Evidence map›Paper›PMID 36111322›Full record

ArticleClinicoEconomics and outcomes research : CEOR2022

Correlates of Price Transparency for Healthcare Services in United States Hospitals.

David N Younessi, John C Lin, Paul B Greenberg, Dustin D French

Abstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2022. 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

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

David N YounessiFeinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID 0000-0003-4422-1684
John C LinDivision of Biology and Medicine, Brown University, Providence, RI, USA.
Paul B GreenbergDivision of Ophthalmology, Alpert Medical School, Brown University, Providence, RI, USA.
Dustin D FrenchDepartments of Ophthalmology and Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID 0000-0003-4064-3206

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MARSHALL H CHIN · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

Purpose: The purpose of this study is to investigate demographic and hospital characteristics that predict hospital price transparency in the United States. Methods: We identified 6214 hospitals and extracted characteristics of each using the American Hospital Association Annual Survey, as well as cash prices for a representative selection of commonly performed procedures and visits from the Turquoise Health dataset. Descriptive statistics were used to determine compliance rates and price variation, and a Poisson regression model was used to calculate incidence rate ratios (IRR) and 95% confidence intervals (CI) for predictors of price transparency. Results: Price transparency compliance ranged from 13% to 49% of hospitals, and across-center ratios ranged from 244.8 to 4789.0. Number of hospital beds was marginally associated with price transparency for more services (IRR: 1.01 [95% CI: 1.01-1.02]); in contrast, location in the Southern (IRR: 0.91 [95% CI: 0.87-0.96]) or Western (IRR: 0.94 [95% CI: 0.90-0.99]) regions of the US was associated with transparency for fewer services. Conclusion: Smaller hospitals as well as those located in the South and West regions were less likely to be compliant with the CMS mandate for price transparency for hospital standard charges. Additionally, the poor usability of price transparency directories on hospital websites limits information access and undermines transparency efforts.

Indexed as

health economicshealth equityhealth policyprice transparency

Identifiers

PMID36111322
PMCPMC9469800

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Registered trials

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