Evidence map›Paper›PMID 31058241›Full record

ArticleTrauma surgery & acute care open2019

Macroeconomic trends and practice models impacting acute care surgery.

Andrew Bernard, Kristan Staudenmayer, Joseph P Minei, Jay Doucet, Adil Haider, Tres Scherer, Kimberly A Davis

Abstract read
In one paragraph

Article in Trauma surgery & acute care open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Andrew BernardSurgery, University of Kentucky Medical Center, Lexington, Kentucky, USA.
Kristan StaudenmayerSurgery, Stanford University, Stanford, California, USA.
Joseph P MineiSurgery, UT Southwestern, Dallas, Texas, USA.
Jay DoucetDepartment of Surgery, University of California San Diego Health System, San Diego, California, USA.
Adil HaiderSurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Tres SchererSurgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Kimberly A DavisSurgery, Yale School of Medicine, New Haven, Connecticut, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute care surgery (ACS) diagnoses are responsible for approximately a quarter of the costs of inpatient care in the US government, and individuals will be responsible for a larger share of the costs of this healthcare as the population ages. ACS as a specialty thus has the opportunity to meet a significant healthcare need, and by optimizing care delivery models do so in a way that improves both quality and value. ACS practice models that have maintained or added emergency general surgery (EGS) and even elective surgery have realized more operative case volume and surgeon satisfaction. However, vulnerabilities exist in the ACS model. Payer mix in a practice varies by geography and distribution of EGS, trauma, critical care, and elective surgery. Critical care codes constitute approximately 25% of all billing by acute care surgeons, so even small changes in reimbursement in critical care can have significant impact on professional revenue. Staffing an ACS practice can be challenging depending on reimbursement and due to uneven geographic distribution of available surgeons. Empowered by an understanding of economics, using team-oriented leadership inherent to trauma surgeons, and in partnership with healthcare organizations and regulatory bodies, ACS surgeons are positioned to significantly influence the future of healthcare in the USA.

Indexed as

costemergencyinsurancereimbursementtraumaworkforce

Identifiers

PMID31058241
PMCPMC6461137

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.