Factors affecting information and communication technology use and eHealth literacy among older adults in the US and South Korea

Lee, Othelia Eun Kyoung; Kim, Do Hong; Beum, Kyung Ah

doi:10.1080/03601277.2020.1790162

Cited by 24 publications

(25 citation statements)

References 25 publications

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“…The findings described here seem to be in agreement with the observations of Lee et al [94]. They did not find a statistically significant relationship between eHL and the level of anxiety, neither among older persons from the USA nor from South Korea [94]. It should be added that an earlier study performed in a representative sample of the Polish population suggested that attitudes to key public health interventions were related to the level of HL but not eHL (measured with Pl-eHEALS) [95].…”

Section: Discussionsupporting

confidence: 94%

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The Association between Future Anxiety, Health Literacy and the Perception of the COVID-19 Pandemic: A Cross-Sectional Study

Duplaga

Grysztar

2021

Healthcare

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Increased anxiety related to the Coronavirus Disease 2019 (COVID-19) pandemic in society and specific professional groups has been reported by many authors. Most have applied tools enabling assessing the general traits of anxiety. Tools specifically designed for an assessment of anxiety or fear related to COVID-19 have also been developed. However, no study has assessed the future anxiety in relation to the pandemic. This concept was defined by Zaleski in the end of the 20th century as the state of apprehension, fear, worry, and concern regarding unfavourable changes in the more remote personal future. The aim of this study was an analysis to establish the level and the determinants of future anxiety in Polish society related to the COVID-19 pandemic three months after the introduction of the state of epidemic. The analysis reported in the paper is based on the data obtained through a web-based survey carried out on a representative sample of 1002 Polish adults aged 18–74 years. The hierarchical linear regression model was developed for the analysis of the determinants of future anxiety from the responses to a questionnaire consisting of five items. The independent variables selected for inclusion in the model, apart from sociodemographic characteristics, encompassed health literacy (HL) and ehealth literacy (eHL), perceived health threat related to COVID-19 (PHTC19), and a COVID-19-related conspiracy belief score (CCBS) derived from three items asking about the most popular conspiracy theories. The regression model developed in the final step showed that the future anxiety scale score (FASS) was significantly associated with gender, vocational status, HL, PHTC19, and CCBS. The FASS was lower among men than women (regression coefficient (B) (standard error, SE) = −1.28 (0.39), p = 0.001), among entrepreneurs or farmers rather than among employees of the public or private sector (B(SE) = −1.55, p = 0.010), in persons with a higher HL (B(SE) = −0.43 (0.06), p < 0.001). A higher FASS was observed in respondents with higher rather than lower PHTC19 (B(SE) = 1.49 (0.17), p < 0.001) and in those with a higher CCBS (B(SE) = 0.33 (0.07), p < 0.001). The model accounted for 15.2% of the variance of the FASS. In conclusion, the COVID-19 pandemic is not only a cause of increased mental symptoms, but also of increased future anxiety. Health-related measures are significantly associated with the FASS.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionsupporting

confidence: 93%

The Association between Future Anxiety, Health Literacy and the Perception of the COVID-19 Pandemic: A Cross-Sectional Study

Duplaga

Grysztar

2021

Healthcare

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“…A wide range of techniques were used to elicit information about digital health literacy. Most studies used surveys [14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49] administered as online questionnaires [24,26,29,41,43,45,47], paper questionnaires [16,17,26,38,39,40,41,50,…”

Section: Techniques Used To Elicit Information From Adultsmentioning

confidence: 99%

Available tools to evaluate digital health literacy and engagement with eHealth resources: A scoping review

Faux-Nightingale

Philp

Chadwick

et al. 2022

Heliyon

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“…For example, a study conducted in the USA for general adults has shown that eHealth literacy is an important factor to get valid and right health information against COVID-19 (An et al, 2021). Since COVID-19 is a serious disease particularly for older adults, the studies suggest that eHealth literacy has a critical role for older adults to access the health information sources (Lee et al, 2020;Xie et al, 2020). For example, older adults who have cardiac diseases should be protected against the digital divide in terms of eHealth literacy to have better opportunities for health information (Astley et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…, 2021). Since COVID-19 is a serious disease particularly for older adults, the studies suggest that eHealth literacy has a critical role for older adults to access the health information sources (Lee et al. , 2020; Xie et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Role of factors in eHealth literacy in period of COVID-19: a study of Turkey

Yuce

Albayrak

Baran

et al. 2021

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PurposeThis study aims to understand the eHealth literacy skills of chronic patients and to explore the relations, patterns between eHealth literacy skills and different factors such as demographics, search strategies and health information sources and to explain their effects on eHealth literacy in Turkey in Izmir in COVID-19 outbreak.Design/methodology/approachA quantitative method was used in the study including a questionnaire. A total of 604 chronic patients responded to the questionnaire who applied the five popularly identified hospitals in Izmir in Turkey. CHAID analysis method was implemented to explore the strongest correlation between eHealth literacy and independent variables.FindingsUsing different social media types were correlated with patients’ eHealth literacy scores. Using Facebook, Twitter were the supportive predictors for the eHealth literacy scores. However, digital literacy was highly important for eHealth literacy.Originality/valueThis study shows that the social media channels which provides much more information such as Facebook and Twitter for the chronic patient. This could be beneficial for the eHealth tools and social media content developers in terms of the supply of health information. Moreover, the study gives ideas about the effect of digital literacy and the importance of health information provided.

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Factors affecting information and communication technology use and eHealth literacy among older adults in the US and South Korea

Cited by 24 publications

References 25 publications

The Association between Future Anxiety, Health Literacy and the Perception of the COVID-19 Pandemic: A Cross-Sectional Study

The Association between Future Anxiety, Health Literacy and the Perception of the COVID-19 Pandemic: A Cross-Sectional Study

Available tools to evaluate digital health literacy and engagement with eHealth resources: A scoping review

Role of factors in eHealth literacy in period of COVID-19: a study of Turkey

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