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Factors predicting training transfer in health professionals participating in quality improvement educational interventions

Overview of attention for article published in BMC Medical Education, January 2017
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Title
Factors predicting training transfer in health professionals participating in quality improvement educational interventions
Published in
BMC Medical Education, January 2017
DOI 10.1186/s12909-017-0866-7
Pubmed ID
Authors

Ahmed Eid, Doris Quinn

Abstract

Predictors of quality improvement (QI) training transfer are needed. This study aimed to identify these predictors among health professionals who participated in a QI training program held at a large hospital in the United States between 2005 and 2014. It also aimed to determine how these predictive factors facilitated or impeded QI training transfer. Following the Success Case Method, we used a screening survey to identify trainees with high and low levels of training transfer. We then conducted semistructured interviews with a sample of the survey respondents to document how training transfer was achieved and how lack of training transfer could be explained. The survey's response rate was 43%, with a Cronbach alpha of 0.89. We then conducted a thematic analysis of the interview transcripts of 16 physicians. The analysis revealed 3 categories of factors influencing the transfer of QI training: trainee characteristics, training course, and work environment. Relevant trainee characteristics included attitude toward change, motivation, mental processing skills, interpersonal skills, and the personality characteristics curiosity, humility, conscientiousness, resilience, wisdom, and positivity. The training project, team-based learning, and lectures were identified as relevant aspects of the training course. Work culture, work relationships, and resources were subthemes of the work environment category. We identified several QI training transfer predictors in our cohort of physicians. We hypothesize that some of these predictors may be more relevant to QI training transfer. Our results will help organizational leaders select trainees who are most likely to transfer QI training and to ensure that their work environments are conducive to QI training transfer.

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

Geographical breakdown

Country Count As %
Ecuador 1 <1%
Unknown 133 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 19%
Student > Ph. D. Student 16 12%
Researcher 9 7%
Student > Doctoral Student 7 5%
Student > Bachelor 6 4%
Other 21 16%
Unknown 50 37%
Readers by discipline Count As %
Medicine and Dentistry 19 14%
Business, Management and Accounting 14 10%
Psychology 13 10%
Nursing and Health Professions 10 7%
Social Sciences 10 7%
Other 16 12%
Unknown 52 39%
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 27 April 2017.
All research outputs
#13,547,128
of 22,963,381 outputs
Outputs from BMC Medical Education
#1,725
of 3,348 outputs
Outputs of similar age
#211,850
of 420,267 outputs
Outputs of similar age from BMC Medical Education
#30
of 49 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,348 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 45th percentile – i.e., 45% 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 420,267 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 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.