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Record W3211601329 · doi:10.1177/23333936211045058

Meeting the Needs of Parents of Children With Scoliosis: A Qualitative Descriptive Study

2021· article· en· W3211601329 on OpenAlexaff
Leanne R. Willson, Laura G. Rogers, Nicole Gingrich, Kathleen Shearer, Sarah Southon

Bibliographic record

VenueGlobal Qualitative Nursing Research · 2021
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversity of AlbertaStollery Children's HospitalThe King's University
Fundersnot available
KeywordsThematic analysisQualitative researchPsychologyNursingInformation needsScoliosisDevelopmental psychologyMedicinePsychiatrySociology

Abstract

fetched live from OpenAlex

Needs of parents with children with scoliosis are complex and depend on their child's treatments. The purpose of this study was to identify needs of parents with children with scoliosis. This qualitative description involved interviews with parents of children at various stages of treatment. A convenience, then purposeful sample of 16 parents (12 mothers, two fathers, and two stepfathers) was interviewed; interviews were transcribed and analyzed using thematic analysis. Parents' needs included: Needing reliable medical information; Desiring information on complementary treatments; Wanting help in supporting and advocating for their child; Needing to protect the child and family; and Seeking connection and support. Although many parents' needs are being met, this study recommends a nursing role aimed at providing parents with reliable medical information, discussing alternative treatments, assisting parents in their role of supporting their child, helping parents in their advocacy efforts, and referring parents to appropriate connections.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.014
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.204
GPT teacher head0.534
Teacher spread0.330 · 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 teacher head, 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

Citations14
Published2021
Admission routes1
Has abstractyes

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