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Mendeley readers
Attention Score in Context
| Title |
Computer-supported feedback message tailoring: theory-informed adaptation of clinical audit and feedback for learning and behavior change
|
|---|---|
| Published in |
Implementation Science, January 2015
|
| DOI | 10.1186/s13012-014-0203-z |
| Pubmed ID | |
| Authors |
Zach Landis-Lewis, Jamie C Brehaut, Harry Hochheiser, Gerald P Douglas, Rebecca S Jacobson |
| Abstract |
BackgroundEvidence shows that clinical audit and feedback can significantly improve compliance with desired practice, but it is unclear when and how it is effective. Audit and feedback is likely to be more effective when feedback messages can influence barriers to behavior change, but barriers to change differ across individual health-care providers, stemming from differences in providers¿ individual characteristics.DiscussionThe purpose of this article is to invite debate and direct research attention towards a novel audit and feedback component that could enable interventions to adapt to barriers to behavior change for individual health-care providers: computer-supported tailoring of feedback messages. We argue that, by leveraging available clinical data, theory-informed knowledge about behavior change, and the knowledge of clinical supervisors or peers who deliver feedback messages, a software application that supports feedback message tailoring could improve feedback message relevance for barriers to behavior change, thereby increasing the effectiveness of audit and feedback interventions. We describe a prototype system that supports the provision of tailored feedback messages by generating a menu of graphical and textual messages with associated descriptions of targeted barriers to behavior change. Supervisors could use the menu to select messages based on their awareness of each feedback recipient¿s specific barriers to behavior change. We anticipate that such a system, if designed appropriately, could guide supervisors towards giving more effective feedback for health-care providers.SummaryA foundation of evidence and knowledge in related health research domains supports the development of feedback message tailoring systems for clinical audit and feedback. Creating and evaluating computer-supported feedback tailoring tools is a promising approach to improving the effectiveness of clinical audit and feedback. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Australia | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 5% |
| United States | 1 | 1% |
| Colombia | 1 | 1% |
| Unknown | 77 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 17% |
| Researcher | 14 | 17% |
| Professor | 9 | 11% |
| Student > Postgraduate | 7 | 8% |
| Other | 6 | 7% |
| Other | 23 | 28% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 30% |
| Psychology | 10 | 12% |
| Nursing and Health Professions | 9 | 11% |
| Social Sciences | 5 | 6% |
| Computer Science | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 16 | 19% |
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 05 February 2015.
All research outputs
#7,393,865
of 22,778,347 outputs
Outputs from Implementation Science
#1,234
of 1,721 outputs
Outputs of similar age
#105,473
of 351,724 outputs
Outputs of similar age from Implementation Science
#31
of 54 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th 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 27th percentile – i.e., 27% 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 351,724 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 69% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.