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Record W4281861299 · doi:10.21203/rs.3.rs-1673895/v1

Information needs of parents of children with congenital anomalies across Europe: a EUROlinkCAT survey

2022· preprint· en· W4281861299 on OpenAlexaff
Elena Marcus, Anna Latos‐Bieleńska, Anna Jamry‐Dziurla, Ingeborg Barišić, Clara Cavero‐Carbonell, Elly Den Hond, Ester Garne, Lucas Genard, Ana João Santos, L. Renée Lutke, Carlos Matias Dias, Christina Neergaard Pedersen, Amanda J. Neville, Annika Niemann, Ljubica Odak, Anna Pierini, Juan José Ruiz Rico, Anke Rißmann, Judith Rankin, Joan K. Morris

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsPopulation Health Research Institute
FundersEuropean Commission
KeywordsHelpfulnessWorryMedicineSpina bifidaFamily medicinePediatricsPsychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Abstract BackgroundParents of children who have a congenital anomaly can experience significant worry about their child’s health. Access to clear, helpful, and trustworthy information can provide a valuable source of support. In this study the information needs of parents/carers of children with congenital anomalies were explored across Europe.MethodA cross-sectional online survey was developed in nine languages to measure parents’ information needs, including: (1) the ‘helpfulness’/’trustworthiness’ of information received from eight relevant sources, and (2) overall satisfaction with information received. Parents/carers of children (0-10 years) with cleft lip, spina bifida, congenital heart defect [CHD] requiring surgery, and/or Down syndrome were recruited online via relevant organisations in 10 European countries from March-July 2021. Quantitative analyses using multivariable logistic regressions were performed. Results1,070 parents/carers of children with a cleft lip (n=247), spina bifida (n=118), CHD (n=366), Down syndrome (n=281), and Down syndrome with CHD (n=58) were recruited in Poland (n=476), the UK (n=120), Germany (n=97), the Netherlands/Belgium (n=74), Croatia (n=68), Italy (n=59), other European countries (n=92), and not specified/non-European countries (n=84). Most participants were mothers (92%) and aged 31-40 years (71%). Participants were most likely to rate support groups (63%), patient organisations (60%), specialist doctors/nurses (58%), and social media (57%) as ‘very helpful’ information sources. ‘Very trustworthy’ ratings remained high for specialist doctors/nurses (61%), however, they declined for support groups (47%), patient organisations (48%), and social media (35%). Germany had the highest proportion of participants who were ‘very satisfied’ (44%, 95% CI=34%-54%) with information, whereas this percentage was lowest in Croatia (11%, 95% CI=3%-19%) and Poland (15%, 95% CI=11%-18%). Parents of children with Down syndrome had significantly lower satisfaction ratings than parents of children with CHD; 13% (95% CI=8%-18%) reported being ‘very satisfied’ compared to 28% (95% CI=23%-33%) in the CHD group. ConclusionsFindings suggest that informal sources of information (e.g. support groups) are of value to parents, however, they are not deemed as trustworthy as specialist medical sources. Satisfaction ratings differed across countries and by anomaly, and were particularly low in Croatia and Poland, as well as for parents of children with Down syndrome, which warrants further investigation.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.364
Teacher spread0.325 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

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