Evidence map›Paper›PMID 25188489›Full record

Trial reportSimulation in healthcare : journal of the Society for Simulation in Healthcare2014

Using simulation to assess the influence of race and insurer on shared decision making in periviable counseling.

Brownsyne Tucker Edmonds, Fatima McKenzie, William F Fadel, Marianne S Matthias, Michelle P Salyers, Amber E Barnato, Richard M Frankel

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Simulation in healthcare : journal of the Society for Simulation in Healthcare, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Development of a checklist for evaluation of shared decision-making in consultation for extremely preterm delivery.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Shared Decision Making With Vulnerable Populations in the Emergency Department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2016
    Article
  10. Article
  11. Article
  12. Offering induction of labor for 22-week premature rupture of membranes: a survey of obstetricians.Journal of perinatology : official journal of the California Perinatal Association · 2015
    Article
  13. Comparing obstetricians' and neonatologists' approaches to periviable counseling.Journal of perinatology : official journal of the California Perinatal Association · 2015
    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

7 authors at 4 institutions in 1 country.

Brownsyne Tucker EdmondsFrom the Departments of Obstetrics and Gynecology (B.T.E, F.M.), and Biostatistics (W.F.F.), Indiana University School of Medicine; Roudebush Veterans Affairs Medical Center (M.S.M.); Department of Psychology (M.P.S.), Indiana University-Purdue University Indianapolis; and Mary Margaret Walther Center for Research and Education in Palliative Care (R.M.F.), IU Simon Cancer Center, Indianapolis, IN; and Division of General Internal Medicine (A.E.B.), Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Fatima McKenzie
William F Fadel
Marianne S Matthias
Michelle P Salyers
Amber E Barnato
Richard M Frankel
Indiana University Health · USRichard L. Roudebush VA Medical Center · USMaine Farmland Trust · USWalther Cancer Foundation · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Indiana Clinical and Translational Science Institute-K12 ProgramKL2TR000163 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI SHEKHAR, ANANTHA · 2012 to 2013
$720k
NCATS NIH HHS KL2 TR000163NCATS NIH HHS UL1 TR001108
6 · The paper itself

Abstract

introductionSociodemographic differences have been observed in the treatment of extremely premature (periviable) neonates, but the source of this variation is not well understood. We assessed the feasibility of using simulation to test the effect of maternal race and insurance status on shared decision making (SDM) in periviable counseling.

methodsWe conducted a 2 × 2 factorial simulation experiment in which obstetricians and neonatologists counseled 2 consecutive standardized patients diagnosed with ruptured membranes at 23 weeks, counterbalancing race (black/white) and insurance status using random permutation. We assessed verisimilitude of the simulation in semistructured debriefing interviews. We coded physician communication related to resuscitation, mode of delivery, and steroid decisions using a 9-point SDM coding framework and then compared communication scores by standardized patient race and insurer using analysis of variance.

resultsSixteen obstetricians and 15 neonatologists participated; 71% were women, 84% were married, and 75% were parents; 91% of the physicians rated the simulation as highly realistic. Overall, SDM scores were relatively high, with means ranging from 6.4 to 7.9 (of 9). There was a statistically significant interaction between race and insurer for SDM related to steroid use and mode of delivery (P < 0.01 and P = 0.01, respectively). Between-group comparison revealed nonsignificant differences (P = <0.10) between the SDM scores for privately insured black patients versus privately insured white patients, Medicaid-insured white patients versus Medicaid-insured black patients, and privately insured black patients versus Medicaid-insured black patients.

conclusionsThis study confirms that simulation is a feasible method for studying sociodemographic effects on periviable counseling. Shared decision making may occur differentially based on patients' sociodemographic characteristics and deserves further study.

Indexed as

CounselingDecision MakingInfant, Extremely PrematureInsurance, HealthPatient SimulationRacial GroupsAdultAgedFemaleHealth Services AccessibilityHumansInfant CareInfant, NewbornMaleMedicaidMiddle Aged

Identifiers

PMID25188489
PMCPMC4268229
OpenAlexW2084194941

What OpenQuestion holds

Textmetadata
LicenceTDM
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.