Measurement of Adverse Events in Studies of Digital Health Interventions for Psychosis: Guidance and Recommendations Based on a Literature Search and Framework Analysis of Standard Operating Procedures.

adverse effects digital health harms psychosis safety schizophrenia

Journal

Schizophrenia bulletin
ISSN: 1745-1701
Titre abrégé: Schizophr Bull
Pays: United States
ID NLM: 0236760

Informations de publication

Date de publication:
29 Apr 2024
Historique:
medline: 29 4 2024
pubmed: 29 4 2024
entrez: 29 4 2024
Statut: aheadofprint

Résumé

Given the rapid expansion of research into digital health interventions (DHIs) for severe mental illness (SMI; eg, schizophrenia and other psychosis diagnoses), there is an emergent need for clear safety measures. Currently, measurement and reporting of adverse events (AEs) are inconsistent across studies. Therefore, an international network, iCharts, was assembled to systematically identify and refine a set of standard operating procedures (SOPs) for AE reporting in DHI studies for SMI. The iCharts network comprised experts on DHIs for SMI from seven countries (United Kingdom, Belgium, Germany, Pakistan, Australia, United States, and China) and various professional backgrounds. Following a literature search, SOPs of AEs were obtained from authors of relevant studies, and from grey literature. A thorough framework analysis of SOPs (n = 32) identified commonalities for best practice for certain domains, along with significant gaps in others; particularly around the classification of AEs during trials, and the provision of training/supervision for research staff in measuring and reporting AEs. Several areas which could lead to the observed inconsistencies in AE reporting and handling were also identified. The iCharts network developed best-practice guidelines and a practical resource for AE monitoring in DHI studies for psychosis, based on a systematic process which identified common features and evidence gaps. This work contributes to international efforts to standardize AE measurement and reporting in this emerging field, ensuring that safety aspects of DHIs for SMI are well-studied across the translational pathway, with monitoring systems set-up from the outset to support safe implementation in healthcare systems.

Sections du résumé

BACKGROUND BACKGROUND
Given the rapid expansion of research into digital health interventions (DHIs) for severe mental illness (SMI; eg, schizophrenia and other psychosis diagnoses), there is an emergent need for clear safety measures. Currently, measurement and reporting of adverse events (AEs) are inconsistent across studies. Therefore, an international network, iCharts, was assembled to systematically identify and refine a set of standard operating procedures (SOPs) for AE reporting in DHI studies for SMI.
DESIGN METHODS
The iCharts network comprised experts on DHIs for SMI from seven countries (United Kingdom, Belgium, Germany, Pakistan, Australia, United States, and China) and various professional backgrounds. Following a literature search, SOPs of AEs were obtained from authors of relevant studies, and from grey literature.
RESULTS RESULTS
A thorough framework analysis of SOPs (n = 32) identified commonalities for best practice for certain domains, along with significant gaps in others; particularly around the classification of AEs during trials, and the provision of training/supervision for research staff in measuring and reporting AEs. Several areas which could lead to the observed inconsistencies in AE reporting and handling were also identified.
CONCLUSIONS CONCLUSIONS
The iCharts network developed best-practice guidelines and a practical resource for AE monitoring in DHI studies for psychosis, based on a systematic process which identified common features and evidence gaps. This work contributes to international efforts to standardize AE measurement and reporting in this emerging field, ensuring that safety aspects of DHIs for SMI are well-studied across the translational pathway, with monitoring systems set-up from the outset to support safe implementation in healthcare systems.

Identifiants

pubmed: 38683836
pii: 7659733
doi: 10.1093/schbul/sbae048
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Schizophrenia International Research Society
Organisme : NHS Foundation Trust
Organisme : Department of Health and Social Care

Investigateurs

Inez Myin-Germeys (I)
Ulrich Reininghaus (U)
Imran Chaudhry (I)
Mario Alvarez (M)
John Gleeson (J)
Eric Granholm (E)
Matthias Schwannauer (M)
Philippa Garety (P)
John Torous (J)
Matteo Cella (M)
Imogen Bell (I)
Evelyne van Aubel (E)
Tayyeba Kiran (T)
Anita Schick (A)
Xiaolong Zhang (X)

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.

Auteurs

Emily Eisner (E)

Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.

Cara Richardson (C)

Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.

Neil Thomas (N)

Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Melbourne, Australia.
Monash Alfred Psychiatry Research Centre, Alfred Hospital, Melbourne, Australia.

Mar Rus-Calafell (M)

Mental Health Research and Treatment Centre, Ruhr-Universität Bochum, Bochum, Germany.

Suzy Syrett (S)

School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
NHS Research Scotland Mental Health Network, Edinburgh, UK.

Joseph Firth (J)

Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.

Andrew Gumley (A)

School of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Amy Hardy (A)

Institute of Psychiatry, Psychology, and Neuroscience; King's College London, London, UK.
South London & Maudsley NHS Foundation Trust, London, UK.

Stephanie Allan (S)

School of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Thomas Kabir (T)

McPin Foundation, London, UK.
Departments of Experimental Psychology & Psychiatry, Oxford University, Oxford, UK.

Thomas Ward (T)

Institute of Psychiatry, Psychology, and Neuroscience; King's College London, London, UK.
South London & Maudsley NHS Foundation Trust, London, UK.

Aansha Priyam (A)

Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.

Sandra Bucci (S)

Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.

Classifications MeSH