Evidence map›Paper›PMID 33537582›Full record

ArticleEuropean journal of midwifery2019

Skilled health attendants' knowledge and practice of pain management during labour in health care facilities in Ibadan, Nigeria.

Beatrice Ohaeri, Gbonjubola Owolabi, Justin Ingwu

Abstract read
In one paragraph

Article in European journal of midwifery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

3 authors.

Beatrice OhaeriDepartment of Nursing, University of Ibadan, Ibadan, Nigeria.
Gbonjubola OwolabiOyo State College of Nursing and Midwifery, Ibadan, Nigeria.
Justin IngwuDepartment of Nursing Sciences, Faculty of Health Sciences & Technology, University of Nigeria, Enugu, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSkilled health attendants occupy an important position in the management of women's pain during labour. Their professional goal is to ensure safety and minimum pain in labour. It has been revealed that nurse-midwives are deficient in knowledge and practice of pain management during labour. Hence, this study examined skilled health attendants' knowledge and practice of pain management in health care facilities in Ibadan, Nigeria.

methodsA cross-sectional design was used to collect data from 227 skilled health attendants, in the maternity units of the three purposively selected hospitals for 12 weeks. A structured questionnaire and observational check lists were used for data collection. Data were analyzed using descriptive statistics and significants level was set with p<0.05.

resultsResults on respondents' level of knowledge revealed that 6% had low knowledge, 40.5% moderate, and 56.8% had a high level. The majority, 79.7%, were registered nurse-midwives (RN/RM) and 90.1% employed reassurance for pain relief. No significant associations were found between respondents' level of education and reassurance, exercise, allay of fear, use of drugs, and TENS (p>0.05). However, there were significant associations between respondents' educational level and rubbing of back/massage, position change, cold/warm bath, relaxation, and social support (p<0.05).

conclusionsIt is recommended that seminars and workshops should be organized regularly and assessment tools should be supplied, to enhance effective pain assessment as this will provide adequate and holistic labour-pain management by nurse-midwives.

Indexed as

knowledgenurse-midwivespain managementpractice

Identifiers

PMID33537582
PMCPMC7839127

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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.