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The results of a survey highlighting issues with feedback on medical training in the United Kingdom and how a Smartphone App could provide a solution

Overview of attention for article published in BMC Research Notes, November 2015
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Title
The results of a survey highlighting issues with feedback on medical training in the United Kingdom and how a Smartphone App could provide a solution
Published in
BMC Research Notes, November 2015
DOI 10.1186/s13104-015-1649-z
Pubmed ID
Authors

Thomas G. Gray, Gill Hood, Tom Farrell

Abstract

Feedback drives learning in medical education. Healthcare Supervision Logbook (HSL) is a Smartphone App developed at Sheffield Teaching Hospitals for providing feedback on medical training, from both a trainee's and a supervisor's perspective. In order to establish a mandate for the role of HSL in clinical practice, a large survey was carried out. Two surveys (one for doctors undertaking specialty training and a second for consultants supervising their training) were designed. The survey for doctors-in-training was distributed to all specialty trainees in the South and West localities of the Health Education Yorkshire and the Humber UK region. The survey for supervisors was distributed to all consultants involved in educational and clinical supervision of specialty trainees at Sheffield Teaching Hospitals. The results confirm that specialty trainees provide feedback on their training infrequently-66 % do so only annually. 96 % of the specialty trainees owned a Smartphone and 45 % said that they would be willing to use a Smartphone App to provide daily feedback on the clinical and educational supervision they receive. Consultant supervisors do not receive regular feedback on the educational and clinical supervision they provide to trainees-56 % said they never received such feedback and 33 % said it was only on an annual basis. 86 % of consultants surveyed owned a Smartphone and 41 % said they would be willing to use a Smartphone App to provide feedback on the performance of trainees they were supervising. Feedback on medical training is recorded by specialty trainees infrequently and consultants providing educational and clinical supervision often do not receive any feedback on their performance in this area. HSL is a simple, quick and efficient way to collect and collate feedback on medical training to improve this situation. Good support and education needs to be provided when implementing this new technology.

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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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Bachelor 9 16%
Student > Master 7 13%
Student > Postgraduate 6 11%
Student > Doctoral Student 4 7%
Other 11 20%
Unknown 9 16%
Readers by discipline Count As %
Medicine and Dentistry 22 39%
Nursing and Health Professions 5 9%
Psychology 4 7%
Business, Management and Accounting 3 5%
Social Sciences 3 5%
Other 9 16%
Unknown 10 18%
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 20 November 2015.
All research outputs
#14,574,585
of 23,342,092 outputs
Outputs from BMC Research Notes
#1,992
of 4,306 outputs
Outputs of similar age
#149,771
of 286,973 outputs
Outputs of similar age from BMC Research Notes
#78
of 192 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 50% 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 286,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 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 54% of its contemporaries.