Evidence map›Paper›PMID 36936723›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2022

Individualized Out-of-Pocket Price Estimators for "Shoppable" Surgical Procedures: A Nationwide Cross-Sectional Study of US Hospitals.

Nicholas L Berlin, Zoey Chopra, Arrice Bryant, Josh Agius, Simone R Singh, Karan R Chhabra, Paul Schulz, Brady T West, Andrew M Ryan, Jeffrey T Kullgren

Open access · goldAbstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Price Transparency and Patient Empowerment.Health care analysis : HCA : journal of health philosophy and policy · 2026
    Article
  2. Improving postoperative length of stay forecasting with retrieval-augmented prediction.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  3. Article
  4. Article
  5. 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

10 authors at 2 institutions in 1 country.

Nicholas L BerlinNational Clinician Scholars Program, University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI.
Zoey ChopraUniversity of Michigan Medical School, Ann Arbor, MI.
Arrice BryantUniversity of Michigan Medical School, Ann Arbor, MI.
Josh AgiusUniversity of Michigan, Ann Arbor, MI.
Simone R SinghSchool of Public Health, University of Michigan, Ann Arbor, MI.
Karan R ChhabraDepartment of Surgery, Brigham and Women's Hospital, Boston, MA.
Paul SchulzInstitute for Social Research, University of Michigan, Ann Arbor, MI.
Brady T WestInstitute for Social Research, University of Michigan, Ann Arbor, MI.
Andrew M RyanSchool of Public Health, University of Michigan, Ann Arbor, MI.
Jeffrey T KullgrenSchool of Public Health, University of Michigan, Ann Arbor, MI.
University of Michigan–Ann Arbor · USBrigham and Women's Hospital · US

Funding

Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
NICHD NIH HHS P2C HD041028
6 · The paper itself

Abstract

To estimate the nationwide prevalence of individualized out-of-pocket (OOP) price estimators at US hospitals, characterize patterns of inclusion of 14 specified "shoppable" surgical procedures, and determine hospital-level characteristics associated with estimators that include surgical procedures. Background: Price transparency for shoppable surgical services is a key requirement of several recent federal policies, yet the extent to which hospitals provide online OOP price estimators remains unknown. Methods: We reviewed a stratified random sample of 485 U.S. hospitals for the presence of a tool to allow patients to estimate individualized OOP expenses for healthcare services. We compared characteristics of hospitals that did and did not offer online price estimators and performed multivariable modeling to identify facility-level predictors of hospitals offering price estimator with and without surgical procedures. Results: Nearly two-thirds (66.0%) of hospitals in the final sample (95% confidence interval 61.6%-70.1%) offered an online tool for estimating OOP healthcare expenses. Approximately 58.5% of hospitals included at least one shoppable surgical procedure while around 6.6% of hospitals included all 14 surgical procedures. The most common price reported was laparoscopic cholecystectomy (55.1%), and the least common was recurrent cataract removal (20.0%). Inclusion of surgical procedures varied by total annual surgical volume and health system membership. Only 26.9% of estimators explicitly included professional fees. Conclusions: Our findings highlight an ongoing progress in price transparency, as well as key areas for improvement in future policies to help patients make more financially informed decisions about their surgical care.

Indexed as

financial toxicityhealth care costshealth spendingout of pocket costs

Identifiers

PMID36936723
PMCPMC10013173
OpenAlexW4225376132

What OpenQuestion holds

Textmetadata
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.