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A systematic review of interventions to support siblings of children with chronic illness or disability

2010· review· en· W1553160472 on OpenAlexaff
Lisa Hartling, Andrea Milne, Lisa Tjosvold, Dawn Wrightson, Jennifer Gallivan, Amanda S. Newton

Bibliographic record

VenueJournal of Paediatrics and Child Health · 2010
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsAlberta Health ServicesStollery Children's HospitalUniversity of AlbertaWomen and Children’s Health Research Institute
Fundersnot available
KeywordsMedicineSiblingPsychosocialData extractionPsychological interventionMoodAnxietySystematic reviewClinical psychologyMEDLINEPsychiatryDevelopmental psychology

Abstract

fetched live from OpenAlex

AIM: Chronic illness or disability in children can have a deleterious effect on the psychosocial health of well siblings. This systematic review synthesised evidence from studies evaluating sibling-oriented care aimed at improving behavioural and emotional outcomes in well siblings of children with chronic illness or disability. METHODS: Twenty electronic databases were searched. Study selection, data extraction and assessment of methodological quality were performed by two independent reviewers. RESULTS: Five controlled and nine uncontrolled studies were included. In higher-quality controlled trials, benefits of sibling-oriented care included reduced anxiety, improved mood and behavioural adjustment; however, these findings were not consistently demonstrated across studies. Study differences made it difficult to determine which sibling care features were most salient. CONCLUSIONS: Study findings highlight the potential for enhancing emotional and behavioural outcomes in well siblings. Future evaluations need to clearly identify the intended purpose of the care (what improvements are intended) and which types of siblings are most likely to benefit. This approach may yield more consistent and clinically important results.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.408
Teacher spread0.361 · 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.

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

Citations101
Published2010
Admission routes1
Has abstractyes

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