Literature DB >> 24261315

Exploring the recovery concept in bipolar disorder: a decision tree analysis of psychosocial correlates of recovery stages.

Samson Tse1, Greg Murray, Ka-Fai Chung, Larry Davidson, King-Lam Ng, Chong Ho Yu.   

Abstract

OBJECTIVES: The recovery movement has generated interest in the concept of personal recovery, but little attention has been paid to it in relation to bipolar disorder (BD). The aim of this study was to examine personal recovery in BD using a staged model, exploring whether different stages are associated with different psychosocial and clinical profiles.
METHODS: Adults with BD in remission (n = 75) were recruited from an outpatient psychiatric clinic in Hong Kong. Their average age was 45 years, with 11% and 45% working part time and full time, respectively. The data included stages of recovery, sociodemographic characteristics, clinical information, and perceptions of the importance of recovery factors and the resilience-engendering features of health services. Decision tree analysis was used to identify the predictors of stages of recovery, and receiver operating characteristic curves were employed to detect the rates of correct classification within the staged model.
RESULTS: 'Respect, hope, and self-directed empowerment', older age, binge drinking history, early first diagnosis, and 'meaningful role' were all associated with being in a later stage of personal recovery. The first two variables demonstrated better classification accuracy than the last three. Using these variables, the classification accuracy of Stages 2-4 was adequate.
CONCLUSIONS: There are associations between the stage of recovery and psychosocial variables among individuals with BD in remission. Interventions that promote 'respect, hope, and self-directed empowerment' have the potential to facilitate personal recovery from BD.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Chinese; clinical remission; mood disorder; personal recovery

Mesh:

Year:  2013        PMID: 24261315     DOI: 10.1111/bdi.12153

Source DB:  PubMed          Journal:  Bipolar Disord        ISSN: 1398-5647            Impact factor:   6.744


  8 in total

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7.  A Web-Based Positive Psychology App for Patients With Bipolar Disorder: Development Study.

Authors:  Bart Geerling; Saskia M Kelders; Anja W M M Stevens; Ralph W Kupka; Ernst T Bohlmeijer
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8.  What Would Digital Early Intervention for Bipolar Disorder Look Like? Theoretical and Translational Considerations for Future Therapies.

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Journal:  Front Psychiatry       Date:  2019-08-23       Impact factor: 4.157

  8 in total

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