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Record W4316804494 · doi:10.1016/j.cpr.2023.102251

Effective behaviour change techniques for family and close friends: A systematic review and meta-analysis across the addictions

2023· review· en· W4316804494 on OpenAlexaff
Stephanie Merkouris, Simone N. Rodda, Stephanie R. Aarsman, David C. Hodgins, Nicki A. Dowling

Bibliographic record

VenueClinical Psychology Review · 2023
Typereview
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Calgary
FundersResponsible Gambling FundNew South Wales Government
KeywordsPsychologyPsychological interventionInclusion (mineral)Meta-analysisPsychosocialAddictionSystematic reviewBehaviour changeInclusion and exclusion criteriaClinical psychologyPeer reviewPsychotherapistSocial psychologyMEDLINEPsychiatryAlternative medicineMedicine

Abstract

fetched live from OpenAlex

This systematic review aimed to determine whether the use of specific behaviour change technique (BCT) groups are associated with greater effectiveness for psychosocial interventions delivered to family and close friends (FCFs) impacted by addiction. A systematic search of peer-reviewed and grey literature published until August 2021 identified 32 studies in 38 articles. An established BCT taxonomy (93 BCTs clustered into 16 groups) was adapted (inclusion of seven additional BCT groups) and applied to 57 interventions. The meta-analyses indicated that some, but not all, FCF outcomes were improved by the exclusion of BCTs within several groups (Reward and Threat, Scheduled Consequences, Confrontation of the Addicted Person to Engage in Treatment, and Goals and Planning) and inclusion of BCTs within the Restoring a Balanced Lifestyle group. Addicted person outcomes were improved by the inclusion of some BCTs within several groups (Repetition and Substitution, Reward and Threat, Scheduled Consequences, and Restoring a Balanced Lifestyle). Relationship functioning outcomes were improved by the inclusion of BCTs within the Confrontation of the Addicted Person to Engage in Treatment group. Future research involving the development and evaluation of numerous interventions or comprehensive multi-component interventions that can address the various needs of FCFs, without counteracting them, is required.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0160.009
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.710
GPT teacher head0.682
Teacher spread0.028 · 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

Citations9
Published2023
Admission routes1
Has abstractyes

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