Evidence map›Paper›PMID 38090474›Full record

ArticleHealth SA = SA Gesondheid2023

Midwives' descriptions of avoidable causes of negative perinatal outcomes.

Kagiso P Tukisi

Open access · goldAbstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Factors influencing late antenatal booking in Tshwane District: Pregnant women's perceptions.African journal of primary health care & family medicine · 2025
    Article
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

1 author at 1 institution in 1 country.

Kagiso P TukisiDepartment of Nursing Science, School of Health Care Sciences, Sefako Makgatho Health Sciences University, Pretoria, South Africa.ORCID https://orcid.org/0000-0001-8974-4660
Sefako Makgatho Health Sciences University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Perinatal Problem Identification Programme (PPIP) is used to rule out the avoidable and nonavoidable causes of negative maternal and perinatal outcomes through file audits. Perinatal Problem Identification Programme serves as a tool for midwives and obstetricians to pinpoint missed opportunities that could prevent avoidable causes of negative perinatal outcomes. Aim: The study aimed to describe and explore the avoidable causes of negative perinatal outcomes in Bojanala District through the lens of the midwife. Setting: This study was conducted in the two selected facilities in the Bojanala District in the North West Province of South Africa. Methods: The study derived from a larger study that focused on midwives' experiences of obstetric triage in the Bojanala District. A qualitative, exploratory and descriptive research design was used with purposive sample of nine midwives. Participants had over 5 years of clinical midwifery experience and were employed in the Bojanala District. Semi-structured interviews were utilised with data analysed using Colaizzi's descriptive method of data analysis. Results: Three major themes with eight subthemes emerged. Midwives noted space constraints, medicine and medical supply constraints, and constraints in availability of medical equipment. Access to identified constraints would enable prompt and appropriate management. Conclusion: The study highlighted the experience of midwives in accessing needed space, medicines, medical supplies and equipment, potentially impacting negative perinatal outcomes. Contribution: This study provides insight into administratively related avoidable causes of negative perinatal outcomes through the lens of frontline maternity care providers - midwives. Findings should be of particular utility to health service managers working to reduce maternal mortality and morbidity.

Indexed as

labourmaternal mortalitymedical personnel-related avoidable causesmidwivesneonatal mortalityperinatal outcomes

Identifiers

PMID38090474
PMCPMC10713483
OpenAlexW4379980545

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.