Evidence map›Paper›PMID 31939746›Full record

ArticleJournal of medical Internet research2020

The True Colours Remote Symptom Monitoring System: A Decade of Evolution.

Sarah M Goodday, Lauren Atkinson, Guy Goodwin, Kate Saunders, Matthew South, Clare Mackay, Mike Denis, Chris Hinds, Mary-Jane Attenburrow, Jim Davies and 5 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sarah M Goodday *Department of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-2159-1754
Lauren AtkinsonDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5549-8721
Guy GoodwinDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-1426-2816
Kate SaundersDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-3448-9927
Matthew SouthDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-3192-5853
Clare MackayDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6111-8318
Mike DenisDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-1451-4649
Chris HindsDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-8830-2086
Mary-Jane Attenburrow *Department of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-1248-8248
Jim DaviesBig Data Institute, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-4664-6862
James WelchBig Data Institute, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-1017-1623
William StevensDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-8474-4645
Karen MansfieldDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0342-7926
Juulia SuvilehtoDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-3882-1069
John GeddesDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5281-5960

Funding

Medical Research Council MC_EX_MR/N50192X/1Medical Research Council MC_PC_17215Medical Research Council MR/L023784/1Medical Research Council MR/M024962/1Parkinson's UK J-0901Wellcome Trust
6 · The paper itself

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.

Indexed as

AffectHumansInternetMobile ApplicationsQuality of Lifedigital healthecological momentary assessmentmood disorderssigns and symptomssymptom assessment

Identifiers

PMID31939746
PMCPMC6996723

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.