Evidence map›Paper›PMID 36790809›Full record

ArticleJAMA network open2023

Comparison of Simulated Outcomes of Colorectal Cancer Surgery at the Highest-Performing vs Chosen Local Hospitals.

Caitlin B Finn, Chris Wirtalla, Sanford E Roberts, Karole Collier, Shivan J Mehta, Carmen E Guerra, Edoardo Airoldi, Xu Zhang, Luke Keele, Cary B Aarons and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

12 authors at 2 institutions in 1 country.

Caitlin B FinnCenter for Surgery and Health Economics, Department of Surgery, University of Pennsylvania, Philadelphia.
Chris WirtallaCenter for Surgery and Health Economics, Department of Surgery, University of Pennsylvania, Philadelphia.
Sanford E RobertsCenter for Surgery and Health Economics, Department of Surgery, University of Pennsylvania, Philadelphia.
Karole CollierCenter for Surgery and Health Economics, Department of Surgery, University of Pennsylvania, Philadelphia.
Shivan J MehtaLeonard David Institute of Health Economics, University of Pennsylvania, Philadelphia.
Carmen E GuerraLeonard David Institute of Health Economics, University of Pennsylvania, Philadelphia.
Edoardo AiroldiDepartment of Statistical Science, Fox School of Business, Temple University, Philadelphia, Pennsylvania.
Xu ZhangDepartment of Statistical Science, Fox School of Business, Temple University, Philadelphia, Pennsylvania.
Luke KeeleCenter for Surgery and Health Economics, Department of Surgery, University of Pennsylvania, Philadelphia.
Cary B AaronsCenter for Surgery and Health Economics, Department of Surgery, University of Pennsylvania, Philadelphia.
Shane T JensenDepartment of Statistics and Data Science, The Wharton School at the University of Pennsylvania, Philadelphia.
Rachel R KelzCenter for Surgery and Health Economics, Department of Surgery, University of Pennsylvania, Philadelphia.
University of Pennsylvania · USTemple University · US

Funding

Personalized Provider Selection to Reduce Surgical DisparitiesR01MD016088 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI Rachel Kelz · 2022 to 2026
$3.2M
SURGICAL ONCOLOGY RESEARCH TRAINING PROGRAM AT PENNT32CA251063 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Ronald P. Dematteo · 2020 to 2026
$2.6M
NCI NIH HHS T32 CA251063NIMHD NIH HHS R01 MD016088
6 · The paper itself

Abstract

Importance: Variation in outcomes across hospitals adversely affects surgical patients. The use of high-quality hospitals varies by population, which may contribute to surgical disparities. Objective: To simulate the implications of data-driven hospital selection for social welfare among patients who underwent colorectal cancer surgery. Design, Setting, and Participants: This economic evaluation used the hospital inpatient file from the Florida Agency for Health Care Administration. Surgical outcomes of patients who were treated between January 1, 2016, and December 31, 2018 (training cohort), were used to estimate hospital performance. Costs and benefits of care at alternative hospitals were assessed in patients who were treated between January 1, 2019, and December 31, 2019 (testing cohort). The cohorts comprised patients 18 years or older who underwent elective colorectal resection for benign or malignant neoplasms. Data were analyzed from March to October 2022. Exposures: Using hierarchical logistic regression, we estimated the implications of hospital selection for in-hospital mortality risk in patients in the training cohort. These estimates were applied to patients in the testing cohort using bayesian simulations to compare outcomes at each patient's highest-performing and chosen local hospitals. Analyses were stratified by race and ethnicity to evaluate the potential implications for equity. Main Outcomes and Measures: The primary outcome was the mean patient-level change in social welfare, a composite measure balancing the value of reduced mortality with associated costs of care at higher-performing hospitals. Results: A total of 21 098 patients (mean [SD] age, 67.3 [12.0] years; 10 782 males [51.1%]; 2232 Black [10.6%] and 18 866 White [89.4%] individuals) who were treated at 178 hospitals were included. A higher-quality local hospital was identified for 3057 of 5000 patients (61.1%) in the testing cohort. Selecting the highest-performing hospital was associated with a 26.5% (95% CI, 24.5%-29.0%) relative reduction and 0.24% (95% CI, 0.23%-0.25%) absolute reduction in mortality risk. A mean amount of $1953 (95% CI, $1744-$2162) was gained in social welfare per patient treated. Simulated reassignment to a higher-quality local hospital was associated with a 23.5% (95% CI, 19.3%-32.9%) relative reduction and 0.26% (95% CI, 0.21%-0.30%) absolute reduction in mortality risk for Black patients, with $2427 (95% CI, $1697-$3158) gained in social welfare. Conclusions and Relevance: In this economic evaluation, using procedure-specific hospital performance as the primary factor in the selection of a local hospital for colorectal cancer surgery was associated with improved outcomes for both patients and society. Surgical outcomes data can be used to transform care and guide policy in colorectal cancer.

Indexed as

Colorectal NeoplasmsDigestive System Surgical ProceduresAgedBayes TheoremBlack PeopleFemaleHospitalsHumansMaleMiddle AgedWhite People

Identifiers

PMID36790809
PMCPMC9932827
OpenAlexW4320856083

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.