Evidence map›Paper›PMID 31210865›Full record

ArticleJournal of graduate medical education2019

Use of a Real-Time Location System to Understand Resident Location in an Academic Medical Center.

Travis D'Souza, Michael Rosen, Amanda K Bertram, Ariella Apfel, Sanjay V Desai, Brian T Garibaldi

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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.

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, 1 synthesis or guideline pooled it.

  1. A systematic review of evidence-based practices for clinical education and health care delivery in the clinical teaching unit.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022
    Pooled it
  2. Article
  3. Article
  4. Observational
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

6 authors.

Travis D'Souza
Michael Rosen
Amanda K Bertram
Ariella Apfel
Sanjay V Desai
Brian T Garibaldi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is great interest in understanding how residents spend their time in the hospital, but traditional time and motion studies are resource intensive and limited in scale.

objectiveWe determined whether a real-time location system (RTLS) that uses infrared emitting badges can be used to track resident time and location.

methodsResidents rotating on an internal medicine service in January 2018 were given the option to wear an RTLS badge. RTLS data were compared to the call schedule for each participating resident in a deidentified manner. Rules were created to identify work periods to be manually reviewed for data integrity. Reviewed work periods where there were extended periods of time without RTLS badge movement (eg, greater than 300 minutes) were excluded from analysis.

resultsData were collected from 18 residents and included 236 work periods (2922 hours). Based on prespecified rules, 146 work periods were included, representing 83% of total eligible residents (n = 15) and 82% of total hours recorded (2397 hours). Residents spent the highest percentage of their time in physician workrooms (44%, SD 15%), followed by ward hallways (25%, SD 7%) and patient rooms (17%, SD 7%). Several work periods were excluded because residents left their RTLS badge in physician workrooms after the work period ended.

conclusionsThis study demonstrates the potential utility of RTLS to measure resident time and location in the hospital.

Indexed as

Internship and ResidencyTime and Motion StudiesAcademic Medical CentersHumansInternal MedicineMarylandPatients' RoomsPhysiciansRemote Sensing Technology

Identifiers

PMID31210865
PMCPMC6570446

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.