Evidence map›Paper›PMID 36865121›Full record

ArticleResearch square2023

Serious Illness Communication Skills Training for Emergency Physicians and Advanced Practice Providers: A Multi-Method Assessment of the Reach and Effectiveness of the Intervention.

Oluwaseun Adeyemi, Alexander D Ginsburg, Regina Kaur, Allison Cuthel, Nicole Zhao, Nina Siman, Keith Goldfeld, Lillian Liang Emlet, Charles DiMaggio, Rebecca Yamarik and 4 more

Registry-linked trialOpen access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03424109 (Primary Palliative Care for Emergency Medicine), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

NCT03424109 completednot on this map

Primary Palliative Care for Emergency Medicine (PRIM-ER)

TypeobservationalSponsorNYU Langone HealthRan2019 to 2022Enrolled98,922ConditionsEmergenciesArmshealthcare service utilization in the six months following the ED visit
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 2 countries.

Oluwaseun AdeyemiNYU Grossman School of Medicine.
Alexander D GinsburgMayo Clinic.
Regina KaurCHI Saint Joseph Health.
Allison CuthelNYU Grossman School of Medicine.
Nicole ZhaoStony Brook University.
Nina SimanNYU Grossman School of Medicine.
Keith GoldfeldNYU Grossman School of Medicine.
Lillian Liang EmletUniversity of Pittsburgh Medical Center.
Charles DiMaggioNYU Grossman School of Medicine.
Rebecca YamarikVA Long Beach Healthcare System.
Jean-Baptiste Bouillon-MinoisCHU Clermont-Ferrand.
Joshua ChodoshNYU Grossman School of Medicine.
Corita R GrudzenMemorial Sloan Kettering Cancer Center.
PRIM-ER Investigators
New York University · USCentre Hospitalier Universitaire de Clermont-Ferrand · FRMemorial Sloan Kettering Cancer Center · USSt. Joseph Health System · USStony Brook University · USThe Ohio State University Wexner Medical Center · USUniversity of Pittsburgh Medical Center · USVA Long Beach Healthcare System · USWinnMed · US

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
NIH Health Care Systems Research Collaboratory-Coordinating Center (U24)U24AT009676 · NCCIH · DUKE UNIVERSITY · PI LESLEY H CURTIS, Adrian Hernandez · 2017 to 2026
$21.5M
Primary Palliative Care for Emergency MedicineUH3AT009844 · NCCIH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GOLDFELD, KEITH, GRUDZEN, CORITA R · 2019 to 2022
$7.9M
Primary Palliative Care for Emergency MedicineUG3AT009844 · NCCIH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GRUDZEN, CORITA R · 2018 to 2018
$984k
NCCIH NIH HHS U24 AT009676NCCIH NIH HHS UG3 AT009844NCCIH NIH HHS UH3 AT009844NIA NIH HHS P30 AG066512
6 · The paper itself

Abstract

Background: EM Talk is a communication skills training program designed to improve emergency providers' serious illness conversational skills. Using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, this study aims to assess the reach of EM Talk and its effectiveness. Methods: EM Talk is one of the components of Primary Palliative Care for Emergency Medicine (EM) intervention. It consisted of one 4-hour training session during which professional actors used role-plays and active learning to train providers to deliver serious/bad news, express empathy, explore patients' goals, and formulate care plans. After the training, emergency providers filled out an optional post-intervention survey, which included course reflections. Using a multi-method analytical approach, we analyzed the reach of the intervention quantitatively and the effectiveness of the intervention qualitatively using conceptual content analysis of open-ended responses. Results: A total of 879 out of 1,029 (85%) EM providers across 33 emergency departments completed the EM Talk training, with the training rate ranging from 63-100%. From the 326 reflections, we identified meaning units across the thematic domains of improved knowledge, attitude, and practice. The main subthemes across the three domains were the acquisition of discussion tips and tricks, improved attitude toward engaging qualifying patients in serious illness (SI) conversations, and commitment to using these learned skills in clinical practice. Conclusion: Effectively engaging qualifying patients in serious illness conversations requires appropriate communication skills. EM Talk has the potential to improve emergency providers' knowledge, attitude, and practice of SI communication skills. Trial registration: NCT03424109.

Indexed as

CommunicationEducation and trainingEmergency medicinePalliative Care

Identifiers

PMID36865121
PMCPMC9980220
OpenAlexW4321365934

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.