Evidence map›Paper›PMID 39415511›Full record

ArticlePublic health nursing (Boston, Mass.)

Public Health Nurses' Competence Related to Long-Term Breastfeeding in the Context of Maternity and Child Health Clinics.

Oona Ojantausta, Niina Pöyhönen, Marja Kaunonen, Heini Huhtala, Riikka Ikonen

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Article in Public health nursing (Boston, Mass.). 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

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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

5 authors.

Oona OjantaustaFaculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland.ORCID 0000-0002-7246-8759
Niina PöyhönenDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
Marja KaunonenFaculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland.
Heini HuhtalaFaculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland.
Riikka IkonenFaculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore public health nurses' competence (namely knowledge, skills, and attitudes) in relation to long-term breastfeeding and their experience of the need for additional training on the subject.

designThe study design was quantitative, descriptive, and cross-sectional. SAMPLE: Public health nurses (n = 270).

methodsData were collected with the Long-Term Breastfeeding Competence Scale (LBCS) online survey. Data analysis was done with Spearman's correlation analysis and binary logistic regression analysis.

resultsSlightly more than half of the respondents had a good level of knowledge and skills. The majority had a baseline positive attitude toward long-term breastfeeding, but the attitude became more negative as the age of the breastfed child increased. Better competence was associated with younger age, parenthood, an additional degree in midwifery, and breastfeeding specialist certification. Knowledge and skills, and attitudes revealed a high correlation: the higher the knowledge and skills level, the more positive attitudes. Respondents with better knowledge and skills experienced more often the need for additional training on the subject.

conclusionsThis study addresses that public health nurses lack competence in relation to long-term breastfeeding. This may compromise the quality of breastfeeding guidance for families in healthcare settings.

Indexed as

Breast FeedingClinical CompetenceNurses, Public HealthAdultCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPublic Health NursingSurveys and Questionnaireslactationmaternal‐child healthpublic health nursing competencies

Identifiers

PMID39415511
PMCPMC11700924

What OpenQuestion holds

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LicenceCC BY
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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.