Feedback based on experience sampling data: Examples of current approaches and considerations for future research

Area of Science:

• Psychological Assessment
• Clinical Informatics
• Digital Health

Background:

• Experience Sampling Method (ESM) and Ecological Momentary Assessment (EMA) collect dynamic, personal data in daily life.
• ESM-based feedback is being explored as a clinical tool to enhance shared decision-making.
• Knowledge gaps exist regarding the generation, utilization, and implementation of ESM-based feedback.

Purpose of the Study:

• To present ongoing ESM projects utilizing feedback within the Belgian-Dutch research network.
• To summarize researcher experiences with ESM-based feedback in diverse patient populations.
• To identify key aspects for effective ESM-based feedback implementation.

Main Methods:

• Review of 15 ongoing ESM projects providing feedback to patients.
• Qualitative data synthesis from 8 experienced ESM researchers.
• Analysis of practical considerations for ESM-based feedback delivery.

Main Results:

• Training for healthcare professionals and researchers is crucial.
• Online interfaces and graphical visualizations aid data presentation.
• Face-to-face patient interaction is vital for discussing data relevance and implications.

Conclusions:

• ESM-based feedback holds significant potential for clinical applications.
• Effective implementation requires specific training, technological support, and patient-centered communication.
• Future research should focus on developing consensus-based guidelines for ESM-based feedback.