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Service and Education: The Association Between Workload, Patient Complexity, and Teaching on Internal Medicine Inpatient Services

Overview of attention for article published in Journal of General Internal Medicine, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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1 policy source
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17 X users

Citations

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9 Dimensions

Readers on

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35 Mendeley
Title
Service and Education: The Association Between Workload, Patient Complexity, and Teaching on Internal Medicine Inpatient Services
Published in
Journal of General Internal Medicine, February 2018
DOI 10.1007/s11606-017-4302-9
Pubmed ID
Authors

Temple A. Ratcliffe, Meghan A. Crabtree, Raymond F. Palmer, Jacqueline A. Pugh, Holly J. Lanham, Luci K. Leykum

Abstract

Attending rounds remain the primary venue for formal teaching and learning at academic medical centers. Little is known about the effect of increasing clinical demands on teaching during attending rounds. To explore the relationships among teaching time, teaching topics, clinical workload, and patient complexity variables. Observational study of medicine teaching teams from September 2008 through August 2014. Teams at two large teaching hospitals associated with a single medical school were observed for periods of 2 to 4 weeks. Twelve medicine teaching teams consisting of one attending, one second- or third-year resident, two to three interns, and two to three medical students. The study examined relationships between patient complexity (comorbidities, complications) and clinical workload variables (census, turnover) with educational measures. Teams were clustered based on clinical workload and patient complexity. Educational measures of interest were time spent teaching and number of teaching topics. Data were analyzed both at the daily observation level and across a given patient's admission. We observed 12 teams, 1994 discussions (approximately 373 h of rounds) of 563 patients over 244 observation days. Teams clustered into three groups: low patient complexity/high clinical workload, average patient complexity/low clinical workload, and high patient complexity/high clinical workload. Modest associations for team, patient complexity, and clinical workload variables were noted with total time spent teaching (9.1% of the variance in time spent teaching during a patient's admission; F[8,549] = 6.90, p < 0.001) and number of teaching topics (16% of the variance in the total number of teaching topics during a patient's admission; F[8,548] = 14.18, p < 0.001). Clinical workload and patient complexity characteristics among teams were only modestly associated with total teaching time and teaching topics.

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The data shown below were collected from the profiles of 17 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 11%
Researcher 4 11%
Student > Master 4 11%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Other 6 17%
Unknown 11 31%
Readers by discipline Count As %
Medicine and Dentistry 9 26%
Nursing and Health Professions 5 14%
Psychology 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Sports and Recreations 1 3%
Other 3 9%
Unknown 14 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 January 2022.
All research outputs
#2,771,748
of 25,292,378 outputs
Outputs from Journal of General Internal Medicine
#2,027
of 8,146 outputs
Outputs of similar age
#61,620
of 452,720 outputs
Outputs of similar age from Journal of General Internal Medicine
#54
of 148 outputs
Altmetric has tracked 25,292,378 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,146 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done well, scoring higher than 75% 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 452,720 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 148 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 64% of its contemporaries.