Evidence map›Paper›PMID 26741863›Full record

ArticleSouthern medical journal2016

House Officer-Driven Reduction in Laboratory Utilization.

Bernard Tawfik, J B Collins, Nora F Fino, David P Miller

Abstract read
In one paragraph

Article in Southern medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
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

4 authors.

Bernard TawfikFrom the Department of Internal Medicine, Wake Forest School of Medicine, the Department of Biostatistical Sciences, Wake Forest Baptist Health Performance Improvement, and the Department of Biostatistics and Bioinformatics, Wake Forest School of Medicine, Winston-Salem, North Carolina.
J B CollinsFrom the Department of Internal Medicine, Wake Forest School of Medicine, the Department of Biostatistical Sciences, Wake Forest Baptist Health Performance Improvement, and the Department of Biostatistics and Bioinformatics, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Nora F FinoFrom the Department of Internal Medicine, Wake Forest School of Medicine, the Department of Biostatistical Sciences, Wake Forest Baptist Health Performance Improvement, and the Department of Biostatistics and Bioinformatics, Wake Forest School of Medicine, Winston-Salem, North Carolina.
David P MillerFrom the Department of Internal Medicine, Wake Forest School of Medicine, the Department of Biostatistical Sciences, Wake Forest Baptist Health Performance Improvement, and the Department of Biostatistics and Bioinformatics, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
NCI NIH HHS P30 CA012197
6 · The paper itself

Abstract

objectivesTo determine whether sharing laboratory charge and personal utilization information with physicians can reduce laboratory test orders and expenditures, thereby decreasing the overutilization of laboratory testing.

methodsThis was a prospective study. By querying our electronic medical records, we calculated the median laboratory charges per patient/per day (PP/PD) and median laboratory tests ordered PP/PD for the resident general internal medicine and hospitalist services. For 10 weeks, we shared this team-based information with physicians with weekly updates. We calculated total laboratory charges for the 10 most common discharge diagnoses to capture laboratory charges for entire episodes of care.

resultsDuring the intervention, the mean number of laboratory tests ordered PP/PD by resident service decreased from 5.56 to 5.17 (-0.389, P <0.001); the mean charge PP/PD decreased from $488 to $461 (-$27, P < 0.001). The hospitalist service decreased the number of laboratory tests ordered PP/PD from 3.54 to 3.36 (-0.18, P = 0.77) and the mean charge PP/PD decreased from $331 to $301 (-$30, P = 0.96). The statistically significant decline in laboratory charges persisted after controlling for the 10 most common discharge diagnoses. Compared with the 3-month period before the study began, physicians in the 10-week intervention period ordered 1464 fewer laboratory tests, resulting in a $188,000 reduction in charges and a 3% to 4% reduction in utilization.

conclusionsInforming physicians of the charges for laboratory tests and their personal utilization patterns can reduce the number of laboratory tests ordered and laboratory expenditures, especially for physicians in training.

Indexed as

Practice Patterns, Physicians'Clinical Laboratory TechniquesElectronic Health RecordsInternal MedicineLaboratoriesMedical OveruseProspective StudiesUnited States

Identifiers

PMID26741863
PMCPMC4864034

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Registered trials

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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.