Evidence map›Paper›PMID 40478988›Full record

ArticleScience talks2023

Student nurses, nursing curriculums and emergency responses to Covid-19: A scoping review.

Naomi A Watson, Joseph De-Lappe

Abstract read
In one paragraph

Article in Science talks, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

2 authors.

Naomi A WatsonThe Open University, Faculty of Wellbeing, Education and Language Studies, School of Health, Wellbeing and Social Care, Milton Keynes MK7 6AA, UK.
Joseph De-LappeThe Open University, Faculty of Wellbeing, Education and Language Studies, School of Health, Wellbeing and Social Care, Milton Keynes MK7 6AA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emergency healthcare responses to COVID-19 substantially impacted on nursing curriculums and student nurses worldwide. Understanding the extent of this impact on their learning experiences could inform nursing curriculums going forward. Objective: Identify the range and nature of literature related to emergency healthcare response to COVID-19 and its impact on student nurses and nursing curriculums. Explore and analyze the findings within the searched literature. Position findings within the broader context of the ongoing impact of COVID-19 on nursing curriculums. Identify gaps in the literature. Design: Using the Johanna Briggs Institute (JBI) methodology, we conducted a scoping review of literature published in the English language from 2019 to 2021. Search strategy included specific search terms used to search five online databases: CINAHL, ProQuest, and PubMed and OVID, and Google Scholar. A narrative approach was used to synthesize the identified papers. Results: 356 papers were retrieved through initial database and hand searches; 260 once duplicates were removed. Close assessment by title, abstract, and full paper using inclusion/exclusion criteria narrowed this to 16 relevant articles. Conclusions: This review did not assess for quality, however selected studies were themselves emergency responses to COVID-19, conducted in haste, so reviewers deemed the quality of evidence to be impacted by this. They suggest healthcare responses to COVID-19 have been highly disruptive for many student nurses. Studies focused almost entirely on face-to-face traditional nurse learners, with distance learners only mentioned in passing in two papers.

Indexed as

Covid-19E-learningEmergency healthcare responsesNursing curriculumsStudent nurses

Identifiers

PMID40478988
PMCPMC10060189

What OpenQuestion holds

Textmetadata
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.