Evidence map›Paper›PMID 38594615›Full record

Observational studyBMC emergency medicine2024

How much time do emergency department physicians spend on medication-related tasks? A time- and-motion study.

Tine Johnsgård, Renate Elenjord, Renata Vesela Holis, Marit Waaseth, Birgitte Zahl-Holmstad, Marie Fagerli, Kristian Svendsen, Elin Christina Lehnbom, Eirik Hugaas Ofstad, Torsten Risør and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
  4. 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

11 authors at 3 institutions in 2 countries.

Tine JohnsgårdHospital Pharmacy of North Norway Trust, Tromsø, Norway. tine.johnsgard@uit.no.
Renate ElenjordHospital Pharmacy of North Norway Trust, Tromsø, Norway.
Renata Vesela HolisHospital Pharmacy of North Norway Trust, Tromsø, Norway.
Marit WaasethDepartment of Pharmacy, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway.
Birgitte Zahl-HolmstadHospital Pharmacy of North Norway Trust, Tromsø, Norway.
Marie FagerliDepartment of Pharmacy, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway.
Kristian SvendsenDepartment of Pharmacy, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway.
Elin Christina LehnbomDepartment of Pharmacy, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway.
Eirik Hugaas OfstadDepartment of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway.
Torsten RisørDepartment of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway.
Beate Hennie GarciaHospital Pharmacy of North Norway Trust, Tromsø, Norway.
UiT The Arctic University of Norway · NOHospital Pharmacy of North Norway TrustNordland Hospital Trust · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication-related problems are an important cause of emergency department (ED) visits, and medication errors are reported in up to 60% of ED patients. Procedures such as medication reconciliation and medication review can identify and prevent medication-related problems and medication errors. However, this work is often time-consuming. In EDs without pharmacists, medication reconciliation is the physician's responsibility, in addition to the primary assignments of examining and diagnosing the patient. The aim of this study was to identify how much time ED physicians spend on medication-related tasks when no pharmacists are present in the EDs.

methodsAn observational time-and-motion study of physicians in three EDs in Northern Norway was conducted using Work Observation Method by Activity Timing (WOMBAT) to collect and time-stamp data. Observations were conducted in predefined two-hour observation sessions with a 1:1 relationship between observer and participant, during Monday to Friday between 8 am and 8 pm, from November 2020 to October 2021.

resultsIn total, 386 h of observations were collected during 225 observation sessions. A total of 8.7% of the physicians' work time was spent on medication-related tasks, of which most time was spent on oral communication about medications with other physicians (3.0%) and medication-related documentation (3.2%). Physicians spent 2.2 min per hour on medication reconciliation tasks, which includes retrieving medication-related information directly from the patient, reading/retrieving written medication-related information, and medication-related documentation. Physicians spent 85.6% of the observed time on non-medication-related clinical or administrative tasks, and the remaining time was spent standby or moving between tasks.

conclusionIn three Norwegian EDs, physicians spent 8.7% of their work time on medication-related tasks, and 85.6% on other clinical or administrative tasks. Physicians spent 2.2 min per hour on tasks related to medication reconciliation. We worry that patient safety related tasks in the EDs receive little attention. Allocating dedicated resources like pharmacists to contribute with medication-related tasks could benefit both physicians and patients.

Indexed as

PhysiciansEmergency Service, HospitalHumansMedication ErrorsPatient SafetyTime and Motion StudiesEmergency departmentMedication errorsMedication reconciliationObservationsPhysiciansTimeWorkflow

Identifiers

PMID38594615
PMCPMC11003058
OpenAlexW4394606837

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.