Participant Engagement and Data Compliance in Remote Digital Studies for ADHD, Autism, and Eating Disorders

The rapid advancement of digital technologies has facilitated the recruitment and remote monitoring of large, diverse populations in health research. However, inconsistent participant engagement and attrition over time can significantly compromise the reliability and generalisability of insights derived from remotely collected health data. We present findings on long-term retention and engagement patterns from large-scale, multinational observational digital studies on three conditions: Attention-Deficit/Hyperactivity Disorder (ADHD), Autism, and Eating Disorders. The studies involved 1200 participants; we collected both active data (scheduled surveys) and passive sensor data via Android smartphones and wearable devices, including Fitbit, Empatica EmbracePlus and Oura Ring, over a period of up to two Years. Our results show that a shorter study period, ease of managing wearable devices, and consistent participant engagement substantially enhance the quantity and quality of collected data.

Authors

Institutions

Publication Details

Published
2025-10-12
DOI
https://doi.org/10.1145/3714394.3755880
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Participant Engagement and Data Compliance in Remote Digital Studies for ADHD, Autism, and Eating Disorders

Isabel Yorke, Pauline Conde, Heet Sankesara, Zulqarnain Rashid et al.
Attention Deficit Hyperactivity Disorder
article

Participant Engagement and Data Compliance in Remote Digital Studies for ADHD, Autism, and Eating Disorders

Isabel Yorke, Pauline Conde, Heet Sankesara, Zulqarnain Rashid, Amos Folarin, Yatharth Ranjan, R. Dobson, Alice Barnes, Ulrike Schmidt
article en

Abstract

The rapid advancement of digital technologies has facilitated the recruitment and remote monitoring of large, diverse populations in health research. However, inconsistent participant engagement and attrition over time can significantly compromise the reliability and generalisability of insights derived from remotely collected health data. We present findings on long-term retention and engagement patterns from large-scale, multinational observational digital studies on three conditions: Attention-Deficit/Hyperactivity Disorder (ADHD), Autism, and Eating Disorders. The studies involved 1200 participants; we collected both active data (scheduled surveys) and passive sensor data via Android smartphones and wearable devices, including Fitbit, Empatica EmbracePlus and Oura Ring, over a period of up to two Years. Our results show that a shorter study period, ease of managing wearable devices, and consistent participant engagement substantially enhance the quantity and quality of collected data.

King's College London (GB)
Openalex Percentile: Top 31%
Attention Deficit Hyperactivity Disorder
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Participant Engagement and Data Compliance in Remote Digital Studies for ADHD, Autism, and Eating Disorders — Isabel Yorke, Pauline Conde, et al. · (2025) | TGRS Research Map | TGRS