Functional Family Therapy for families of youth (age 11–18) with behaviour problems: A systematic review and meta‐analysis

Julia H. Littell, Therese D. Pigott, Karianne H. Nilsen, Jennifer Roberts and Travis K. Labrum

Campbell Systematic Reviews, 2023, vol. 19, issue 3

Abstract: Background Functional Family Therapy (FFT) is a short‐term family‐based intervention for youth with behaviour problems. FFT has been widely implemented in the USA and other high‐income countries. It is often described as an evidence‐based program with consistent, positive effects. Objectives We aimed to synthesise the best available data to assess the effectiveness of FFT for families of youth with behaviour problems. Search Methods Searches were performed in 2013–2014 and August 2020. We searched 22 bibliographic databases (including PsycINFO, ERIC, MEDLINE, Science Direct, Sociological Abstracts, Social Services Abstracts, World CAT dissertations and theses, and the Web of Science Core Collection), as well as government policy databanks and professional websites. Reference lists of articles were examined, and experts were contacted to search for missing information. Selection Criteria We included randomised controlled trials (RCTs) and quasi‐experimental designs (QEDs) with parallel cohorts and statistical controls for between‐group differences at baseline. Participants were families of young people aged 11–18 with behaviour problems. FFT programmes were compared with usual services, alternative treatment, and no treatment. There were no publication, geographic, or language restrictions. Data Collection and Analysis Two reviewers independently screened 1039 titles and abstracts, read all available study reports, assessed study eligibility, and extracted data onto structured electronic forms. We assessed risks of bias (ROB) using modified versions of the Cochrane ROB tool and the What Works Clearinghouse standards. Where possible, we used random effects models with inverse variance weights to pool results across studies. We used odds ratios for dichotomous outcomes and standardised mean differences for continuous outcomes. We used Hedges g to adjust for small sample sizes. We assessed the heterogeneity of effects with χ2 and I2. We produced separate forest plots for conceptually distinct outcomes and for different endpoints (

Date: 2023
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https://doi.org/10.1002/cl2.1324

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Persistent link: https://EconPapers.repec.org/RePEc:wly:camsys:v:19:y:2023:i:3:n:e1324

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