Differences and Similarities Between Functional and Personal Recovery in an Asian Population: A Cluster Analytic Approach.

This study gathers empirical data to test whether two forms of recovery are related: (1) the traditional outcome-based notion of recovery from a mental illness, which is called 'functional recovery,' and (2) the more recent, consumer-based concept of recovery in mental illness, which is called 'pers...

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Publicado en:Psychiatry: Interpersonal & Biological Processes Vol. 77; no. 1; pp. 41 - 57
Autores principales: Tse, Samson, Davidson, Larry, Chung, Ka-fai, Ng, King Lam, Yu, Chong Ho
Formato: Artículo
Publicado: Taylor & Francis Ltd Spring2014
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Acceso en línea:Ver este registro en EBSCOhost
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        10.1521/psyc.2014.77.1.41
      ppf: 41
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        atl: Differences and Similarities Between Functional and Personal Recovery in an Asian Population: A Cluster Analytic Approach.
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          Tse, Samson
          Davidson, Larry
          Chung, Ka-fai
          Ng, King Lam
          Yu, Chong Ho
        affil:
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          aff2
          aff3
          aff4
      su:
        Hong Kong (China)
        Mental illness
        Epidemiology
        Life skills
        Bipolar disorder
        Rehabilitation of people with mental illness
        Psychological tests
        Schizophrenia
        Cross-sectional method
        Case-control method
        Psychology
        Chi-squared test
        Chinese people
        Cluster analysis (Statistics)
        Confidence intervals
        Convalescence
        Research funding
        T-test (Statistics)
        Data analysis
        Data analysis software
        Descriptive statistics
      sug:
        subj:
          Mental illness
          Epidemiology
          Life skills
          Bipolar disorder
          Rehabilitation of people with mental illness
          Psychological tests
          Schizophrenia
          Cross-sectional method
          Case-control method
          Psychology
          Hong Kong (China)
          Chi-squared test
          Chinese people
          Cluster analysis (Statistics)
          Confidence intervals
          Convalescence
          Research funding
          T-test (Statistics)
          Data analysis
          Data analysis software
          Descriptive statistics
      ab: This study gathers empirical data to test whether two forms of recovery are related: (1) the traditional outcome-based notion of recovery from a mental illness, which is called 'functional recovery,' and (2) the more recent, consumer-based concept of recovery in mental illness, which is called 'personal recovery.' A total of 150 Chinese outpatients were recruited, 75 with bipolar disorder and 75 with schizophrenia, as determined by structured clinical interview. Participants were reported to be in clinical remission for at least the previous 6 months by treating psychiatrists. Personal recovery was measured with the Stages of Recovery Scale, and functional recovery was measured with residential and employment status. In addition to clinical and demographic data, self-report measures included functioning (confirmed through chart review) and a survey of the participant's assessment of the importance of various elements of recovery. Personal recovery was significantly correlated with functional recovery; small effect size suggested that the two domains are far from identical. The strength of this correlation was stronger for participants with schizophrenia than for those with bipolar disorder. A cluster analysis also suggested that residential and employment statuses, along with personal recovery scores, were useful in differentiating participants. Patients were more likely to reach better recovery outcomes if they were female, married, had higher family income, and perceived social roles as less important to their recovery. Consistent with the consumer literature, personal recovery is related but still distinct from functional recovery. Personal recovery has more to do with life circumstances than with functioning status alone.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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