Assets, Challenges, and the Potential of Technology for Nutrition Education in Rural Communities

Desmond, Sharon M.; Saperstein, Sandra L.; Billing, Amy; Gold, Robert S.; Tournas-Hardt, Amy

doi:10.1016/j.jneb.2009.09.004

Cited by 22 publications

(18 citation statements)

References 15 publications

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“…This is congruent with the finding of Atkinson et al 11 that in rural counties of Maryland, public community centers were utilized for computer access to health technology. In fact, the data suggest that participants were exposed to technology or had access to technology even if they did not own a cellular phone or a computer.…”

Section: Discussionsupporting

confidence: 90%

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Use of Computer and Cellular Phone Technology by Older Rural Adults

O’Brien

Treiber

Jenkins³

et al. 2014

CIN: Computers, Informatics, Nursing

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The objective of this study was to explore the use of computer and cellular phone technology among older adults living in the rural Appalachian region of North Carolina. A 21-item questionnaire on access to and use of computer and cellular phone technology was administered to 43 older adults, using dichotomous and frequency-rated questions. The sample was recruited from two rural senior centers in the Appalachian region of North Carolina. Forty percent of the participants earned $20 000 or less annually. The majority owned a cellular phone (79.9%), and nearly half had a desktop computer (44.2%). High-speed Internet coverage was the most frequent type (42%) of in-home coverage. This study provides insights into the needs and challenges of older rural Appalachians with regard to technology. Computer technology may be more accessible and have fewer barriers by older adults than other forms of technology. Future research should explore the levels of computer literacy of older adults.

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Section: Discussionsupporting

confidence: 90%

“…1,5,7,11,16,17 Research Implications Moreover, we did not assess cognition; cognitive deficits may have contributed to incomplete forms and the inability to utilize cellular phones and computers.…”

Section: Limitationsmentioning

confidence: 99%

Use of Computer and Cellular Phone Technology by Older Rural Adults

O’Brien

Treiber

Jenkins³

et al. 2014

CIN: Computers, Informatics, Nursing

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“…It appears that it is necessary to ensure that the future user has the knowledge required for an optimal utilization of the tool on offer. Thus, training and technical assistance are crucial, according to the authors [39,47,57,58,64,65]. In that regard, it is possible to create a support network to bolster users’ skills.…”

Section: Resultsmentioning

confidence: 99%

Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies

2017

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BackgroundeHealth is developing rapidly and brings with it a promise to reduce social health inequalities (SHIs). Yet, it appears that it also has the potential to increase them.ObjectivesThe general objective of this review was to set out how to ensure that eHealth contributes to reducing SHIs rather than exacerbating them. This review has three objectives: (1) identifying characteristics of people at risk of experiencing social inequality in health; (2) determining the possibilities of developing eHealth tools that avoid increasing SHI; and (3) modeling the process of using an eHealth tool by people vulnerable to SHI.MethodsFollowing the EPPI approach (Evidence for Policy and Practice of Information of the Institute of Education at the University of London), two databases were searched for the terms SHIs and eHealth and their derivatives in titles and abstracts. Qualitative, quantitative, and mixed articles were included and evaluated. The software NVivo (QSR International) was employed to extract the data and allow for a metasynthesis of the data.ResultsOf the 73 articles retained, 10 were theoretical, 7 were from reviews, and 56 were based on empirical studies. Of the latter, 40 used a quantitative approach, 8 used a qualitative approach, 4 used mixed methods approach, and only 4 were based on participatory research-action approach. The digital divide in eHealth is a serious barrier and contributes greatly to SHI. Ethnicity and low income are the most commonly used characteristics to identify people at risk of SHI. The most promising actions for reducing SHI via eHealth are to aim for universal access to the tool of eHealth, become aware of users’ literacy level, create eHealth tools that respect the cultural attributes of future users, and encourage the participation of people at risk of SHI.ConclusionseHealth has the potential to widen the gulf between those at risk of SHI and the rest of the population. The widespread expansion of eHealth technologies calls for rigorous consideration of interventions, which are not likely to exacerbate SHI.

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“…35,36 College students' nutritional behaviors are poor with only 5% of this population meeting the recommendation of 5 servings of fruit and vegetables each day. 37 With this technology savvy age group, one might make a potential impact with nutritional technology.…”

Section: Nutritionmentioning

confidence: 99%