Developing a Theory-Informed Smartphone App for Early Psychosis

Learning Points From a Multidisciplinary Collaboration

Datos Bibliográficos

ID15524918
AutoresNatalie Berry (0000-0001-7414-1541, University of Manchester), Matthew Machin (0000-0002-9692-4552, University of Manchester), John Ainsworth (0000-0002-2187-9195, University of Manchester), Keith Berry (0000-0002-7399-5462, Manchester Academic Health Science Centre), Katherine Berry (0000-0001-5422-5115), Dawn Edge (0000-0003-1139-6613, University of Manchester), Gillian Haddock (0000-0001-5293-2772, University of Manchester), Shôn Lewis (0000-0003-1861-4652, Manchester Academic Health Science Centre), Rohan Morris (0000-0003-1588-9845, Manchester Academic Health Science Centre), Sandra Bucci (0000-0002-6197-5333, Greater Manchester Mental Health NHS Foundation Trust, autor de correspondencia)
Año2020
Volumen11
Páginas602861-602861
Fecha de publicación2020-12-10
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2020.602861
PMID33362612
OpenAlexW3111726384
IdiomaEN
Citas recibidas4
Referencias citadas42

Background: Actissist is a smartphone app designed to deliver an intervention grounded in cognitive behavior therapy for early psychosis. Actissist was developed by a multidisciplinary team of academics, clinicians, experts by experience and software engineers. Actissist has been tested in two trials, the first a proof-of-concept trial where Actissist was safe, acceptable and feasible, the second, a powered randomized controlled trial. Objective: This article describes how our multidisciplinary team designed and developed Actissist. This article describes: (i) how Actissist was informed by initial qualitative interviews and focus groups and an expert reference group; (ii) refinements made to the app based on ongoing user feedback; (iii) successes and challenges encountered; and (iv) learning points and recommendations for involving stakeholders in digital health interventions. Methods: Expert reference group meetings informed the development of Actissist and design of subsequent trials, which included individuals with lived experience of psychosis, clinicians, academics, computer scientists and software engineers. Person-centered stakeholder involvement was promoted using focus groups and qualitative interviews prior to the development of the app, which informed version one of Actissist. Interviews were carried out with participants who had used Actissist. Two further versions of Actissist were developed following additional rounds of testing. Results: Multidisciplinary working throughout the Actissist project led to the development, inclusion and improvement of the app design and content. These changes and features included non-directive and compassionate content, co-designed recovery videos, relaxation exercises, psychoeducation material, ability to "favorite" areas of the app that users found helpful, and goal-setting. Challenges to collaborative working included discrepancies between what stakeholders want and what is technically possible to deliver, resource pressures, trying to deliver desired features within the boundaries of fundamental trial design considerations, and power imbalances associated with multidisciplinary working. Conclusions: The involvement of stakeholders in the design and development and delivery of Actissist has been fundamental to our development approach. Through this collaborative process, we have identified different perspectives and ideas that would have not been generated by the research team alone. Clinical Trial Registrations: Proof-of-concept trial: http://www.isrctn.com/ISRCTN34966555 Fully-powered randomized controlled trial: https://www.isrctn.com/ISRCTN76986679

Human–computer interaction · Medical education · Mobile apps · Multidisciplinary approach · Multimedia · Psychiatry · Psychosis · Psychotherapist · Smartphone app · Smartphone application · Sociology · World Wide Web · Computer Science · Digital Mental Health Interventions · Medicine · Mental Health and Patient Involvement · Psychology · Schizophrenia research and treatment