Evidence map›Paper›PMID 31283739›Full record

ArticleAnesthesiology2019

Trends in Direct Hospital Payments to Anesthesia Groups: A Retrospective Cohort Study of Nonacademic Hospitals in California.

Chloe O'Connell, Franklin Dexter, David J Mauler, Eric C Sun

Abstract read
In one paragraph

Article in Anesthesiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Chloe O'ConnellFrom the Department of Anesthesiology, Pain, and Perioperative Medicine and Department of Health Research and Policy (E.C.S.) Stanford University School of Medicine (C.O'C.), Stanford, California the Division of Management Consulting, Department of Anesthesia, University of Iowa, Iowa City, Iowa (F.D.) the Mayo Clinic School of Medicine, Rochester, Minnesota (D.J.M.).
Franklin Dexter
David J Mauler
Eric C Sun

Funding

The Epidemiology and Economics of Chronic Back PainK08DA042314 · NIDA · STANFORD UNIVERSITY · PI SUN, ERIC · 2017 to 2022
$975k
NIDA NIH HHS K08 DA042314
6 · The paper itself

Abstract

backgroundIn addition to payments for services, anesthesia groups in the United States often receive revenue from direct hospital payments. Understanding the magnitude of these payments and their association with the hospitals' payer mixes has important policy implications.

methodsUsing a dataset of financial reports from 240 nonacademic California hospitals between 2002 and 2014, the authors characterized the prevalence and magnitude of direct hospital payments to anesthesia groups, and analyzed the association between these payments and the fraction of anesthesia revenue derived from public payers (e.g., Medicaid).

resultsOf hospitals analyzed, 69% (124 of 180) made direct payments to an anesthesia group in 2014, compared to 52% (76 of 147) in 2002; the median payment increased from $242,351 (mean, $578,322; interquartile range, $72,753 to $523,861; all dollar values in 2018 U.S. dollars) to $765,128 (mean, $1,295,369; interquartile range, $267,006 to $1,503,163) during this time period. After adjusting for relevant covariates, hospitals where public insurers accounted for a larger fraction of anesthesia revenues were more likely to make direct payments to anesthesia groups (β = 0.45; 95% CI, 0.10 to 0.81; P = 0.013), so that a 10-percentage point increase in the fraction of anesthesia revenue derived from public payers would be associated with a 4.5-percentage point increase in the probability of receiving any payment. Among hospitals making payments, our results (β = 2.10; 95% CI, 0.74 to 3.45; P = 0.003) suggest that a 1-percentage point increase in the fraction of anesthesia revenue derived from public payers would be associated with a 2% relative increase in the amount paid.

conclusionsDirect payments from hospitals are becoming a larger financial consideration for anesthesia groups in California serving nonacademic hospitals, and are larger for groups working at hospitals serving publicly insured patients.

Indexed as

AnesthesiologyCaliforniaCohort StudiesEconomics, HospitalGroup PracticeHospital CostsHumansInsurance, HealthPrivate PracticeRetrospective StudiesUnited States

Identifiers

PMID31283739
PMCPMC7583316

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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.