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Evaluating the prevalence and opportunity for technology use in chronic kidney disease patients: a cross-sectional study

Overview of attention for article published in BMC Nephrology, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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12 X users

Citations

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39 Dimensions

Readers on

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202 Mendeley
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Title
Evaluating the prevalence and opportunity for technology use in chronic kidney disease patients: a cross-sectional study
Published in
BMC Nephrology, February 2018
DOI 10.1186/s12882-018-0830-8
Pubmed ID
Authors

Ann Bonner, Kerri Gillespie, Katrina L. Campbell, Katina Corones-Watkins, Bronwyn Hayes, Barbara Harvie, Jaimon T. Kelly, Kathryn Havas

Abstract

Chronic kidney disease (CKD) is increasing worldwide and early education to improve adherence to self-management is a key strategy to slow CKD progression. The use of the internet and mobile phone technologies (mHealth) to support patients is considered an effective tool in many other chronic disease populations. While a number of mHealth platforms for CKD exist, few studies have investigated if and how this population use technology to engage in self-management. Using a cross-sectional design across five health districts in Queensland (Australia), a 38-item self-report survey was distributed to adults with CKD attending outpatient clinics or dialysis units to measure current use and type of engagement with mHealth, perceived barriers to use, and opportunities to support CKD self-management. Odds ratio (OR) were calculated to identify associations between demographic characteristic and mHealth use. Of the 708 participants surveyed, the majority had computer access (89.2%) and owned a mobile phone (83.5%). The most likely users of the internet were those aged ≤ 60 years (OR: 7.35, 95% confidence interval [CI]: 4.25-12.75, p < 0.001), employed (OR: 7.67, 95% CI: 2.58-22.78, p < 0.001), from non-indigenous background (OR: 6.98, 95% CI: 3.50-13.93, p < 0.001), or having completed higher levels of education (OR: 3.69, CI: 2.38-5.73, p < 0.001). Those using a mobile phone for complex communication were also younger (OR: 6.01, 95% CI: 3.55-10.19, p < 0.001), more educated (OR: 1.99, 95% CI: 1.29-3.18, p < 0.01), or from non-indigenous background (OR: 3.22, 95% CI: 1.58-6.55, p < 0.001). Overall, less than 25% were aware of websites to obtain information about renal healthcare. The mHealth technologies most preferred for communication with their renal healthcare teams were by telephone (56.5%), internet (50%), email (48.3%) and text messages (46%). In the CKD cohort, younger patients are more likely than older patients to use mHealth intensively and interactively although all patients' technology literacy ought to be thoroughly assessed by renal teams before implementing in practice. Further research testing mHealth interventions to improve self-management in a range of patient cohorts is warranted.

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The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 202 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 12%
Student > Bachelor 21 10%
Researcher 18 9%
Student > Ph. D. Student 18 9%
Other 13 6%
Other 37 18%
Unknown 70 35%
Readers by discipline Count As %
Nursing and Health Professions 48 24%
Medicine and Dentistry 28 14%
Social Sciences 9 4%
Psychology 9 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 25 12%
Unknown 78 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 October 2020.
All research outputs
#4,145,714
of 23,020,670 outputs
Outputs from BMC Nephrology
#434
of 2,497 outputs
Outputs of similar age
#93,163
of 439,370 outputs
Outputs of similar age from BMC Nephrology
#11
of 50 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,497 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% of its peers.
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 439,370 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.