Evidence map›Paper›PMID 30947770›Full record

ArticleThe American surgeon2019

Diagnosis-Related Group in Colon Surgery: Identifying Areas of Improvement to Drive High-Value Care.

Byron D Hughes, Samantha A Moore, Hemalkumar B Mehta, Yong Shan, Anthony J Senagore

Abstract read
In one paragraph

Article in The American surgeon, 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

5 authors.

Byron D Hughes
Samantha A Moore
Hemalkumar B Mehta
Yong Shan
Anthony J Senagore

Funding

SURGICAL TRAINING IN GASTROINTESTINAL ENDOCRINOLOGYT32DK007639 · NIDDK · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI RADHAKRISHNAN, RAVI S. · 1992 to 2022
$3.6M
NIDDK NIH HHS T32 DK007639
6 · The paper itself

Abstract

Diagnosis-related group (DRG) migration is defined as the reassignment of colectomy patients from DRG 331 to 330 based exclusively on postoperative complications. Strategic and comparative application of this metric has the potential to demonstrate baseline and excessive rates of complications related directly to patient care differences across institutions. The aim of this study was to report the variability of DRG migration across United States hospitals and its impact on overall cost and length of stay (LOS). This study investigated the variability of DRG migration rates across United States hospitals polling 5 per cent of the national Medicare data. The study endpoints were total cost, LOS, and DRG migration rate. Hospitals were classified into tertiles for low (0.1-16.6%), moderate (16.7-23.0%), and high (23.1-83.3%) DRG migration rates. The study included 5120 patients from 615 hospitals. DRG migration rates for hospitals ranged from 0.1 per cent to 83.3 per cent, with 157 in the low, 183 in the moderate, and 364 in the high tertile. DRG migration resulted in a progressively increased LOS and hospital costs from the lowest to highest tertile. Several diagnoses were identified which are suggestive of failure to integrate evidence-based processes of care across the tertiles. The data confirm a wide variation in DRG migration rates from DRG 331 to 330 based only on postoperative complications. These ranges allow for the potential definition of both best practice, and opportunities for quality improvement with respect to postoperative complications, identification of hospital outliers, and the economics of care as part of a value-based care program.

Indexed as

Diagnosis-Related GroupsQuality ImprovementAgedAged, 80 and overColectomyFemaleHospital CostsHumansLength of StayMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesUnited States

Identifiers

PMID30947770
PMCPMC6599513

What OpenQuestion holds

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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.