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Berry N, Machin M, Ainsworth J, Berry K, Edge D, Haddock G, Lewis S, Morris R, Bucci S. Developing a Theory-Informed Smartphone App for Early Psychosis: Learning Points From a Multidisciplinary Collaboration. Front Psychiatry 2020; 11:602861. [PMID: 33362612 PMCID: PMC7758439 DOI: 10.3389/fpsyt.2020.602861] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 10/19/2020] [Indexed: 12/24/2022] Open
Abstract
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.
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Affiliation(s)
- Natalie Berry
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, School of Health Sciences, Manchester Academic Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Matthew Machin
- Division of Informatics Imaging and Data Sciences, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - John Ainsworth
- Division of Informatics Imaging and Data Sciences, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Katherine Berry
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, School of Health Sciences, Manchester Academic Health Sciences, The University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Dawn Edge
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, School of Health Sciences, Manchester Academic Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Gillian Haddock
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, School of Health Sciences, Manchester Academic Health Sciences, The University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Shon Lewis
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, School of Health Sciences, Manchester Academic Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Rohan Morris
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, School of Health Sciences, Manchester Academic Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Sandra Bucci
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, School of Health Sciences, Manchester Academic Health Sciences, The University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
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Drissi N, Ouhbi S, Janati Idrissi MA, Fernandez-Luque L, Ghogho M. Connected Mental Health: Systematic Mapping Study. J Med Internet Res 2020; 22:e19950. [PMID: 32857055 PMCID: PMC7486675 DOI: 10.2196/19950] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/02/2020] [Accepted: 07/28/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Although mental health issues constitute an increasing global burden affecting a large number of people, the mental health care industry is still facing several care delivery barriers such as stigma, education, and cost. Connected mental health (CMH), which refers to the use of information and communication technologies in mental health care, can assist in overcoming these barriers. OBJECTIVE The aim of this systematic mapping study is to provide an overview and a structured understanding of CMH literature available in the Scopus database. METHODS A total of 289 selected publications were analyzed based on 8 classification criteria: publication year, publication source, research type, contribution type, empirical type, mental health issues, targeted cohort groups, and countries where the empirically evaluated studies were conducted. RESULTS The results showed that there was an increasing interest in CMH publications; journals were the main publication channels of the selected papers; exploratory research was the dominant research type; advantages and challenges of the use of technology for mental health care were the most investigated subjects; most of the selected studies had not been evaluated empirically; depression and anxiety were the most addressed mental disorders; young people were the most targeted cohort groups in the selected publications; and Australia, followed by the United States, was the country where most empirically evaluated studies were conducted. CONCLUSIONS CMH is a promising research field to present novel approaches to assist in the management, treatment, and diagnosis of mental health issues that can help overcome existing mental health care delivery barriers. Future research should be shifted toward providing evidence-based studies to examine the effectiveness of CMH solutions and identify related issues.
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Affiliation(s)
- Nidal Drissi
- Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.,National School For Computer Science, Mohammed V University in Rabat, Rabat, Morocco
| | - Sofia Ouhbi
- Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates
| | | | | | - Mounir Ghogho
- TICLab, International University of Rabat, Rabat, Morocco
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