Evidence map›Paper›PMID 38699493›Full record

ArticleInternational journal of developmental disabilities2024

The experiences of new mothers accessing feeding support for infants with down syndrome during the COVID-19 pandemic.

L Hielscher, A Ludlow, S E Mengoni, S Rogers, K Irvine

Abstract read
In one paragraph

Article in International journal of developmental disabilities, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

L HielscherDepartment of Psychology, Sport and Geography, University of Hertfordshire, Hatfield, UK.ORCID https://orcid.org/0000-0001-6901-2075
A LudlowDepartment of Psychology, Sport and Geography, University of Hertfordshire, Hatfield, UK.ORCID https://orcid.org/0000-0003-2843-7290
S E MengoniUniversity of Hertfordshire, Hatfield, Herts, UK.ORCID https://orcid.org/0000-0002-9431-9762
S RogersUniversity of Hertfordshire, Hatfield, Herts, UK.ORCID https://orcid.org/0000-0003-0516-7929
K IrvineUniversity of Hertfordshire, Hatfield, Herts, UK.ORCID https://orcid.org/0000-0003-4087-3802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infants with Down syndrome are more likely to experience feeding problems and mothers are likely to require more feeding support than mothers of typically developing infants. During the COVID-19 pandemic, many feeding support services changed from face-to-face to online, which impacted some maternal feeding experiences negatively, but no studies to date have explored the impact for mothers of infants with Down syndrome. Thematic analysis was conducted on semi-structured interviews from thirteen new mothers of infants (aged 8-17 months) with Down syndrome in the UK. Three superordinate themes were generated: (1) Every baby with Down syndrome has a unique journey, (2) There's no point asking, they won't know, (3) Lack of in-person support. Many mothers expressed frustrations over health professionals' lack of Down syndrome specific knowledge resulting in unmet needs, further magnified due to the nature of the virtual support being offered. Moreover, mothers struggled with reduced social support from other mothers when encountering feeding problems. These results hold real-world implications for health professionals who could provide more specialised face-to-face feeding support to mothers of infants with Down syndrome. This should be prioritised for children's overall development and mothers' wellbeing.

Indexed as

COVID-19Down syndromefeeding problems

Identifiers

PMID38699493
PMCPMC11062264

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.