Evidence map›Paper›PMID 39684950›Full record

ArticleHealthcare (Basel, Switzerland)2024

How Does the Pre-Registration Midwifery Programme Prepare the Newly Qualified Midwives for Their Post-Registration Perinatal Mental Health Role? A Mixed Methods Study.

Yemi Onilude, Omorogieva Ojo, David Evans, John Crowley, Priti Chopra, Gordon Ade-Ojo, Kate Knightly-Jones

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yemi OniludeSchool of Health Sciences, University of Greenwich, London SE9 2UG, UK.ORCID 0000-0003-0070-7949
Omorogieva OjoSchool of Health Sciences, University of Greenwich, London SE9 2UG, UK.ORCID 0000-0003-0071-3652
David EvansSchool of Health Sciences, University of Greenwich, London SE9 2UG, UK.ORCID 0000-0001-6874-3845
John CrowleySchool of Health Sciences, University of Greenwich, London SE9 2UG, UK.
Priti ChopraSchool of Education, University of Greenwich, London SE9 2UG, UK.ORCID 0000-0002-6852-7584
Gordon Ade-OjoSchool of Education, University of Greenwich, London SE9 2UG, UK.
Kate Knightly-JonesSpecialist Perinatal Mental Health Midwife, Darent Valley Hospital, Kent DA2 8DA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the United Kingdom (UK) and most countries worldwide, midwives are professionally required to undertake an initial perinatal mental health (PMH) risk assessment at every maternity contact. However, studies have found that midwives feel that they are not well-equipped to provide effective care for women with PMH needs. This study explores how the newly qualified midwives (NQMs) are prepared through pre-registration midwifery education and placements to have sufficient confidence in their

methodsThis explanatory sequential mixed methods study collected survey data from two independent groups: NQMs (

resultsThe pre-registration midwifery programme significantly prepared the NQMs to have sufficient confidence in their CONCLUSIONS AND RECOMMENDATIONS: The pre-registration midwifery programme prepares the NQMs to some extent for their post-registration PMH role. Perceived areas for improvement suggest implications for the development of educational, practice, policy, and preceptorship to facilitate the NQMs' sustainable confidence in their KASH.

Indexed as

midwifery educationnewly qualified midwivesperinatal mental healthstudent midwives

Identifiers

PMID39684950
PMCPMC11641598

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.