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Record W4391807161 · doi:10.1016/j.hctj.2024.100041

Psychosocial needs and outcomes of adults with spina bifida: A scoping review, 1974-2023

2024· article· en· W4391807161 on OpenAlexaff
Jennifer Emilie Mannino, Heather Reens, Kathryn Smith, Lynn Kysh, Serge' R. Nelson, Y.C. Wang, Manu S. Raam, Michele Roland, Alexander Van Speybroeck, Cecily L. Betz

Bibliographic record

VenueHealth Care Transitions · 2024
Typearticle
Languageen
FieldMedicine
TopicSpinal Dysraphism and Malformations
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsSpina bifidaPsychosocialPopulationGerontologyMedicinePsychologyFamily medicinePsychiatryPediatricsEnvironmental health

Abstract

fetched live from OpenAlex

Limited evidence exists that serves to guide the field of practice and research pertaining to the long-term issues and needs of adults with spina bifida. Understanding the lived experience of adults with spina bifida has lagged behind considerably resulting in limited evidence-based guidance for individuals with spina bifida and their families and the health care professionals who provide services to this population. Given the paucity of knowledge of the lived experience as it pertains to adulthood, this scoping review was undertaken. More than 10,000 records from 1974 through 2023 were screened based upon the search criteria whose purpose was to examine the research conducted the psychosocial outcomes and needs of adults with spina bifida. A total of 81 articles were included in this review. The findings of this review revealed significant gaps were apparent. There was limited data on adulthood benchmarks of employment, education, community living and social relationships. Limitations associated with the investigations of this review included underpowered samples, lack of longitudinal designs, use of instruments with insufficient psychometrics, and the use of clinical and administrative data sets not designed for research purposes. As the survival rates of individuals with spina bifida continue to improve with medical advances more robust psychosocial research pertaining to this population is needed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.016
GPT teacher head0.350
Teacher spread0.334 · 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 designSystematic review
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

Citations2
Published2024
Admission routes1
Has abstractyes

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