Evidence map›Paper›PMID 34238313›Full record

ArticleBMC health services research2021

Work-related stress and intention to leave among midwives working in Swiss maternity hospitals - a cross-sectional study.

Karin Anne Peter, Barbara Meier-Kaeppeli, Jessica Pehlke-Milde, Susanne Grylka-Baeschlin

Abstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Factors influencing turnover intention among midwives: a systematic review.Archives of public health = Archives belges de sante publique · 2026
    Pooled it
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  8. Occupational stress, burnout and job satisfaction among optometrists in Spain: A cross-sectional study.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Observational
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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

4 authors.

Karin Anne PeterDivision of Applied Research & Development in Nursing, Bern University of Applied Sciences, Murtenstrasse 10, 3008, Bern, Switzerland. karin.peter@bfh.ch.
Barbara Meier-KaeppeliDivision of Women's Health and Newborn Care, Department of Obstetrics, University Hospital of Zurich, Frauenklinikstrasse 10, CH-8091, Zürich, Switzerland.
Jessica Pehlke-MildeResearch Unit for Midwifery Science, ZHAW Zurich University of Applied Sciences, Katharina-Sulzer-Platz 9, CH-8401, Winterthur, Switzerland.
Susanne Grylka-BaeschlinResearch Unit for Midwifery Science, ZHAW Zurich University of Applied Sciences, Katharina-Sulzer-Platz 9, CH-8401, Winterthur, Switzerland.

Funding

Staatssekretariat für Bildung, Forschung und Innovation Staatssekretariat für Bildung, Forschung und Innovation
6 · The paper itself

Abstract

backgroundHealth systems around the globe are struggling to recruit qualified health professionals. Work-related stress plays an important role in why health professionals leave their profession prematurely. However, little is known about midwives' working conditions and intentions to leave their profession, although this knowledge is key to work force retention. Therefore, we aimed to investigate work-related stress among midwives working in Swiss maternity hospitals, as well as differences between midwives and other health professionals and the stressors associated with midwives' intention to leave the profession.

methodsWe conducted a data analysis of two cross-sectional studies encompassing midwives working in labour, postpartum and/or gynaecology wards of 12 public Swiss maternity hospitals. Data was collected by self-report questionnaire assessing potential stressors and long-term consequences of stress at work. Data were analysed using descriptive statistics, Kruskal Wallis tests and logistic regression modelling.

resultsA total of 98 midwives took part in the study and one in three midwives reported doing overtime sometimes-always. Also, the score for work-private life conflicts was significantly higher among midwives than among other health professionals, with the exception of physicians (M = 37.0 versus 50.2, p < .001). Midwives' meaning of work score (M = 89.4) was significantly higher than that of other health professionals (e.g. nurses (M = 83.0, p < .001) or physicians (M = 82.5, p < .01)). Generation Y midwives showed a significantly higher intention to leave their organisation than did the baby boomers (Mean scores 29.3 versus 10.0, p < .01). Results of the regression model revealed that if midwives could compensate for their overtime in the same month, their intention to leave the profession was lower (OR = 0.23, p < .05). Additionally, the more midwives were affected by work-private life conflicts (OR = 3.01, p < .05) and thoughts about leaving their organisation (OR = 6.81, p < .05), the higher was their intention to leave their profession prematurely.

conclusionsThe comparison with other health professions and the higher intention to leave the profession of younger midwife generations are important findings for heads of institutions as well as policy makers, and should stimulate them to develop strategies for keeping midwives on their staff. More extensive studies should implement and test interventions for reducing work-related stress and increasing the job and occupational satisfaction of midwives.

Indexed as

MidwiferyOccupational StressCross-Sectional StudiesFemaleHospitals, MaternityHumansIntentionJob SatisfactionPregnancySurveys and QuestionnairesSwitzerlandIntention to leaveJob satisfactionMidwiferyStressorsWork force retention

Identifiers

PMID34238313
PMCPMC8264983

What OpenQuestion holds

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LicenceCC BY
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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.