Personalising Outcome Measurement in Substance Misuse Treatment: the Feasibility and Psychometrics of Two Individualised Outcome Measures.

Individualised information in substance misuse treatment complements standardised outcome measures. However, few studies investigate the use of individualised measures and their robustness in terms of quantifying outcomes. In this study, we analysed the psychometrics and feasibility of two individua...

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Publicado en:International Journal of Mental Health & Addiction Vol. 20; no. 2; pp. 704 - 719
Autores principales: Alves, Paula, Faísca, Luís, Sales, Célia M. D., Ashworth, Mark
Formato: Artículo
Publicado: Springer Nature Apr2022
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2022
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      pub: Springer Nature
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        155870739
        10.1007/s11469-020-00396-9
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      tig:
        atl: Personalising Outcome Measurement in Substance Misuse Treatment: the Feasibility and Psychometrics of Two Individualised Outcome Measures.
      aug:
        au:
          Alves, Paula
          Faísca, Luís
          Sales, Célia M. D.
          Ashworth, Mark
        affil:
          Research Department of Primary Care & Population Health, University College London, Upper 3rd Floor, Royal Free Campus, Rowland Hill Street, NW3 2PF, London, UK
          Faculty of Human and Social Sciences, Department of Psychology and Educational Sciences, Algarve University, Estr. da Penha 139, 8005-139, Faro, Portugal
          Faculty of Psychology and Education Sciences at the University of Porto (FPCEUP), Center for Psychology at the University of Porto (CPUP), University of Porto, R. Alfredo Allen, 4200-135, Porto, Portugal
          School of Population Health and Environmental Sciences, King's College London, Guy's Campus, Addison House, SE1 1UL, London, UK
      su:
        Psychometrics
        Drug abuse treatment
        Cronbach's alpha
        Test validity
      sug:
        subj:
          Psychometrics
          Drug abuse treatment
          Psychiatric and Substance Abuse Hospitals
          Residential Mental Health and Substance Abuse Facilities
          Cronbach's alpha
          Test validity
      keyword:
        Individualised outcome measures
        Personalised assessment
        PQ
        PSYCHLOPS
        Substance misuse treatment
        Individualised outcome measures
        Personalised assessment
        PQ
        PSYCHLOPS
        Substance misuse treatment
      ab: Individualised information in substance misuse treatment complements standardised outcome measures. However, few studies investigate the use of individualised measures and their robustness in terms of quantifying outcomes. In this study, we analysed the psychometrics and feasibility of two individualised outcome measures (PQ and PSYCHLOPS). We followed a cross-sectional methodology, administering the individualised measures and three additional standardised measures (TOP, a measure of psychological health within addiction services; PHQ-9; CORE-OM) to a sample of 93 patients entering substance misuse treatment in four clinical services. The results showed high levels of patient acceptability of the two individualised measures (response rates > 95%). The internal reliability was good for both PQ and PSYCHLOPS (Cronbach's alpha,.79 and.72, respectively). Convergent validity of PQ with standardised measures was weak: Pearson's r values for TOP (psychological health), PHQ-9 and CORE-OM were.21,.22 and.27, respectively. In contrast, convergent validity of PSYCHLOPS was moderate: r =.40,.39 and.50, respectively. Convergence between PQ and PSYCHLOPS was weak (r =.28). Experience of previous treatment episodes was associated with higher PQ and PSYCHLOPS scores; PSYCHLOPS but not PQ scores were higher among those opting to complete the questionnaires in written rather than verbal format. Our findings demonstrated that PQ and PSYCHLOPS are reliable and feasible individualised outcome measures for use in substance misuse treatment units, although the lack of strong convergent validity indicates that they may be measuring different underlying constructs. Optimal outcome measurement may involve combining individualised and standardised measures.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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