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Record W4213323543 · doi:10.1186/s12913-022-07617-y

Terminology and descriptions of navigation and related practices for children with neurodisability and their families: a scoping review

2022· review· en· W4213323543 on OpenAlexafffund
Emily Gardiner, Vivian Wong, Grace A. Lin, Anton R. Miller

Bibliographic record

VenueBMC Health Services Research · 2022
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsSunny Hill Health Centre for ChildrenBC Children's HospitalQueen's UniversityUniversity of British Columbia
FundersKids Brain Health NetworkSunny Hill FoundationAzrieli FoundationBC Children's Hospital
KeywordsCINAHLTerminologyMEDLINEDiversity (politics)Nursing researchMedicineHealth informaticsInclusion (mineral)Grey literaturePopulationNursingMedical educationPsychologyPublic healthPsychological interventionSociologySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Children with neurodisability (ND) represent a significant population with a demonstrated need for coordinated support. Patient navigation has a primary focus on: facilitating access to and connection amongst fragmented systems; as well as the provision of educational and emotional support. Given the distinct needs of children with ND and their families, programs built upon such core concepts could be of great benefit. The diversity of terminology encompassing navigation-related concepts and activities (e.g., care coordination, case management, family support), however, presents challenges to both practice and research. This scoping review examined the terminology and descriptions provided within published articles on navigation-type models for children with ND and their families. METHODS: The scoping review was conducted according to the Joanna Briggs Institute methodology. A preliminary search was completed on PubMed (NCBI), MEDLINE (Ovid) and CINAHL (EBSCO) to identify initial search terms, upon which a full search strategy was developed and executed in MEDLINE (Ovid) and CINAHL (EBSCO). After screening records according to our inclusion and exclusion criteria, a full-text review of relevant articles was conducted and data extracted using a researcher-developed tool. Under close supervision by the research team, study selection was primarily performed by one author. RESULTS: Of the 2597 papers identified, 33 were included in the final review. From the included papers, a total of 49 terms were extracted, 20 of which were unique. Across the diversity of terminology observed, articles provided detailed and rich descriptions characterized by four central domains, namely: (i) what navigation-related resources, supports and services aim to facilitate and (ii) provide; (iii) descriptions of their intended outcomes; as well as (iv) guiding principles. CONCLUSIONS: This scoping review addresses a gap in our knowledge related to the specification of patient navigation and related supports as applied to the specific context of children with ND and their families. Given the particular needs of this population, we propose an empirically-informed integrative model that synthesizes the findings from this scoping review. We suggest that this framework can be used as a guide to the mindful characterization of how supports aiming to connect children and families to needed service are termed and described within future research and 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 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)0.019
metaresearch head score (Gemma)0.082
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: Review · Consensus signal: Review
Teacher disagreement score0.039
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.082
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0390.036
Science and technology studies0.0020.002
Scholarly communication0.0070.007
Open science0.0030.004
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.171
GPT teacher head0.488
Teacher spread0.316 · 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
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

Citations20
Published2022
Admission routes2
Has abstractyes

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