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Record W3135376672 · doi:10.11124/jbies-20-00265

Self-management for youth and young adults with special health needs: protocol for a scoping review of health care transition planning literature

2021· review· en· W3135376672 on OpenAlexaff
Cecily L. Betz, Jennifer Emilie Mannino, Kristin Cleverley, Cara C. Young, Monique M. Ridosh, Lynn Kysh, Sharon Hudson

Bibliographic record

VenueJBI Evidence Synthesis · 2021
Typereview
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProtocol (science)Health carePsychologySelf-managementTransition (genetics)GerontologyMedicinePolitical scienceComputer scienceAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this scoping review is to explore the extent to which self-management of youth and young adults with special health care needs is reported in the health care transition literature. INTRODUCTION: It is essential for youth and young adults with special health care needs to learn the self-management skills, to the extent possible, that are essential in maintaining the stability of their chronic condition to seamlessly transfer to adult care and live independently. Acquisition of self-management competencies for chronic care management is an essential component of health care transition preparation. INCLUSION CRITERIA: The inclusion criteria will be based upon age and condition designation. The age range of participants will include youth and young adults, aged nine to 35 years, who have special health care needs. Inclusion criteria consists of both non-categorical and diagnostic specific terminology for youth and young adults with a childhood acquired chronic condition. Non-categorical terms used include "long-term chronic condition," "special health care needs," "medical complex condition," "complex care needs," "developmental disability," "intellectual disability," "mental health condition," "emotional disabilities," "physical disabilities," "chronic illness," and "chronic condition." METHODS: The following databases will be accessed for this health care transition scoping review: CINAHL, Cochrane CENTRAL, Embase, Ovid MEDLINE, PsycINFO, and Web of Science. Relevant gray literature will be accessed as well. The Covidence software platform will be used to review citations and full-text articles. Two reviewers will independently review abstracts and full texts of studies, and extract data using the data extraction tool. Any conflicts will be resolved with a third reviewer. Review findings will be presented in tabular format and narrative synthesis based upon the scoping review objective.

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)0.088
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation 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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.088
Threshold uncertainty score0.467

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0880.072
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0120.015
Bibliometrics0.0200.018
Science and technology studies0.0050.004
Scholarly communication0.0090.009
Open science0.0060.008
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0580.010

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 head0.094
GPT teacher head0.483
Teacher spread0.390 · 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 designSystematic review
Domainnot available
GenreProtocol

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

Citations4
Published2021
Admission routes1
Has abstractyes

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