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

Main, Atami Sagna De; Xie, Bin; Yeh, Tom; Davis, Nathan; Han, Xu

doi:10.1177/07334648221088281

Cited by 22 publications

(18 citation statements)

References 44 publications

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“…Effect sizes ranged from 0.167 to 0.676, suggesting that the magnitude of improvement was large for all 5 outcomes (according to the general guidelines used to interpret values for effect sizes: 0.01=small effect size, 0.06=medium effect size, and ≥0.14=large effect size) [50]. These results align with previous eHiLL studies, which included 3 of the same outcome variables (computer and web knowledge, computer and web skills, and eHealth literacy) also with large effect sizes [20,21,33,34]. The consistently large effects of the intervention in different populations and contexts highlight the potential generalizability of the intervention to improve older adults' eHealth literacy.…”

Section: Overall Impact Of the Ehealth Interventionsupporting

confidence: 83%

“…This study is part of the eHiLL research program, which aims to generate scientific knowledge of optimal learning conditions and strategies that can effectively and efficiently improve older adults' learning and use of eHealth applications [20,31,[33][34][35]. Each eHiLL study builds on previous work to examine the effects of various learning conditions and strategies through the testing of hypotheses in rigorous theory-driven interventions.…”

Section: Lifelong Learningmentioning

confidence: 99%

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

2023

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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.

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Section: Overall Impact Of the Ehealth Interventionsupporting

confidence: 83%

Section: Lifelong Learningmentioning

confidence: 99%

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

2023

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“…Presumably, this is caused by the fact that computers and the Internet were not a part of their childhood and early adult development ( Poynton, 2005 ). To assist older adults with low computer literacy, instructional videos and, if possible, human support (i.e., blended approach) are recommended ( de Main et al, 2022 ; van Middelaar et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Older Adults’ User Engagement With Mobile Health: A Systematic Review of Qualitative and Mixed-Methods Studies

Acker

Maenhout

Compernolle

2023

Innovation in Aging

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Background and Objectives The ageing population places increasing demands on our health care system. Mobile health offers potential to reduce this burden. The aim of this systematic review is to thematically synthesize qualitative evidence of older adults’ user engagement towards mobile health, and to generate relevant recommendations for intervention developers. Research Design and Methods A systematic literature search was performed in Medline, Embase, and Web of Science electronic databases from inception until February 2021. Papers on qualitative and mixed method studies that investigated older adults’ user engagement with a mobile health intervention were included. Relevant data were extracted and analyzed using thematic analysis. The Critical Appraisal Skills Programme Qualitative Checklist was used to assess the quality of the included studies. Results Thirty-two articles were deemed eligible for inclusion in the review. Three overarching analytical themes emerged from the twenty-five descriptive themes generated by the line-by-line coding: the limited capabilities, the prerequisite of motivation, and the importance of social support. Discussion and Implications Successful development and implementation of future mobile health intervention for older adults will be challenging given the physical and psychological limitations and motivational barriers that older adults experience. Design adaptations and well-thought-out blended alternatives (i.e. combining mobile health with face-to-face support) might be potential solutions to improve older adults’ user engagement with mobile health interventions.

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“…Therefore, it is important to improve the strategy for increasing eHealth literacy among internet users with cancer. Although a recent prior study reported effective eHealth literacy interventions for older adults using both text and pictures, such as illustrations and animation [36], only few studies have examined the effect of eHealth literacy interventions while adjusting for confounders such as education level. Therefore, it is necessary to examine the effect of eHealth literacy interventions while considering the influence of confounders.…”

Section: Principal Findingsmentioning

confidence: 99%

Chronic Diseases and Sociodemographic Characteristics Associated With Online Health Information Seeking and Using Social Networking Sites: Nationally Representative Cross-sectional Survey in Japan

Mitsutake¹,

Takahashi²,

Otsuki³

et al. 2023

J Med Internet Res

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Background In an aging society, worsening chronic diseases increase the burden on patients and the health care system. Using online health information including health information via social networking sites (SNSs), such as Facebook and YouTube, may play an important role in the self-management of chronic diseases and health promotion for internet users. Objective This study aims to improve strategies for promoting access to reliable information for the self-management of chronic diseases via the internet, and to identify populations facing barriers to using the internet for health, we examined chronic diseases and characteristics associated with online health information seeking and the use of SNSs. Methods This study used data from the INFORM Study 2020, which was a nationally representative cross-sectional postal mail survey conducted using a self-administered questionnaire in 2020. The dependent variables were online health information seeking and SNS use. Online health information seeking was assessed using 1 question about whether respondents used the internet to find health or medical information. SNS use was assessed by inquiring about the following 4 aspects: visiting SNSs, sharing health information on SNSs, writing in an online diary or blog, and watching a health-related video on YouTube. The independent variables were 8 chronic diseases. Other independent variables were sex, age, education status, work, marital status, household income, health literacy, and self-reported health status. We conducted a multivariable logistic regression model adjusted for all independent variables to examine the associations of chronic diseases and other variables with online health information seeking and SNS use. Results The final sample for analysis comprised 2481 internet users. Hypertension or high blood pressure, chronic lung diseases, depression or anxiety disorder, and cancer were reported by 24.5%, 10.1%, 7.7%, and 7.2% of respondents, respectively. The odds ratio of online health information seeking among respondents with cancer was 2.19 (95% CI 1.47-3.27) compared with that among those without cancer, and the odds ratio among those with depression or anxiety disorder was 2.27 (95% CI 1.46-3.53) compared with that among those without. Further, the odds ratio for watching a health-related YouTube video among those with chronic lung diseases was 1.42 (95% CI 1.05-1.93) compared with that among those without these diseases. Women, younger age, higher level of education, and high health literacy were positively associated with online health information seeking and SNS use. Conclusions For patients with cancer, strategies for promoting access to websites with reliable cancer-related information as well as access among patients with chronic lung diseases to YouTube videos providing reliable information may be beneficial for the management of these diseases. Moreover, it is important to improve the online environment to encourage men, older adults, internet users with lower education levels, and those with low health literacy to access online health information.

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

Cited by 22 publications

References 44 publications

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

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

Older Adults’ User Engagement With Mobile Health: A Systematic Review of Qualitative and Mixed-Methods Studies

Chronic Diseases and Sociodemographic Characteristics Associated With Online Health Information Seeking and Using Social Networking Sites: Nationally Representative Cross-sectional Survey in Japan

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