Evidence map›Paper›PMID 31992301›Full record

Trial reportBMC medical informatics and decision making2020

Design and implementation of a clinical decision support tool for primary palliative Care for Emergency Medicine (PRIM-ER).

Audrey Tan, Mark Durbin, Frank R Chung, Ada L Rubin, Allison M Cuthel, Jordan A McQuilkin, Aram S Modrek, Catherine Jamin, Nicholas Gavin, Devin Mann and 6 more

Registry-linked trialOpen access · goldAbstract readPragmatic Clinical Trial
In one paragraph

Trial report in BMC medical informatics and decision making, 2020. 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. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
8.5field-weighted citation impact, top 2% 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.

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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

16 authors at 3 institutions in 1 country.

Audrey TanRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA. Audrey.Tan@nyulangone.org.ORCID http://orcid.org/0000-0001-6497-5913
Mark DurbinNYU Langone Health, Medical Center Information Technology, New York, NY, USA.
Frank R ChungRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Ada L RubinRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Allison M CuthelRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Jordan A McQuilkinRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Aram S ModrekRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Catherine JaminRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Nicholas GavinDepartment of Emergency Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Devin MannNYU Langone Health, Medical Center Information Technology, New York, NY, USA.
Jordan L SwartzRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Jonathan S AustrianRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Paul A TestaRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Jacob D HillRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Corita R GrudzenRonald O. Perelman Department of Emergency Medicine, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, USA.
Group Authorship: Corita R. Grudzen on behalf of the PRIM-ER Clinical Informatics Advisory Board
New York University · USNYU Langone Health · USColumbia University · US

Funding

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
Foundation for the National Institutes of Health AT009844-01NCCIH NIH HHS UG3 AT009844NCCIH NIH HHS UH3 AT009844
6 · The paper itself

Abstract

backgroundThe emergency department is a critical juncture in the trajectory of care of patients with serious, life-limiting illness. Implementation of a clinical decision support (CDS) tool automates identification of older adults who may benefit from palliative care instead of relying upon providers to identify such patients, thus improving quality of care by assisting providers with adhering to guidelines. The Primary Palliative Care for Emergency Medicine (PRIM-ER) study aims to optimize the use of the electronic health record by creating a CDS tool to identify high risk patients most likely to benefit from primary palliative care and provide point-of-care clinical recommendations.

methodsA clinical decision support tool entitled Emergency Department Supportive Care Clinical Decision Support (Support-ED) was developed as part of an institutionally-sponsored value based medicine initiative at the Ronald O. Perelman Department of Emergency Medicine at NYU Langone Health. A multidisciplinary approach was used to develop Support-ED including: a scoping review of ED palliative care screening tools; launch of a workgroup to identify patient screening criteria and appropriate referral services; initial design and usability testing via the standard System Usability Scale questionnaire, education of the ED workforce on the Support-ED background, purpose and use, and; creation of a dashboard for monitoring and feedback.

resultsThe scoping review identified the Palliative Care and Rapid Emergency Screening (P-CaRES) survey as a validated instrument in which to adapt and apply for the creation of the CDS tool. The multidisciplinary workshops identified two primary objectives of the CDS: to identify patients with indicators of serious life limiting illness, and to assist with referrals to services such as palliative care or social work. Additionally, the iterative design process yielded three specific patient scenarios that trigger a clinical alert to fire, including: 1) when an advance care planning document was present, 2) when a patient had a previous disposition to hospice, and 3) when historical and/or current clinical data points identify a serious life-limiting illness without an advance care planning document present. Monitoring and feedback indicated a need for several modifications to improve CDS functionality.

conclusionsCDS can be an effective tool in the implementation of primary palliative care quality improvement best practices. Health systems should thoughtfully consider tailoring their CDSs in order to adapt to their unique workflows and environments. The findings of this research can assist health systems in effectively integrating a primary palliative care CDS system seamlessly into their processes of care.

trial registrationClinicalTrials.gov Identifier: NCT03424109. Registered 6 February 2018, Grant Number: AT009844-01.

Indexed as

Palliative CareReferral and ConsultationSoftware DesignWorkflowDecision Support Systems, ClinicalEmergency MedicineEmergency Service, HospitalHumansNew YorkQuality of Health CareClinical decision supportElectronic health recordsEmergency medicinePalliative careQuality improvement

Identifiers

PMID31992301
PMCPMC6988238
OpenAlexW3013605153

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.