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Use of electronic dietary assessment tools in primary care: an interdisciplinary perspective

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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7 X users
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1 YouTube creator

Citations

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45 Dimensions

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111 Mendeley
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Title
Use of electronic dietary assessment tools in primary care: an interdisciplinary perspective
Published in
BMC Medical Informatics and Decision Making, February 2015
DOI 10.1186/s12911-015-0138-6
Pubmed ID
Authors

Carolina Bonilla, Paula Brauer, Dawna Royall, Heather Keller, Rhona M Hanning, Alba DiCenso

Abstract

Dietary assessment can be challenging for many reasons, including the wide variety of foods, eating patterns and nutrients to be considered. In team-based primary care practice, various disciplines may be involved in assessing diet. Electronic-based dietary assessment (e-DA) instruments available now through mobile apps or websites can potentially facilitate dietary assessment. Providers views of facilitators and barriers related to e-DA instruments and their recommendations for improvement can inform the further development of these tools. The objective of this study was to explore provider perspectives on e-DA tools in mobile apps and websites. The exploratory sequential mixed methods design included interdisciplinary focus groups followed by a web-based survey sent to Family Health Teams throughout Ontario, Canada. Descriptive and bivariate analyses were completed. Focus group transcripts contributed to web-survey content, while interpretive themes added depth and context. 11 focus groups with 50 providers revealed varying perspectives on the use of e-DA for: 1) improving patients' eating habits; 2) improving the quality of dietary assessment; and, 3) integrating e-DA into the care process. In the web-survey 191 respondents from nine disciplines in 73 FHTs completed the survey. Dietitians reported greater use of e-DA than other providers (63% vs.19%; p = .000) respectively. There was strong interest among disciplines in the use of e-DA tools for the management of obesity, diabetes and heart disease, especially for patient self-monitoring. Barriers identified were: patients' lack of comfort with using technology, misinterpretation of e-DA results by patients, time and education for providers to interpret results, and time for providers to offer counselling. e-DA tools in mobile apps and websites may improve dietary counselling over time. Addressing the identified facilitators and barriers can potentially promote the uptake of e-DA into clinical practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 19%
Student > Ph. D. Student 15 14%
Student > Bachelor 12 11%
Researcher 9 8%
Student > Doctoral Student 5 5%
Other 17 15%
Unknown 32 29%
Readers by discipline Count As %
Medicine and Dentistry 27 24%
Nursing and Health Professions 12 11%
Computer Science 7 6%
Social Sciences 6 5%
Psychology 5 5%
Other 16 14%
Unknown 38 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 December 2020.
All research outputs
#6,365,795
of 22,793,427 outputs
Outputs from BMC Medical Informatics and Decision Making
#602
of 1,987 outputs
Outputs of similar age
#72,556
of 255,481 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 26 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,987 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 69% 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 255,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.