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Published on: November 21, 2013
Design decisions and data completeness for experience sampling methods used in psychosis: systematic review
Emilia Deakin1,2,3, Fiona Ng4, Emma Young5
1School of Health Sciences, Institute of Mental Health, University of Nottingham, Triumph Road, Nottingham, NG7 2TU, UK. emilia.deakin@nottingham.ac.uk.
This systematic review identified key design choices that improve adherence in experience sampling method (ESM) studies for people with psychosis. Findings guide better study design and data completeness for mental health research.
Area of Science:
- Psychiatry and Behavioral Sciences
- Digital Health
- Longitudinal Data Analysis
Background:
- Experience sampling method (ESM) is crucial for intensive longitudinal research, but adherence challenges exist in psychosis populations.
- Designing effective ESM studies for psychosis requires a clear typology of methodological choices.
- Lack of standardized reporting hinders data synthesis and methodological rigor in ESM research.
Approach:
- Systematic review of published ESM studies involving individuals with psychosis using digital data collection.
- Constant comparative method for identifying and comparing design decisions.
- Weighted regression analysis to determine predictors of data completeness.
Key Points:
- A typology of ESM design choices was developed, categorized into Study Context, ESM Approach, and ESM Implementation.
- Study design factors influencing data completeness include the type of ESM protocol, study duration, and researcher contact.
- Identified design decisions can enhance data completeness in ESM studies for psychosis.
Conclusions:
- This review offers a framework for understanding and optimizing ESM study designs in psychosis research.
- Evidence-based recommendations for improving data completeness are provided, applicable to various mental health populations.
- Findings aim to enhance the design, reporting, and synthesis of future ESM studies in mental health research.
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