Evidence map›Paper›PMID 34683086›Full record

ArticleJournal of personalized medicine2021

The Impact of the COVID-19 Pandemic on Nursing Care: A Cross-Sectional Survey-Based Study.

Marco Clari, Michela Luciani, Alessio Conti, Veronica Sciannameo, Paola Berchialla, Paola Di Giulio, Sara Campagna, Valerio Dimonte

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
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  17. Health Service Management and Patient Safety in Primary Care during the COVID-19 Pandemic in Kosovo.International journal of environmental research and public health · 2023
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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

8 authors.

Marco ClariDepartment of Public Health and Pediatrics, University of Torino, 10126 Turin, Italy.ORCID 0000-0001-5927-2973
Michela LucianiDepartment of Public Health and Pediatrics, University of Torino, 10126 Turin, Italy.ORCID 0000-0001-7598-5658
Alessio ContiDepartment of Public Health and Pediatrics, University of Torino, 10126 Turin, Italy.ORCID 0000-0003-4301-8924
Veronica SciannameoDepartment of Cardiac, Vascular Sciences and Public Health, University of Padova, 35128 Padua, Italy.ORCID 0000-0002-0499-0131
Paola BerchiallaDepartment of Clinical and Biological Sciences, University of Torino, 10043 Orbassano, Italy.ORCID 0000-0001-5835-5638
Paola Di GiulioDepartment of Public Health and Pediatrics, University of Torino, 10126 Turin, Italy.
Sara CampagnaDepartment of Public Health and Pediatrics, University of Torino, 10126 Turin, Italy.ORCID 0000-0003-2722-1818
Valerio DimonteDepartment of Public Health and Pediatrics, University of Torino, 10126 Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has had a severe impact on nursing care. This cross-sectional survey-based study compared aspects of nursing care and nurses' satisfaction with care provided before and during the first wave of the COVID-19 pandemic. A total of 936 registered nurses (RNs) rated the frequency with which they performed fundamental care, nursing techniques, patient education, symptom management, and nurse-patient relationships before and during the pandemic. A recursive partitioning for ordered multivariate response in a conditional inference framework approach was applied. More frequent fundamental cares were associated with their frequency before the pandemic (

Indexed as

conditional inference treesCOVID-19nursing carepatient care planningpersonalized carequality of health care

Identifiers

PMID34683086
PMCPMC8538569

What OpenQuestion holds

Textmetadata
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.