Evidence map›Paper›PMID 37545912›Full record

ArticleAfrican health sciences2023

Hyperglycaemia in pregnancy: knowledge and correlates amongst antenatal care providers in healthcare facilities in Jos, Nigeria.

Lucius Imoh, Abdulazis Longwap, Nicholas Yersib, Dungrit Gowok, Zainab Muhammad, Joy Imoh, Mathilda Banwat

Abstract read
In one paragraph

Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Lucius ImohUniversity of Jos, Department of Chemical Pathology.
Abdulazis LongwapUniversity of Jos, Department of Chemical Pathology.
Nicholas YersibUniversity of Jos, Department of Chemical Pathology.
Dungrit GowokUniversity of Jos, Department of Chemical Pathology.
Zainab MuhammadUniversity of Jos, Department of Chemical Pathology.
Joy ImohUniversity of Jos, Department of Geography and Planning.
Mathilda BanwatUniversity of Jos, Department of Community Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antenatal healthcare providers' (AHPs) knowledge about hyperglycaemia in pregnancy (HIP) and its screening best practices affect the management of affected pregnant women. We assessed the knowledge of HIP and associated factors amongst first line AHPs. Methods: This descriptive cross-sectional study involved 188 Doctors, Nurses and Community Health providers directly involved in providing antenatal care at all levels of health care in Jos, Plateau State, Nigeria, selected through total sampling technique. Result: A total of 103 AHPs (54.8%) were females. The mean knowledge score (SD) score was 17.0+/-5.5 (out of 30). Only 93 (49.5%) had a good knowledge of HIP (Knowledge score ≥18). Only 88 (46.8%) could correctly identify 75g OGTT or 100g OGTT as diagnostic tests for GDM. Gender, category of hospital, level of care of the institution and job designation were significantly associated with knowledge of HIP after bivariate analysis (p < 0.05). After multivariate analysis using logistic regression analysis, only the category of institution and job designation were independently associated with knowledge of HIP. Conclusion: The general level of knowledge of HIP among AHPs is average but awareness of testing and management guidelines is very poor hence the need for regular updates for health professionals.

Indexed as

Diabetes, GestationalHyperglycemiaCross-Sectional StudiesDelivery of Health CareFemaleGlucose Tolerance TestHumansMaleNigeriaPregnancyPrenatal Caregestational diabetes mellitusguidelines for GDMHyperglycaemia in Pregnancyknowledge of GDM

Identifiers

PMID37545912
PMCPMC10398434

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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.