Evidence map›Paper›PMID 36790876›Full record

ArticleNursing open2023

Mixed-methods study protocol for exploring the perception of nurses' resilience in the COVID-19 pandemic: Designing, implementing and evaluation of intervention.

Tooba Hoseini Azizi, Nahid Dehghan Nayeri, Alun C Jackson, Fatemeh Bahramnezhad

Abstract readClinical Trial Protocol
In one paragraph

Article in Nursing open, 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

4 authors.

Tooba Hoseini AziziDepartment of Critical Care Nursing and Management, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-8615-6804
Nahid Dehghan NayeriSchool of Nursing and Midwifery, Nursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Alun C JacksonAustralian Centre for Heart Health, Victoria, Melbourne, Australia.
Fatemeh BahramnezhadSchool of Nursing and Midwifery, Nursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-2015-0204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the necessity for interventions to build resilient nurses in the COVID-19 pandemic is recognized, there is disagreement about the effective methods for achieving this.

aimWe present our research protocol that describes plans to design and test an interventional program for promoting nurses' resilience.

designThis sequential exploratory interventional mixed-methods study is conducted in three phases (qualitative, intervention design, and quantitative).

methodsIt was funded from May 2021 for 24 months. In phase 1, we explored strategies for promoting resilience in the COVID-19 pandemic from nurses' perspectives (through semi-structured interviews). In phase 2, we will design an interventional program for promoting nurses' resilience (using the qualitative phase and literature review results). We will assess the program's effectiveness on nurses' resilience in a randomized controlled trial in phase 3. DISCUSSION: Given the different experiences of nurses of resilience in COVID-19, our innovative program can guide future research to enhance nurses' resilience based on specific situations.

Indexed as

COVID-19NursesResilience, PsychologicalClinical Trials, Phase III as TopicHumansPandemicsPerceptionRandomized Controlled Trials as TopicCOVID-19mixed-methodnursesresiliencestudy protocol

Identifiers

PMID36790876
PMCPMC10170888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.