Evidence map›Paper›PMID 32028420›Full record

ArticleMedicine2020

Assessment of mental health among nursing staff at different levels.

Man-Li Du, Wan-Xin Deng, Wen Sun, Ching-Wen Chien, Tao-Hsin Tung, Xin-Chun Zou

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 19 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

6 authors at 2 institutions in 2 countries.

Man-Li DuHuadu District of Guangzhou Maternal and Child Health Hospital (Huzhong Hospital), Guangzhou, China.
Wan-Xin DengHuadu District of Guangzhou Maternal and Child Health Hospital (Huzhong Hospital), Guangzhou, China.
Wen SunHuadu District of Guangzhou Maternal and Child Health Hospital (Huzhong Hospital), Guangzhou, China.
Ching-Wen ChienInstitute for Hospital Management, Tsing Hua University, Shenzhen Campus, China.
Tao-Hsin TungDepartment of Medical Research and Education, Cheng-Hsin General Hospital, Taipei, Taiwan.
Xin-Chun ZouThe Affiliated Stomatology Hospital of Kunming Medical University, Kunming City, China.
Cheng Hsin General Hospital · TWStomatology Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess the mental health of nurses and to find the post responsibility and psychological status of clinical nurses.A total of 447 nursing staff at different levels in a teaching hospital was assessed by nursing post responsibility scale and mental symptom checklist (SCL-90) then compared with each other. The study period was from April 1, 2018 to April 30, 2018.There was a positive correlation between the responsibility of post and interpersonal relationship (r = 0.11, P < .05), depression (r = 0.10, P < .05) and hostility (r = 0.10, P < .05). Post risk was negatively correlated with somatization (r = -0.10, P < .05), job involvement scope and communication ability were negatively correlated (r = -0.11, P < .05). Based on the multiple linear regression, knowledge and skills (β = -0.20, P = .02) and risks of the post (β=0.20, P < .01) both significantly related to SCL-90 total score.In conclusion, knowledge and skills and risks of the post associated with mental health of clinical nurses. The sustainable development of nursing post responsibility requires healthy physiological and mental health.

Indexed as

ChinaHospitals, TeachingHumansMental DisordersNursing Staff, HospitalOccupational DiseasesPsychiatric Status Rating ScalesRisk Factors

Identifiers

PMID32028420
PMCPMC7015557
OpenAlexW3004545910

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.