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Older adults’ readiness to engage with eHealth patient education and self-care resources: a cross-sectional survey

Overview of attention for article published in BMC Health Services Research, March 2018
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Mentioned by

twitter
4 tweeters

Citations

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88 Dimensions

Readers on

mendeley
215 Mendeley
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Title
Older adults’ readiness to engage with eHealth patient education and self-care resources: a cross-sectional survey
Published in
BMC Health Services Research, March 2018
DOI 10.1186/s12913-018-2986-0
Pubmed ID
Authors

Nancy P. Gordon, Mark C. Hornbrook

Abstract

This study examined access to digital technologies, skills and experience, and preferences for using web-based and other digital technologies to obtain health information and advice among older adults in a large health plan. A primary aim was to assess the extent to which digital divides by race/ethnicity and age group might affect the ability of a large percentage of seniors, and especially those in vulnerable groups, to engage with online health information and advice modalities (eHIA) and mobile health (mHealth) monitoring tools. A mailed survey was conducted with age-sex stratified random samples of English-speaking non-Hispanic white, African-American/black (black), Hispanic/Latino (Latino), Filipino-American (Filipino), and Chinese-American (Chinese) Kaiser Permanente Northern California members who were aged 65-79 years. Respondent data were weighted to the study population for the cross-sectional analyses. Older seniors and black, Latino, and Filipino seniors have less access to digital tools, less experience performing a variety of online tasks, and are less likely to believe that they would be capable of going online for health information and advice compared to younger and white Non-Hispanic seniors. Consequently, they are also less likely to be interested in using eHIA modalities. The same subgroups of seniors that have previously been shown to have higher prevalence of chronic conditions and greater difficulties with healthcare access are also less likely to adopt use of eHIA and mHealth monitoring technologies. At the patient population level, this digital divide is important to take into account when planning health information and chronic disease management programs. At the individual patient level, to provide good patient-centered care, it is important for providers to assess rather than assume digital access, eHealth skills, and preferences prior to recommending use of web-based resources and mHealth tools.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 215 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 32 15%
Student > Ph. D. Student 25 12%
Student > Master 20 9%
Researcher 18 8%
Student > Doctoral Student 14 7%
Other 42 20%
Unknown 64 30%
Readers by discipline Count As %
Nursing and Health Professions 42 20%
Medicine and Dentistry 36 17%
Social Sciences 21 10%
Psychology 9 4%
Agricultural and Biological Sciences 6 3%
Other 29 13%
Unknown 72 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2018.
All research outputs
#7,602,723
of 13,505,974 outputs
Outputs from BMC Health Services Research
#2,751
of 4,529 outputs
Outputs of similar age
#132,675
of 269,773 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 13,505,974 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,529 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,773 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them