Evidence map›Paper›PMID 33731047›Full record

ArticleBMC pregnancy and childbirth2021

Neonatal care practices in Buikwe District, Uganda: a qualitative study.

Marte Bodil Roed, Ingunn Marie Stadskleiv Engebretsen, Robert Mangeni

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Marte Bodil RoedUniversity of Bergen, P.O. Box 7800, 5020, Bergen, Norway. mbodilro@online.no.ORCID http://orcid.org/0000-0003-0672-1434
Ingunn Marie Stadskleiv EngebretsenUniversity of Bergen, P.O. Box 7800, 5020, Bergen, Norway.
Robert MangeniMakerere University College of Humanities and Social Sciences, P.O Box: 7062, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSub-Saharan Africa is the region with the highest neonatal mortality rate, with Uganda reporting 20 deaths per 1000 live births. The Uganda Clinical Guidelines (UCG) from 2016 have detailed descriptions on care for mothers and their newborns during pregnancy, delivery and the post-partum period. The objective of the study was to identify provider and user perspectives regarding the knowledge of and adherence to the UCG recommendations in aspects of delivery and newborn care, both in cases of normal as well as complicated births.

methodsThe study used qualitative methods with data collection from participant observations, interviews with key-informants and focus group discussions. Malterud's Systematic Text Condensation (STC) was used for analysis.

resultsThe study found low knowledge about the UCG among the health workers. Various discrepancies between performed hands-on-procedures and the UCG were found related to neonatal care practices, including low use of partograms, uncertainty around timing for cord clamping, routine oronasopharyngeal suction of newborns and inadequate implementation of skin-to-skin care.

conclusionsContinued focus on systemic strategies for further implementation of the UCG is recommended.

Indexed as

Delivery, ObstetricHealth Knowledge, Attitudes, PracticeInfant CareObstetric Labor ComplicationsPostnatal CareAdultAttitude of Health PersonnelBreast FeedingFemaleFocus GroupsHumansInfantInfant MortalityInfant, NewbornNeeds AssessmentPregnancyBreastfeedingComplicated birthsDeliveryNeonatal careNeonatal mortalitySub-Sahara AfricaUgandaUganda clinical guidelines

Identifiers

PMID33731047
PMCPMC7972211

What OpenQuestion holds

Textmetadata
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.