Evidence map›Paper›PMID 36191302›Full record

ArticleJournal of nursing management2022

Nurse scheduling in COVID-19-designated hospitals in China: A nationwide cross-sectional survey.

Shanshan Liu, Cong Wang, Yan Jiang, Hongfei Ren, Ting Yu, Wei Cun, Zhibo Yang

Open access · greenAbstract read
In one paragraph

Article in Journal of nursing management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

7 authors at 2 institutions in 1 country.

Shanshan LiuEvidence-based Nursing Center, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Cong WangEvidence-based Nursing Center, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Yan JiangDepartment of Nursing, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Hongfei RenDepartment of Nursing, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Ting YuEvidence-based Nursing Center, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Wei CunEvidence-based Nursing Center, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Zhibo YangEvidence-based Nursing Center, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

National Natural Science Foundation of China 72174135
6 · The paper itself

Abstract

aimThis study aimed to investigate scheduling in COVID-19-designated hospitals, including working hours, rest days, adverse nursing outcomes and their relationship.

backgroundHospitals are at the forefront of COVID-19 prevention and control, and nurses are the main force on the frontline of the epidemic. Nursing shift is one of the most relevant and pressing issues for frontline nurses. However, there is a lack of national, large-sample surveys on scheduling and adverse nursing outcomes in COVID-19-designated hospitals.

methodsUsing a cross-sectional online survey, we used nurse-reported data to measure the characteristics of the work setting, samples and work schedule. A descriptive analysis was performed to assess the shift status and adverse outcomes of designated hospitals and frontline nurses. Logistic regression analysis was performed to determine the association between them.

resultsBasic data were collected from 217 departments of 69 COVID-19-designated hospitals in 31 provinces in China. Nurses in the severe isolation ward worked mainly for 4 h per shift, whereas those in the fever clinic and observation ward worked mainly for 6-8 h. Half of the nurses had only 1 day of rest per week. Long working hours, lack of adequate rest time and overtime can seriously affect the quality and safety of nurses' work, resulting in adverse outcomes. Frontline nurses hope that scheduling guarantees the time to rest while ensuring fairness.

conclusionsThe current evidence showed that frontline nurses were faced with long working hours, insufficient rest and overtime, which has a negative impact on nurse satisfaction, physical and mental health and quality of care. The government, hospitals and administrators still face many problems to overcome in their nursing schedules. IMPLICATIONS FOR NURSING MANAGEMENT: Governments and hospitals should take these factors, such as the work setting characteristics and demographic features of the frontline nurses, into account when selecting nurses to fight COVID-19. Nurses have different working hours in different types of coronavirus unit; therefore, nursing managers should consider the working environment and nursing schedule needs, and in the future, we should pay attention to the fairness of nurses while ensuring their rest.

Indexed as

COVID-19Nursing Staff, HospitalChinaCross-Sectional StudiesHospitalsHumansPersonnel Staffing and SchedulingSurveys and Questionnairesadverse nurse outcomesCOVID-19designated hospitalnursing scheduling

Identifiers

PMID36191302
PMCPMC9874521
OpenAlexW4300773017

What OpenQuestion holds

Textmetadata
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.