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Reducing patient burden in experience sampling studies: A simulation study to validate the personalized missingness

J Jongerling1, M P J Schellekens2, M Bolsinova1

  • 1Department of Methodology and Statistics, Tilburg University.

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Summary
This summary is machine-generated.

Personalized treatment needs detailed patient data, but intensive methods cause high burden. A new personalized missingness design minimizes patient effort while capturing complex symptom dynamics for better care.

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Area of Science:

  • Psychology
  • Medical Informatics
  • Health Services Research

Background:

  • Personalized treatment relies on understanding complex disorder dynamics.
  • Intensive longitudinal methods (e.g., experience sampling) provide rich data but cause significant patient burden, especially for those with chronic fatigue or psychological disorders.
  • Current solutions using single-item measures are insufficient for capturing complex conditions.

Purpose of the Study:

  • To develop and validate a novel personalized missingness design.
  • To balance the need for comprehensive longitudinal data with minimizing patient burden.
  • To improve the feasibility of intensive data collection for personalized treatment.

Main Methods:

  • Developed a personalized missingness design presenting individualized, time-varying subsets of items.
  • Utilized multilevel factor analyses to identify the most informative item sets.
  • Validated the design through expert-informed simulations, tailored to psycho-oncology patients.

Main Results:

  • The personalized missingness design effectively balances data richness and patient burden.
  • Multilevel factor analyses identified dynamic, informative item sets.
  • Simulations confirmed the design's validity for capturing complex symptom dynamics.

Conclusions:

  • The personalized missingness design offers a viable solution to the data collection burden in intensive longitudinal studies.
  • This approach can be broadly applied to psychological symptom measurement and personalized treatment, including cognitive behavioral therapy.
  • The design is slated for implementation in the mPath experience sampling app.