Evidence map›Paper›PMID 37316918›Full record

ArticleBMC health services research2023

Resilience, job satisfaction, intentions to leave nursing and quality of care among nurses during the COVID-19 pandemic - a questionnaire study.

Saija Sihvola, Anu Nurmeksela, Santtu Mikkonen, Jaana Peltokoski, Tarja Kvist

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
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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

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

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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

5 authors.

Saija SihvolaFaculty of Health Sciences, Department of Nursing Science, University of Eastern Finland, Kuopio Campus, Yliopistonranta 1 C, Canthia, P.O. Box 1627, Kuopio, FI-70211, Finland. saija.sihvola@uef.fi.
Anu NurmekselaFaculty of Health Sciences, Department of Nursing Science, University of Eastern Finland, Kuopio Campus, Yliopistonranta 1 C, Canthia, P.O. Box 1627, Kuopio, FI-70211, Finland.
Santtu MikkonenFaculty of Science and Forestry, Department of Applied Physics, University of Eastern Finland, Kuopio Campus, Yliopistonranta 1 C, Canthia, P.O. Box 1627, Kuopio, FI-70211, Finland.
Jaana PeltokoskiInformation Management, Wellbeing Services County of Central Finland, Viitaniementie 1, Jyväskylä, 40720, Finland.
Tarja KvistFaculty of Health Sciences, Department of Nursing Science, University of Eastern Finland, Kuopio Campus, Yliopistonranta 1 C, Canthia, P.O. Box 1627, Kuopio, FI-70211, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has challenged nurses and healthcare systems globally and raised major concerns for nurses' wellbeing and working conditions. This cross-sectional and correlational study design aims to describe nurses' resilience, job satisfaction, intentions to leave and quality of care, and explain their relationships during the COVID-19 pandemic.

methodsData were collected from Registered Nurses (N = 437) in Finland through an electronic survey between February 2021 and June 2021. The questionnaire covered background characteristics (seven questions), resilience (four questions), job satisfaction (one question), intention to leave nursing (two questions), quality of care (one question), and requiring factors of the work (eight questions). The background variables and dependent variables were analyzed and presented using descriptive statistics. Structural equation modeling was used to explain dependent variables relationships. The study followed procedures recommended in the STROBE Statement for cross-sectional studies in efforts to maximize the quality of reporting results.

resultsThe surveyed nurses evaluated their resilience by mean score 3.92, more nurses had considered leaving nursing during the pandemic (16%) than before (2%). Nurses´ mean score of requiring factors of the work was 2.56 and overall job satisfaction 5.8. Structural equation modeling revealed that resilience affected their job satisfaction, which also influenced the quality of care, that was rated moderate (7.46 out of 10). Structural equation modeling indices of goodness of fit were NFI = 0.988, RFI = 0.954, IFI = 0.992, TLI = 0.97, CFI = 0.992, and RMSEA = 0.064. No direct relationship was found between resilience and intention to leave nursing.

conclusionsGood resilience promoted delivery of high-quality care by nurses during the pandemic and enhanced their job satisfaction, which reduced their intention to leave nursing. The results indicate that it is important to develop interventions that support nurses' resilience. IMPACT: The study highlights the importance of nurses' resilience during the pandemic, while job satisfaction may decrease and requiring factors of the work increase. Given the number of nurses who consider leaving nursing, there are clear needs to develop effective strategies to maintain quality healthcare with resilient, committed nursing staff.

Indexed as

COVID-19Job SatisfactionCross-Sectional StudiesHumansIntentionPandemicsQuality of Health CareCOVID-19 pandemicIntention to leaveJob satisfactionNursesQuality of careResilience

Identifiers

PMID37316918
PMCPMC10266309

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.