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Record W2234298456 · doi:10.1177/229255031402200313

‘Wondering and waiting’ after obstetrical brachial plexus injury: Are we underestimating the effects of the traumatic experience on the families?

2014· article· en· W2234298456 on OpenAlexafffund
Carol DeMatteo, James R. Bain, Deborah Gjertsen, Jessica A. Harper

Bibliographic record

VenuePlastic Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicNerve Injury and Rehabilitation
Canadian institutionsMcMaster UniversityMcMaster Children's Hospital
FundersMcMaster University
KeywordsBrachial plexusBrachial plexus injuryMedicineAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Obstetrical brachial plexus injury (OBPI) in children can cause great distress to a family due to uncertain recovery, variability in spontaneous recovery and unclear indicators for surgery. OBJECTIVE: To investigate the impact of having a child with OBPI on the family and whether the Impact on Family Scale (IoFS) can assist in addressing family concerns. METHODS: A mixed-method (cross-sectional survey and semistructured interviews) study design was used. RESULTS: Thirty-eight families of children with OBPI completed the IoFS. Surgery significantly predicted a higher IoFS total impact score (P=0.02). No statistically significant association between the total impact score and severity or age was found, suggesting that impact on family was not dependent on these factors. Themes that emerged from the interviews included traumatic birthing experience, wondering and waiting, and experiencing surgery. CONCLUSION: All families should receive support and acknowledgement of the widespread impact of OBPI.

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)0.006
metaresearch head score (Gemma)0.036
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 score0.008
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.262
Teacher spread0.237 · 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

Citations11
Published2014
Admission routes2
Has abstractyes

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