Evidence map›Paper›PMID 35251274›Full record

ArticleJournal of research in nursing : JRN2021

Priorities for research during the Coronavirus SARS-CoV-2 (COVID-19) pandemic and beyond: a survey of nurses, midwives and health visitors in the United Kingdom.

Joseph C Manning, Louise Bramley, Jane Coad, Catrin Evans, Kerry Evans, Linda Tinkler, Joanne Cooper

Abstract read
In one paragraph

Article in Journal of research in nursing : JRN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Joseph C ManningNIHR HEE ICA Clinical Lecturer, Clinical Associate Professor in Children, Young People and Families Nursing, and Charge Nurse in Paediatric Critical Care Outreach, Nottingham Children's Hospital and Neonates, Nottingham University Hospitals NHS Trust, UK; Associate Professor, Co-lead for Children and Young People Health Research (CYPHR), School of Health Sciences, University of Nottingham, UK.
Louise BramleyHead of Nursing and Midwifery Research, Nottingham University Hospitals NHS Trust, UK; Honorary Associate Professor, NIHR 70at70 Senior Nurse Research Leader, University of Nottingham, UK.
Jane CoadProfessor in Children and Family Nursing, Director for Clinical Academics (Nursing and Midwifery), Lead for Children and Young People Health Research (CYPHR), School of Health Sciences, University of Nottingham, UK; Professor in Nursing, Nottingham University Hospital NHS Trust & University Hospital Coventry and Warwickshire, NHS Trust, UK.
Catrin EvansAssociate Professor and Director of Knowledge Exchange, School of Health Sciences, University of Nottingham, UK.
Kerry EvansNIHR HEE ICA Clinical Lecturer, Institute of Nursing and Midwifery Excellence, Nottingham University Hospitals NHS Trust, UK; Associate Professor, School of Health Sciences, University of Nottingham, UK.
Linda TinklerTrust Lead (Nursing, Midwifery & AHP Research), Florence Nightingale Leadership Scholar, NIHR 70@70 Senior Nurse Research Leader, Newcastle upon Tyne Hospitals NHS Foundation Trust, UK.
Joanne CooperAssistant Director of Nursing, Institute of Nursing and Midwifery Care Excellence, Nottingham University Hospitals NHS Trust, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Coronavirus SARS-CoV-2 (COVID-19) pandemic has had a significant burden on global healthcare systems. Nurses, midwives and health visitors remain critical to the rapid responses and innovative solutions required. Their views, however, on priorities for research is mainly muted, necessitating greater clarity to inform research that benefits patients and families across the life course.

aimsTo identify priorities for research in relation to the COVID-19 pandemic and 'beyond', as recommended by nurses, midwives and health visitors across the four countries of the United Kingdom (UK).

methodsA cross-sectional, web-based survey design was conducted (5th May-4th June 2020). In addition to the completion of demographic information, respondents identified up to three research areas important to their clinical care/practice in the context of COVID-19 and beyond. Data were imported for analysis into NVivo 12 (QSR International). Descriptive analysis was used to summarise the demographic variables. Free text responses were analysed using a semantic, inductive thematic analysis approach.

resultsIn total 1,296 responses were received from a self-selected sample of predominantly of female, registered nurses of white British ethnicity, located in England and working for acute care providers, providing 3,444 research priority recommendations. Four higher-order themes emerged, (1) New and unknown frontiers; (2) Care and treatment solutions; (3) Healthcare leadership and inclusive workforce; and (4) Emotional and mental health impact.

conclusionsAt a time of significant global uncertainty, the collective voice of nursing, midwifery and health visiting is never more important to inform clinical research. Whilst generalisability is limited by the homogeneity of the sample, this is the first survey to elicit the priorities for research in relation to the COVID-19 pandemic and beyond from nurses, midwives and health visitors in the UK. Novel findings developed through a rigorous analytical approach illuminate areas that require both urgent and long-term attention and provide a platform to direct priority refinement, future research and the basis for evidence translation.

Indexed as

care systemCOVID-19 SARS-CoV-2midwifenursepandemicresearch

Identifiers

PMID35251274
PMCPMC8894638

What OpenQuestion holds

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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.