eHealth and Health Literacy: A Research Methodology Review

Mackert, Michael; Champlin, Sara; Holton, Avery E.; Muñoz, Isaac I.; Damásio, Manuel José

doi:10.1111/jcc4.12044

Cited by 75 publications

(57 citation statements)

References 22 publications

(20 reference statements)

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“…[37] Another study also showed that older adults were less likely than younger adults to value the importance of Patient Health Records (PHRs). [31] There might be several reasons behind these findings including: a) greater ease of use and comfort with technology among younger adults, [38] b) poor usability, availability, and accessibility of HIT functions tailored to the elderly, [39][40][41] c) lower health literacy in the elderly, [42,43] d) lower educational attainment and income in the elderly, [3,44] and e) unique challenges from having chronic diseases that are more prevalent in the elderly that impede use of technology (e.g. arthritis, vision impairment etc.).…”

Section: Discussionmentioning

confidence: 99%

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey (Preprint)

Asan¹,

Cooper²,

Nagavally³

et al. 2017

Preprint

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Background: Emerging health technologies are increasingly being used in health care for communication, data collection, patient monitoring, education, and to facilitate adherence to chronic disease management. However, there is also lack of studies on differences in preference for using information exchange technologies between chronic and non-chronic disease patients and factors affecting these differences. Objective: The purpose of this paper is to understand preferences and interests in use of technology for information exchange among a nationally representative sample of adults with and without chronic disease conditions and to assess whether these preferences differ according to varying demographic variables. Methods: We utilized data from the 2021 and 2014 iteration of the Health Information National Trends Study (HINTS, N=7307). We modeled negative responses using multiple logistic regressions adjusting for relevant covariates to identify independent factors associated with lowers odds of using health information technology, and therefore identify targets for awareness. Analyses were weighted for the US population and adjusted for the sociodemographic variables of age, gender, race and US census region. Results: Analysis included 7,307 participants (weighted population 230,993,888) and 3,529 participants of this sample (weighted population of 90,748,995) reported CVD, diabetes, or hypertension. In the unadjusted models, individuals with Diabetes/CVD/Hypertension were more likely to report using email to exchange medical information with their provider (Odds Ratio [OR] 1.431; 95% Confidence Interval [95% CI] 1.113, 1.838) and less likely to not use any of the technology in health information exchange (OR 0.778; 95% CI 0.618, 0.979). In unadjusted model, additional significant odds ratio values are observed. However, after adjustment, all relationships regarding use and interest in exchanging information with the provider were no longer significant. As a next step, we looked at adjusted odds ratios for demographic variables. Individuals above 65 years old (OR 2.32; 95% CI 1.55, 3.49) and Hispanics (OR 1.95; 95% CI 1.26, 3.01) were less likely to report using email to exchange medical information with their provider. Minorities were less likely to indicate they had no interest in exchanging general health tips with a provider electronically ((Hispanics OR 0.55; 95% CI 0.34, 0.88), 95% CI 0.23, 0.56), (Asians OR 0.33; )).Conclusions: Health information technology related interventions; particularly design of m-health technologies should focus more on demographic factors including race, age and region than chronic disease status to increase likelihood of use. Future research is needed to understand and explore more patient friendly use and design of m-health applications which can be utilized by variety of age, race or education/ health literacy groups efficiently to further bridge the gap in communication between patients and their provider.

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Section: Discussionmentioning

confidence: 99%

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey (Preprint)

Asan¹,

Cooper²,

Nagavally³

et al. 2017

Preprint

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“…External links to reputable healthcare websites were recommended as well as the option to view videos about the topic within the application. Portugal (2005Portugal ( /2013 Given the commonly cited barriers of an unclear role, time, and financial burden, the potential of e-health to reach men, bridge the mentioned gap, and motivate them to be more involved in prenatal health is promising (Mackert et al, 2014). E-health can educate difficult-toreach audiences, such as men, and to tailor information in ways that could resonate better than existing programs designed predominantly for women.…”

Section: There Is Also a Vision Somehow Ideologically And Culturally mentioning

confidence: 99%

“…Additional perceived barriers for men being involved in prenatal health include having to work (no time) and the expense of classes or programs (Mackert et al, 2014;Widarsson et al, 2012).…”

Section: Background and Significancementioning

confidence: 99%

“…Interviews and surveys were conducted in Portuguese and audio recorded (transcripts available online). The overall study procedure was modelled on previous research studying the use of technology to engage hard to reach populations (Mackert et al, 2017;Mackert, Champlin, Holton, Muñoz, & Damásio, 2014;Shefner-Rogers & Sood, 2004).…”

Section: Study Procedures and Data Analysismentioning

confidence: 99%

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Improving Prenatal Health Communication: Engaging Men via E-Health

Damásio¹,

Catarino²,

Ferreira³

2017

Pijss

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“…These mechanisms have been suggested in the literature (Meppelink, Smit, Buurman, & Van Weert, 2015;Von Wagner, Semmler, Good, & Wardle, 2009;Wilson & Wolf, 2009) but have not, to our knowledge, been tested empirically or in combination. Through this testing, our article responds to the call for theory-driven studies on health literacy and e-health (Mackert, Champlin, Holton, Muñoz, & Damásio, 2014) and adds to the body of European health literacy studies, which is currently limited (Barry, D'Eath, & Sixsmith, 2013).…”

mentioning

confidence: 99%

Health Literacy and Online Health Information Processing: Unraveling the Underlying Mechanisms

Meppelink

Smit

Diviani

et al. 2016

Journal of Health Communication

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Health literacy and online health information processing: Unraveling the underlying mechanisms Meppelink, C.S.; Smit, E.G.; Diviani, N.; van Weert, J.C.M. General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. The usefulness of the Internet as a health information source largely depends on the receiver's health literacy. This study investigates the mechanisms through which health literacy affects information recall and website attitudes. Using 2 independent surveys addressing different Dutch health websites (N = 423 and N = 395), we tested the mediating role of cognitive load, imagination ease, and website involvement. The results showed that the influence of health literacy on information recall and website attitudes was mediated by cognitive load and imagination ease but only marginally by website involvement. Thus, to improve recall and attitudes among people with lower health literacy, online health communication should consist of information that is not cognitively demanding and that is easy to imagine.The Internet is a powerful source of information that makes an unlimited amount of information available to everyone. In the United States 84% of adults use the Internet (Perrin & Duggan, 2015), and in The Netherlands 97% of the adult population has Internet access (Statistics Netherlands, 2014). Moreover, more than two thirds of the U.S. adult population currently owns a smartphone (Smith, 2015). Because nearly anything can be found online, this suggests that access to information no longer divides groups in society. Smartphones in particular are expected to decrease the digital divide created by the Internet, as they offer opportunities to reach population groups that were difficult to reach before (Fiordelli, Diviani, & Schulz, 2013). Equal physical access to the Internet, however, does not necessarily correspond to an equal ability to understand and use online information. For some population groups, finding, evaluating, and understanding information is more difficult than it is for others.Information is a valuable asset in many domains, including health. The extent to which people are able to benefit from online information largely depends on their level of health literacy, defined as the "ability to obtain, process, understand, and communicate about health-rel...

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eHealth and Health Literacy: A Research Methodology Review

Cited by 75 publications

References 22 publications

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey (Preprint)

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey (Preprint)

Improving Prenatal Health Communication: Engaging Men via E-Health

Health Literacy and Online Health Information Processing: Unraveling the Underlying Mechanisms

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