Evidence map›Paper›PMID 31071605›Full record

ArticleThe Journal of surgical research2019

Does Preexisting Practice Modify How Video Games Recalibrate Physician Heuristics in Trauma Triage?

Shreyus S Kulkarni, Amber E Barnato, Matthew R Rosengart, Baruch Fischhoff, Derek C Angus, Donald M Yealy, David J Wallace, Deepika Mohan

Open access · hybridAbstract read
In one paragraph

Article in The Journal of surgical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Shreyus S KulkarniDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.
Amber E BarnatoThe Dartmouth Institute for Health Policy & Clinical Practice, Dartmouth University, Lebanon, New Hampshire.
Matthew R RosengartDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.
Baruch FischhoffDepartment of Engineering & Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Derek C AngusDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh Pennsylvania.
Donald M YealyDepartment of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
David J WallaceDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh Pennsylvania.
Deepika MohanDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh Pennsylvania. Electronic address: mohand@upmc.edu.
University of Pittsburgh · USCarnegie Mellon University · USDartmouth Institute for Health Policy and Clinical Practice · US

Funding

Multidisciplinary Training in Critical Care Outcomes ResearchT32HL007820 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Timothy D Girard, Jeremy M Kahn · 1996 to 2026
$6.4M
A novel intervention to make heuristics a source of power for physiciansDP2LM012339 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MOHAN, DEEPIKA · 2015 to 2015
$2.3M
NHLBI NIH HHS T32 HL007820NLM NIH HHS DP2 LM012339
6 · The paper itself

Abstract

backgroundA majority of severely injured patients fail to receive care at trauma centers (undertriage), in part, because of physician judgment. We previously developed two educational video games that reduced physicians' undertriage compared with control in two clinical trials. In this secondary analysis, we investigated heterogeneity of treatment effect of the interventions by assessing physicians' preexisting practice patterns in claims data. We hypothesized that physicians with high preexisting undertriage would benefit most from game-based training.

methodsUsing Medicare claims records from 2010 to 2015, we measured physicians' preexisting triage practices before their participation in one of two trials conducted in 2016 and 2017. We categorized physicians as having received game-based training versus control and noted their postintervention simulation triage performance in the trials. We used multivariable linear regression models to assess the heterogeneity of game-based training effect among physicians with high and low preexisting undertriage.

resultsOf the 394 eligible physicians from our trials, we identified 275 (70%) with claims for Medicare fee-for-service beneficiaries suffering severe injury between 2010 and 2015. On average, the physicians were 44 y old (SD 8.4) with 12 y (SD 8.2) of experience. We found significant interaction between preexisting practice and intervention efficacy (P = 0.04). Physicians with high undertriage before enrollment improved significantly with game-based training compared with the control (46% versus 63%, P < 0.001). Those with low preexisting undertriage did not (58% versus 56%, P = 0.76).

conclusionsUsing claims-based data, we found heterogeneity of treatment effect of interventions designed to recalibrate physician heuristics. Physicians with high preexisting undertriage benefited most from game-based training.

Indexed as

HeuristicsAdultClinical Decision-MakingEducation, Medical, ContinuingEmergency Service, HospitalFeasibility StudiesFemaleHumansMaleMedicareMiddle AgedPhysiciansProfessional PracticeProgram EvaluationTrauma CentersTriageBehavioral interventionHeuristicsSerious video gameTraumaTriage

Identifiers

PMID31071605
PMCPMC6913034
OpenAlexW2944403221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.