Smartphone-Enhanced Symptom Management In Psychosis: Open, Randomized Controlled Trial.


Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
13 08 2020
Historique:
received: 13 11 2019
accepted: 16 02 2020
revised: 04 02 2020
entrez: 14 8 2020
pubmed: 14 8 2020
medline: 16 1 2021
Statut: epublish

Résumé

Improving recovery from acute symptoms and preventing relapse are two significant challenges in severe mental illness. We developed a personalized smartphone-based app to monitor symptoms in real time and validated its acceptance, reliability, and validity. To assess (i) acceptability of continuous monitoring to SMI patients and health professionals over 3 months; (ii) impact of active self-monitoring on positive psychotic symptoms assessed at 6 and 12 weeks; and (iii) the feasibility of detecting early warning signs of relapse. The active symptom monitoring smartphone app was built into an end-to-end system in two NHS Trusts to enable real-time symptom self-monitoring and detection by the clinical team of early signs of relapse in people with severe mental illness. We conducted an open randomized controlled trial of active symptom monitoring compared to usual management to assess: (i) acceptability and safety of continuous monitoring over 3 months; (ii) impact of active self-monitoring on positive psychotic symptoms assessed at 6 and 12 weeks; (iii) feasibility of detecting early warning signs of relapse communicated to the healthcare staff via an app streaming data to the electronic health record. Eligible participants with a Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) diagnosis of schizophrenia and related disorders, and a history of relapse within the previous two years were enrolled from an early intervention team and a community mental health team. Of 181 eligible patients, 81 (45%) consented and were randomized to either active symptom monitoring or management as usual. At 12 weeks, 90% (33/36) of those in the active monitoring group continued to use the system and exhibited an adherence rate (defined as responding to >33% of alerts) of 84% (30/36}. Active symptom monitoring was associated with no difference on the empowerment scale in comparison to the usual management group at 12 weeks. The pre-planned intent-to-treat analysis of the primary outcome, a positive score on the Positive and Negative Syndrome Scale (PANSS) scale, showed a significant reduction in the active symptom monitoring group over 12 weeks in the early intervention center. Alerts for personalized early warning signs of relapse were built into the workflows of both NHS Trusts, and 100% of health professional staff used the system in a new digital workflow. Qualitative analyses supported the acceptability of the system to participants and staff. The active smartphone monitoring system is feasible and was accepted by users in a 3-month study of people with severe mental illness, with surprisingly high levels of adherence. App use was associated with psychotic symptom improvement in recent-onset participants, but not those with longstanding illness, supporting the notion of improved self-management. When built into clinical management workflows to enable personalized alerts of symptom deterioration, the app has demonstrated utility in promoting earlier intervention for relapse. ISRCTN Registry ISRCTN88145142; http://www.isrctn.com/ISRCTN88145142.

Sections du résumé

BACKGROUND
Improving recovery from acute symptoms and preventing relapse are two significant challenges in severe mental illness. We developed a personalized smartphone-based app to monitor symptoms in real time and validated its acceptance, reliability, and validity.
OBJECTIVE
To assess (i) acceptability of continuous monitoring to SMI patients and health professionals over 3 months; (ii) impact of active self-monitoring on positive psychotic symptoms assessed at 6 and 12 weeks; and (iii) the feasibility of detecting early warning signs of relapse.
METHODS
The active symptom monitoring smartphone app was built into an end-to-end system in two NHS Trusts to enable real-time symptom self-monitoring and detection by the clinical team of early signs of relapse in people with severe mental illness. We conducted an open randomized controlled trial of active symptom monitoring compared to usual management to assess: (i) acceptability and safety of continuous monitoring over 3 months; (ii) impact of active self-monitoring on positive psychotic symptoms assessed at 6 and 12 weeks; (iii) feasibility of detecting early warning signs of relapse communicated to the healthcare staff via an app streaming data to the electronic health record. Eligible participants with a Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) diagnosis of schizophrenia and related disorders, and a history of relapse within the previous two years were enrolled from an early intervention team and a community mental health team.
RESULTS
Of 181 eligible patients, 81 (45%) consented and were randomized to either active symptom monitoring or management as usual. At 12 weeks, 90% (33/36) of those in the active monitoring group continued to use the system and exhibited an adherence rate (defined as responding to >33% of alerts) of 84% (30/36}. Active symptom monitoring was associated with no difference on the empowerment scale in comparison to the usual management group at 12 weeks. The pre-planned intent-to-treat analysis of the primary outcome, a positive score on the Positive and Negative Syndrome Scale (PANSS) scale, showed a significant reduction in the active symptom monitoring group over 12 weeks in the early intervention center. Alerts for personalized early warning signs of relapse were built into the workflows of both NHS Trusts, and 100% of health professional staff used the system in a new digital workflow. Qualitative analyses supported the acceptability of the system to participants and staff.
CONCLUSIONS
The active smartphone monitoring system is feasible and was accepted by users in a 3-month study of people with severe mental illness, with surprisingly high levels of adherence. App use was associated with psychotic symptom improvement in recent-onset participants, but not those with longstanding illness, supporting the notion of improved self-management. When built into clinical management workflows to enable personalized alerts of symptom deterioration, the app has demonstrated utility in promoting earlier intervention for relapse.
TRIAL REGISTRATION
ISRCTN Registry ISRCTN88145142; http://www.isrctn.com/ISRCTN88145142.

Identifiants

pubmed: 32788150
pii: v22i8e17019
doi: 10.2196/17019
pmc: PMC7453320
doi:

Banques de données

ISRCTN
['ISRCTN88145142']

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e17019

Subventions

Organisme : Medical Research Council
ID : G0901434
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K015516
Pays : United Kingdom

Informations de copyright

©Shon Lewis, John Ainsworth, Caroline Sanders, Charlotte Stockton-Powdrell, Matthew Machin, Pauline Whelan, Richard Hopkins, Zhimin He, Eve Applegate, Richard Drake, Charlie Bamford, Chris Roberts, Til Wykes. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.08.2020.

Références

Psychiatr Serv. 2010 Sep;61(9):933-6
pubmed: 20810594
World Psychiatry. 2017 Oct;16(3):287-298
pubmed: 28941113
Schizophr Bull. 1987;13(2):261-76
pubmed: 3616518
Arch Gen Psychiatry. 1999 Mar;56(3):241-7
pubmed: 10078501
Br J Psychiatry Suppl. 1993 Dec;(22):39-44
pubmed: 8110442
J Med Internet Res. 2013 Apr 05;15(4):e60
pubmed: 23563184
J Ment Health Policy Econ. 2007 Mar;10(1):23-41
pubmed: 17417045
Health Policy. 1990 Dec;16(3):199-208
pubmed: 10109801
BMC Psychiatry. 2012 Oct 17;12:172
pubmed: 23075387
NPJ Digit Med. 2019 Mar 22;2:18
pubmed: 31304366
BMC Psychiatry. 2013 Jan 23;13:34
pubmed: 23343329

Auteurs

Shon Lewis (S)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

John Ainsworth (J)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Caroline Sanders (C)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Charlotte Stockton-Powdrell (C)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Matthew Machin (M)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Pauline Whelan (P)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Richard Hopkins (R)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Zhimin He (Z)

Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, United Kingdom.

Eve Applegate (E)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Richard Drake (R)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Charlie Bamford (C)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Chris Roberts (C)

Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom.

Til Wykes (T)

Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, United Kingdom.
South London and Maudsley NHS Foundation Trust, London, United Kingdom.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH