Evidence map›Paper›PMID 36408479›Full record

ArticleQatar medical journal2022

Urology Residents' Perspectives on the In-House On-Call Systems: A Study in an Accredited Academic Center.

Ibrahim A Khalil, Tarek Ibrahim, Maya Aldeeb, Ahmed Mohamed, Rym Ben Salah, Omar M Aboumarzouk, Abdulla Al-Naimi

Abstract read
In one paragraph

Article in Qatar medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Ibrahim A KhalilDepartment of Urology, Hamad medical corporation, Doha, Qatar E-mail: Ikhalil1@hamad.qa.
Tarek IbrahimDepartment of Urology, Hamad medical corporation, Doha, Qatar E-mail: Ikhalil1@hamad.qa.
Maya AldeebDepartment of Medical Education, Family Medicine Residency Program, Hamad Medical Corporation, Doha, Qatar.
Ahmed MohamedDepartment of Urology, Hamad medical corporation, Doha, Qatar E-mail: Ikhalil1@hamad.qa.
Rym Ben SalahDepartment of Urology, Hamad medical corporation, Doha, Qatar E-mail: Ikhalil1@hamad.qa.
Omar M Aboumarzouk
Abdulla Al-NaimiDepartment of Urology, Hamad medical corporation, Doha, Qatar E-mail: Ikhalil1@hamad.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMedical education and training are crucial in maintaining patients' safety and improving patient care quality. Multiple studies have evaluated the effects of restrictive policies on the resident's quality of life and education. Due to the compiling data and the fact that these trials evaluated programs with a substantial number of residents, it remains uncertain whether these conclusions can be extended to urology programs with a small number of residents. Multiple on-call systems have been adopted in residency programs across the world. This study evaluated the residents' quality of life, clinical experience, and education upon transitioning from 24-hour to 12-hour in-house on-call systems. METHODS AND MATERIALS: In this observational and questionnaire-based study, the effect of the transition from 24-hour to 12-hour in-house on-call systems was compared in terms of the resident's quality of life and education, surgical case volume, and working hours' rules compliance.

results

conclusionThe 12-hour system is a better alternative to the 24-hour system in terms of the resident's quality of life, education, surgical case volume, and compliance with duty hour rules.

Indexed as

12-hour on-call systemon-call systemspostgraduate trainingquality of lifeSurgical educationurology Residency program

Identifiers

PMID36408479
PMCPMC9653301

What OpenQuestion holds

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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.