Evidence map›Paper›PMID 31259872›Full record

ArticleThe journal of trauma and acute care surgery2019

High-performance acute care hospitals: Excelling across multiple emergency general surgery operations in the geriatric patient.

Michael P DeWane, Nitin Sukumar, Marilyn J Stolar, Thomas M Gill, Adrian A Maung, Kevin M Schuster, Kimberly A Davis, Robert D Becher

Abstract read
In one paragraph

Article in The journal of trauma and acute care surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Regionalization of emergency general surgery operations: A simulation study.The journal of trauma and acute care surgery · 2020
    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

8 authors.

Michael P DeWaneFrom the Section of General Surgery, Trauma, and Surgical Critical Care, Department of Surgery (M.P.D., A.A.M., K.M.S., K.A.D., R.D.B.), Yale School of Medicine; Yale Center for Analytical Sciences (N.S., M.J.S.), Yale School of Public Health; and Section of Geriatrics, Department of Internal Medicine (T.M.G.), Yale School of Medicine, New Haven, Connecticut.
Nitin Sukumar
Marilyn J Stolar
Thomas M Gill
Adrian A Maung
Kevin M Schuster
Kimberly A Davis
Robert D Becher

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
ACADEMIC LEADERSHIP AWARD IN DISABILITY AND DISABLING DISORDERSK07AG043587 · NIA · YALE UNIVERSITY · PI GILL, THOMAS MICHAEL · 2013 to 2017
$645k
NCATS NIH HHS KL2 TR001862NIA NIH HHS K07 AG043587NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

backgroundAs the geriatric population grows, the need for hospitals performing high quality emergency general surgery (EGS) on older patients will increase. Identifying clusters of high-performing geriatric emergency general surgery hospitals would substantiate the need for in-depth analyses of hospital-specific structures and practices that benefit older EGS patients. The objectives of this study were therefore to identify clusters of hospitals based on mortality performance for geriatric patients undergoing common EGS operations and to determine if hospital performance was similar for all operation types.

methodsHospitals in the California State Inpatient Database were included if they performed a range of eight common EGS operations in patients 65 years or older, with a minimum requirement of three of each operation performed over 2 years. Multivariable beta regression models were created to define hospital-level risk-adjusted mortality. Centroid cluster analysis was used to identify groups of hospitals based on mortality and to determine if mortality-performance differed by operation.

resultsOne hundred seven hospitals were included, performing a total of 24,279 operations in older patients. Hospitals separated into three distinct clusters: high, average, and low performers. The high-performing hospitals had survival rates 1 to 2 standard deviations better than the low-performers (p < 0.001). For each cluster, high performance in any one EGS operation consistently translated into high performance across all EGS operations.

conclusionHospitals conducting EGS operations in the geriatric patient population cluster into three distinct groups based on their survival performance. High-performing hospitals significantly outperform the average and low performers across every operation. The high-performers achieve reliable, high-quality results regardless of operation type. Further qualitative research is needed to investigate the perioperative drivers of hospital performance in the geriatric EGS population. LEVEL OF EVIDENCE: Study Type Prognostic, level III.

Indexed as

AgedCaliforniaCluster AnalysisEmergenciesHospital MortalityHospitalsHumansSurgical Procedures, Operative

Identifiers

PMID31259872
PMCPMC7656193

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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.