The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
A Comparison of Burnout Frequency Among Oncology Physicians and Nurses Working on the Frontline and Usual Wards During the COVID-19 Epidemic in Wuhan, China
Open accessAbstract
Context The epidemic of coronavirus disease 2019 (COVID-19) was first identified in Wuhan, China and has now spread worldwide. In the affected countries, physicians and nurses are under heavy workload conditions and are at high risk of infection. Objectives The aim of this study was to compare the frequency of burnout between physicians and nurses on the frontline (FL) wards and those working in usual wards (UWs). Methods A survey with a total of 49 questions was administered to 220 medical staff members from the COVID-19 FL and UWs, with a ratio of 1:1. General information, such as age, gender, marriage status, and the Maslach Burnout Inventory—medical personnel, were gathered and compared. Results The group working on the FLs had a lower frequency of burnout (13% vs. 39%; P < 0.0001) and were less worried about being infected compared with the UW group. Conclusion Compared with medical staff working on their UWs for uninfected patients, medical staff working on the COVID-19 FL ward had a lower frequency of burnout. These results suggest that in the face of the COVID-19 crisis, both FL ward and UW staff should be considered when policies and procedures to support the well-being of health care workers are devised.
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.
Integrity signals
Registry
Cites
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.
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
1 retracted
Kamal, A. H., Bull, J. H., Wolf, S. P., Swetz, K. M., Shanafelt, T. D., Ast, K., Kavalieratos, D., Sinclair, C. T., & Abernethy, A. P. (2016) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2015.10.020 · Cited by 169
RetractedThe measurement of experienced burnout
Maslach, C., & Jackson, S. E. (1981) · Journal of Organizational Behavior · doi:10.1002/job.4030020205 · Cited by 14,496
Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China
Liang, W., Guan, W., Chen, R., Wang, W., Li, J., Xu, K., Li, C., Ai, Q., Lu, W., Liang, H., et al. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(20)30096-6 · Cited by 4,384
Shanafelt, T. D., Boone, S., Tan, L., Dyrbye, L. N., Sotile, W., Satele, D., West, C. P., Sloan, J., & Oreskovich, M. R. (2012) · Archives of Internal Medicine · doi:10.1001/archinternmed.2012.3199 · Cited by 3,439
Shanafelt, T. D., Hasan, O., Dyrbye, L. N., Sinsky, C., Satele, D., Sloan, J., & West, C. P. (2015) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2015.08.023 · Cited by 2,885
Physician burnout: contributors, consequences and solutions
West, C. P., Dyrbye, L. N., & Shanafelt, T. D. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12752 · Cited by 2,768
Mental health care for medical staff in China during the COVID-19 outbreak
Chen, Q., Liang, M., Li, Y., Guo, J., Fei, D., Wang, L., He, L., Sheng, C., Cai, Y., Li, X., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30078-x · Cited by 2,233
Self-citationReport of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19)
Gomes, C. A. (2020) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 2,134
Burnout and Medical Errors Among American Surgeons
Shanafelt, T. D., Balch, C. M., Bechamps, G., Russell, T., Dyrbye, L., Satele, D., Collicott, P., Novotny, P. J., Sloan, J., & Freischlag, J. (2010) · Annals of Surgery · doi:10.1097/sla.0b013e3181bfdab3 · Cited by 2,099
The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus.
Kang, L., Li, Y., Hu, S., Chen, M., Yang, C., Yang, B. X., Wang, Y., Hu, J., Lai, J., Ma, X., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30047-x · Cited by 2,061
Self-citation
Cited by
Epidemiology of mental health problems in COVID-19: a review
Hossain, M. M., Tasnim, S., Sultana, A., Faizah, F., Mazumder, H., Zou, L., McKyer, E. L. J., Ahmed, H. U., & Ma, P. (2020) · F1000Research · doi:10.12688/f1000research.24457.1 · Cited by 1,081
De Kock, J. H., Latham, H. A., Leslie, S. J., Grindle, M., Munoz, S.-A., Ellis, L., Polson, R., & O’Malley, C. M. (2021) · BMC Public Health · doi:10.1186/s12889-020-10070-3 · Cited by 940
Labrague, L. J., & Santos, J. A. A. (2021) · Journal of Nursing Management · doi:10.1111/jonm.13168 · Cited by 882
Burnout: A Review of Theory and Measurement
Edú-Valsania, S., Laguía, A., & Moriano, J. A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031780 · Cited by 845
Ruiz‐Fernández, M. D., Ramos‐Pichardo, J. D., Ibáñez‐Masero, O., Cabrera‐Troya, J., Carmona‐Rega, M. I., & Ortega‐Galán, Á. M. (2020) · Journal of Clinical Nursing · doi:10.1111/jocn.15469 · Cited by 514
Metadata
- Authors
- Wu, Y., Wang, J., Luo, C., Hu, S., Lin, X., Anderson, A. E., Bruera, E., Yang, X., Wei, S., & Qian, Y.
- Venue
- Journal of Pain and Symptom Management
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 60
- Issue
- 1
- Pages
- e60-e65
- ISSN
- 0885-3924 (ISSN-L)
- OpenAlex
- W3016122910
- Cited by
- 567
- References
- 43
- FWCI
- 119.16
- 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: A Comparison of Burnout Frequency Among Oncology Physicians and Nurses Working on the Frontline and Usual Wards During the COVID-19 Epidemic in Wuhan, China. https://app.cochat.ai/papers/10.1016/j.jpainsymman.2020.04.008
- The paper
- Wu, Y., Wang, J., Luo, C., Hu, S., Lin, X., Anderson, A. E., Bruera, E., Yang, X., Wei, S., & Qian, Y. (2020). A Comparison of Burnout Frequency Among Oncology Physicians and Nurses Working on the Frontline and Usual Wards During the COVID-19 Epidemic in Wuhan, China. Journal of Pain and Symptom Management. https://doi.org/10.1016/j.jpainsymman.2020.04.008
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.