Evidence map›Paper›PMID 36266644›Full record

ArticleBMC medical education2022

Overwork among resident physicians: national questionnaire survey results.

Masatoshi Ishikawa

Abstract read
In one paragraph

Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

1 author.

Masatoshi IshikawaFaculty of Medicine, University of Tsukuba, 1 Chome-1-1 Tennodai, 305-8577, Tsukuba, Ibaraki, Japan. masa.ishikawa1221@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResidents experience the longest working hours among physicians. Thus, it would be beneficial to perform a nationwide survey in Japan on residents' long work hours and the background factors promoting upper limits on working hours of Japanese residents. The aim of this study was to study or assess the state of physicians' excessive work hours and its background factors using a questionnaire survey.

methodsThe survey was sent to 924 hospitals. The physicians' general attributes, work hours and conditions, and employers' foundational entities were explored. Multiple logistic regression analysis was performed to elucidate the background factors for long work hours.

resultsOf the 4306 resident physicians who responded, 67% had ≥ 60 in-hospital hours/week and 27% had ≥ 80 h/week; 51% were on-call ≥ four times/month. Many of them hoped for increased remuneration. Additionally, female (reference: male, OR: 0.65, 95% CI: 0.55-0.76), 35-40 years old (reference: 25-30 years old, OR: 1.83, 95% CI: 1.32-2.54), childlessness (reference: child, OR: 1.41, 95% CI: 1.12-1.75), surgical specialization (reference: internal medicine, OR: 2.51, 95% CI: 1.96-3.23), neurosurgical specialization (reference: internal medicine, OR: 4.38, 95% CI: 2.92-6.59) and hospitals with 200-400 physicians (reference: <100 physicians, OR: 1.82, 95% CI: 1.12-2.96) exhibited significant correlations with ≥ 80 in-hospital hours/week.

conclusionUnderstanding the factors that increase the likelihood of residents working very long hours could aid in making targeted changes to address the specific concerns. Moreover, reducing working hours to a reasonable limit can improve resident physicians' health and the quality of care they provide in their community.

Indexed as

Internship and ResidencyPhysiciansAdultFemaleHumansInternal MedicineJapanMaleSurveys and QuestionnairesWorkloadBurnoutJapanPhysiciansQuestionnaire surveyWork hours

Identifiers

PMID36266644
PMCPMC9584270

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.