Evidence map›Paper›PMID 36976702›Full record

ArticleNursing reports (Pavia, Italy)2023

Relationship between Experience of Client Violence and Turnover Intention among Workers in Long-Term Care Facilities for Older Adults: Focusing on Nurses, Social Workers, and Care Workers.

Seunghoon Choi, Hyeri Shin, Minah Lee, Kimyung Han

Abstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

4 authors.

Seunghoon ChoiGraduate School of Social Welfare, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0001-8754-0883
Hyeri ShinDepartment of Gerontology, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 17104, Republic of Korea.ORCID 0000-0001-5198-9152
Minah LeeDepartment of Gerontology, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 17104, Republic of Korea.
Kimyung HanDepartment of Policy Research, Korea Disabled People's Development Institute, Seoul 07236, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To prevent discontinuity of long-term care service and guarantee the quality of care, it is important to clarify the determinants of turnover intentions of long-term care workers. They are at a higher risk of experiencing violence-including physical, emotional, and sexual-from patients or their families, possibly leading to high turnover intention. This study aims to verify how having experienced client violence affect turnover intention of long-term care workers and to suggest implications to prevent frequent turnover in long-term care field. Logistic regression analysis was conducted between groups who have experienced client violence and who have not, using 2019 Korean LTC Survey data. Results revealed that, first, there were differences in determinants of turnover intention depending on groups. Second, having experienced client violence had a different effect on turnover intention based on personal characteristics. Third, gender and occupational differences were found. Based on our results, we highlighted the need for discussions on interventions to address client violence exposure among long-term care workers.

Indexed as

care workerKoreanursesocial workerturnover intentionviolence experience

Identifiers

PMID36976702
PMCPMC10052588

What OpenQuestion holds

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LicenceCC BY
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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.