How to use experience-sampling technology to understand daily functioning: A practical guide for mental health...

Area of Science:

• Mental Healthcare
• Psychological Assessment
• Digital Health

Background:

• Standard mental healthcare assessments focus on symptoms, lacking insight into daily functioning variability and resilience.
• This gap leads to interventions based on incomplete patient information.
• The experience-sampling method (ESM) captures real-time, in-context individual experiences, offering a more comprehensive view.

Purpose of the Study:

• To provide a practical guide for applying the experience-sampling method (ESM) in routine clinical mental healthcare.
• To address the unclear 'how-to' hindering ESM adoption by clinicians and patients.
• To enhance patient assessment and intervention planning by integrating contextual variability and resilience data.

Main Methods:

• The guide integrates empirical research with expert clinical experience.
• It offers practical recommendations for patient engagement, motivation, and customized assessment design.
• Includes instructions for result interpretation and fostering shared decision-making.

Main Results:

• ESM provides a structured, moment-to-moment diary of affect, thoughts, perception, and behavior in daily life.
• It facilitates understanding mental state variations (e.g., anxiety, sleep issues) as adaptive responses to contextual challenges.
• The guide offers actionable strategies for successful ESM implementation in diverse clinical settings.

Conclusions:

• ESM technology holds significant potential for patients with various mental health conditions across different healthcare settings.
• Effective implementation requires clear guidance on patient engagement, tailored assessments, and result interpretation.
• Adopting ESM can lead to more informed and personalized mental healthcare interventions.