Evidence map›Paper›PMID 38026268›Full record

ArticleFrontiers in public health2023

The workload change and depression among emergency medical staff after the open policy during COVID-19: a cross-sectional survey in Shandong, China.

Baobao Feng, Hongjun Bian, Ke Zhang, Chong Meng, Xianwei Gong, Xueqiang Ma, Chunhua Su, Mingxiang Zhou, Jiarui Xu, Wei Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

13 authors at 5 institutions in 1 country.

Baobao FengDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Hongjun BianDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Ke ZhangDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Chong MengDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xianwei GongDepartment of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xueqiang MaDepartment of Emergency Internal Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chunhua SuDepartment of Emergency, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, China.
Mingxiang ZhouDepartment of Emergency, Shandong Public Health Clinical Center Affiliated to Shandong University, Jinan, China.
Jiarui XuDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Wei ZhangDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xingguo ZhangDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yi ZhouDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Deya ShangDepartment of Emergency, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Shandong First Medical University · CNShandong Provincial Hospital · CNQilu Hospital of Shandong University · CNQingdao University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the middle of December 2022, the Chinese government adjusted the lockdown policy on coronavirus disease 2019 (COVID-19), a large number of infected patients flooded into the emergency department. The emergency medical staff encountered significant working and mental stress while fighting the COVID-19 pandemic. We aimed to investigate the workload change, and the prevalence and associated factors for depression symptoms among emergency medical staff after the policy adjustment. Methods: We conducted a cross-sectional online survey of emergency medical staff who fought against COVID-19 in Shandong Province during January 16 to 31, 2023. The respondents' sociodemographic and work information were collected, and they were asked to complete the 9-item Patient Health Questionnaire (PHQ-9) then. Univariate and multivariate logistic regression analyses were applied to identify the potential associated factors for major depression. Results: Nine hundred and sixteen emergency medical personnel from 108 hospitals responded to this survey. The respondents' weekly working hours (53.65 ± 17.36 Conclusion: Emergency medical staff' workload had increased after the open policy announcement, which was strongly associated with a higher PHQ-9 scores, indicating a very high risk for major depression. Emergency medical staff working as doctors or with an intermediate title from grade-A tertiary hospitals had higher PHQ-9 scores, while COVID-19 infection and weekly working hours of 60 or more after the open policy were associated with higher PHQ-9 scores for those from grade-B tertiary hospitals. Hospital administrators should reinforce the importance of targeted emergency medical staff support during future outbreaks.

Indexed as

COVID-19AgedCommunicable Disease ControlCross-Sectional StudiesDepressionHumansMedical StaffPandemicsSARS-CoV-2WorkloadCOVID-19emergency medical staffopen policyoverloadPHQ-9

Identifiers

PMID38026268
PMCPMC10655007
OpenAlexW4388294187

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.