Evidence map›Paper›PMID 36249191›Full record

ArticleFrontiers in public health2022

The impact of the COVID-19 pandemic on job satisfaction among professionally active nurses in five European countries.

Dawid Makowicz, Katarzyna Lisowicz, Krzysztof Bryniarski, Renata Dziubaszewska, Natalia Makowicz, Beata Dobrowolska

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Dawid MakowiczDepartment of Nursing, Carpathian State College, Krosno, Poland.
Katarzyna LisowiczDepartment of Nursing, Carpathian State College, Krosno, Poland.
Krzysztof BryniarskiInstitute of Cardiology, Jagiellonian University, Kraków, Poland.
Renata DziubaszewskaDepartment of Nursing, Carpathian State College, Krosno, Poland.
Natalia MakowiczDepartment of Nursing, Carpathian State College, Krosno, Poland.
Beata DobrowolskaDepartment of Holistic Care and Management in Nursing, Medical University, Lublin, Poland.
State Higher Vocational School in Krosno · PLInstitute of Cardiology · PLMedical University of Lublin · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has negatively affected the work of many medical professionals, including the group of nurses. This study aimed at assessing the impact of the COVID-19 pandemic on job satisfaction of nursing staff in five European countries. The study was conducted using the Job Satisfaction Scale (SSP) and original questions on the job satisfaction. The cross-sectional online study was conducted with a sample of 1,012 professionally active nurses working in Poland, Germany, Italy, Great Britain and Sweden, who assessed their job satisfaction before (retrospectively) and during the pandemic. The results showed a significant decrease in job satisfaction due to the need to perform it during the pandemic caused by the SARS-CoV-2 virus. In 8 out of 10 examined parameters of job satisfaction, a statistically significant decrease in job satisfaction was observed at the level of

Indexed as

COVID-19Job SatisfactionCross-Sectional StudiesHumansPandemicsRetrospective StudiesSARS-CoV-2COVID-19Europejob satisfactionnursingpandemic

Identifiers

PMID36249191
PMCPMC9554252
OpenAlexW4297329488

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.