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MyPreventiveCare: implementation and dissemination of an interactive preventive health record in three practice-based research networks serving disadvantaged patients—a randomized cluster trial

Overview of attention for article published in Implementation Science, December 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
211 Mendeley
citeulike
2 CiteULike
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Title
MyPreventiveCare: implementation and dissemination of an interactive preventive health record in three practice-based research networks serving disadvantaged patients—a randomized cluster trial
Published in
Implementation Science, December 2014
DOI 10.1186/s13012-014-0181-1
Pubmed ID
Authors

Alex H Krist, Rebecca A Aycock, Rebecca S Etz, Jennifer E Devoe, Roy T Sabo, Robert Williams, Karen L Stein, Gary Iwamoto, Jon Puro, Jon Deshazo, Paulette Lail Kashiri, Jill Arkind, Crystal Romney, Miria Kano, Christine Nelson, Daniel R Longo, Susan Wolver, Steven H Woolf

Abstract

Evidence-based preventive services for early detection of cancer and other health conditions offer profound health benefits, yet Americans receive only half of indicated services. Policy initiatives promote the adoption of information technologies to engage patients in care. We developed a theory-driven interactive preventive health record (IPHR) to engage patients in health promotion. The model defines five levels of functionality: (1) collecting patient information, (2) integrating with electronic health records (EHRs), (3) translating information into lay language, (4) providing individualized, guideline-based clinical recommendations, and (5) facilitating patient action. It is hypothesized that personal health records (PHRs) with these higher levels of functionality will inform and activate patients in ways that simpler PHRs cannot. However, realizing this vision requires both technological advances and effective implementation based upon clinician and practice engagement.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
Argentina 1 <1%
Canada 1 <1%
Switzerland 1 <1%
Unknown 205 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 16%
Student > Ph. D. Student 31 15%
Researcher 30 14%
Student > Doctoral Student 17 8%
Student > Postgraduate 13 6%
Other 41 19%
Unknown 45 21%
Readers by discipline Count As %
Medicine and Dentistry 64 30%
Nursing and Health Professions 31 15%
Social Sciences 19 9%
Computer Science 13 6%
Psychology 11 5%
Other 23 11%
Unknown 50 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2015.
All research outputs
#6,782,590
of 22,774,233 outputs
Outputs from Implementation Science
#1,143
of 1,721 outputs
Outputs of similar age
#94,687
of 361,188 outputs
Outputs of similar age from Implementation Science
#32
of 64 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 32nd percentile – i.e., 32% 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 361,188 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 73% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.