Evidence map›Paper›PMID 24276844›Full record

ArticlePediatrics2013

Telemedicine consultations and medication errors in rural emergency departments.

Madan Dharmar, Nathan Kuppermann, Patrick S Romano, Nikki H Yang, Thomas S Nesbitt, Jennifer Phan, Cynthia Nguyen, Kourosh Parsapour, James P Marcin

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
8.0field-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.

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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
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  6. Trial
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  9. Review
  10. Article
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  13. The role of telehealth in pediatric emergency care.Journal of the American College of Emergency Physicians open · 2023
    Article
  14. Pediatric Telehealth Use in U.S. Emergency Departments in 2019.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023
    Article
  15. Observational
  16. Article
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  18. Telehealth in emergency medicine: A consensus conference to map the intersection of telehealth and emergency medicine.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021
    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

9 authors at 5 institutions in 1 country.

Madan DharmarMBBS, Department of Pediatrics, University of California Davis Children's Hospital, 4610 X St, Suite 2310, Sacramento, CA 95817. mdharmar@ucdavis.edu.
Nathan Kuppermann
Patrick S Romano
Nikki H Yang
Thomas S Nesbitt
Jennifer Phan
Cynthia Nguyen
Kourosh Parsapour
James P Marcin
Pediatrics and Genetics · USCenter For Policy Research · USUniversity of California, Davis · USUniversity of California, Irvine · USUniversity of California, San Francisco · US

Funding

Factors Associated with Quality of Care Delivered to Children in US EDsR01HS019712 · AHRQ · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MARCIN, JAMES P · 2010 to 2012
$1.5M
Telemedicine for Children in Rural Emergency DepartmentsK08HS013179 · AHRQ · UNIVERSITY OF CALIFORNIA DAVIS · PI MARCIN, JAMES P · 2002 to 2006
$122k
AHRQ HHS 1 K08 HS 13179-01AHRQ HHS 5R01HS019712AHRQ HHS K08 HS013179AHRQ HHS R01 HS019712PHS HHS H34MC04367-01-00
6 · The paper itself

Abstract

objectiveTo compare the frequency of physician-related medication errors among seriously ill and injured children receiving telemedicine consultations, similar children receiving telephone consultations, and similar children receiving no consultations in rural emergency departments (EDs).

methodsWe conducted retrospective chart reviews on seriously ill and injured children presenting to 8 rural EDs with access to pediatric critical care physicians from an academic children's hospital. Physician-related ED medication errors were independently identified by 2 pediatric pharmacists by using a previously published instrument. The unit of analysis was medication administered. The association of telemedicine consultations with ED medication errors was modeled by using hierarchical logistic regression adjusting for covariates (age, risk of admission, year of consultation, and hospital) and clustering at the patient level.

resultsAmong the 234 patients in the study, 73 received telemedicine consultations, 85 received telephone consultations, and 76 received no specialist consultations. Medications for patients who received telemedicine consultations had significantly fewer physician-related errors than medications for patients who received telephone consultations or no consultations (3.4% vs. 10.8% and 12.5%, respectively; P < .05). In hierarchical logistic regression analysis, medications for patients who received telemedicine consultations had a lower odds of physician-related errors than medications for patients who received telephone consultations (odds ratio: 0.19, P < .05) or no consultations (odds ratio: 0.13, P < .05).

conclusionsPediatric critical care telemedicine consultations were associated with a significantly reduced risk of physician-related ED medication errors among seriously ill and injured children in rural EDs.

Indexed as

CaliforniaChildChild, PreschoolEmergency Service, HospitalFemaleHumansInfantInfant, NewbornLogistic ModelsMaleMedication ErrorsOutcome and Process Assessment, Health CareRemote ConsultationRetrospective StudiesRural Health ServicesTelemedicineemergency medicinehealth services researchmedication errorspatient safetypediatricsrural healthtelehealthtelemedicine

Identifiers

PMID24276844
PMCPMC9724646
OpenAlexW2008824635

What OpenQuestion holds

Textmetadata
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.