Journal article
The True Colours remote symptom monitoring system: a decade of evolution
- Abstract:
- The True Colours remote mood monitoring system was developed over a decade ago by researchers, psychiatrists, and software engineers at the University of Oxford to allow patients to report on a range of symptoms via text messages, Web interfaces, or mobile phone apps. The system has evolved to encompass a wide range of measures, including psychiatric symptoms, quality of life, and medication. Patients are prompted to provide data according to an agreed personal schedule: weekly, daily, or at specific times during the day. The system has been applied across a number of different populations, for the reporting of mood, anxiety, substance use, eating and personality disorders, psychosis, self-harm, and inflammatory bowel disease, and it has shown good compliance. Over the past decade, there have been over 36,000 registered True Colours patients and participants in the United Kingdom, with more than 20 deployments of the system supporting clinical service and research delivery. The system has been adopted for routine clinical care in mental health services, supporting more than 3000 adult patients in secondary care, and 27,263 adolescent patients are currently registered within Oxfordshire and Buckinghamshire. The system has also proven to be an invaluable scientific resource as a platform for research into mood instability and as an electronic outcome measure in randomized controlled trials. This paper aimed to report on the existing applications of the system, setting out lessons learned, and to discuss the implications for tailored symptom monitoring, as well as the barriers to implementation at a larger scale.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 205.1KB, Terms of use)
-
- Publisher copy:
- 10.2196/15188
Authors
- Publisher:
- JMIR Publications
- Journal:
- Journal of Medical Internet Research More from this journal
- Volume:
- 22
- Issue:
- 1
- Article number:
- e15188
- Publication date:
- 2020-01-15
- Acceptance date:
- 2019-10-22
- DOI:
- EISSN:
-
1438-8871
- ISSN:
-
1439-4456
- Pmid:
-
31939746
- Language:
-
English
- Keywords:
- Pubs id:
-
1083911
- Local pid:
-
pubs:1083911
- Deposit date:
-
2021-05-18
- ARK identifier:
Terms of use
- Copyright holder:
- Goodday et al.
- Copyright date:
- 2020
- Rights statement:
- © Sarah M Goodday, Lauren Atkinson, Guy Goodwin, Kate Saunders, Matthew South, Clare Mackay, Mike Denis, Chris Hinds, Mary-Jane Attenburrow, Jim Davies, James Welch, William Stevens, Karen Mansfield, Juulia Suvilehto, John Geddes. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.01.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record