Evidence map›Paper›PMID 35560674›Full record

ArticleJournal of nursing management2022

Managerial approaches for maintaining low levels of sick leave: A qualitative study.

Sara L Fallman, Lotta Dellve, Agneta Kullén Engström

Abstract 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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  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

3 authors.

Sara L FallmanFaculty of Caring Science, Work Life, and Social Welfare, University of Borås, Borås, Sweden.ORCID https://orcid.org/0000-0002-3325-4184
Lotta DellveDepartment of Sociology and Work Science, Gothenburg University, Gothenburg, Sweden.ORCID https://orcid.org/0000-0003-0480-1895
Agneta Kullén EngströmFaculty of Caring Science, Work Life, and Social Welfare, University of Borås, Borås, Sweden.ORCID https://orcid.org/0000-0002-0368-3498

Funding

Center for Welfare Studies (CVS) at the University of Borås
6 · The paper itself

Abstract

aimThe aim of this study was to identify first-line managers' approaches for maintaining low levels of sick leave among health care employees.

introductionOne challenge in health care is the high level of sick leave among employees. High work demands and conflicting pressures characterize the work situation of both employees and first-line managers, with potential negative effects on work-related health.

methodFirst-line managers at units with low and/or decreasing sick leave were interviewed. Thematic analysis was used to analyse the data.

resultsThe managers took a holistic approach in meeting their employees' broader needs, and they were balancing high organisational demands through insubordination. To keep sick leave rate low, they created possibilities for the employees to influence their own working life through a present, visible and trustful leadership.

conclusionManagers responsible for units with low sick leave seemed to utilize a holistic approach with focus on their employees and prioritized needs of their employees before organisational demands from top management. IMPLICATIONS FOR NURSING MANAGEMENT: First-line managers in health care can have impact on sick leave among their employees and create good working conditions, despite pressure from their superiors.

Indexed as

EmploymentSick LeaveHealth PersonnelHumansLeadershipQualitative ResearchWorkplaceemployeefirst-line managerflexibilityhealth caresick leave

Identifiers

PMID35560674
PMCPMC10084398

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.