Evidence map›Paper›PMID 37248731›Full record

ArticleMedical science monitor basic research2023

Anxiety and Depression Survey and Analysis of Hospital Staff in a Designated Hospital in Shannan City During the COVID-19 Pandemic.

Peijin Zhang, Liling Tang, Deji Ciren

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor basic research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Peijin ZhangDepartment of Healthcare-Associated Infection Management, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China (mainland).
Liling TangDepartment of Healthcare-Associated Infection Management, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China (mainland).
Deji CirenDepartment of Healthcare-Associated Infection and Quality Management, Shannan People's Hospital, Shannan, Tibet Autonomous Region, China (mainland).
First Affiliated Hospital of Wannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aim of this study was to evaluate the psychological status of anxiety and depression of hospital staff in the designated hospital in the city of Shannan during the COVID-19 pandemic in order to provide a theoretical basis for effective psychological intervention. MATERIAL AND METHODS A cross-sectional survey was performed from September 10 to 16, 2022, by administering an online questionnaire to the hospital staff on duty in the hospital. We collected participants' demographic and general information. The Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) were used to investigate the anxiety and depression of hospital staff. RESULTS Among 267 hospital staff, anxiety was found in 98 individuals, with a prevalence of 36.70%. Depression was found in 170 individuals, with a prevalence of 63.67%. Anxiety combined with depression was found in 84 individuals, with a prevalence of 31.46%. The prevalence of depression was higher in women, Tibetan personnel, hospital staff with primary or lower titles, staff without career establishment, and non-aid Tibetan personnel, and the differences were all statistically significant (P.

Indexed as

COVID-19AnxietyCross-Sectional StudiesFemaleHospitalsHumansPandemicsPersonnel, HospitalSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID37248731
PMCPMC10204610
OpenAlexW4377027696

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.