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Billing by residents and attending physicians in family medicine: the effects of the provider, patient, and visit factors

Overview of attention for article published in BMC Medical Education, June 2018
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Title
Billing by residents and attending physicians in family medicine: the effects of the provider, patient, and visit factors
Published in
BMC Medical Education, June 2018
DOI 10.1186/s12909-018-1246-7
Pubmed ID
Authors

Morhaf Al Achkar, Seema Kengeri-Srikantiah, Biniyam M. Yamane, Jomil Villasmil, Michael E. Busha, Kevin B. Gebke

Abstract

Medical billing and coding are critical components of residency programs since they determine the revenues and vitality of residencies. It has been suggested that residents are less likely to bill higher evaluation and management (E/M) codes compared with attending physicians. The purpose of this study is to assess the variation in billing patterns between residents and attending physicians, considering provider, patient, and visit characteristics. A retrospective cohort study of all established outpatient visits at a family medicine residency clinic over a 5-year period was performed. We employed the logistic regression methodology to identify residents' and attending physicians' variations in coding E/M service levels. We also employed Poisson regression to test the sensitivity of our result. Between January 5, 2009 and September 25, 2015, 98,601 visits to 116 residents and 18 attending physicians were reviewed. After adjusting for provider, patient, and visit characteristics, residents billed higher E/M codes less often compared with attending physicians for comparable visits. In comparison with attending physicians, the odds ratios for billing higher E/M codes were 0.58 (p = 0.01), 0.56 (p = 0.01), and 0.63 (p = 0.01) for the third, second, and first years of postgraduate training, respectively. In addition to the main factors of patient age, medical conditions, and number of addressed problems, the gender of the provider was also implicated in the billing variations. Residents are less likely to bill higher E/M codes than attending physicians are for similar visits. While these variations are known to contribute to lost revenues, further studies are required to explore their effect on patient care in relation to attendings' direct involvement in higher E/M-coded versus their indirect involvement in lower E/M-coded visits.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 13%
Student > Doctoral Student 3 10%
Researcher 3 10%
Student > Bachelor 2 6%
Professor 2 6%
Other 4 13%
Unknown 13 42%
Readers by discipline Count As %
Medicine and Dentistry 5 16%
Psychology 2 6%
Social Sciences 2 6%
Computer Science 2 6%
Unspecified 1 3%
Other 3 10%
Unknown 16 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2018.
All research outputs
#17,980,413
of 23,090,520 outputs
Outputs from BMC Medical Education
#2,646
of 3,384 outputs
Outputs of similar age
#237,296
of 328,585 outputs
Outputs of similar age from BMC Medical Education
#70
of 88 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,384 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 17th percentile – i.e., 17% 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 328,585 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.