TY - JOUR
T1 - User engagement in a randomised controlled trial for a digital health intervention for early psychosis (Actissist 2.0 trial)
AU - Hassan, Lamiece
AU - Eisner, Emily
AU - Berry, Katherine
AU - Emsley, Richard
AU - Ainsworth, John
AU - Lewis, Shôn
AU - Haddock, Gillian
AU - Edge, Dawn
AU - Bucci, Sandra
N1 - Funding Information:
The work was supported by the Medical Research Council Developmental Pathway Funding Scheme (grant number MR/P026664/1 ) and was supported by the University of Manchester, Greater Manchester Mental Health NHS Foundation Trust , Pennine Care NHS Foundation Trust and the Clinical Research Network .
Funding Information:
Bucci is supported by a National Institute for Health Research (NIHR) Research Professorship. Bucci also reports research funding from the Wellcome Trust .
Publisher Copyright:
© 2023
PY - 2023/11
Y1 - 2023/11
N2 - Digital Health Interventions (DHIs) can help support people with mental health problems. Achieving satisfactory levels of patient engagement is a crucial, yet often underexplored, pre-requisite for health improvement. Actissist is a co-produced DHI delivered via a smartphone app for people with early psychosis, based on Cognitive Behaviour Therapy principles. This study describes and compares engagement patterns among participants in the two arms of the Actissist 2.0 randomised controlled trial. Engagement frequency and duration were measured among participants using the Actissist app in the intervention arm (n = 87) and the ClinTouch symptom monitoring only app used as the control condition (n = 81). Overall, 47.1 % of Actissist and 45.7 % of ClinTouch users completed at least a third of scheduled alerts while active in the study. The mean frequency (77.1 versus 60.2 total responses) and the median duration (80 versus 75 days until last response) of engagement were not significantly higher among Actissist users compared to ClinTouch users. Older age, White ethnicity, using their own smartphone device and, among Actissist users, an increased sense of therapeutic alliance were significantly associated with increased engagement. Through exploiting detailed usage data, this study identifies possible participant-level and DHI-level predictors of engagement to inform the practical implementation of future DHIs.
AB - Digital Health Interventions (DHIs) can help support people with mental health problems. Achieving satisfactory levels of patient engagement is a crucial, yet often underexplored, pre-requisite for health improvement. Actissist is a co-produced DHI delivered via a smartphone app for people with early psychosis, based on Cognitive Behaviour Therapy principles. This study describes and compares engagement patterns among participants in the two arms of the Actissist 2.0 randomised controlled trial. Engagement frequency and duration were measured among participants using the Actissist app in the intervention arm (n = 87) and the ClinTouch symptom monitoring only app used as the control condition (n = 81). Overall, 47.1 % of Actissist and 45.7 % of ClinTouch users completed at least a third of scheduled alerts while active in the study. The mean frequency (77.1 versus 60.2 total responses) and the median duration (80 versus 75 days until last response) of engagement were not significantly higher among Actissist users compared to ClinTouch users. Older age, White ethnicity, using their own smartphone device and, among Actissist users, an increased sense of therapeutic alliance were significantly associated with increased engagement. Through exploiting detailed usage data, this study identifies possible participant-level and DHI-level predictors of engagement to inform the practical implementation of future DHIs.
KW - Humans
KW - Psychotic Disorders/therapy
KW - Cognitive Behavioral Therapy
KW - Mobile Applications
KW - Smartphone
KW - Patient Participation
UR - http://www.scopus.com/inward/record.url?scp=85174151085&partnerID=8YFLogxK
U2 - 10.1016/j.psychres.2023.115536
DO - 10.1016/j.psychres.2023.115536
M3 - Article
C2 - 37857132
SN - 0165-1781
VL - 329
JO - Psychiatry Research
JF - Psychiatry Research
M1 - 115536
ER -