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Health information, behavior change, and decision support for patients with type 2 diabetes: development of a tailored, preference-sensitive health communication application

Overview of attention for article published in Patient preference and adherence, October 2013
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  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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3 X users

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mendeley
163 Mendeley
Title
Health information, behavior change, and decision support for patients with type 2 diabetes: development of a tailored, preference-sensitive health communication application
Published in
Patient preference and adherence, October 2013
DOI 10.2147/ppa.s46924
Pubmed ID
Authors

Nina Weymann, Martin Härter, Frank Petrak, Jörg Dirmaier

Abstract

Patient involvement in diabetes treatment such as shared decision-making and patient self-management has significant effects on clinical parameters. As a prerequisite for active involvement, patients need to be informed in an adequate and preference-sensitive way. Interactive Health Communication Applications (IHCAs) that combine web-based health information for patients with additional support offer the opportunity to reach great numbers of patients at low cost and provide them with high-quality information and support at the time, place, and learning speed they prefer. Still, web-based interventions often suffer from high attrition. Tailoring the intervention to patients' needs and preferences might reduce attrition and should thereby increase effectiveness. The purpose of this study was to develop a tailored IHCA offering evidence-based, preference-sensitive content and treatment decision support to patients with type 2 diabetes. The content was developed based on a needs assessment and two evidence-based treatment guidelines. The delivery format is a dialogue-based, tunneled design tailoring the content and tone of the dialogue to relevant patient characteristics (health literacy, attitudes toward self-care, and psychological barriers to insulin treatment). Both content and tailoring were revised by an interdisciplinary advisory committee.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Norway 1 <1%
Unknown 159 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Student > Master 30 18%
Student > Bachelor 17 10%
Researcher 16 10%
Student > Postgraduate 12 7%
Other 38 23%
Unknown 19 12%
Readers by discipline Count As %
Medicine and Dentistry 36 22%
Psychology 21 13%
Social Sciences 18 11%
Nursing and Health Professions 16 10%
Computer Science 12 7%
Other 33 20%
Unknown 27 17%
Attention Score in Context

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 14 November 2013.
All research outputs
#15,739,010
of 25,373,627 outputs
Outputs from Patient preference and adherence
#864
of 1,757 outputs
Outputs of similar age
#123,993
of 219,840 outputs
Outputs of similar age from Patient preference and adherence
#11
of 35 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 48th percentile – i.e., 48% 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 219,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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 68% of its contemporaries.