Evidence map›Paper›PMID 36590892›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2022

Association of Insurance Type With Colorectal Surgery Outcomes and Costs at a Safety-Net Hospital: A Retrospective Observational Study.

Jasmine C Tetley, Michael A Jacobs, Jeongsoo Kim, Susanne Schmidt, Bradley B Brimhall, Virginia Mika, Chen-Pin Wang, Laura S Manuel, Paul Damien, Paula K Shireman

Abstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Independent Associations of Neighborhood Deprivation and Patient-level Social Determinants of Health with Textbook Outcomes after Inpatient Surgery.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023
    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

10 authors.

Jasmine C TetleyDepartment of Surgery, University of Texas Health San Antonio, San Antonio, TX.
Michael A JacobsDepartment of Surgery, University of Texas Health San Antonio, San Antonio, TX.
Jeongsoo KimDepartment of Surgery, University of Texas Health San Antonio, San Antonio, TX.
Susanne SchmidtDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, TX.
Bradley B BrimhallDepartment of Pathology and Laboratory Medicine, University of Texas Health San Antonio, San Antonio, TX.
Virginia MikaUniversity Health, San Antonio, TX.
Chen-Pin WangDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, TX.
Laura S ManuelDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, TX.
Paul DamienDepartment of Information, Risk, and Operations Management, Red McCombs School of Business, University of Texas, Austin, TX.
Paula K ShiremanDepartment of Surgery, University of Texas Health San Antonio, San Antonio, TX.

Funding

Institute for Integration of Medicine & Science: A Partnership to Improve HealthUM1TR004538 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ROBERT A CLARK, Kenneth M Hargreaves · 2023 to 2026
$22.3M
Institute for Integration of Medicine & Science: A Partnership to Improve HealthUL1TR002645 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CLARK, ROBERT A, HARGREAVES, KENNETH M · 2018 to 2022
$20.4M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon · 2015 to 2026
$14.1M
Harnessing the power of CTSA-CDRN data networks: Using social determinants of health, frailty and functional status to identify at-risk patients and improve risk adjustmentU01TR002393 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SHIREMAN, PAULA K · 2018 to 2021
$3.1M
NCATS NIH HHS U01 TR002393NCATS NIH HHS UL1 TR002645NCATS NIH HHS UM1 TR004538NIA NIH HHS P30 AG044271
6 · The paper itself

Abstract

Association of insurance type with colorectal surgical complications, textbook outcomes (TO), and cost in a safety-net hospital (SNH). Background: SNHs have higher surgical complications and costs compared to low-burden hospitals. How does presentation acuity and insurance type influence colorectal surgical outcomes? Methods: Retrospective cohort study using single-site National Surgical Quality Improvement Program (2013-2019) with cost data and risk-adjusted by frailty, preoperative serious acute conditions (PASC), case status and open versus laparoscopic to evaluate 30-day reoperations, any complication, Clavien-Dindo IV (CDIV) complications, TO, and hospitalization variable costs. Results: Cases (Private 252; Medicare 207; Medicaid/Uninsured 619) with patient mean age 55.2 years (SD = 13.4) and 53.1% male. Adjusting for frailty, open abdomen, and urgent/emergent cases, Medicaid/Uninsured patients had higher odds of presenting with PASC (adjusted odds ratio [aOR] = 2.02, 95% confidence interval [CI] = 1.22-3.52, Conclusions: Decreasing the incidence of urgent/emergent colorectal surgeries, possibly by improving access to care, could have a greater impact on improving clinical outcomes and decreasing costs, especially in Medicaid/Uninsured insurance type patients.

Indexed as

colorectal surgeryinsurance statuspreoperative acute serious conditionssocial risk factorstextbook outcomesvariable costs

Identifiers

PMID36590892
PMCPMC9780053

What OpenQuestion holds

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LicenceCC BY
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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.