Evidence map›Paper›PMID 30022400›Full record

ArticleMaternal and child health journal2018

Can a Call Make a Difference? Measured Change in Women's Breastfeeding Self-efficacy Across Call Interactions on a Telephone Helpline.

Karen Thorpe, Elena Jansen, Cerdiwen Cromack, Danielle Gallegos

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Article in Maternal and child health journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Karen ThorpeInstitute for Social Science Research, The University of Queensland, Brisbane, Australia. k.thorpe@uq.edu.au.
Elena JansenCentre for Children's Health Research, Institute for Health and Biomedical Innovation and School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia.
Cerdiwen CromackSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia.
Danielle GallegosCentre for Children's Health Research, Institute for Health and Biomedical Innovation and School of Exercise and Nutrition Science, Queensland University of Technology, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Telephone helplines providing 24-h specialist-nurse contact present a source of immediate support for women encountering challenges with breastfeeding and may serve to prolong breastfeeding duration by building self-efficacy. To date there is little evidence on interaction effectiveness and still less on the relative effectiveness for women from different socio-economic backgrounds. Research Aim To establish the effect on maternal breastfeeding self-efficacy of calls made to a nurse-led parenting helpline. Methods From a corpus of calls made to the Australian Child Health Line (N = 723), those made by women presenting a breastfeeding concern as a prime issue (n = 60) were scored for breastfeeding self-efficacy at commencement and completion of recorded interactions. Analyses examined the significance and direction of change from beginning to end of calls and compared difference in change across calls originating from high and low social advantage locations. Results A significant increase in self-efficacy was found, but with low effect size. There was considerable variation among calls; 53% showed improvement, 25% showed no change and 22% showed reduction in breastfeeding self-efficacy. While most calls were made by women from socially advantaged locations, change was more positive for the small number of callers from disadvantaged locations. Conclusion The potential of nurse-led reactive telephone support is evident, but dependent on qualities of the interaction. For women living in disadvantaged locations telephone support may be of particular significance given the greater social barriers to breastfeeding they are likely to encounter.

Indexed as

Breast FeedingHotlinesSelf EfficacyVulnerable PopulationsAustraliaFemaleHumansNursesTelemedicineTelephoneBreastfeedingNursingSelf-efficacyTelemedicineVulnerable populations

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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.