Accessibility settings

This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3482) Web-based and Mobile Health Interventions (4234) Mobile Health (mhealth) (3676) Cost-Effectiveness and Economics (380) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (435) Substance Abuse (561)

Published on in Vol 10 (2026)

This is a member publication of University of Nottingham (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87186, first published .
Prediction of Relapse Using Digital Technology in People in Recovery From Substance Use Disorders: Early Economic Evaluation With a Case Study of the Subreal App

Prediction of Relapse Using Digital Technology in People in Recovery From Substance Use Disorders: Early Economic Evaluation With a Case Study of the Subreal App

Prediction of Relapse Using Digital Technology in People in Recovery From Substance Use Disorders: Early Economic Evaluation With a Case Study of the Subreal App

Authors of this article:

Janet Bouttell1 Author Orcid Image ;   Michał Bartler2 Author Orcid Image ;   Sarah Bolton3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Janet Bouttell   1 , PhD ;   Michał Bartler   2 ;   Sarah Bolton   3 , PhD

1 Faculty of Engineering, University of Nottingham, Nottingham, England, United Kingdom

2 Subreal Limited, London, England, United Kingdom

3 Centre for Healthcare Equipment and Technology Adoption (CHEATA), Nottingham University Hospitals NHS Trust, Nottingham, England, United Kingdom

Corresponding Author: