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Record W2951916759 · doi:10.11124/jbisrir-2017-003998

Respite care for children and youth with complex care needs and their families: a scoping review protocol

2019· review· en· W2951916759 on OpenAlexaff
Sydney Breneol, Sarah King, Shauna Best, Shelley McKibbon, Janet Curran

Bibliographic record

VenueThe JBI Database of Systematic Reviews and Implementation Reports · 2019
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsKellogg's (Canada)Izaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsRespite carePsychological interventionNursingSpecial needsMedicineInclusion (mineral)PopulationProtocol (science)PsychologyPsychiatryAlternative medicineSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this scoping review is to identify and characterize interventions, programs or models used to deliver respite care services to children and youth with complex care needs and their families. INTRODUCTION: Many children with complex chronic conditions require multifaceted home management plans to address their medical, social and emotional needs. The provision of this care often falls on the parents or primary guardians. Respite care is one strategy to provide families with a break from the demands of caring for a child with complex care needs; however, families commonly face barriers to obtaining respite care services. INCLUSION CRITERIA: This scoping review will consider papers that include children and youth (0-25 years of age, in any location, with complex care needs, medical complexity or complex chronic conditions) and their families. Any interventions, programs or models aimed at delivering respite care services to this population will be included. Studies focusing on support provided at the end of life will be excluded. Only studies published in English will be included. No date limits will be set. METHODS: A search will be conducted in five databases, as well as multiple sources of unpublished literature. The text words contained in the titles and abstracts of relevant articles and index terms will be used to develop a full search strategy. All potentially relevant papers will be retrieved in full. A pre-defined data extraction tool developed by the reviewers will be used, and extracted data will be presented in tabular form accompanied by a narrative summary.

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)0.111
metaresearch head score (Gemma)0.080
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 score0.111
Threshold uncertainty score0.587

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1110.080
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0120.013
Bibliometrics0.0210.016
Science and technology studies0.0060.005
Scholarly communication0.0100.010
Open science0.0070.009
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0630.016

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 head0.137
GPT teacher head0.454
Teacher spread0.318 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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