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Record W3194953072 · doi:10.3233/prm-200776

Reproductive health and pregnancy experiences of women with spina bifida: A qualitative study

2021· article· en· W3194953072 on OpenAlexaff
Asia L. van Buuren, Susan O’Rinn, Hayley Lipworth, Paige Church, Anne Berndl

Bibliographic record

VenueJournal of Pediatric Rehabilitation Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicSpinal Dysraphism and Malformations
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of TorontoBC Children's Hospital
Fundersnot available
KeywordsSpina bifidaReproductive healthQualitative researchHealth carePregnancyFamily medicinePsychologyMedicineNursingDevelopmental psychologyPopulationPediatricsSociologyEnvironmental health

Abstract

fetched live from OpenAlex

PURPOSE: Despite an increasing number of individuals with spina bifida reaching reproductive age, there has been a paucity of research into their reproductive health care needs. The objective of this study was to better understand the reproductive health experiences of self-identified women with spina bifida using qualitative methodology. METHODS: A phenomenological study design was used to address this objective. Women with spina bifida identified their interest in participating in a semi-structured interview after completing an online reproductive health survey. Interviews were recorded and transcribed verbatim. Qualitative analysis followed a phenomenological approach using Dedoose software. RESULTS: Twelve self-identified women with spina bifida participated. They described experiences in four domains: sexual education, pregnancy, labor and delivery, and postpartum. In addition, an intersecting domain of social justice and advocacy emerged. Numerous themes are described, including a lack of tailored sexual health information, impact of pregnancy on function, attitudes towards delivery method, and parenting challenges. CONCLUSION: This study explored the continuum of reproductive health experiences of women with spina bifida. They face unique reproductive health challenges that provide an opportunity for health care providers to offer more holistic care.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.114
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.023
GPT teacher head0.365
Teacher spread0.342 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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