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Record W4409672421 · doi:10.5455/ijbh.2025.13.49-54

The Role and Importance of the Midwife Before, During and After Birth and their Status in the Health System

2025· article· en· W4409672421 on OpenAlexaboutno aff
Mohammad Ardat, Naima Galijasevic, Lana Mulahasanovic, Djenana Saldo, Fahira Imamovic, Arzija Pašalić, Vedran Djidzo

Bibliographic record

VenueInternational Journal on Biomedicine and Healthcare · 2025
Typearticle
Languageen
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Background: Midwives are globally recognized as health professionals who specialize in the care of women in labor with a vital role in maternal and newborn health care. Midwives specialize in the care of women in labor and play a key role globally in managing normal vaginal birth, caring for pregnant women including supporting women and their families, providing consultations, managing normal birth for low-risk pregnant women and helping them maintain a healthy pregnancy. Despite the fact that the midwifery profession is an autonomous profession, in some countries there are many struggles to achieve recognition within its formal scope of work. The role of the midwife/midwife remains unclear in many countries due to poorly articulated policies and a lack of regulatory frameworks, which results in a lack of public clarity regarding the role of the midwife. Objective: The purpose of this expert report is to present the role of the midwife in protecting the health of mothers before, during and after childbirth, to clearly define their role and importance, and the need to improve midwifery as a profession in order to reduce the number of caesarean sections. Methods: This systematic review includes a comprehensive literature search of published scientific articles, in English, from 2020 to 2024, using electronic databases considered most relevant to the topics; CINAHL, EMBASE and PubMed. In this systematic review and meta-analysis, we included studies on the role of midwives in different countries, including Thailand, the United States, Australia, Canada, the UK, the Netherlands, Bosnia and Herzegovina, Slovenia, Croatia and Serbia, to arrive at results on what the role of midwives is in these countries. Citations without abstracts and/or full text, anonymous reports, editorials, case reports, case series and qualitative studies were excluded. Results: In the Law on Health Care of the FBiH, and the Law on Nursing and Midwifery of the FBiH, the role of the midwife is insufficiently defined and she is not given sufficient authority to work. For childbirth in BiH, in addition to midwives, a doctor must always be present. In European and foreign countries, the role of the midwife is put in the foreground during childbirth, so there are also hospitals where women give birth and are cared for by midwives. Midwife-led care, an approach that is already widely practiced in developed countries; however, it is a relatively new approach in lower-income countries. In midwife-led care, a midwife who is well known to the mother provides care for the low-risk pregnant woman during antenatal care, delivery and the postnatal period, rather than being cared for by different medical staff led by an obstetrician. The primary focus of care led by midwives is to support a healthy physiological pregnancy and birth and to empower women to give birth naturally with little or no regular intervention. Conclusion: It is very worrying for midwifery as a profession that there is currently a lack of visibility of midwives in practice within their scope of practice in Bosnia and Herzegovina. More research is needed on demonstrating the value of midwives as a primary role in the context of midwifery practice in Bosnia and Herzegovina.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.049
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.333
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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