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

  • Sara Laureen Bartels*
  • , Catherine van Zelst
  • , Bernardo Melo Moura
  • , Naomi E.M. Daniëls
  • , Claudia J.P. Simons
  • , Machteld Marcelis
  • , Fionneke M. Bos
  • , Michelle N. Servaas
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)
112 Downloads (Pure)

Abstract

Methodologies such as the Experience Sampling Method (ESM) or Ecological Momentary Assessment allow the gathering of fine-graded, dynamic, personal data within a patient's daily life. Currently, it is studied whether feedback based on experience sampling data (ESM-based feedback) can be used as a clinical tool to inform shared decision-making in clinical practice. Although the potential of feedback is recognized, little is known on how to generate, use, and implement it. This article (i) presents n = 15 ongoing ESM projects within the Belgian-Dutch network for ESM research wherein ESM-based feedback is provided to various patient populations, and (ii) summarizes qualitative data on experiences with ESM-based feedback of researchers (n = 8) with extensive expertise with ESM (average of 10 years) involved in these ongoing studies. The following aspects appear to be of relevance when providing ESM-based feedback: training for healthcare professionals and researchers, the use of online interfaces and graphical visualizations to present data, and interacting with patients in a face-to-face setting when discussing the contextual relevance and potential implications. Prospectively, research may build on these aspects and create coherent consensus-based guidelines for the use of ESM-based feedback.

Original languageEnglish
Article numbere20084
Number of pages14
JournalHeliyon
Volume9
Issue number9
DOIs
Publication statusPublished - Sept-2023

Keywords

  • Ecological momentary assessment
  • ESM-based feedback
  • Experience sampling method
  • Guidelines
  • Momentary data

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