Older adults, e-health literacy, and collaborative learning: An experimental study

An integrative systematic review on interventions to improve layperson's ability to identify trustworthy digital health information

Health information on the Internet has a ubiquitous influence on health consumers' behaviour. Searching and evaluating online health information poses a real challenge for many health consumers. To our knowledge, our systematic review paper is the first to explore the interventions targeting lay people to improve their e-health literacy skills. Our paper aims to explore interventions to improve laypeople ability to identify trustworthy online health information. The search was conducted on Ovid Medline, Embase, Cochrane database, Academic Search Complete, and APA psych info. Publications were selected by screening title, abstract, and full text, then manual review of reference lists of selected publications. Data was extracted from eligible studies on an excel sheet about the types of interventions, the outcomes of the interventions and whether they are effective, and the barriers and facilitators for using the interventions by consumers. A mixed-methods appraisal tool was used to appraise evidence from quantitative, qualitative, and mixed-methods studies. Whittemore and Knafl's integrative review approach was used as a guidance for narrative synthesis. The total number of included studies is twelve. Media literacy interventions are the most common type of interventions. Few studies measured the effect of the interventions on patient health outcomes. All the procedural and navigation/ evaluation skills-building interventions are significantly effective. Computer/internet illiteracy and the absence of guidance/facilitators are significant barriers to web-based intervention use. Few interventions are distinguished by its implementation in a context tailored to consumers, using a human-centred design approach, and delivery through multiple health stakeholders' partnership. There is potential for further research to understand how to improve consumers health information use focusing on collaborative learning, using human-centred approaches, and addressing the social determinants of health.

Improving the eHealth literacy of older adults: A scoping review

The World Health Organization stresses eHealth literacy's importance for effective health management, particularly among older adults, whose eHealth literacy is globally low and unequal. This scoping review aims to identify strategies to enhance their eHealth literacy. A literature search was performed in eight electronic databases until February 20, 2024, found 1629 records, with 24 meeting inclusion criteria. Most studies (8 of 17, 47.1 %) employed health behavior and learning theories. Interventions materials commonly utilized existing or self-designed websites or applications, with some U.S. studies incorporating standardized training materials. Outcome measures included information, psychological motivation, and behavioral change. The eHealth literacy scale was frequently used to assess eHealth literacy. Coach education combined with classroom exercises proved effective, and online health education was pivotal during the COVID-19 pandemic. Future research should focus on enhancing study design, utilizing comprehensive but concise assessment tools, tailoring interventions to theoretical frameworks, and prioritizing privacy and security.

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.

Impact of a culturally adapted digital literacy intervention on older people and its relationship with health literacy, quality of life, and well-being

Introduction

Older people are the group with the greatest digital gap, so their digital literacy is important to improve the conditions in which they age.

Methods

A study was conducted with pre- and post-evaluation of a digital literacy (DL) intervention in people aged 60 years and over. A total of 56 participants (experimental group N = 32 and control group N = 24) were recruited for convenience in community centers. The intervention was adapted to the needs of the participants, there were five face-to-face sessions and remote reinforcement for three months, carried out by trained university students for five months. Sociodemographic variables such as self-perception of socioeconomic level and education, among others, were evaluated. The impact was assessed using the digital literacy scale (MDPQ16), indicators of frequency and types of internet and mobile phone use, health literacy (SAHLSA and NSV), quality of life (SF-12), hedonic well-being (Diener's SWLS and Cummins' PWI) and perceived social support using the Zimet scale.

Results

The intervention had a significant impact with an effect size of r = 0.27 on digital literacy, separate t-test comparisons revealed a markedly significant change for digital literacy in the experimental group, before and after the pre-post t-test(31) = 3.56, p = 0.001, but not in the control group, t(23) = 0.082, p = 0.93. No direct impact on health literacy, health-related quality of life, and hedonic well-being was identified. We examined the indirect impact of change in digital literacy and found that it correlated with improvements in well-being and social support, as well as quality of life. Individuals with significant changes were detected and compared with those who did not change.

Discussion

Evaluation that contributes by identifying elements for improvement in future interventions and discusses the importance of culturally adapting continuing education in older people.

Human technology intermediation to reduce cognitive load: understanding healthcare staff members' practices to facilitate telehealth access in a Federally Qualified Health Center patient population

OBJECTIVES

The aim of this study was to investigate how healthcare staff intermediaries support Federally Qualified Health Center (FQHC) patients' access to telehealth, how their approaches reflect cognitive load theory (CLT) and determine which approaches FQHC patients find helpful and whether their perceptions suggest cognitive load (CL) reduction.

MATERIALS AND METHODS

Semistructured interviews with staff (n = 9) and patients (n = 22) at an FQHC in a Midwestern state. First-cycle coding of interview transcripts was performed inductively to identify helping processes and participants' evaluations of them. Next, these inductive codes were mapped onto deductive codes from CLT.

RESULTS

Staff intermediaries used 4 approaches to support access to, and usage of, video visits and patient portals for FQHC patients: (1) shielding patients from cognitive overload; (2) drawing from long-term memory; (3) supporting the development of schemas; and (4) reducing the extraneous load of negative emotions. These approaches could contribute to CL reduction and each was viewed as helpful to at least some patients. For patients, there were beneficial impacts on learning, emotions, and perceptions about the self and technology. Intermediation also resulted in successful visits despite challenges.

DISCUSSION

Staff intermediaries made telehealth work for FQHC patients, and emotional support was crucial. Without prior training, staff discovered approaches that aligned with CLT and helped patients access technologies. Future healthcare intermediary interventions may benefit from the application of CLT in their design. Staff providing brief explanations about technical problems and solutions might help patients learn about technologies informally over time.

CONCLUSION

CLT can help with developing intermediary approaches for facilitating telehealth access.

Collaborative learning of new information in older age: a systematic review

Ageing is accompanied by a multitude of changes in cognitive abilities, which in turn affect learning. Learning collaboratively may benefit older adults by negating some of these age-related changes. However, studies on collaborative learning in older age differ in their methodology and findings. This systematic review provides an overview of the current research on collaborative learning in older age, exploring what factors influence collaborative learning in this age group. The titles and abstracts of imported 6629 works were screened, as well as four works added manually, which resulted in 29 studies. These studies were conducted across five countries (Canada, United States, United Kingdom, Switzerland and Belgium) between 1993 and 2023. Most studies were quantitative with a non-randomized (n = 16) design. Of the 29 studies, almost all studied collaboration in pairs (n = 28). The results suggest that the benefits of collaborating in older age may depend on the type of learning material, that familiarity between partners does not affect learning, and that age differences appear to decrease or disappear when older adults are provided with adequate time or trials. In addition, this systematic review identifies several gaps in the literature that future research should investigate further. This study was preregistered prior to its commencement on 21 January 2022. The accepted Stage 1 manuscript, unchanged from the point of in-principle acceptance, may be viewed at https://osf.io/tj4w7/. The data and materials of this study can be found at https://osf.io/8xvqf/.

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.

Effects of gender diversity on college students' collaborative learning: From individual gender to gender pairing

This study investigated the effects of gender and gender pairing on behaviors and social interaction during collaborative learning in a blended learning environment. Three types of pairing (all-female, all-male, and mixed) were considered in an empirical study with 44 undergraduate students. The results revealed that, first, female students were more likely to perform well in listening, talking, and integrating during class, and in the quality of posts after class, whereas male students tended to engage more in irrelevant behavior in collaboration. Second, same-gender groups were more active in collaborative discussion, but all-male groups performed worst in quality of posts after class. Third, both male and female students were more active in same-gender groups than in mixed groups. Finally, same-gender groups tended to have greater interpersonal connectedness than mixed-gender groups. The paper ends with a list of practical implications for facilitating effective collaborative learning in co-educational college classrooms.

Individualistic Versus Collaborative Learning in an eHealth Literacy Intervention for Older Adults: Quasi-Experimental Study

BACKGROUND

Older adults tend to have insufficient health literacy, which includes eHealth literacy-the ability to access, assess, and use digital health information. Interventions using methods such as collaborative learning (CL) and individualistic learning (IL) may be effective in addressing older adults' low eHealth literacy, but little is known about the short- and long-term effects of CL versus IL on older adults' eHealth literacy.

OBJECTIVE

The objective of this study was to use a 3 × 2 × 3 mixed factorial design to examine older adults' learning with CL versus IL for eHealth literacy.

METHODS

Older adults (N=466; mean age 70.5, SD 7.2; range 60-96 years) from diverse racial and ethnic groups were randomly assigned to either the CL or IL group (233/466, 50% in each). The intervention consisted of 4 weeks of training in 2-hour sessions held twice a week. Using ANOVA and multiple regression, we focused on the main effects of learning condition and interaction between learning condition and previous computer experience. Learning method (CL or IL) and previous computer experience (experienced, new, or mixed) were between-subject variables, and time of measurement (pretest measurement, posttest measurement, and 6-month follow-up) was the within-subject variable. Primary outcome variables were eHealth literacy efficacy, computer and web knowledge, basic computer and web operation skills, information-seeking skills, and website evaluation skills. Control variables were age, sex, education, health status, race and ethnicity, income, primary language, and previous health literacy.

RESULTS

eHealth literacy efficacy, computer and web knowledge, basic computer and web operation skills, information-seeking skills, and website evaluation skills improved significantly (P<.001 in all cases) from before to after the intervention. From postintervention measurement to 6-month follow-up, there was a significant interaction between learning condition and previous computer experience based on 1 outcome measure, computer and web operation skills (F2,55=3.69; P=.03). To maintain computer and web operation skills 6 months after the intervention, it was more effective for people with little to no previous computer experience to learn individually, whereas for people with more previous computer experience, it was more effective to learn collaboratively. From postintervention measurement to 6-month follow-up, statistically significant decreases were found in 3 of the 5 outcome measures: eHealth literacy efficacy, computer and web knowledge, and basic computer and web operation skills (P<.001 for all 3 cases).

CONCLUSIONS

Older adults' eHealth literacy can be improved through effective intervention, and the IL or CL condition may have little effect on short-term outcomes. However, to maintain long-term benefits, it may be best to learn collaboratively with others who have similar previous computer experience. eHealth literacy is multidimensional, with some components retained better over time. Findings suggest a need for resources to provide continuous training or periodic boosting to maintain intervention gains.

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.

Evaluating a theory-based intervention for improving eHealth literacy in older adults: a single group, pretest-posttest design

BACKGROUND

The Internet is considered an important channel for providing health information to older adults. We developed an intervention to improve eHealth literacy in older adults according to the information-motivation-behavioral skills (IMB) theory and Intervention Mapping. This study aimed to analyze the effect of a developed intervention on information, motivation, behavioral skills, and behaviors related to eHealth information in older adults.

METHODS

Forty-six older adults over the age of 65 were recruited from two senior welfare centers in a city in South Korea. We divided the participants into four groups and conducted one intervention per group from March to December 2019. One intervention consisted of 5 sessions and was performed once a week (2 h/1 time) for 5 weeks, culminating in a total lecture time of 10 h. One lecture instructor and two assistant instructors supported the participants in the computer practices.

RESULTS

Participants' computer/web knowledge, perceived ease of use, perceived enjoyment, and attitude toward eHealth information showed statistically significant increases. The eHealth literacy efficacy score, searching performance score, and understanding score were also significantly increased. However, there was no significant difference in perceived usefulness.

CONCLUSION

The application of the current theory-based methodology can improve the quality of research in eHealth literacy. Additionally, various interventions should be developed and continuously applied to improve eHealth literacy among older adults.

Association between Internet Usage and Quality of Life of Elderly People in England: Evidence from the English Longitudinal Study of Ageing (ELSA)

The WHO has stated that the number of senior citizens above age 65 across the world will double by the year 2050: in the UK, the whole population is projected to grow by about 2.5% over a decade, from mid-2018. Although people are living longer, they are not healthier in old age, and there is an increasing number of illnesses and disabilities in the ageing population, which have an impact on their overall well-being and quality of life (QoL). Alongside these trends, Internet technologies have improved and provide a wide range of information, including on medical and health issues. This study aimed to examine the association between the utilisation of the internet among older people in England and their QoL. This study utilised the English Longitudinal Study of Aging (ELSA), a longitudinal study of a representative sample of people aged 50 and over in England. The data from Wave 9 were analysed using bivariate analysis and logistic regression. The results show a strong association between QoL and utilisation of the Internet in older people, even when adjusting for demographic variables and health. Higher use of the internet was associated with older people being less likely to have higher QoL. The excessive use of the internet for communication and gathering information also contributed to lower QoL. From the findings, poorer QoL was also found in people in older age groups, in those who are married, and those who never suffer from chronic diseases. Our findings suggest that the quality of life in older people might not only be associated with the frequency of usage but also the purpose for which the internet is used; however, this relationship is complex and further research should explore this in greater depth. Further research should also investigate how older people's use of the Internet changed during the COVID-19 pandemic and the effects of this on the QoL in older age.

Health literacy, health literacy interventions and decision-making: a systematic literature review

Purpose

The purpose of this paper is to assess the relationship between elderly people's health literacy skills and those people's decision to make use of digital health service platforms. Despite the substantial influence of digitisation on the delivery of healthcare services, understanding how health intervention strategies might help empower elderly people's health literacy skills is critical.

Design/methodology/approach

This paper analyses the existing trends in research on the convergence of health literacy, health intervention programmes and digital health service platforms by reviewing 34 studies published between 2000 and 2020.

Findings

The findings of the review indicate three primary themes (health literacy skills, health management competency and attitude/confidence), which provide a summary of the current literature, and in all three the results show that health intervention programmes help to enhance health literacy skills of elderly people. Based on the review results and by organising the fragmented status quo of health intervention research, the authors develop a comprehensive research model and identify future research directions for research in this domain.

Practical implications

The findings will be useful to health professionals in two ways: (1) the findings provide practical information about the growing need to implement health literacy intervention programmes to satisfy elderly people's appetite for accessing health services due to cognitive and physiological impairments, and (2) the finding help them to understand that with digital health platforms, elderly people have quicker access to health services, improving the quality of care provided to them.

Originality/value

This paper presents a comprehensive research model for analysing the impact of health literacy skills on older people's ability and intention to access digital health information sources, considering various health intervention approaches.

eHealth Interventions for Dutch Cancer Care: Systematic Review Using the Triple Aim Lens

BACKGROUND

Globally, the burden of cancer on population health is growing. Recent trends such as increasing survival rates have resulted in a need to adapt cancer care to ensure a good care experience and manageable expenditures. eHealth is a promising way to increase the quality of cancer care and support patients and survivors.

OBJECTIVE

The aim of this systematic review was 2-fold. First, we aimed to provide an overview of eHealth interventions and their characteristics for Dutch patients with and survivors of cancer. Second, we aimed to provide an overview of the empirical evidence regarding the impact of eHealth interventions in cancer care on population health, quality of care, and per capita costs (the Triple Aim domains).

METHODS

The electronic databases Web of Science, PubMed, Cochrane, and Ovid PsycINFO were searched using 3 key search themes: eHealth interventions, cancer care, and the Netherlands. The identified interventions were classified according to predetermined criteria describing the intervention characteristics (eg, type, function, and target population). Their impact was subsequently examined using the Triple Aim framework.

RESULTS

A total of 38 interventions were identified. Most of these were web portals or web applications functioning to inform and self-manage, and target psychosocial factors or problems. Few interventions have been tailored to age, disease severity, or gender. The results of this study indicate that eHealth interventions could positively affect sleep quality, fatigue, and physical activity of patients with and survivors of cancer. Inconclusive results were found regarding daily functioning and quality of life, psychological complaints, and psychological adjustment to the disease.

CONCLUSIONS

eHealth can improve outcomes in the Triple Aim domains, particularly in the population health and quality of care domains. Cancer-related pain and common symptoms of active treatment were not targeted in the included interventions and should receive more attention. Further research is needed to fully understand the impact of eHealth interventions in cancer care on participation, accessibility, and costs. The latter can be examined in economic evaluations by comparing eHealth interventions with care as usual.

Librarians’ support in improving health literacy: A systematic literature review

The last couple of decades health literacy has gained significant momentum among the issues listed as priority within the public health sphere. In addition, the advances of Information and Communications Technology, the adoption of digital technology to perform basic tasks in our daily lives and thus the re-orientation of health care has led to the introduction of e-health literacy and digital health literacy. Hence, different groups of users needs to develop and acquire the additional digital skills and competences to search, retrieve, access and use health information. This study aims to review the literature concerning librarians’ involvement in health literacy that published between 2010 and 2020 using the principles of systematic literature review. Specifically, search terms such as “health literacy,” “information professional/s,” “librarian/s,” and “library” were run on ACM Digital Library, Scopus, Library, Information Science and Technology Abstracts (LISTA), Library and Information Science Abstracts (LISA), Citeseer, Google Scholar, e-prints in Library and Information Science (e-LiS), Digital Library of Information Science and Technology (DLIST), PubMed and Science Direct. The searches were performed during October–November 2020 and were repeated in January–February 2021; and after considering a series of inclusion and exclusion criteria 57 peer-reviewed papers were considered. Six broad areas of interest emerged through a thorough analysis of the identified, relevant literature namely “role of librarians in relation to health literacy development,” “user studies related to health literacy,” “health literacy programs,” “health literacy and LIS education,” “ health literacy initiatives” and “tools used by librarians in health literacy projects.” Main findings showcase that libraries as secure and trusted places can play a key role in developing and promoting health literacy to different groups; new job titles emerge for librarians (consumer health librarian, health information services librarians, health literacy librarian); whereas collaboration is a key element for developing and offering health literacy training programs to diverse group of users as well as the public.

Assessing the Effects of eHealth Tutorials on Older Adults' eHealth Literacy

eHealth literacy is the ability to access, assess, and use digital health information. This study compared the effects of a multimedia tutorial versus a paper-based control in improving older adults' eHealth literacy from pre- to posttest. A total of 99 community-dwelling older adults (63-90 years old; mean = 73.09) participated from July 2019 to February 2020. Overall, knowledge about computer/Internet terms, eHealth literacy efficacy, knowledge about the quality of health information websites, and procedural skills in computer/Internet use improved significantly from pre- to posttest. No interaction effect was found between time and group. Participants in both groups had an overwhelmingly positive attitude toward training. Their attitudes toward training approached a statistically significant difference between the two conditions: F (1, 89) = 3.75, p = .056, partial η² = .040, with the multimedia condition showing more positive attitudes. These findings have implications for designing effective eHealth literacy interventions for older adults.

Technology Learning and the Adoption of Telehealth Among Community-Dwelling Older Adults During the COVID-19 Outbreak

The present study aims to examine changes in the prevalence of telehealth utilization in older adults before and during the COVID-19 outbreak, and to investigate the relationship between learning a new technology and the adoption of telehealth during the outbreak. The study sample came from the National Health and Aging Trend Study COVID-19 Supplement (N=1769). The adoption of telehealth was assessed for utilization of emails and video calls to communicate with healthcare providers. Logistic regressions were performed to test the study aims. The findings showed that older adults substantially increased the utilization of telehealth during the outbreak. Additionally, learning a new technology is related to the adoption of both emails and video calls to access telehealth. The findings suggest that older adults may be motivated and able to quickly learn a new technology that is required to access telehealth during the COVID-19 outbreak.

Online health information seeking and eHealth literacy among Spanish language- dominant Latinos receiving care in a community clinic (Preprint)

Background

eHealth literacy is the ability to seek, obtain, and decipher online health information (OHI) for health and disease management. Rapid developments in eHealth (eg, health care services and online information) place increased demands on patients to have high eHealth literacy levels. Yet, greater emphasis on eHealth may disproportionately affect groups with limited eHealth literacy. Cultural background, language, and eHealth literacy are influential considerations affecting health care and information access, health care use, and successful eHealth resource use, and they may influence OHI seeking for behavioral change toward cancer prevention.

Objective

This study aimed to characterize the extent of OHI seeking and eHealth literacy among Spanish-dominant (SD) Latino adults aged 50 to 75 years. Further, we aimed to examine potential associations between sociodemographic characteristics, Preventive Health Model (PHM) constructs, OHI-seeking behaviors, and eHealth literacy, separately.

Methods

Participants (N=76) self-identified as Latino, were enrolled in a colorectal cancer (CRC) screening intervention, were aged 50 to 75 years, were at average risk for CRC, were not up to date with CRC screening, and preferred receiving health information in Spanish. We describe participants’ sociodemographic characteristics, PHM constructs, OHI-seeking behaviors, and eHealth literacy—among those seeking OHI—assessed at enrollment. Descriptive analyses were first performed for all variables. Next, primary univariate logistic analyses explored possible associations with OHI seeking. Finally, using data from those seeking OHI, exploratory univariate analyses sought possible associations with eHealth literacy.

Results

A majority (51/76, 67%) of the participants were female, 62% (47/76) reported not having graduated high school, and 41% (31/76) reported being unemployed or having an annual income of less than US $10,000. Additionally, 75% (57/76) of the participants reported not having health insurance. In total, 71% (54/76) of the participants reported not having sought OHI for themselves or others. Univariate logistic regression suggested that higher educational attainment was significantly associated with an increased likelihood of having sought OHI (odds ratio 17.4, 95% CI 2.0-150.7; P=.009). Among those seeking OHI (22/76, 29%), 27% (6/22) were at risk of having low eHealth literacy based on an eHealth Literacy Scale score of less than 26. Among OHI seekers (22/76, 29%), an examination of associations found that higher eHealth literacy was associated with greater self-efficacy for screening with the fecal immunochemical test (β=1.20, 95% CI 0.14-2.26; P=.02).

Conclusions

Most SD Latino participants had not sought OHI for themselves or others (eg, family or friends), thus potentially limiting access to beneficial online resources. Preliminary findings convey that higher eHealth literacy occurs among those with higher self-efficacy for CRC screening. Findings inform areas of focus for future larger-scale investigations, including further exploration of reasons for not seeking OHI among SD Latino adults and an in-depth look at eHealth literacy and cancer screening behaviors.

Trial Registration

ClinicalTrials.gov NCT03078361; https://clinicaltrials.gov/ct2/show/NCT03078361

Factors associated with eHealth literacy focusing on digital literacy components: A cross-sectional study of middle-aged adults in South Korea

Background

Digital technology has dramatically changed the world in which we live, and the ability to access and understand information through these new technologies is becoming increasingly important. eHealth literacy is closely related to digital literacy, and some concepts may overlap to a certain extent. Identifying personal and digital-related factors related to eHealth literacy levels in middle-aged adults would be useful for planning tailored interventions and health promotion strategies.

Objective

We aimed to identify the differences in digital literacy and eHealth literacy levels according to demographic features, and to elucidate the factors associated with eHealth literacy in the middle-aged population.

Methods

We conducted a cross-sectional, observational study from 4th to 8th February 2021. A total of 320 South Korean participants aged 40–64 years were recruited and completed an online questionnaire, where demographic features, chronic disease status, frequency of Internet use, digital skills, digital competence, and eHealth literacy were measured. eHealth literacy was measured with the eHEALS. We used multiple regression analysis to elucidate the factors associated with eHealth literacy.

Results

Multiple regression analysis revealed that digital competence was the highest contributor to an individual's eHealth literacy (β = 0.330, P < 0.001), while digital skills was not significantly associated with eHealth literacy (β = 0.086, P = 0.267). In addition, eHealth literacy was positively associated with increasing age (β = 0.258, P < 0.001), female gender (β = −0.118, P = 0.022), and higher education levels (β = 0.114, P = 0.041), while marital state, chronic disease, and frequency of internet use were not significantly associated with eHealth literacy.

Conclusions

Our study provides valuable information on digital literacy and eHealth literacy in middle-aged adults and may be used to guide tailored interventions for improving eHealth literacy. Future studies should consider the differences in digital literacy levels across generations when assessing eHealth literacy or planning digital health interventions.

A Comprehensive Analysis of E-Health Literacy Research Focuses and Trends

Objective: To sort out the research focuses in the field of e-health literacy, analyze its research topics and development trends, and provide a reference for relevant research in this field in the future. Methods: The literature search yielded a total of 431 articles retrieved from the core dataset of Web of Science using the keywords “ehealth literacy”, “E-health literacy” and “electronic health literacy”. A bibliometric analysis was performed by using CiteSpace to explore the development history, hot themes, and trends of future research in the field of e-health literacy. Results: The thematic evolution path in e-health literacy was divided into three stages. The research focuses were inspected from four aspects: evaluation, correlation with health-promotion behaviors, influencing factors, and intervention measures for improvement. Conclusion: E-health literacy research faces challenges such as the development of the connotation of the term, the objectivity of evaluation methods, and the long-term impact of interventions. Future research themes in e-health literacy will include the standardization of evaluation instruments and the individualization of therapeutic strategies.

Older adults in virtual communities: understanding the antecedents of knowledge contribution and knowledge seeking through the lens of socioemotional selectivity and social cognitive theories

Purpose

As older adults are increasingly active in virtual communities (VCs), these platforms for knowledge exchange present opportunities for companies to use elder human capital. The purpose of this study is to understand the antecedent factors that motivate older adults’ knowledge contribution and knowledge seeking (KS) behaviors in VCs.

Design/methodology/approach

Rooted in socio-emotional selectivity and social cognitive theories, this study included five key variables and developed models for older adults’ knowledge contributing (KC)/KS behaviors. This paper tested the hypotheses using data from a sample of 204 older adults in 3 VCs in China.

Findings

The results provide support for most of the hypotheses and show that while other members’ participation (MP) acts as a substitute for meaning in life and attitude toward aging, it acts as a complement for outcome expectations (OE) focused on others and OE focused on oneself in their impacts on KC/KS activities.

Practical implications

The study provides practical insights for developing elder human resources via VCs to avoid knowledge loss.

Originality/value

This study described older adults’ unique characteristics when modeling their information and communication technologies-related behaviors and built two models to explain their KC/KS behaviors. It confirmed that the same factor has different levels of impact on older adults’ KC/KS behaviors in VCs. In addition, it confirmed and reinforced the complementary and substitutive effects of other MP as an environmental factor on these behaviors.

Building on Evidence to Improve eHealth Literacy in Older Adults: A Systematic Review

This review aimed to provide information on ways to improve eHealth literacy in older adults by assessing current studies examining eHealth literacy. To achieve the aim, this review focused on what theories or theoretical frameworks were used in the studies, what factors were related to eHealth literacy, and what outcome variables were used in eHealth literacy interventions for older adults. Five electronic databases were searched to identify eligible studies. The Cochrane Handbook for Systematic Reviews of Interventions was followed to select relevant studies, and narrative synthesis was performed. Among a total of 27 studies, 13 described theories or theoretical frameworks. Credibility in Internet health information, knowledge, and experience were identified as modifiable factors related to eHealth literacy. The most frequently used outcome variable was eHealth literacy efficacy. Nurses who are interested in improving eHealth literacy in older adults should consider appropriate theoretical frameworks and multiple factors influencing eHealth literacy.

Online questionnaire, clinical and biomechanical measurements for outcome prediction of plantar heel pain: feasibility for a cohort study

BACKGROUND

Plantar heel pain (PHP) accounts for 11-15% of foot symptoms requiring professional care in adults. Recovery is variable, with no robust prognostic guides for sufferers, clinicians or researchers. Therefore, we aimed to determine the validity, reliability and feasibility of questionnaire, clinical and biomechanical measures selected to generate a prognostic model in a subsequent cohort study.

METHODS

Thirty-six people (19 females & 17 males; 20-63 years) were recruited with equal numbers in each of three groups: people with PHP (PwPHP), other foot pain (PwOP) and healthy (H) controls. Eighteen people performed a questionnaire battery twice in a randomised order to determine online and face-to-face agreement. The remaining 18 completed the online questionnaire once, plus clinical measurements including strength and range of motion, mid-foot mobility, palpation and ultrasound assessment of plantar fascia. Nine of the same people underwent biomechanical assessment in the form of a graded loaded challenge augmenting walking with added external weight and amended step length on two occasions. Outcome measures were (1) feasibility of the data collection procedure, measurement time and other feedback; (2) establishing equivalence to usual procedures for the questionnaire battery; known-group validity for clinical and imaging measures; and initial validation and reliability of biomechanical measures.

RESULTS

There were no systematic differences between online and face-to-face administration of questionnaires (p-values all > .05) nor an administration order effect (d = - 0.31-0.25). Questionnaire reliability was good or excellent (ICC2,1_absolute)(ICC 0.86-0.99), except for two subscales. Full completion of the survey took 29 ± 14 min. Clinically, PwPHP had significantly less ankle-dorsiflexion and hip internal-rotation compared to healthy controls [mean (±SD) for PwPHP-PwOP-H = 14°(±6)-18°(±8)-28°(±10); 43°(±4)- 45°(±9)-57°(±12) respectively; p < .02 for both]. Plantar fascia thickness was significantly higher in PwPHP (3.6(0.4) mm vs 2.9(0.4) mm, p = .01) than the other groups. The graded loading challenge demonstrated progressively increasing ground reaction forces.

CONCLUSION

Online questionnaire administration was valid therefore facilitating large cohort recruitment and being relevant to remote service evaluation and research. The physical and ultrasound examination revealed the expected differences between groups, while the graded loaded challenge progressively increases load and warrants future research. Clinician and researchers can be confident about these methodological approaches and the cohort study, from which useful clinical tools should result, is feasible.

LEVEL OF EVIDENCE

IV.

Internet health information education for older adults: A pilot study

This study aimed to develop internet health information education program, and to explore the program's feasibility and preliminary effects. We made use of an intervention mapping approach and adopted as conceptual framework the information-motivation-behavioral skills model to develop the program. We evaluated the feasibility and the impact of the education program using a single-group pretest-posttest design using generalized equation estimation. Eleven older adults participated in the classes from January 25 to February 22, 2019. Each outcome of the behavioral theory-based components of the program-computer/Web knowledge (p < .001), attitude toward internet-based health information (p = .002), eHealth literacy score (p < .001), searching performance scores (p < .001), and level of understanding of internet-based health information (p = .002)-showed significant improvement immediately after the intervention. This pilot study reveals that a behavior theory-based education program for utilizing internet-based health information is an effective way to increase older adults' eHealth literacy.

Internet use and need for digital health technology among the elderly: a cross-sectional survey in China

Background

China is becoming an aging society at the fastest pace in history, and there are a large number of empty nesters in the country. With economic and social development, internal support systems among families are gradually weakening. Supporting the elderly is thus emerging as a significant issue, and promoting digital health technologies is an effective way to help address it. Encouraging the application of Internet to elderly care and Internet use among the elderly are important means of promoting digital health technologies. This paper examines the current state of the use of the Internet by the elderly and factors influencing it (including physical, psychological, and social) as well as demand among the elderly for smart services.

Methods

A total of 669 subjects over the age of 60 years were randomly selected from 13 cities in Heilongjiang province and surveyed using questionnaires from May 1 to July 31, 2018. The questionnaires were collected for descriptive statistics, the chi-square test, and the analysis of influential factors.

Results

Of the people surveyed, 38.6% used the Internet. Their favorite online activity was online dating (74.2%), and the health information they obtained through the Internet was mainly related to diet (63.1%) and exercise (47.1%). The subjects demanded smart bracelets (MD = 2.80) and emergency callers (MD = 2.77). Gender, age, education, monthly income, quality of life, number of friends, and social participation were found to have an impact on Internet use.

Conclusions

More measures are needed to reduce barriers to the use of the Internet and promote digital health technologies. The society, equipment manufacturers, and family members of the elderly should work together to enable them to reap the benefits of online technologies.

Theory-based E-health literacy interventions in older adults: a systematic review

Background

e-health literacy can facilitate the uptake of benefits of health for older adults. In this review, we aimed to tabulate the types and outcomes of the theory-based e-health interventions that had been applied to improve the e-health literacy of older adults.

Methods

In this systematic review, theory-based e-health literacy interventions that published up to April 2020 were retrieved from several online electronic databases, including Medline via PubMed, Cochrane Library, ProQuest, and EMBASE. The published papers were included in this study, if the study had been conducted on older adults, a theory-based intervention aimed at promoting e-health literacy, and had been written in English language in the timeframe of 2008–2020.

Results

A total of 1658 records were identified initially, of which, 12 articles met the inclusion criteria. The systematic review identified the using of variety of intrapersonal, interpersonal, and societal level conceptual models in enhancing of e-health literacy in older adults, and the concept of self-efficacy was applied in the most of interventions as the main conceptual theoretical framework.

Conclusions

Despite the paucity of conceptual models, which are specifically designed for e-health literacy interventions, based on our findings, we recommend self-efficacy as a powerful concept that can play an important role in improving e-health literacy in older adults.

Factors in the Effectiveness of e-Health Interventions for Chronic Back Pain: How Self-Efficacy Mediates e-Health Literacy and Healthy Habits

Background: Self-management and healthy habits (long-term health-related behaviors) are life-long requirements for the prevention of chronic back pain. Adherence to health interventions is often low because of the target groups' lack of interest. Electronic health (e-Health) information offers an opportunity to solve this issue, but many e-Health interventions are of poor quality. This study explores factors in the effectiveness of e-Health interventions and health-related behavioral changes and, thus, is among the first to develop a theoretical basis for e-Health programs. Materials and Methods: An online survey was conducted among the target groups of primary and secondary health programs promoting the management of possibly chronic back pain in Germany and Austria (N = 224). Measurements of e-Health literacy (eHL), self-efficacy, organized physical exercise, and the patients' social and mental balance were applied in all cases. Participants were categorized into dichotomous subgroups regarding the severity of their back pain. In addition to several significance tests, a correlation analysis and mediation analysis were both performed using PROCESS version 2.0 for SPSS. Results: It was observed in the nonrisk group that self-efficacy has a mediation effect on the connection between eHL and healthy habits. Significant correlations between eHL and self-efficacy in both groups revealed associations between the major driving forces of healthy habits. Conclusion: In keeping with previous research, the findings suggest that a high level of self-efficacy plays a significant role in correctly performing e-Health interventions. Nevertheless, further research should identify the effects of online social surroundings on eHL and self-efficacy in detail.

Health Literacy in Web-Based Health Information Environments: Systematic Review of Concepts, Definitions, and Operationalization for Measurement

Background

Health literacy research seems to lack a consensus on what aspects to include into literacy in the context of health and on how to operationalize these concepts for measurement purposes. In addition to health literacy, several other concepts, such as electronic health (eHealth) literacy and mental health literacy, have been developed across disciplines. This study examines how these different concepts are used when studying health-related competencies in Web contexts.

Objective

This study systematically reviews health literacy concepts and definitions and their operationalization in studies focused on Web-based health information environments.

Methods

A systematic literature search was conducted in April 2016 in 6 electronic databases with a limitation to articles in English published between January 2011 and April 2016. Altogether, 1289 unique records were identified and screened according to the predefined inclusion criteria: (1) original, peer-reviewed research articles written in English; (2) the topic of the article concerned literacy in the context of health; (3) informants of the study were lay people, not health professionals or students of the field; and (4) the focus of the study was placed on an Web-based information environment. In total, 180 full texts were screened, of which 68 were included in the review. The studies were analyzed with an emphasis on the used health literacy concepts and measures.

Results

On the basis of the included studies, several concepts are in use when studying health-related literacy in Web environments, eHealth literacy and health literacy being the most common ones. The reviewed studies represent a variety of disciplines, but mostly medical sciences. Typically, quantitative research methods are used. On the basis of the definitions for health literacy, 3 thematic categories were identified: general and skill-based, multidimensional, and domain-specific health literacy. Most studies adopted a domain-specific concept, followed by the ones that used a general and skill-based concept. Multidimensional concepts occurred least frequently. The general health literacy concepts were usually operationalized with reading comprehension measures, the domain-specific concepts with self-efficacy measures, and multidimensional concepts with several types of measures. However, inconsistencies in operationalization were identified.

Conclusions

The results show that in studies conducted in Web-based information environments, several different health literacy concepts are in use, and there is no clear consensus on the definitions for these concepts. Future studies should place emphasis on the conceptual development of health literacy in Web contexts to gain better results on operationalization for measurement. Researchers are encouraged to provide clear operational definitions for the concepts they use to ensure transparency in reporting.

Development of a techno-humanist model for e-health adoption of innovative technology

BACKGROUND AND PURPOSE

After investing billions of dollars in an integrated Electronic Medical Records (physicians) and Personal Health Records (patients) system to allow both parties to manage and communicate through e-health innovative technologies, Canada is still making slow adoption progress. In an attempt to bridge the human and technological perspectives by developing and testing a holistic model, this study purports to predict patients' behavioral intentions to use e-health applications.

METHODS

An interdisciplinary approach labelled as a techno-humanism model (THM) is testing twelve constructs identified from the technological, sociological, psychological, and organizational research literature and deemed to have a significant effect upon and positive relationship with patients' e-health applications adoption. Subjects were Canadians recruited in a mall-intercept mode from a region representing a demographically diverse population, including rural and urban residents. The SmartPLS measurement tool was used to evaluate the reliability and validity of study constructs. The twelve constructs were separately tested with quantitative data such as factor analysis, single, multiple, and hierarchical multiple regression.

RESULTS

The hierarchical multiple regression analysis process led us to formulate four models, each hinged on a combination of interdisciplinary variables. Model 1 consisted of the technological predictors and explained 62.3% (p < .001) of variance in the behavioral intention to use e-health. Model 2 added the sociological predictors to the equation and explained 72.3% (p < .001) of variance. Model 3 added the psychological predictors to Model 2 and explained 72.8% (p < .001). Finally, Model 4 included all twelve predictors and explained 73% (p < .001) of variance in the behavioral intention to use e-health applications.

CONCLUSIONS

One of the greatest barriers to applying e-health records in Canada resides in the lack of coordination among stakeholders. The present study implies that healthcare policy makers must consider the twelve variables with their findings and implications as a whole. The techno-humanist model (THM) we are proposing is a more holistic and continuous approach. It pushes back to a breakdown of the various technological, sociological, psychological, and managerial factors and stakeholders that are at the root cause of behavioral intentions to use e-health, as opposed to merely observing behavioral outcomes at the end of the "assembly line". Active participation and coordination of all stakeholders is a key feature.

Media Health Literacy, eHealth Literacy, and the Role of the Social Environment in Context

Health literacy describes skills and competencies that enable people to gain access to, understand and apply health information to positively influence their own health and the health of those in their social environments. In an increasingly media saturated and digitized world, these skill sets are necessary for accessing and navigating sources of health information and tools, such as television, the Internet, and mobile apps. The concepts of Media Health Literacy (MHL) and eHealth Literacy (eHL) describe the specific competencies such tasks require. This article introduces the two concepts, and then reviews findings on the associations of MHL and eHL with several contextual variables in the social environment such as socio-demographics, social support, and system complexity, as a structural variable. As eHL and MHL are crucial for empowering people to actively engage in their own health, there is a growing body of literature reporting on the potential and the effectiveness of intervention initiatives to positively influence these competencies. From an ethical standpoint, equity is emphasized, stressing the importance of accessible media environments for all—including those at risk of exclusion from (digital) media sources. Alignment of micro and macro contextual spheres will ultimately facilitate both non-digital and digital media to effectively support and promote public health.

Effects of two-week e-learning on eHealth literacy: a randomized controlled trial of Japanese Internet users

Background

The Internet is widely used as a source of information by people searching for medical or healthcare information. However, information found on the Internet has several drawbacks, and the ability to consume accurate health information on the Internet (eHealth literacy) is increasingly important. This study’s goal was to clarify the extent to which eHealth literacy is improved after e-learning in a randomized controlled trial.

Methods

Data were collected on 301 Japanese adults through an online survey. Participants were assigned to the intervention (e-learning about eHealth literacy) group or the control group in a 1:1 ratio. The intervention group included 148 participants, and 153 participants were in the control group. The participants provided information at baseline on demographic characteristics, self-rated health, and frequency of Internet searching. The eHealth Literacy Scale (eHEALS), which was the main measure of eHealth literacy, and data on secondary outcomes (the Healthy Eating Literacy Scale and skill for evaluating retrieved search results) were obtained at baseline and at follow-up. The score difference was calculated by subtracting the score at baseline from the score at follow-up. Linear regression analysis and multinomial regression analysis were performed using the differences in score as the dependent variables and the intervention as the explanatory variable. Intention-to-treat analysis was employed.

Results

The results from participants who responded to all of the questions both times were analyzed (134 in the intervention group and 148 in the control group). eHEALS increased 1.57 points due to the intervention effect (Δ score change = 1.57; 95% CI [0.09–3.05]; p = 0.037). Skills for evaluating retrieved search results improved more in the intervention group than in the control group (relative risk ratio = 2.47; 95% Confidence Interval: 1.33, 4.59; p = 0.004). There were no large differences at baseline between the intervention and control groups in the eHEALS, Healthy Eating Literacy scale, or skill for evaluating retrieved search results. However, at follow-up, the intervention group had improved more than the control group on both the eHEALS and skill for evaluating retrieved search results.

Discussion

eHealth literacy improved after the e-learning, as evidenced by the change to the eHEALS scores and increased skill for evaluating retrieved search results. There was no significant effect of e-learning, which did not include content on healthy eating, on the Healthy Eating Literacy Scale scores. This indicates that scores did not increase much due to effects other than e-learning, as is sometimes seen with the Hawthorne effect. Although it was statistically significant, the effect size was small. Therefore, future research is necessary to verify the clinical implications. In sum, this study suggests that e-learning is an effective way to improve eHealth literacy.

Development of Saudi e-health literacy scale for chronic diseases in Saudi Arabia: using integrated health literacy dimensions

OBJECTIVE

Health literacy has become a global issue, and it is important that patients and individuals are able to use information technology to access health information and educational services. The research objective is to develop a Saudi e-health literacy scale (SeHL) for measuring e-health literacy among Saudis suffering from non-communicable diseases (NCD).

METHODS

Overall, 14 relevant papers in related interdisciplinary fields were reviewed to select the most useful literacy dimensions. From these articles, we extracted the most common dimensions used to measure e-health literacy across the disciplines. Multiple workshops with multidisciplinary team members reviewed and evaluated items for SeHL.

RESULTS

Four key aspects of e-health literacy-use of technology/media, information-seeking, usefulness and confidence-were identified and integrated as e-health literacy dimensions. These will be used to measure e-health literacy among Saudi patients with NCDs. A translation from Arabic to English was performed in order to ensure that translation process was accurate. A SeHL scale was developed to measure e-health literacy among Saudi patients. By understanding e-health literacy levels, we will be able to create a patient-education system to be used by patients in Saudi Arabia.

CONCLUSIONS

As information technology is increasingly used by people of all ages all over the world, e-health literacy has been identified as a key factor in determining health outcomes. To date, no comprehensive scale exists to assess e-health literacy levels among speakers of Arabic, particularly among people with NCD such as diabetes, cardiovascular diseases and hypertension.

Associations of eHealth literacy with health-promoting behaviours among hospital nurses: A descriptive cross-sectional study

AIMS

To investigate the associations of eHealth Literacy with health-promoting behaviours among hospital nurses in South Korea.

BACKGROUND

Health-promoting behaviours of nurses are crucial for their own improved health and health-related behaviours of patients. eHealth literacy refers to the ability to search, understand and evaluate health information available online. With the growing use of the Internet, eHealth literacy is emerging as an important factor enhancing health-promoting behaviours.

DESIGN

Descriptive cross-sectional design with self-reported questionnaires.

METHODS

Data were collected between March-May 2016 from five hospitals in South Korea. Health-promoting behaviours and eHealth literacy were assessed using Health Promoting Lifestyle Profile-II and K-eHEALS, respectively. Multiple linear regression models were used to examine the associations of eHealth literacy and health-promoting behaviours.

RESULTS

Nurses with high level of eHealth literacy had significantly positive overall health-promoting behaviours, stress management, interpersonal relations, self-actualization and health responsibility, but not for nutrition and physical activity.

CONCLUSION

Improving eHealth literacy through various strategies could be an effective way to boost health-promoting behaviours among nurses. However, improvement of actual health-promoting behaviours such as nutrition and physical activity will require systematic and organizational changes.

Community-based initiatives improving critical health literacy: a systematic review and meta-synthesis of qualitative evidence

BACKGROUND

Critical health literacy enables older adults to make informed health decisions and take actions for the health and wellbeing of themselves and their community, within their own social and cultural context. A community-based approach has the potential to improve the critical health literacy of older adults and their communities. However, it is not clear how such initiatives consider critical health literacy. Therefore, this study explored how community-based initiatives address the critical health literacy of older adults and their communities.

METHODS

A systematic literature search was conducted. Two reviewers independently screened titles and abstracts, as well as the quality of the methodological and community-based elements of the studies. In addition, a meta-synthesis was carried out, consisting of a qualitative text analysis of the results sections of the 23 included studies.

RESULTS

We identified two main themes, which are practices that contribute to the critical health literacy of older adults as well as their communities: 1) collaborative learning, and 2) social support. In these practices we identified reciprocity as a key characteristic of both co-learning and social support.

CONCLUSIONS

This study provides the first overview of community-based initiatives that implicitly address the critical health literacy of older adults and their community. Our results demonstrate that in the context of one's own life collaborative learning and social support could contribute to people's understanding and ability to judge, sift and use health information. We therefore suggest to add these two practices to the definition of critical health literacy.

Health literacy and libraries: a literature review

Purpose

The purpose of this paper is to assess the involvement of libraries in health literacy programs and initiatives based on a review of the literature.

Design/methodology/approach

Four databases were searched for papers that described health literacy programs and initiatives within libraries.

Findings

Several themes of health literacy programs in libraries emerged: health literacy for older adults, underserved populations, the general public, healthcare professionals, and medical students, and patients. Collaborations between libraries and community organizations were frequently used.

Practical implications

Librarians may use this review to understand the history of health literacy efforts and libraries to inform future programming. This review will contextualize current research on health literacy and libraries.

Originality/value

Despite the currency and relevance of this topic, there are no literature reviews on health literacy and librarianship.

Harnessing the Web: How E-Health and E-Health Literacy Impact Young Adults' Perceptions of Online Health Information

Background

The rise of technology has changed how people take control of their health, enabling individuals to choose to live healthier lives and make better treatment decisions. With this said, the Internet has emerged as the channel used by individuals for actively seeking or passively receiving health information.

Objective

To explore how young adults assess the quality of health information, and how they construct meaning of online health information in general. Through 50 in-depth interviews, this study aims to examine how and why young adults turn to the Web for health information, and what strategies they employ to ensure that they are getting credible information.

Methods

A total of 50 in-depth interviews were conducted with young adults to explore how they make meaning of online health information. Depending on the geographic area of the participant, the interview took place face-to-face at a location convenient for them, over Skype, or over the telephone and lasted on average 40 minutes. The interviews were transcribed verbatim, fully retaining the speech style of the moderator and the participants. Data were analyzed using techniques from the grounded theory approach, using a constant comparative method to allow for themes to emerge from the transcripts.

Results

The participants shared several benefits to this mode of health information seeking, claiming that it made for more productive visits with doctors and made health information more readily accessible through a variety of different formats. Additionally, the participants demonstrated their e-health literacy levels by discussing how they assessed online health information, engaging in a series of strategies that encompassed different aspects of e-health literacy. Social media channels were brought up by the participants as relatively new tools that can be used to assist in the seeking, understanding, and sharing of health information. However, participants also cautioned about the use of social media in regards to its informal nature, warning users to evaluate sources accordingly and to use these channels as supplementary outlets of information for more traditional channels.

Conclusions

The use of the Internet and technology for health purposes is a growing area for both scholarship and practice that has strong implications for health consumers, medical professionals, and communicators alike. The findings that emerged from this research demonstrated that the online space is an acceptable channel through which young adults can find and share information. However, in spite of the rising usage of social media by this particular group, the findings showed that they were hesitant and wary of the channel, not seeing it as a resource for health information but more of a channel for networking and entertainment. In spite of this, this study shows that the online health information seeking behaviors is an area that warrants further exploration.

A mapping analytic approach to trace development of multidisciplinary research field

Purpose

– This paper aims to provide clear domain knowledge and recent progresses on electronic healthcare (e-healthcare).

Design/methodology/approach

– In this paper, the authors use citation analysis to describe the trends of study on e-health with the help of CiteSpace II, a software for visualizing citation-based analysis. By analyzing the 2,752 publications and their citation data in ISI database, the authors proposed renewable figures and tables on ranking critical people, institutes, keywords and journals. Through the most influential articles given by CiteSpace, the authors can grasp the main direction in e-health researches. Furthermore, the authors analyzed the literature at e-health literacy as a case, to better understand the development of research viewpoints.

Findings

– Through the analysis, the authors found that e-health is a multi-disciplinary research field and the major research about it has changed. During the early stage, health information quality on the Internet dominates. Gradually, the role of information technology (IT) becomes more important. The authors also found that some researchers, recently, have proposed the effects of IT on e-health literacy which can then improve the ability to use health information on the Internet.

Research limitations/implications

– This paper has some research limitations, such as using an ISI database with most English publications. The future research may be conducted for collecting local publications data in China. It also has some implications. Based on the results, the authors claimed that IT may significantly improve people’s healthcare variance, e.g. e-health literacy. It is necessary to build new IT-based healthcare theories.

Practical implications

– This paper also has some practical implications. Practitioners and institute may easily come to know which are the hot topics, top institutes and tendencies in the e-healthcare field.

Social implications

– This paper may help practitioners to find common interests with other institutions and societies.

Originality/value

– This paper reported the status and trend of research in this field visually, and the result will help researchers to do more in-depth research in the future.

Self-reported eHealth literacy among undergraduate nursing students in South Korea: a pilot study

BACKGROUND

With the Internet being the preferred primary source for information seekers, 9 out of 10 Internet users report that they have looked online for health information in South Korea. Nurses as well as nursing students need to be knowledgeable about online health information resources and able to evaluate relevant information online in order to assist patients and patients' families' access.

STUDY OBJECTIVE

The purpose of the study was to assess eHealth literacy among undergraduate nursing students in South Korea. The specific aims were to: 1) identify the self-reported eHealth literacy levels, and 2) determine differences in levels of eHealth literacy between pre-nursing and nursing students.

METHODS

This study used a descriptive comparison design. One hundred and seventy-six undergraduate nursing students in South Korea participated. Participants were asked to complete the eHealth Literacy Scale. Collected data were analyzed using a descriptive statistical method and t-tests.

RESULTS

Participants responded that the Internet is a useful or very useful tool in helping them make health-related decisions. Furthermore, participants felt that it is important to be able to access health resources on the Internet. The majority of the participants either agreed or strongly agreed that they felt comfortable using the Internet with awareness of what information is available and of their skill to find information. Only a few respondents agreed or strongly agreed that they had the ability to differentiate between a high quality and a low quality health resource on the Internet. Students enrolled in nursing scored higher means in all eHealth literacy items than students enrolled in pre-nursing. Six out of ten eHealth literacy items showed significant differences between two groups.

CONCLUSION

Findings from this study provide fundamental data for education administrators and educators to begin supporting students with appropriate education programs to enhance their eHealth literacy.

The effect of individual factors on health behaviors among college students: the mediating effects of eHealth literacy

BACKGROUND

College students' health behavior is a topic that deserves attention. Individual factors and eHealth literacy may affect an individual's health behaviors. The integrative model of eHealth use (IMeHU) provides a parsimonious account of the connections among the digital divide, health care disparities, and the unequal distribution and use of communication technologies. However, few studies have explored the associations among individual factors, eHealth literacy, and health behaviors, and IMeHU has not been empirically investigated.

OBJECTIVE

This study examines the associations among individual factors, eHealth literacy, and health behaviors using IMeHU.

METHODS

The Health Behavior Scale is a 12-item instrument developed to measure college students' eating, exercise, and sleep behaviors. The eHealth Literacy Scale is a 12-item instrument designed to measure college students' functional, interactive, and critical eHealth literacy. A nationally representative sample of 525 valid college students in Taiwan was surveyed. A questionnaire was administered to collect background information about participants' health status, degree of health concern, major, and the frequency with which they engaged in health-related discussions. This study used Amos 6.0 to conduct a confirmatory factor analysis to identify the best measurement models for the eHealth Literacy Scale and the Health Behavior Scale. We then conducted a multiple regression analysis to examine the associations among individual factors, eHealth literacy, and health behaviors. Additionally, causal steps approach was used to explore indirect (mediating) effects and Sobel tests were used to test the significance of the mediating effects.

RESULTS

The study found that perceptions of better health status (t520=2.14-6.12, P<.001-.03) and greater concern for health (t520=2.58-6.95, P<.001-.003) influenced college students' development of 3 dimensions of eHealth literacy and adoption of healthy eating, exercise, and sleep behaviors. Moreover, eHealth literacy played an intermediary role in the association between individual factors and health behaviors (Sobel test=2.09-2.72, P<.001-.03). Specifically, higher levels of critical eHealth literacy promoted students' health status and their practice of multiple positive health behaviors, including eating, exercise, and sleep behaviors.

CONCLUSIONS

Because this study showed that eHealth literacy mediates the association between individual factors and health behaviors, schools should aim to enhance students' eHealth literacy and promote their health behaviors to help them achieve high levels of critical eHealth literacy. Although some of the study's hypotheses were not supported in this study, the factors that influence health behaviors are complex and interdependent. Therefore, a follow-up study should be conducted to further explore how these factors influence one another.

eHealth literacy interventions for older adults: a systematic review of the literature

Background

eHealth resources offer new opportunities for older adults to access health information online, connect with others with shared health interests, and manage their health. However, older adults often lack sufficient eHealth literacy to maximize their benefit from these resources.

Objective

This review evaluates the research design, methods, and findings of eHealth literacy interventions for older adults.

Methods

A systematic review of peer-reviewed research articles from 28 databases in 9 fields was carried out in January 2013. Four rounds of screening of articles in these databases resulted in a final sample of 23 articles.

Results

Findings indicated a significant gap in the literature for eHealth literacy interventions evaluating health outcomes as the outcome of interest, a lack of theory-based interventions, and few studies applied high-quality research design.

Conclusions

Our findings emphasize the need for researchers to develop and assess theory-based interventions applying high-quality research design in eHealth literacy interventions targeting the older population.

Interventions to assist health consumers to find reliable online health information: a comprehensive review

Background

Health information on the Internet is ubiquitous, and its use by health consumers prevalent. Finding and understanding relevant online health information, and determining content reliability, pose real challenges for many health consumers.

Purpose

To identify the types of interventions that have been implemented to assist health consumers to find reliable online health information, and where possible, describe and compare the types of outcomes studied.

Data Sources

PubMed, PsycINFO, CINAHL Plus and Cochrane Library databases; WorldCat and Scirus ‘gray literature’ search engines; and manual review of reference lists of selected publications.

Study Selection

Publications were selected by firstly screening title, abstract, and then full text.

Data Extraction

Seven publications met the inclusion criteria, and were summarized in a data extraction form. The form incorporated the PICOS (Population Intervention Comparators Outcomes and Study Design) Model. Two eligible gray literature papers were also reported.

Data Synthesis

Relevant data from included studies were tabulated to enable descriptive comparison. A brief critique of each study was included in the tables. This review was unable to follow systematic review methods due to the paucity of research and humanistic interventions reported.

Limitations

While extensive, the gray literature search may have had limited reach in some countries. The paucity of research on this topic limits conclusions that may be drawn.

Conclusions

The few eligible studies predominantly adopted a didactic approach to assisting health consumers, whereby consumers were either taught how to find credible websites, or how to use the Internet. Common types of outcomes studied include knowledge and skills pertaining to Internet use and searching for reliable health information. These outcomes were predominantly self-assessed by participants. There is potential for further research to explore other avenues for assisting health consumers to find reliable online health information, and to assess outcomes via objective measures.

Internet use among older adults: association with health needs, psychological capital, and social capital

BACKGROUND

Previous studies have identified socioeconomic status and health status as predictors of older adults' computer and Internet use, but researchers have not examined the relationships between older adults' health needs and psychological capital (emotional well-being and self-efficacy) and social capital (social integration/ties and support networks) to different types of Internet use.

OBJECTIVE

This study examined (1) whether older adults' health conditions and psychological and social capital differentiate Internet users from nonusers, and (2) whether the Internet users differed in their types of Internet use on the basis of their health conditions and psychological and social capital.

METHODS

Data for this study came from the National Health and Aging Trends Study, which is based on a nationally representative sample of US Medicare beneficiaries aged 65 years and older. The sample for this study were those who resided in the community in their own or others' homes (N=6680). Binary logistic regression analysis was used to compare health needs, psychological capital, and social capital among (1) any type of Internet users and nonusers, (2) Internet users who engaged in health-related tasks and Internet users who did not, (3) Internet users who engaged in shopping/banking tasks and Internet users who did not, and (4) Internet users only used the Internet for email/texting and all other Internet users.

RESULTS

Depressive and anxiety symptoms, measures of psychological capital, were negatively associated with Internet use among older adults (odds ratio [OR] 0.83, 95% CI 0.70-0.98, P=.03 and OR 0.79, 95% CI 0.65-0.97, P=.03, respectively), whereas most measures of social capital were positively associated with Internet use. Having more chronic medical conditions and engaging in formal volunteering increased the odds of Internet use for health-related tasks by 1.15 (95% CI 1.08-1.23, P<.001) and 1.28 (95% CI 1.05-1.57, P=.02), respectively, but anxiety symptoms decreased the odds (OR 0.74, 95% CI 0.55-0.99, P=.05). Religious service attendance was negatively associated with Internet use for shopping/banking activities (OR 0.75, 95% CI 0.62-0.91, P=.01). Anxiety symptoms increased the odds of using the Internet only for emails/texting (OR 1.75, 95% CI 1.12-2.75, P=.02), but formal volunteering decreased the odds (OR 0.63, 95% CI 0.43-0.92, P=.02). Other correlates of Internet use solely for emails/texting were older age (80-84 years and ≥85 years), a black or "other" racial/ethnic background, a high school education or less than high school, and lower income.

CONCLUSIONS

The findings point to the importance of social capital in facilitating older adults' learning and adoption of Internet technology. Older adults who used the Internet for email/texting purposes only were the most socially and economically disadvantaged group of Internet users. Computer/Internet training for older adults and computer/Internet use for various purposes need to consider the significant role their social capital can play.

The digital divide among low-income homebound older adults: Internet use patterns, eHealth literacy, and attitudes toward computer/Internet use

Background

Internet technology can provide a diverse array of online resources for low-income disabled and homebound older adults to manage their health and mental health problems and maintain social connections. Despite many previous studies of older adults’ Internet use, none focused on these most vulnerable older adults.

Objective

This study examined Internet use patterns, reasons for discontinued use, eHealth literacy, and attitudes toward computer/Internet use among low-income homebound individuals aged 60 and older in comparison to their younger counterparts—homebound adults under age 60.

Methods

Face-to-face or telephone surveys were conducted with 980 recipients of home-delivered meals in central Texas (78% were age 60 years and older and 22% under age 60). The eHealth Literacy Scale (eHEALS) and the efficacy and interest subscales of the Attitudes Toward Computer/Internet Questionnaire (ATC/IQ) were used to measure the respective constructs. Age groups were compared with chi-square tests and t tests. Correlates of Internet use were analyzed with multinomial logistic regression, and correlates of eHEALS and ATC/IQ scores were analyzed with OLS regression models.

Results

Only 34% of the under-60 group and 17% of the 60 years and older group currently used the Internet, and 35% and 16% of the respective group members reported discontinuing Internet use due to cost and disability. In addition to being older, never users were more likely to be black (OR 4.41; 95% CI 2.82-6.91, P<.001) or Hispanic (OR 4.69; 95% CI 2.61-8.44, P<.001), and to have lower incomes (OR 0.36; 95% CI 0.27-0.49, P<.001). Discontinued users were also more likely to be black or Hispanic and to have lower incomes. Among both age groups, approximately three-fourths of the current users used the Internet every day or every few days, and their eHEALS scores were negatively associated with age and positively associated with frequency of use. Among the 60 and older group, a depression diagnosis was also negatively associated with eHEALS scores. ATC/IQ efficacy among never users of all ages and among older adults was positively associated with living alone, income, and the number of medical conditions and inversely associated with age, Hispanic ethnicity, and Spanish as the primary language. Although ATC/IQ interest among older adults was also inversely associated with age, it was not associated with Hispanic ethnicity and Spanish as the primary language.

Conclusions

This study is the first to describe in detail low-income disabled and homebound adults’ and older adults’ Internet use. It shows very low rates of Internet use compared to the US population, either due to lack of exposure to computer/Internet technology; lack of financial resources to obtain computers and technology; or medical conditions, disabilities, and associated pain that restrict use. Recommendations to reduce the digital divide among these individuals are provided.