Evidence map›Paper›PMID 35628097›Full record

ArticleHealthcare (Basel, Switzerland)2022

Factors Affecting Nurses' Internal Transfer Intentions after the Introduction of COVID-19-Related Family Visiting Restrictions.

Yoshiko Kitamura, Hisao Nakai, Keiko Teranishi

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

3 authors at 1 institution in 1 country.

Yoshiko KitamuraSchool of Nursing, Kanazawa Medical University, 1-1 Uchinada, Kahoku 920-0265, Japan.
Hisao NakaiSchool of Nursing, Kanazawa Medical University, 1-1 Uchinada, Kahoku 920-0265, Japan.ORCID 0000-0001-9633-0255
Keiko TeranishiSchool of Nursing, Kanazawa Medical University, 1-1 Uchinada, Kahoku 920-0265, Japan.
Kanazawa Medical University · JP

Funding

Japan Society for the Promotion of Science 18K17537Kanazawa Medical University D2021-12
6 · The paper itself

Abstract

Hospitals have established visiting restrictions to block coronavirus disease 2019 (COVID-19) external transmission routes. This study investigated factors associated with nurses' internal transfer intentions and changes in their workloads, burdens, and daily lives owing to pandemic-related family visiting restrictions. Participants were nurses from three medical institutions designated for infectious diseases in Ishikawa Prefecture, Japan. An original self-report questionnaire was developed based on previous studies and a web-based survey conducted. Responses were received from 152 nurses and 84 were included in the analysis. Factors influencing internal transfer intentions were age ≥30 years [odds ratio (OR): 6.54, 95% confidence interval (CI): 1.19-35.83]; ≥11 years of experience (OR: 12.57, 95% CI: 2.32-68.02); and longer working hours (OR: 4.51, 95% CI: 1.48-13.72). The effect of visitation restrictions on daily life and internal transfer intentions was greater in nurses with ≥11 years of experience (OR: 4.31, 95% CI: 1.09-17.04), those with increased night awakening (OR: 3.68, 95% CI: 1.33-10.18), and those who desired to receive counseling (OR: 4.38, 95% CI: 1.07-17.91). In conclusion, excessive working hours may affect nurses' internal transfer intentions during the COVID-19 pandemic. Nocturnal awakening and desire to receive counseling may predict nurses' internal transfer intentions.

Indexed as

COVID-19family visiting restrictionsinternal transfer intention

Identifiers

PMID35628097
PMCPMC9140352
OpenAlexW4281392858

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.