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Bipolar Disorder01:30

Bipolar Disorder

46
Bipolar disorder is a chronic mental health condition marked by significant mood fluctuations, including episodes of mania and depression. Elevated energy levels, heightened mood or irritability, impulsive behavior, reduced sleep needs, rapid speech, racing thoughts, inflated self-esteem, and distractibility characterize mania. Individuals with bipolar disorder often alternate between depressive and manic states, with periods of emotional stability lasting an average of six months to a year.
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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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  11. Improving The Utility, Safety, And Ethical Use Of A Passive Mood-tracking App For People With Bipolar Disorder Using Coproduction: Qualitative Focus Group Study

Improving the Utility, Safety, and Ethical Use of a Passive Mood-Tracking App for People With Bipolar Disorder Using Coproduction: Qualitative Focus Group Study

Laurence Astill Wright1,2, Matthew Moore1,3, Stuart Reeves4

  • 1Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

JMIR Formative Research
|February 7, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

People with bipolar disorder (BD) want to use passive mood monitoring technology for self-management and better insight into triggers. Coproduction is key to developing useful, safe digital tools that meet diverse needs and preferences.

Area of Science:

  • Digital health
  • Mental health technology
  • Bipolar disorder research

Background:

  • Coproduction of digital health tools, like passive mood monitoring, enhances utility and safety for users.
  • Mood monitoring is common in bipolar disorder (BD) management, with potential for digital innovation.

Purpose of the Study:

  • To explore how a passive behavioral monitoring platform meets the needs of people with BD.
  • To consider purpose, function, diversity of need, preferences, risks, and mitigation strategies through coproduction.

Main Methods:

  • Iterative coproduction process involving 17 people with BD.
  • Three web-based focus groups analyzed thematically.
  • Results cross-checked by individuals with lived experience of BD.
Keywords:
EMAbipolar disorderecological momentary assessmentimplementation

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Main Results:

  • Six themes emerged: purpose of app use, desired features, usage timing, perceived risks, and data sharing preferences.
  • Participants desired self-management tools for greater insight and trigger identification.
  • Key features include crisis plans and controlled data sharing.

Conclusions:

  • People with BD are interested in passive mood monitoring for self-management and understanding triggers.
  • Future passive mood monitoring technology development should prioritize user-centered design and not assume mandatory integration with formal mental health services.
mobile phone
mood monitoring
passive EMA
passive ecological momentary assessment
qualitative