Evidence map›Paper›PMID 28430829›Full record

Trial reportJAMA internal medicine2017

Effect of a Price Transparency Intervention in the Electronic Health Record on Clinician Ordering of Inpatient Laboratory Tests: The PRICE Randomized Clinical Trial.

Mina S Sedrak, Jennifer S Myers, Dylan S Small, Irving Nachamkin, Justin B Ziemba, Dana Murray, Gregory W Kurtzman, Jingsan Zhu, Wenli Wang, Deborah Mincarelli and 7 more

2 registry-linked trialsAbstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in JAMA internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

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.

NCT02355496 nacompletednot on this map

The Impact of Charge Displays on Inpatient Laboratory Test Ordering

TypeinterventionalSponsorUniversity of PennsylvaniaRan2015 to 2016Enrolled98,529ConditionsHealth BehaviorArmsDisplaying medicare fee data
NCT05787249 nacompletednot on this mapstarted 2023, after this paper: background citation

Improving Utilization of Supplemental Breast MRI Screening for Women With Extremely Dense Breasts

TypeinterventionalSponsorAbramson Cancer Center at Penn MedicineRan2023 to 2025Enrolled1,358ConditionsBreast CancerArmsPatient nudge, Provider nudge
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Price Transparency and Patient Empowerment.Health care analysis : HCA : journal of health philosophy and policy · 2026
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  19. Reducing Blood Loss by Changing to Small Volume Tubes for Laboratory Testing.Mayo Clinic proceedings. Innovations, quality & outcomes · 2021
    Article
  20. Patient-reported financial toxicity, quality of life, and health behaviors in insured US cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Mina S SedrakCity of Hope Comprehensive Cancer Center, Duarte, California.
Jennifer S MyersCenter for Healthcare Improvement & Patient Safety, University of Pennsylvania Health System, Philadelphia3University of Pennsylvania Health System, Philadelphia4Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Dylan S SmallThe Wharton School, University of Pennsylvania, Philadelphia.
Irving NachamkinUniversity of Pennsylvania Health System, Philadelphia4Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Justin B ZiembaBrady Urological Institute, Johns Hopkins School of Medicine, Baltimore, Maryland.
Dana MurrayUniversity of Pennsylvania Health System, Philadelphia.
Gregory W KurtzmanPerelman School of Medicine, University of Pennsylvania, Philadelphia 7The Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia.
Jingsan ZhuPerelman School of Medicine, University of Pennsylvania, Philadelphia.
Wenli WangPerelman School of Medicine, University of Pennsylvania, Philadelphia.
Deborah MincarelliUniversity of Pennsylvania Health System, Philadelphia.
Daniel DanoskiUniversity of Pennsylvania Health System, Philadelphia.
Brian P WellsUniversity of Pennsylvania Health System, Philadelphia.
Jeffrey S BernsUniversity of Pennsylvania Health System, Philadelphia4Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Patrick J BrennanUniversity of Pennsylvania Health System, Philadelphia4Perelman School of Medicine, University of Pennsylvania, Philadelphia.
C William HansonUniversity of Pennsylvania Health System, Philadelphia4Perelman School of Medicine, University of Pennsylvania, Philadelphia.
C Jessica DineUniversity of Pennsylvania Health System, Philadelphia4Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Mitesh S PatelUniversity of Pennsylvania Health System, Philadelphia4Perelman School of Medicine, University of Pennsylvania, Philadelphia 5The Wharton School, University of Pennsylvania, Philadelphia 7The Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia 8Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Many health systems are considering increasing price transparency at the time of order entry. However, evidence of its impact on clinician ordering behavior is inconsistent and limited to single-site evaluations of shorter duration. Objective: To test the effect of displaying Medicare allowable fees for inpatient laboratory tests on clinician ordering behavior over 1 year. Design, Setting, and Participants: The Pragmatic Randomized Introduction of Cost data through the electronic health record (PRICE) trial was a randomized clinical trial comparing a 1-year intervention to a 1-year preintervention period, and adjusting for time trends and patient characteristics. The trial took place at 3 hospitals in Philadelphia between April 2014 and April 2016 and included 98 529 patients comprising 142 921 hospital admissions. Interventions: Inpatient laboratory test groups were randomly assigned to display Medicare allowable fees (30 in intervention) or not (30 in control) in the electronic health record. Main Outcomes and Measures: Primary outcome was the number of tests ordered per patient-day. Secondary outcomes were tests performed per patient-day and Medicare associated fees. Results: The sample included 142 921 hospital admissions representing patients who were 51.9% white (74 165), 38.9% black (55 526), and 56.9% female (81 291) with a mean (SD) age of 54.7 (19.0) years. Preintervention trends of order rates among the intervention and control groups were similar. In adjusted analyses of the intervention group compared with the control group over time, there were no significant changes in overall test ordering behavior (0.05 tests ordered per patient-day; 95% CI, -0.002 to 0.09; P = .06) or associated fees ($0.24 per patient-day; 95% CI, -$0.42 to $0.91; P = .47). Exploratory subset analyses found small but significant differences in tests ordered per patient-day based on patient intensive care unit (ICU) stay (patients with ICU stay: -0.16; 95% CI, -0.31 to -0.01; P = .04; patients without ICU stay: 0.13; 95% CI, 0.08-0.17; P < .001) and the magnitude of associated fees (top quartile of tests based on fee value: -0.01; 95% CI, -0.02 to -0.01; P = .04; bottom quartile: 0.03; 95% CI, 0.002-0.06; P = .04). Adjusted analyses of tests that were performed found a small but significant overall increase in the intervention group relative to the control group over time (0.08 tests performed per patient day, 95% CI, 0.03-0.12; P < .001). Conclusions and Relevance: Displaying Medicare allowable fees for inpatient laboratory tests did not lead to a significant change in overall clinician ordering behavior or associated fees. Trial Registration: clinicaltrials.gov Identifier: NCT02355496.

Indexed as

Attitude of Health PersonnelClinical Laboratory TechniquesPractice Patterns, Physicians'Access to InformationAdultAgedClinical Decision-MakingCost-Benefit AnalysisElectronic Health RecordsFemaleHumansInpatientsLaboratories, HospitalMaleMedicareMiddle Aged

Identifiers

PMID28430829
PMCPMC5543323

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.