Evidence map›Paper›PMID 33682512›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

The Effect of Staggered Shift Scheduling Mode on Nurses in the COVID-19 Isolation Ward- A Cross Sectional Study.

Huang Lishan, Tang Li, Yu Lingna, Wu Yuelin, Huang Zixiang, Tian Xiaobo

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Huang LishanThe Spine Department, Orthopaedic Center, Guangdong Second Provincial General Hospital, Guang Zhou, Guangdong Province, China.
Tang LiNursing Department, Guangdong Second Provincial General Hospital, Guang Zhou, Guangdong Province,China.
Yu LingnaThe Spine Department, Orthopaedic Center, Guangdong Second Provincial General Hospital, Guang Zhou, Guangdong Province, China.
Wu YuelinThe Spine Department, Orthopaedic Center, Guangdong Second Provincial General Hospital, Guang Zhou, Guangdong Province, China.
Huang ZixiangThe Spine Department, Orthopaedic Center, Guangdong Second Provincial General Hospital, Guang Zhou, Guangdong Province, China.
Tian XiaoboThe Spine Department, Orthopaedic Center, Guangdong Second Provincial General Hospital, Guang Zhou, Guangdong Province, China.ORCID 0000-0001-7741-4744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to explore the rational use of nursing resources in the epidemic situation of COVID-19, we optimized the shift arrangement in COVID-19 isolation area and constructed a reasonable nursing schedule under the condition of limited human resources. Seventy-eight nurses were arranged in COVID-19 isolation area to work for 1 week according to 3 different shifts: 4 + 4 h, 6 h and 6 h (overlapping by 1 h). Through the form of questionnaire, the comprehensive job satisfaction of 3 different models were compared, and the nursing quality and the consumption of protective equipment under 3 different modes were analyzed. The results showed that the comprehensive job satisfaction and nursing quality of nurses in 6 h (overlapping by 1 h) shift mode were better than those in other shift modes, and the consumption of protective equipment was lower.

Indexed as

AdultCOVID-19Cross-Sectional StudiesFemaleHumansJob SatisfactionMaleNursing Staff, HospitalPersonnel Staffing and SchedulingTime FactorsWorkplaceWork Schedule ToleranceCOVID-19isolation wardoverlapping by 1 hscheduling modeswork satisfaction

Identifiers

PMID33682512
PMCPMC7944523

What OpenQuestion holds

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LicenceCC BY-NC
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.