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Record W4387296527 · doi:10.1111/dmcn.15764

Caregiver skills training for caregivers of individuals with neurodevelopmental disorders: A systematic review and meta‐analysis

2023· review· en· W4387296527 on OpenAlexaff
Brian Reichow, Cary S. Kogan, Corrado Barbui, Daniel M. Maggin, Erica Salomone, I Smith, M. Taghi Yasamy, Chiara Servili

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2023
Typereview
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Ottawa
FundersAutism SpeaksWorld Health OrganizationU.S. Department of Health and Human Services
KeywordsMeta-analysisRandomized controlled trialSocial skillsParent trainingPsychological interventionPsychologyClinical psychologyInterpersonal communicationDevelopmental psychologyMedicinePsychiatryIntervention (counseling)

Abstract

fetched live from OpenAlex

AIM: To systematically review the effectiveness of caregiver and parent skills training programs, including caregiver-mediated interventions, for caregivers of individuals with neurodevelopmental disorders. METHOD: We conducted a systematic review with a random-effects meta-analysis. We searched 11 electronic databases through July 2021 and used a snowball methodology to locate relevant articles of randomized controlled trials. Effect size estimates were pooled using Hedges' g from data extracted from study reports and through author requests using random-effects meta-analyses for three child outcome categories (child development, adaptive behavior, and problem behavior) and three caregiver outcome categories (parenting skills and knowledge, psychological well-being, and interpersonal family relations). RESULTS: We located 44 910 records, from which 75 randomized controlled trials involving 4746 individuals with neurodevelopmental disorders and their caregivers were included. Random-effects meta-analyses showed improvements in child development (g = 0.30; 99% confidence interval [CI] = 0.07-0.53) and reduction in reported problem behaviors (g = 0.41; 99% CI = 0.24-0.59), but not a statistically significant improvement in adaptive behavior (g = 0.28; 99% CI = -0.42 to 0.98). Caregivers showed improvements in parenting skills and knowledge (g = 0.72; 99% CI = 0.53-0.90), psychological well-being (g = 0.52; 99% CI = 0.34-0.71), and interpersonal family relations (g = 0.76; 99% CI = 0.32-1.20). INTERPRETATION: Caregiver skills training programs benefit both caregivers and children with neurodevelopmental disorders. Skills training programs improve child development and behavior, improve parenting skills, reduce caregiver mental health issues, and improve family functioning. Programs using culturally appropriate training material to improve the development, functioning, and participation of children within families and communities should be considered when caring for children with neurodevelopmental disorders. WHAT THIS PAPER ADDS: Caregiver skills training programs are effective interventions for both caregivers and children. Children with neurodevelopmental disorders benefit from improvements in development and reduction of problematic behaviors. Caregivers benefit from enhanced skills and psychological well-being. Improvements in interpersonal family relationships have also been documented.

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)0.012
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.034
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.023
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.108
GPT teacher head0.387
Teacher spread0.279 · 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 designMeta-analysis
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

Citations25
Published2023
Admission routes1
Has abstractyes

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