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Record W3035575252 · doi:10.1186/s12884-020-03245-8

Exploring the use and experience of an infant feeding genogram to facilitate an assets-based approach to support infant feeding

2020· article· en· W3035575252 on OpenAlexaff
Gill Thomson, Jenny Ingram, Joanne Clarke, Debbie Johnson, Heather Trickey, Stephan U Dombrowski, Pat Hoddinott, Kirsty Darwent, Kate Jolly

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2020
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of New Brunswick
FundersPublic Health Research ProgrammeDepartment of Health and Social CareNational Institute for Health and Care Research
KeywordsGenogramFocus groupMedicineBreastfeedingIntervention (counseling)Qualitative researchPsychological interventionDevelopmental psychologyNursingFamily medicinePediatricsPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: A lack of perceived social support influences women's infant feeding behaviours. The Infant Feeding Genogram is a visual co-constructed diagram which details people/services that can provide support to women and can facilitate a connection between mothers and their existing assets landscape. The aim of this study is to explore women's and infant feeding helpers' experiences and use of an infant feeding genogram delivered to the intervention group of the "Assets-based infant feeding help Before and After birth (ABA)" randomised feasibility trial. METHODS: 103 primiparous mothers aged 16+ years were recruited to the trial (trial registration number) in two sites (Site A and Site B) with low breastfeeding prevalence in the UK. Infant feeding helpers (IFHs) co-constructed a genogram at the first antenatal meeting for the intervention group (n = 50), and then provided proactive, woman-centered support from ~ 32 weeks gestation to up to 5 months postnatal. Infant feeding helpers' and women's experiences of the infant feeding genogram were collected via interviews or focus groups. Completed genograms were shared with researchers. Content analysis of the genograms and qualitative data from the interviews and focus groups were analysed thematically. RESULTS: Data comprised 32 completed genograms, and qualitative insights from all 13 infant feeding helpers (two focus groups; 4 interviews) and interviews with a purposive sample of 21 of 50 intervention group women between 4 and 21 weeks after birth. Content analysis of the genograms highlighted variations, with more personal, individualised genograms completed at Site B compared to Site A. The perceived impact of the genogram was related to the IFHs' application of the tool. The genogram was either used as intended to raise women's awareness of available assets and motivate help-seeking behaviour, or as a data collection tool with limited perceived utility. Negative and positive unintended consequences of genogram use were highlighted. CONCLUSIONS: The genogram has the potential to offer a woman, family and community-centred approach that focusses on building assets for infant feeding. However, variations in genogram application indicate that revised training is required to clarify the purpose and ensure it is used as intended. TRIAL REGISTRATION: ISRCTN ISRCTN14760978 ; Registered 30 January 2017.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.256
GPT teacher head0.314
Teacher spread0.058 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2020
Admission routes1
Has abstractyes

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