Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 170

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Workload, burnout, and medical mistakes among physicians in China: A cross-sectional study

Open access
Wen, Jin, Cheng, Yongzhong, Hu, Xiuying, Yuan, Ping, Hao, Tianyou, Shi, Yingkang·2016·BioScience Trends

Abstract

The purpose of this study is to determine the prevalence of burnout among different grade hospitals and to examine if a relation exists between burnout and medical mistakes. A multi-center cross-sectional survey was conducted. Physicians were interviewed in hospitals from 10 provinces in China. Burnout was measured using the Chinese version of the Maslach Burnout Inventory-General Survey. Overall, 1,537 physicians were included in this study. Of these, 76.9% reported some burnout symptoms or serious burnout symptoms and 54.8% reported committing medical mistakes during the last year. 39.6%, 50.0%, and 59.5% of the respondents in primary, secondary, and tertiary hospitals respectively reported having made mistakes over the course of the previous year. Multivariate analysis demonstrated that being female was protective against medical mistakes (OR = 0.72, 95% CI: 0.58-0.89), whereas physician-reported 60 or more work hours per week (OR = 1.65, 95% CI: 1.22-2.22), and physicians who reported serious burnout (OR = 2.28, 95% CI: 1.63-3.17) were independently associated with higher incidence of medical mistakes. In conclusion, Chinese physicians reported high workloads, high rates of burnout and high medical mistakes. Physicians in tertiary hospitals were especially overworked and suffered the most serious burnout. Longer work hours per week, and burnout were the independent risk factors for medical mistakes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5582/bst.2015.01175

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Cited by

See all 170

Metadata

Authors
Wen, J., Cheng, Y., Hu, X., Yuan, P., Hao, T., & Shi, Y.
Venue
BioScience Trends
Published
2016
Volume
10
Issue
1
Pages
27-33
ISSN
  • 1881-7815 (ISSN-L)
  • 1881-7823
OpenAlex
W2300864016
Cited by
170
References
5
FWCI
19.19
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Workload, burnout, and medical mistakes among physicians in China: A cross-sectional study. https://app.cochat.ai/papers/10.5582/bst.2015.01175
The paper
Wen, J., Cheng, Y., Hu, X., Yuan, P., Hao, T., & Shi, Y. (2016). Workload, burnout, and medical mistakes among physicians in China: A cross-sectional study. BioScience Trends. https://doi.org/10.5582/bst.2015.01175

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.