ArticleMidwifery2021
Sustaining quality education and practice learning in a pandemic and beyond: 'I have never learnt as much in my life, as quickly, ever'.
Article in Midwifery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- The role of nurses, midwives, and doulas on breastfeeding: changes during the COVID-19 pandemic.Frontiers in global women's health · 2025Article
- Strategical Pedagogy for the Development of Socio-Emotional Competences in Nursing Students.Nursing reports (Pavia, Italy) · 2024Article
- The effect of midwifery students' changing life conditions and e-learning experiences on the state of their anxiety and hopelessness during the Covid-19 pandemic.African health sciences · 2024Article
- Rescinding evidence-based care and practices during the initial COVID-19 outbreak in the United States: a qualitative study of the experiences of lactation support providers.Frontiers in public health · 2023Article
- Midwives speaking out on COVID-19: The international confederation of midwives global survey.PloS one · 2022Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The context of healthcare and of healthcare education has radically changed as a result of the Covid-19 pandemic. To identify positive strategies for midwifery education in this context, five case studies from the UK and beyond were conducted using an appreciative enquiry approach, from the perspectives of students, the maternity services, cross-university collaboration, and digital learning. A health system analysis was used to identify strategies to cope, adapt, and transform for the future, at the levels of individuals, teams, and the whole system. Findings showed that the implementation of effective responses was possible. Responding effectively and rapidly to a shock as profound as this pandemic requires courageous, respectful, evidence-based, innovative, collaborative, cross-sectoral working and leadership across education institutions, practice settings, the regulator, government, and with students themselves. Pre-existing trusting relationships and collaborative systems supported rapid responses. Effective digital learning requires a pro-active, student-centred approach, and addressing the problems of inequitable access to equipment and space. Joint problem-solving and focussing on the key outcomes that matter contribute to developing successful strategies and robust processes. The pandemic provides an opportunity for student midwives to be re-imagined as essential members of midwifery teams and not 'just students'. Transformative actions identified include whole-system working, tackling longstanding problems including racism, poverty, prejudice, and systemic discrimination, and keeping students at the heart of the education system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.