Has the Digital Health Divide Widened? Trends of Health-Related Internet Use Among Older Adults From 2003 to 2011

Hong, Ying; Cho, Jinmyoung

doi:10.1093/geronb/gbw100

Cited by 124 publications

(158 citation statements)

References 25 publications

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“…This effect was also visible for the transition into retirement and no employment: those who had retired or became not employed were more often not recently using the internet than those who had not. These results are in line with previous findings, which have shown that financial resources are important for internet access among older adults (Korupp and Szydlik, 2005;Hong and Cho, 2017;Yoon et al, 2020). H3, which focuses on possible changes in health status, was based on previous results that have shown that health can be a relevant factor in internet use (Choi and DiNitto, 2013;König et al, 2018).…”

Section: Discussionsupporting

confidence: 91%

From Online to Offline and Vice Versa: Change in Internet Use in Later Life Across Europe

König

Seifert

2020

Front. Sociol.

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The internet can be a valuable source of social participation in modern society. Although increasing numbers of older adults are using the internet, numerous older adults also cease using the internet and become "offliners." The question of which factors in usage change (i.e., switching from onliner to offliner, and vice versa) are most influential remains unclear. This study investigates changes in internet use among the older European population using two waves of representative panel data for 13 countries from the Survey of Health, Aging and Retirement in Europe (SHARE). The analyses were based on 34,149 respondents aged 50 years and older. In general, the results indicate a positive trend by a slight (2%) increase in usage, from 51% in 2013 to 53% in 2015. However, the results also show that a total of 6% had not recently used the internet, although they had done so in the past. Our multilevel results suggest that both the onset of and cessation of internet usage are primarily driven by changes in socioeconomic resources (income and occupation), health resources (subjective health and grip strength), living situation (via relocation), and social factors (partnership and distance to children) as well as contextual factors such as country-specific wealth and social indexes and internet infrastructure. The study underlines the importance of investigating the influencing factors for commencing internet usage and of determining which factors lead to its increase.

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Section: Discussionsupporting

confidence: 91%

From Online to Offline and Vice Versa: Change in Internet Use in Later Life Across Europe

König

Seifert

2020

Front. Sociol.

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“…They also had lower level of health literacy, patient activation, and emotional well‐being, suggesting significant health disparities. Literature has documented the reciprocal relationship of digital divide and health disparities . Health literacy is critical for patients to navigate the health care system, especially in the eHealth era.…”

Section: Discussionmentioning

confidence: 99%

“…Literature has documented the reciprocal relationship of digital divide and health disparities. 33 Health literacy is critical for patients to navigate the health care system, especially in the eHealth era. Also, technological literacy has a significant effect on whether an eHealth application would be used when made accessible.…”

Section: Discussionmentioning

confidence: 99%

Mobile‐based patient‐provider communication in cancer survivors: The roles of health literacy and patient activation

Jiang

Hong

2017

Psycho-Oncology

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MBPPC alone does not directly result in better emotional health outcomes; health literacy is the key to realize its health benefits; patient activation significantly strengthens the effects of MBPPC. As we embrace the mHealth movement, innovative programs are needed to promote MBPPC, and improve health literacy and activation of cancer survivors, particularly in underserved communities, to reduce health disparities.

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“…For example, using competitive gaming features may raise the potential for personal data breaches. It is also important to note the digital divide that currently exists between racial/ethnic groups, rural/urban residence, age, and income, all of which are limitations to mHealth apps (Hong and Jinmyoung 2017). Research has shown that individuals most likely to have mHealth apps are better educated, have health insurance, and are confident in their abilities to care for themselves.…”

Section: Discussionmentioning

confidence: 99%

REMIT: Development of a mHealth theory-based intervention to decrease heavy episodic drinking among college students

Kazemi

Borsari

Levine

et al. 2017

Addiction Research & Theory

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mHealth apps are an effective means of delivering health interventions, and the college-age population is particularly proficient at using apps. Informed by current theories of Ecological Momentary Interventions (EMI), Motivational Interviewing (MI), and the Transtheoretical Model (TTM) of Change, investigators have developed a self-monitoring app-Reductions through Ecological Momentary/ Motivational Intervention/Transtheoretical (REMIT)-with the aim of reducing hazardous drinking among college students. The app was developed using the Integrate, Design, Assess, and Share (IDEAS) framework. This step-by-step process for developing digital behavior change interventions was conducted in five phases to: (1) understand the users, (2) determine target behavior, (3) base the intervention in behavioral theory; (4) create delivery strategies, and (5) develop the REMIT prototype. REMIT uses assessments (informed by EMI) and components of MI and TTM to guide administration of nine modules designed to engage users in reducing alcohol use and related problems. REMIT users self-monitor their alcohol consumption and develop strategies to change drinking behaviors using a range of easyto-use features, such as the Virtual Coach, automated text messages, interactive gaming mechanisms (gamification), drink consumption tracking, and Blood Alcohol Concentration (BAC) calculators. mHealth interventions have been shown to reduce alcohol use among college students when they are applied in real-life, real-time contexts. REMIT is a theory-based app that incorporates user-friendly features to reduce hazardous drinking among college students. The next step is to conduct a pilot trial to test the efficacy of the app and enhance the REMIT prototype.ARTICLE HISTORY

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Has the Digital Health Divide Widened? Trends of Health-Related Internet Use Among Older Adults From 2003 to 2011

Cited by 124 publications

References 25 publications

From Online to Offline and Vice Versa: Change in Internet Use in Later Life Across Europe

From Online to Offline and Vice Versa: Change in Internet Use in Later Life Across Europe

Mobile‐based patient‐provider communication in cancer survivors: The roles of health literacy and patient activation

REMIT: Development of a mHealth theory-based intervention to decrease heavy episodic drinking among college students

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