Evidence map›Paper›PMID 41132746›Full record

ArticleSurgery open science2025

Association of hospital profit status with operative rates for acute appendicitis.

Konmal Ali, Sona Mahrokhi, Amulya Vadlakonda, Troy Coaston, Melissa Justo, Deep Mehta, Edward Livingston, Peyman Benharash

Abstract read
In one paragraph

Article in Surgery open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Konmal AliCenter for Advanced Surgical and Interventional Technology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Sona MahrokhiCenter for Advanced Surgical and Interventional Technology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Amulya VadlakondaCenter for Advanced Surgical and Interventional Technology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Troy CoastonCenter for Advanced Surgical and Interventional Technology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Melissa JustoCenter for Advanced Surgical and Interventional Technology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Deep MehtaCenter for Advanced Surgical and Interventional Technology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Edward LivingstonDepartment of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Peyman BenharashCenter for Advanced Surgical and Interventional Technology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although appendicitis can now be treated nonoperatively, the uptake of nonoperative management of appendicitis (NOM) has been slow. We explored patient and hospital factors that might explain variation in appendectomy and NOM rates. Methods: All adult hospitalizations for appendicitis were tabulated from the 2019-2022 Nationwide Readmissions Database. Initial, exploratory analyses revealed that appendectomy rates were lower in not-for-profit (NFP) relative to for-profit (FP) hospitals. Bayesian logistic regression and Fairlie decomposition were employed to explain the bases for these differences. Results: There were 4394 NFP and 818 FP hospitals. When compared with FP facilities, NFP hospitals had a smaller proportion of appendicitis cases treated by appendectomy (82.9 ± 11.8 v. 89.7 ± 8.0) (mean ± SD) (Cohen's d: -0.70) and less than one-half the amount of charges $44,713 [30,217, 65,442] vs. $93,078 [64,171, 129,301] (median ± IQR) (Cohen's d > -0.7, medium effect size). When estimated from regression equations, the gap between NFP and FP hospital appendectomy rates was 7.5 %. Total charges explained almost all of the gap between NFP and FP hospital appendectomy rates (0.068/0.090 = 75 %) of the gap. The presence of complicated appendicitis and EGS volume reduced the gap by -0.013 (-0.013/0.090 = 14 %). Conclusion: Appendectomy rates for the treatment of appendicitis were greater in FP hospitals with almost all the difference in the rates explained by much higher charges observed in FP hospitals. The potential for greater profit from appendectomy as compared with NOM of appendicitis may explain why appendectomy is more common in FP hospitals.

Indexed as

AppendicitisCenter-levelNationwide Readmissions DatabaseNonoperative management

Identifiers

PMID41132746
PMCPMC12540028

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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.