Evidence map›Paper›PMID 30660819›Full record

ArticleJournal of the American College of Surgeons2019

Resident-Sensitive Processes of Care: Impact of Surgical Residents on Inpatient Testing.

Clifford C Sheckter, Jeffrey Jopling, Qian Ding, Amber W Trickey, Todd Wagner, Arden M Morris, Mary T Hawn

Abstract read
In one paragraph

Article in Journal of the American College of Surgeons, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Clifford C SheckterDepartment of Surgery, Stanford University, Stanford, CA; Stanford-Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University, Stanford, CA.
Jeffrey JoplingDepartment of Surgery, Stanford University, Stanford, CA; Stanford-Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University, Stanford, CA.
Qian DingStanford-Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University, Stanford, CA.
Amber W TrickeyStanford-Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University, Stanford, CA.
Todd WagnerStanford-Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University, Stanford, CA.
Arden M MorrisDepartment of Surgery, Stanford University, Stanford, CA; Stanford-Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University, Stanford, CA.
Mary T HawnDepartment of Surgery, Stanford University, Stanford, CA; Stanford-Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University, Stanford, CA. Electronic address: mhawn@stanford.edu.

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
NCATS NIH HHS UL1 TR001085
6 · The paper itself

Abstract

backgroundHealth care value is a national priority, and there are substantial efforts to reduce overuse of low-value testing. Residency training programs and teaching hospitals have been implicated in excessive testing. We evaluated the impact of surgery residents on the frequency of inpatient testing and investigated potential inter-resident variation. STUDY

designInpatient laboratory and imaging orders placed on general surgery services were extracted from an academic institution from 2014 to 2016 and linked to National Surgical Quality Improvement Program data. Using negative binomial mixed effects regression with unstructured covariance, we evaluated the frequency of testing orders compared with median use, accounting for case, patient, and attending-level variables.

resultsThere were 111,055 laboratory orders and 7,360 imaging orders linked with 2,357 patients. Multivariable analysis demonstrated multiple significant predictors of increased testing including: postoperative complications, medical comorbidities, length of stay, relative value units, attending surgeon, and resident surgeon (95% CIs > 1, p < 0.05). Compared with the median resident physician, 47 residents (37.9%) placed significantly more laboratory orders, and 2 residents (1.6%) placed significantly more imaging orders (95% CI >1, p < 0.05). Resident identification explained 3.5% of the total variation in laboratory ordering and 4.9% in imaging orders.

conclusionsIndividual surgical residents had a significant association with the frequency of inpatient testing after adjusting for attending, case, and patient-level variables. There was greater resident variation in laboratory testing compared with imaging, yet surgical residents had small contributions to the total variation in both laboratory and imaging testing. Our models provide a means of identifying high users and could be used to educate residents on their ordering patterns.

Indexed as

InpatientsInternship and ResidencyProcess Assessment, Health CareDiagnostic ImagingDiagnostic Tests, RoutineGeneral SurgeryHospitals, TeachingHumansPractice Patterns, Physicians'United States

Identifiers

PMID30660819
PMCPMC6487214

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.