Clinical Scorecard: Evaluating User Perspectives on Mood Monitoring and Ambulatory Assessment in Depression: A Systematic Review and Meta-Synthesis
At a Glance
Category
Detail
Condition
Unipolar depression
Key Mechanisms
Active and passive mood monitoring using self-report questionnaires and smartphone/wearable sensor data to assess mood repeatedly in real time and natural settings
Target Population
Individuals with unipolar depression
Care Setting
Clinical mental health care and research settings, including remote and ambulatory environments
Key Highlights
Mood monitoring and ambulatory assessment can be therapeutic and positively perceived by many individuals with depression.
Negative psychological effects from repeated mood assessment are reported and should be monitored and managed.
User experience factors such as usability, engagement, and acceptability are critical to the success of mood monitoring interventions.
Guideline-Based Recommendations
Diagnosis
Use mood monitoring and ambulatory assessment as tools to detect early warning signs of relapse or worsening symptoms in depression.
Management
Incorporate mood monitoring as a self-management intervention to improve insight and facilitate behavior change.
Consider adding therapeutic elements within monitoring protocols to mitigate negative psychological effects.
Monitoring & Follow-up
Regularly assess for negative psychological effects related to repeated mood assessments and their duration.
Monitor user engagement, attrition, and usability to optimize acceptability and effectiveness.
Risks
Be aware of potential negative psychological impacts from frequent mood assessments.
Consider the risk of health inequalities if ambulatory assessment is acceptable only to certain populations.
Patient & Prescribing Data
People with unipolar depression using digital mood monitoring tools
Patients use mood monitoring tools variably; protocols should be tailored to individual needs and preferences to enhance adherence and therapeutic benefit.
Clinical Best Practices
Engage patients in the design and implementation of mood monitoring protocols to ensure relevance and acceptability.
Balance the frequency and intensity of mood assessments to minimize burden and negative effects.
Integrate clinician feedback and support to facilitate effective use of monitoring data in treatment planning.
Use mixed methods to evaluate user experience and refine mood monitoring interventions continuously.
