limitations of this review.

CONCLUSIONS

DHL interventions have positive effects on the health status and health management of older adults. Practical and effective DHL interventions are crucial for the use of modern digital information technology in managing the health of older people.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42023410204; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=410204.

Impact of digital health literacy on health-related quality of life in Chinese community-dwelling older adults: the mediating effect of health-promoting lifestyle

Background

In the context of aging and digitalization, the development and application of digital health can help meet the growing health needs of older adults. Improving digital health literacy of older adults may be an effective way to alleviate the shortage of public health resources and improve their health-related quality of life (HRQoL). However, the impact of digital health literacy on HRQoL in older adults and the underlying mechanism remain unclear. This study intends to explore whether digital health literacy has an effect on HRQoL in community-dwelling older adults, and whether health-promoting lifestyle plays a mediating role between digital health literacy and HRQoL, while providing a theoretical basis for the scientific construction of HRQoL intervention programs for older adults.

Methods

The cross-sectional study was conducted in Chongqing, China from September 2020 to April 2021. 572 community-dwelling older adults were surveyed by stratified sampling. Data on sociodemographic characteristics, digital health literacy, health-promoting lifestyle and HRQoL were collected. Univariate analysis was used to compare the differences in HRQoL among community-dwelling older adults with different sociodemographic characteristics. Pearson correlation analysis was used to explore the correlation between digital health literacy, health-promoting lifestyle and HRQoL. SPSS PROCESS macro was used to examine the mediating effect of health-promoting lifestyle between digital health literacy and HRQoL.

Results

The mean score of HRQoL was 97.97 (SD 11.45). Univariate analysis showed that there were statistically significant differences in HRQoL among community-dwelling older adults with different gender, age, educational level, marital status, and monthly household income per capita (p < 0.05). There were positive correlations between digital health literacy, health-promoting lifestyle and HRQoL, with correlation coefficients ranging from 0.416 to 0.706 (p < 0.001). Digital health literacy was positively associated with HRQoL (β = 0.210, p < 0.001), and health-promoting lifestyle mediated the relationship between digital health literacy and HRQoL, with an indirect effect of 0.175 (95% Bootstrap CI 0.135-0.214).

Conclusion

Digital health literacy can affect HRQoL through the mediating effect of health-promoting lifestyle. It is suggested that relevant management institutions, communities and families should strengthen the cultivation of the digital health literacy of older adults, promote their development of health-promoting lifestyle, and ultimately improve HRQoL.

Comparing In-Person Only, Telemedicine Only, and Hybrid Health Care Visits Among Older Adults in Safety-Net Clinics

Introduction

Older adults face challenges in seeking health care. This study examined factors associated with in-person only versus telemedicine only versus hybrid health care visits among adults 65+ in safety-net clinics.

Methods

Data were obtained from a large Texas-based Federally Qualified Health Center (FQHC) network. The dataset included 12,279 appointments for 3914 unique older adults between March and November 2020. The outcome of interest was a 3-level indicator of telemedicine visits: in-person visits only, telemedicine visits only, and hybrid (in person + telemedicine) visits during the study period. We used a multinomial logit model adjusting for patient level characteristics to assess the strength of the relationships.

Results

Compared to their white counterparts, black and Hispanic older adults were significantly likely to have telemedicine only visits versus in-person only visits (black RRR: 0.59, 95% confidence interval [CI]: 0.41-0.86; Hispanic RRR: 0.46, 95% CI: 0.36-0.60). However, there were no significant racial and ethnic differences in hybrid utilization (black RRR: 0.91, 95% CI: 0.67-1.23; Hispanic RRR: 0.86, 95% CI: 0.70-1.07).

Discussion

Our findings suggest that hybrid opportunities may bridge racial and ethnic disparities in access to care. Clinics should consider building capacity for both in-person and telemedicine opportunities as complementary strategies.

Factors Associated with Online Patient-Provider Communications Among Cancer Survivors in the United States during COVID: A Cross-Sectional Study

BACKGROUND

Online Patient-Provider Communication (OPPC) is crucial in enhancing access to health information, self-care, and related health outcomes among cancer survivors. The necessity of OPPC increased during SARS/COVID-19 (COVID), yet investigations in vulnerable subgroups have been limited.

OBJECTIVE

Thus, this study aimed to assess the prevalence of OPPC and sociodemographic and clinical characteristics associated with OPPC among cancer survivors and adults without a history of cancer during COVID vs. pre-COVID.

METHODS

Nationally representative cross-sectional survey data (Health Information National Trends Survey, HINTS 5 2017-2020) was used among cancer survivors (n= 1,900) and adults without a history of cancer (n= 13, 292). COVID included data from February to June 2020. We calculated the prevalence of three types of OPPC, defined as using email/internet, tablet/smartphone, or Electronic Health Records (EHR) for patient-provider communication, in the past 12 months. To investigate the associations of sociodemographic and clinical factors with OPPC, multivariable-adjusted weighted logistic regression was performed to obtain odds ratios (OR) and 95% confidence intervals (95% CI).

RESULTS

The average prevalence of OPPC increased from pre-COVID to COVID among cancer survivors (39.7% vs. 49.7%, email/internet; 32.2% vs. 37.9%, tablet/smartphone; 19.0% vs. 30.0%, EHR). Cancer survivors (OR=1.32, 95% CI 1.06-1.63) were slightly more likely to use email/internet communications than adults without a history of cancer prior to COVID. Among cancer survivors, email/internet (OR=1.61, 1.08-2.40) and EHR (OR=1.92, 1.22-3.02) were more likely to be used during COVID than pre-COVID. During COVID, subgroups of cancer survivors, including Hispanics (OR=0.26, 0.09-0.71 vs. non-Hispanic Whites), or those with the lowest income (OR=6.14, 1.99-18.92 $50,000 to <$75,000; OR=0.42, 1.56-11.28 ≥ $75,000 vs. <$20,000), with no usual source of care (OR=6.17, 2.12-17.99), or reporting depression (OR=0.33, 0.14-0.78) were less likely to use email/internet and those who were the oldest (OR=9.33, 2.18-40.01 age 35-49; OR=3.58, 1.20-10.70 age 50-64; OR=3.09, 1.09-8.76 age 65-74 vs. ≥75), unmarried (OR=2.26, 1.06-4.86) or had public/no health insurance (ORs=0.19-0.21 Medicare, Medicaid, or Other, vs. private) were less likely to use tablet/smartphone to communicate with providers. Cancer survivors with a usual source of care (OR=6.23, 1.66-23.39) or healthcare office visits within a year (ORs=7.55-8.25) were significantly more likely to use EHR to communicate. While not observed in cancer survivors, lower education level was associated with lower OPPC among adults without a history of cancer during COVID.

CONCLUSIONS

Our findings identified vulnerable subgroups of cancer survivors who were left behind in online patient-provider communications which are becoming an increasing part of healthcare. Those vulnerable subgroups of cancer survivors with lower OPPC should be helped through multidimensional interventions to prevent further inequities.

CLINICALTRIAL

Not applicable.

Diagnostic accuracy of eHealth literacy measurement tools in older adults: a systematic review

BACKGROUND

In Canada, virtual health care rapidly expanded during the COVID-19 pandemic. There is substantial variability between older adults in terms of digital literacy skills, which precludes equitable participation of some older adults in virtual care. Little is known about how to measure older adults' electronic health (eHealth) literacy, which could help healthcare providers to support older adults in accessing virtual care. Our study objective was to examine the diagnostic accuracy of eHealth literacy tools in older adults.

METHODS

We completed a systematic review examining the validity of eHealth literacy tools compared to a reference standard or another tool. We searched MEDLINE, EMBASE, CENTRAL/CDSR, PsycINFO and grey literature for articles published from inception until January 13, 2021. We included studies where the mean population age was at least 60 years old. Two reviewers independently completed article screening, data abstraction, and risk of bias assessment using the Quality Assessment for Diagnostic Accuracy Studies-2 tool. We implemented the PROGRESS-Plus framework to describe the reporting of social determinants of health.

RESULTS

We identified 14,940 citations and included two studies. Included studies described three methods for assessing eHealth literacy: computer simulation, eHealth Literacy Scale (eHEALS), and Transactional Model of eHealth Literacy (TMeHL). eHEALS correlated moderately with participants' computer simulation performance (r = 0.34) and TMeHL correlated moderately to highly with eHEALS (r = 0.47-0.66). Using the PROGRESS-Plus framework, we identified shortcomings in the reporting of study participants' social determinants of health, including social capital and time-dependent relationships.

CONCLUSIONS

We found two tools to support clinicians in identifying older adults' eHealth literacy. However, given the shortcomings highlighted in the validation of eHealth literacy tools in older adults, future primary research describing the diagnostic accuracy of tools for measuring eHealth literacy in this population and how social determinants of health impact the assessment of eHealth literacy is needed to strengthen tool implementation in clinical practice.

PROTOCOL REGISTRATION

We registered our systematic review of the literature a priori with PROSPERO (CRD42021238365).

Older adults' experience with virtual conversational agents for health data collection

Introduction

Virtual conversational agents (i.e., chatbots) are an intuitive form of data collection. Understanding older adults' experiences with chatbots could help identify their usability needs. This quality improvement study evaluated older adults' experiences with a chatbot for health data collection. A secondary goal was to understand how perceptions differed based on length of chatbot forms.

Methods

After a demographic survey, participants (≥60 years) completed either a short (21 questions), moderate (30 questions), or long (66 questions) chatbot form. Perceived ease-of-use, usefulness, usability, likelihood to recommend, and cognitive load were measured post-test. Qualitative and quantitative analyses were used.

Results

A total of 260 participants reported on usability and satisfaction metrics including perceived ease-of-use (5.8/7), usefulness (4.7/7), usability (5.4/7), and likelihood to recommend (Net Promoter Score = 0). Cognitive load (12.3/100) was low. There was a statistically significant difference in perceived usefulness between groups, with a significantly higher mean perceived usefulness for Group 1 than Group 3. No other group differences were observed. The chatbot was perceived as quick, easy, and pleasant with concerns about technical issues, privacy, and security. Participants provided suggestions to enhance progress tracking, edit responses, improve readability, and have options to ask questions.

Discussion

Older adults found the chatbot to be easy, useful, and usable. The chatbot required low cognitive load demonstrating it could be an enjoyable health data collection tool for older adults. These results will inform the development of a health data collection chatbot technology.

Preliminary Testing of A Web-Based Lung Cancer Screening Decision Coaching Toolfor Older Chinese American Smokers and Their Providers

OBJECTIVES

To examine the acceptability of a culturally targeted lung cancer screening decision aid developed for older Chinese Americans with a smoking history and primary care providers serving this patient population.

METHODS

Study participants reviewed a web-based decision aid (DA) for lung cancer screening named "Lung Decisions Coaching Tool (LDC-T)." Participants completed a baseline survey and were invited to join an interview. During the interview, participants engaged with the Lung Decisions Coaching Tool and then completed standardized measures of acceptability, usability, and satisfaction.

RESULTS

Chinese American smokers (N =22) and Chinese American physicians (N=10) rated the acceptability and usability of a patient version and provider versions of the LDC-T, respectively. Patient version demonstrated high levels of acceptability, usability and satisfaction. Most participants rated the information provided as good or excellent, the amount of tool information was just right, and they thought the tool would be useful for making a screening decision. The tool was well received by participants for ease of use and well-integrated functions. Furthermore, participants indicated they would like to use the tool to help prepare for lung cancer screening shared decision-making with their provider. Similar results were found for the provider version of the LDC-T.

CONCLUSIONS

Lung cancer screening represents an evidence-based approach to reducing lung cancer morbidity and mortality among chronic high-frequency smokers. Study results suggest the acceptability of a culturally targeted lung cancer screening decision aid for Chinese American smokers and providers. Additional research is needed to determine the effectiveness of the DA in increasing appropriate levels of screening in this underserved population.

Comparison of eHealth Literacy Scale (eHEALS) and Digital Health Literacy Instrument (DHLI) in Assessing Electronic Health Literacy in Chinese Older Adults: A Mixed-Methods Approach

This study compared the reliability, construct validity, and respondents' preference of the Chinese version of 8-item eHEALS (C-eHEALS) and 21-item DHLI (C-DHLI) in assessing older adults' electronic health (eHealth) literacy using a mixed-methods approach. A web-based, cross-sectional survey was conducted among 277 Chinese older adults from September to October 2021, and 15 respondents were subsequently interviewed to understand their preference of scale to use in practice. Results showed that the internal consistency and test-retest reliability of both scales were satisfactory. For the construct validity, the C-DHLI score showed stronger positive correlations with having Internet use for health information and higher educational attainments, occupational skill levels, self-rated Internet skills, and health literacy than the C-eHEALS score. In addition, younger age, higher household income, urban residence, and longer Internet use history were only positively correlated with C-DHLI score. Qualitative data suggested that most interviewees perceived the C-DHLI as more readable than C-eHEALS for its clear structure, specific description, short sentence length, and less semantic complexity. Findings revealed that both scales are reliable tools to measure eHealth literacy among Chinese older adults, and the C-DHLI seemed to be a more valid and favored instrument for the general Chinese older population based on the quantitative and qualitative results.

The Relation Between eHealth Literacy and Health-Related Behaviors: Systematic Review and Meta-analysis

BACKGROUND

With widespread use of the internet and mobile devices, many people have gained improved access to health-related information online for health promotion and disease management. As the health information acquired online can affect health-related behaviors, health care providers need to take into account how each individual's online health literacy (eHealth literacy) can affect health-related behaviors.

OBJECTIVE

To determine whether an individual's level of eHealth literacy affects actual health-related behaviors, the correlation between eHealth literacy and health-related behaviors was identified in an integrated manner through a systematic literature review and meta-analysis.

METHODS

The MEDLINE, Embase, Cochrane, KoreaMed, and Research Information Sharing Service databases were systematically searched for studies published up to March 19, 2021, which suggested the relationship between eHealth literacy and health-related behaviors. Studies were eligible if they were conducted with the general population, presented eHealth literacy according to validated tools, used no specific control condition, and measured health-related behaviors as the outcomes. A meta-analysis was performed on the studies that could be quantitatively synthesized using a random effect model. A pooled correlation coefficient was generated by integrating the correlation coefficients, and the risk of bias was assessed using the modified Newcastle-Ottawa Scale.

RESULTS

Among 1922 eHealth literacy-related papers, 29 studies suggesting an association between eHealth literacy and health-related behaviors were included. All retrieved studies were cross-sectional studies, and most of them used the eHealth Literacy Scale (eHEALS) as a measurement tool for eHealth literacy. Of the 29 studies, 22 presented positive associations between eHealth literacy and health-related behaviors. The meta-analysis was performed on 14 studies that presented the correlation coefficient for the relationship between eHealth literacy and health-related behaviors. When the meta-analysis was conducted by age, morbidity status, and type of health-related behavior, the pooled correlation coefficients were 0.37 (95% CI 0.29-0.44) for older adults (aged ≥65 years), 0.28 (95% CI 0.17-0.39) for individuals with diseases, and 0.36 (95% CI 0.27-0.41) for health-promoting behavior. The overall estimate of the correlation between eHealth literacy and health-related behaviors was 0.31 (95% CI 0.25-0.34), which indicated a moderate correlation between eHealth literacy and health-related behaviors.

CONCLUSIONS

Our results of a positive correlation between eHealth literacy and health-related behaviors indicate that eHealth literacy can be a mediator in the process by which health-related information leads to changes in health-related behaviors. Larger-scale studies with stronger validity are needed to evaluate the detailed relationship between the proficiency level of eHealth literacy and health-related behaviors for health promotion in the future.

Computer habits and digital literacy in geriatric patients: A survey

Objective

Among hospitalised geriatric patients, only half are computer users. However, many of them refrain from using telehealth solutions. This study aimed to investigate geriatric patients' computer and Internet habits and digital literacy and their associations with stress levels and frequency of Internet use.

Methods

Inpatients and outpatients aged 65 years or older, all computer users, were consecutively surveyed. Besides information about computer and Internet habits, computer support, and computer stress, the survey also collected information about digital literacy using the electronic Health Literacy Assessment toolkit.

Results

A total of 124 computer users with a mean age of 80.6 ± 7.4 years participated in the study from 1 October to 1 December 2019. Most patients received computer support from their children and grandchildren, whereas 6% did not seek support. They found themselves 'most familiar with using a keyboard' (79%), 59% 'were unfamiliar with the Copy Paste function', and only one-third 'were open to new ways of using computers'. Digital literacy was associated with the frequency of Internet use (P = 0.001), and higher digital literacy was associated with less computer stress (P = 0.01).

Conclusions

Geriatric computer users are challenged by their basic computer skills, which may influence their choice of participation in telehealth solutions. If telehealth solutions are to succeed among geriatric patients, individualised computer support based on their basic computer skills and user-friendly computer devices are a prerequisite. For ongoing support, it is also necessary to introduce people close to the patient to telehealth solutions.

The impact of internet use on health status among older adults in China: The mediating role of social support

Background

With the popularization of the Internet, the use of the Internet is becoming more and more important in the daily life of older adults. However, previous research mainly focuses on Internet use and health in general, and the mechanism of this effect remains to be studied. To bridge this gap, this study aims to explore the mediational effects of social support between Internet use and health among older adults in China.

Methods

The data used in this article are from the 2021 Chinese General Social Survey (CGSS). Social support is divided into two aspects and four dimensions: informal social support (relatives support, friends support, neighbors support) and formal social support (social insurance). This article uses the nested multivariate OLS regression models to analyze the impact of Internet use on health. Furthermore, Finally, SPSS macro PROCESS is applied to test their mediation effects.

Results

Informal social support positively influenced the health status among older adults, while formal social support did not. Among the three types of informal social support, relatives support and friends support significantly affected health status among Chinese older adults. Regarding social support differences between urban and rural areas, it was found that relatives support is a positively significant factor for rural older adults, while friends support is significant for urban older adults.

Conclusions

Since Internet use has many ways of impacting health status, social support only plays a partial mediating role in this study. It recommends that the government should take compelling measures to encourage and promote the use of the Internet among older adults and obtain various social support to improve their health status.

User experiences of older adults navigating an online database of community-based physical activity programs

Objectives

This study aimed to (1) explore older adult user experiences navigating an online health database of local physical activity programs; (2) compare navigational feedback with age-friendly website design guidelines; (3) assess online database completeness.

Methods

Focus groups, including guided tasks and a semi-structured interview script, gathered navigational user experiences of fifteen older adults. A review of the literature sought age-friendly best practice website design guidelines and a website search for local physical activity programs was completed.

Results

The design of the online database website was challenging for older adult participants to navigate and was not ‘intuitive’. Based on focus group feedback, there were multiple discrepancies between the evaluated online database and the established guidelines for designing age-friendly websites. A total of 187 physical activity programs were missing from the database.

Conclusions

Findings provide novel insight into user experiences of older adults navigating online health and physical activity program sites. Redesigning the following age-friendly website recommendations would empower older adults in the use of online databases and promote awareness of local physical activity programs. Health care providers need reliable and age-friendly online resources to link their patients with local physical activity programs to promote healthy aging.

The association between information and communication technologies, loneliness and social connectedness: A scoping review

Older adults are at a higher risk of loneliness, compared to other demographics. The use of Internet Communication and Technologies (ICTs) among older adults is steadily increasing and given ICTs provide a means of enhancing social connectedness suggests they may have positive effects on reducing loneliness. Therefore, the aim of this scoping review was to examine the research that explores how ICTs may be implicated in mitigating loneliness and increasing social connectedness among older adults. After the examination of 54 articles, we identified three major themes within the literature: (1) ICTs were associated with a reduction in loneliness and increase in wellbeing. (2) ICTs promoted social connectedness by facilitating conversations. (3) Factors such as training, self-efficacy, self-esteem, autonomy, and the design/features, or affordances, of ICTs contribute toward the associations between ICT use and wellbeing. The heterogeneity of methodologies, statistical reporting, the small sample sizes of interventional and observational studies, and the diversity of the experimental contexts underline the challenges of quantitative research in this field and highlights the necessity of tailoring ICT interventions to the needs and contexts of the older users.

Associations between health literacy, digital skill, and eHealth literacy among older Chinese adults: A cross-sectional study

Objective

Digital divide in health-related technology use is a prominent issue for older adults. Improving eHealth literacy may be an important solution to this problem. This study aimed to explore the associations between health literacy, digital skills, and eHealth literacy among older Chinese adults.

Methods

A total of 2,144 older adults (mean age, 72.01  ±  6.96 years) from Jinan City, China participated in this study. The eHealth Literacy Scale was used to measure eHealth literacy in older adults. A linear regression model was used to analyze the associations among health literacy, digital skills, and eHealth literacy in older Chinese adults.

Results

The mean eHealth literacy score of the older adults was 17.56  ±  9.61. After adjusting for sociodemographic characteristics and experience of Internet usage, the results of the linear regression showed that health literacy (B  =  0.258, 95% confidence interval (CI)  =  0.215-0.302, P< 0.001) and digital skills (B  =  0.654, 95% CI  =  0.587-0.720, P < 0.001) were positively associated with eHealth literacy. Sensitivity analyses revealed that this association remained robust.

Conclusions

The level of eHealth literacy in older Chinese adults is low. Health literacy and digital skills are associated with eHealth literacy in older adults. In the future, eHealth literacy intervention research should be considered from the perspective of health literacy and digital skills.

Reaching Ambulatory Older Adults with Educational Tools: Comparative Efficacy and Cost of Varied Outreach Modalities in Primary Care

BACKGROUND

Providing patients with access to health information that can be obtained outside of an office visit is an important part of education, yet little is known about the effectiveness of outreach modalities to connect older adults to online educational tools. The objective was to identify the effectiveness and cost of outreach modalities providing online information about advance care planning (ACP) for older adults.

METHODS

Six different outreach modalities were utilized to connect patients to online educational tools (ACP video decision aids). Participants were 13,582 patients aged 65 and older of 185 primary care providers with appointments over a 30-month period within a large health system in the greater New York City area. Main outcome measures were number of online video views and costs per outreach for each modality.

KEY RESULTS

There were 1150 video views for 21,407 remote outreach events. Text messages, sent to the largest volume of patients (8869), had the highest outcome rate (9.6%) and were the most economical ($0.09). Characterization of phone calls demonstrated 21.7% engagement in the topic of ACP but resulted in minimal video views (<1%) and incurred the highest cost per outreach ($2.88). In-office handouts had negligible results (<1%).

CONCLUSIONS

Text was the most cost-effective modality to connect older adults to an online educational tool in this pragmatic trial, though overall efficacy of all modalities was low.

The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps

With the development of mobile communication technology, persuasive technology is widely used in mobile health. Using personalized persuasive strategies in mobile health education (MHE) apps can effectively improve users’ health literacy and health behaviors. The transtheoretical model explains the process of user behavior change. Different usage frequency of the app reflects changes in user behavior. However, few studies have examined how the perceived importance of persuasive strategies among older adults changes with increasing use frequency. In this study, we analyzed the sensitivity of 111 older adults in China to persuasive strategies in MHE apps. Thirteen persuasive strategies were selected for this study. A repeated measure analysis of variance (RM-ANOVA) was used to demonstrate the influence of gender, health information attention and frequency of use on the sensitivity of perceived persuasive strategies among older adults. The results revealed older adults with a high usage frequency of health apps were more receptive to persuasive strategies, especially in social comparison strategy. This result may help developers consider factors such as the frequency of use by older users when designing personalized persuasive strategies for MHE apps.

Understanding online health information seeking behavior of older adults: A social cognitive perspective

Introduction

Online health information seeking has been verified to play a crucial role in improving public health and has received close scholarly attention. However, the seeking behavior of older adults, especially the underlying mechanism through which they are motivated to seek health information online, remains unclear. This study addresses the issue by proposing a theoretical model leveraging social cognitive theory.

Methods

IT self-efficacy and IT innovativeness were identified as personal factors and professional support and social support were identified as environmental factors. We conducted a survey that included 347 older people in China and examined the research hypotheses with a structural equation model.

Results

IT self-efficacy and IT innovativeness facilitate older adults to seek health information online by increasing their perceived benefit of using the internet. Additionally, professional support and social support enhanced older adults' online seeking behavior by promoting their health awareness. We also found that perceived benefit displayed a stronger impact than health awareness on older adults' behavior related to searching for health information online.

Conclusion

This study reveals that IT self-efficacy, IT innovativeness, professional support, and social support will promote older adults to seek health information online by enhancing their health awareness and perceived benefit. The findings of this study provide significant theoretical and practical implications.

DIGItal Health Literacy after COVID-19 Outbreak among Frail and Non-Frail Cardiology Patients: The DIGI-COVID Study

BACKGROUND

Telemedicine requires either the use of digital tools or a minimum technological knowledge of the patients. Digital health literacy may influence the use of telemedicine in most patients, particularly those with frailty. We aimed to explore the association between frailty, the use of digital tools, and patients' digital health literacy.

METHODS

We prospectively enrolled patients referred to arrhythmia outpatient clinics of our cardiology department from March to September 2022. Patients were divided according to frailty status as defined by the Edmonton Frail Scale (EFS) into robust, pre-frail, and frail. The degree of digital health literacy was assessed through the Digital Health Literacy Instrument (DHLI), which explores seven digital skill categories measured by 21 self-report questions.

RESULTS

A total of 300 patients were enrolled (36.3% females, median age 75 (66-84)) and stratified according to frailty status as robust (EFS ≤ 5; 70.7%), pre-frail (EFS 6-7; 15.7%), and frail (EFS ≥ 8; 13.7%). Frail and pre-frail patients used digital tools less frequently and accessed the Internet less frequently compared to robust patients. In the logistic regression analysis, frail patients were significantly associated with the non-use of the Internet (adjusted odds ratio 2.58, 95% CI 1.92-5.61) compared to robust and pre-frail patients. Digital health literacy decreased as the level of frailty increased in all the digital domains examined.

CONCLUSIONS

Frail patients are characterized by lower use of digital tools compared to robust patients, even though these patients would benefit the most from telemedicine. Digital skills were strongly influenced by frailty.

A Rapid Systematic Review on the Experiences of Cancer Survivors Residing in Rural Areas during the COVID-19 Pandemic

The COVID-19 pandemic has caused considerable disruption to cancer care and may have exacerbated existing challenges already faced by cancer survivors from rural areas. This has created a need for a rapid evidence synthesis to inform the development of tailored interventions that address the specific needs of rural cancer survivors who continue to be affected by the pandemic. The review was conducted following guidance from the Cochrane Rapid Review Methods Group. Database searches were performed via the EBSCOHost interface (includes MEDLINE, CINAHL, PsycINFO) on 25 May 2022 and supplemented with searches on Google Scholar. Peer-reviewed articles published after March 2020 that reported primary data on the experiences of cancer survivors residing in rural and remote settings during the pandemic were included. Findings were tabulated and written up narratively. Fourteen studies were included. The COVID-19 pandemic had a mostly detrimental impact on the experiences of rural cancer survivors. People's individual coping mechanisms were challenging for a range of reasons. Specifically, the pandemic impacted on their ability to access testing, treatment, check-ups and supportive care, their ability to maintain and access social support with close friends and family, as well as negative consequences to their finances and emotional wellbeing with some reporting feelings of psychological distress including depression and anxiety. This review provides important insight into the experiences of rural cancer survivors that may help inform tailored support in line with the needs and challenges faced because of the pandemic.