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Record W2894785530 · doi:10.1097/nur.0000000000000407

A Best Practice Initiative to Optimize Transfer of Young Adults With Osteogenesis Imperfecta From Child to Adult Healthcare Services

2018· review· en· W2894785530 on OpenAlexaboutno aff
Jaimie Isabel Carrier, Maia Siedlikowski, Khadidja Chougui, Sylvie-Anne Plourde, Corinne Mercier, Gloria Thevasagayam, Marie-Élaine Lafrance, Trudy Wong, Claudette Bilodeau, Alisha Michalovic, Kelly Thorstad, Frank Rauch, Argerie Tsimicalis

Bibliographic record

VenueClinical Nurse Specialist · 2018
Typereview
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsOsteogenesis imperfectaHealth careMedicineKnowledge transferTransition (genetics)Clinical PracticeNursingMedical educationKnowledge managementComputer sciencePolitical science

Abstract

fetched live from OpenAlex

PURPOSE: The aims of this study were (1) to review the current body of knowledge on the transition experiences of adolescents with osteogenesis imperfecta (OI) and appraise the evidence available on transfer summary tools, (2) to develop guidelines for the successful transition of adolescents with OI from child to adult healthcare services, and (3) to create a transfer tool tailored to adolescents with OI. DESIGN AND METHODS: This knowledge synthesis study was overseen by an interprofessional expert task force at Shriners Hospitals for Children-Canada and entailed (1) review of the literature, (2) development of guidelines, and (3) creation of a tool. RESULTS: The tool was created from evidence compiled from case reports, clinical examples, and nonexperimental studies. CONCLUSION: The transfer tool proposes guidelines designed to facilitate a smooth transition from child to adult healthcare services. It also offers creation of a clinically meaningful, person-focused, OI transfer tool that may in turn help improve the transition experience for adolescents. This study significantly contributes to the dearth of literature on transition experiences in OI and on transfer tools in general. Future research is needed to evaluate the implementation and evaluation of the OI transfer tool in practice.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.832
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.003

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 head0.116
GPT teacher head0.501
Teacher spread0.385 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2018
Admission routes1
Has abstractyes

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