Evidence map›Paper›PMID 36244224›Full record

ArticleThe Journal of surgical research2023

Association of Insurance Type With Inpatient Surgery 30-Day Complications and Costs.

Richard C Simon, Jeongsoo Kim, Susanne Schmidt, Bradley B Brimhall, Camerino I Salazar, Chen-Pin Wang, Zhu Wang, Zaheer U Sarwar, Laura S Manuel, Paul Damien and 1 more

Abstract read
In one paragraph

Article in The Journal of surgical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors.

Richard C SimonDepartment of Surgery, University of Texas Health San Antonio, San Antonio, Texas.
Jeongsoo KimDepartment of Surgery, University of Texas Health San Antonio, San Antonio, Texas.
Susanne SchmidtDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, Texas.
Bradley B BrimhallDepartment of Pathology and Laboratory Medicine, University of Texas Health San Antonio, San Antonio, Texas; University Health, San Antonio, Texas.
Camerino I SalazarUniversity Health, San Antonio, Texas.
Chen-Pin WangDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, Texas.
Zhu WangDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, Texas.
Zaheer U SarwarDepartment of Surgery, University of Texas Health San Antonio, San Antonio, Texas; University Health, San Antonio, Texas.
Laura S ManuelDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, Texas.
Paul DamienDepartment of Information, Risk, and Operations Management, Red McCombs School of Business, University of Texas, Austin, Texas.
Paula K ShiremanDepartment of Surgery, University of Texas Health San Antonio, San Antonio, Texas; University Health, San Antonio, Texas; Departments of Primary Care & Rural Medicine and Medical Physiology, School of Medicine, Texas A&M Health, Bryan, Texas. Electronic address: Shireman@tamu.edu.

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

introductionSafety-net hospitals (SNHs) have higher postoperative complications and costs versus low-burden hospitals. Do low socioeconomic status/vulnerable patients receive care at lower-quality hospitals or are there factors beyond providers' control? We studied the association of private, Medicare, and vulnerable insurance type with complications/costs in a high-burden SNH.

methodsRetrospective inpatient cohort study using National Surgical Quality Improvement Program (NSQIP) data (2013-2019) with cost data risk-adjusted by frailty, preoperative serious acute conditions (PASC), case status, and expanded operative stress score (OSS) to evaluate 30-day unplanned reoperations, any complication, Clavien-Dindo IV (CDIV) complications, and hospitalization variable costs.

resultsCases (Private 1517; Medicare 1224; Vulnerable 3648) with patient mean age 52.3 y [standard deviation = 14.7] and 47.3% male. Adjusting for frailty and OSS, vulnerable patients had higher odds of PASC (aOR = 1.71, CI = 1.39-2.10, P < 0.001) versus private. Adjusting for frailty, PASC and OSS, Medicare (aOR = 1.27, CI = 1.06-1.53, P = 0.009), and vulnerable (aOR = 2.44, CI = 2.13-2.79, P < 0.001) patients were more likely to undergo urgent/emergent surgeries. Vulnerable patients had increased odds of reoperation and any complications versus private. Variable cost percentage change was similar between private and vulnerable after adjusting for case status. Urgent/emergent case status increased percentage change costs by 32.31%. We simulated "switching" numbers of private (3648) versus vulnerable (1517) cases resulting in an estimated variable cost of $49.275 million, a 25.2% decrease from the original $65.859 million.

conclusionsIncreased presentation acuity (PASC and urgent/emergent surgeries) in vulnerable patients drive increased odds of complications and costs versus private, suggesting factors beyond providers' control. The greatest impact on outcomes may be from decreasing the incidence of urgent/emergent surgeries by improving access to care.

Indexed as

FrailtyInpatientsAgedCohort StudiesFemaleHumansMaleMedicareMiddle AgedPostoperative ComplicationsRetrospective StudiesUnited StatesClavien-Dindo level IV complicationsSimulationSocial risk factorsSocioeconomic statusSurgical outcomes

Identifiers

PMID36244224
PMCPMC11542174

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.