PsyMetRiC is getting bigger and better.
Bear with us while we implement some big changes. We'll be back soon!
To stay informed of our progress, register your email address below.
Bear with us while we implement some big changes. We'll be back soon!
To stay informed of our progress, register your email address below.
Welcome to the Psychosis Metabolic Risk Calculator App – an innovative tool for displaying estimated cardiometabolic risk in young people with psychosis.
Benjamin I. Perry
Emanuele F. Osimo
Shuqing Si
Clara Lewis
Ben Laws
Karla Hitchins
Jasmine Hundal
James Hotham
Joie Ensor
Graham M. Murray
Simon J. Griffin
Golam M. Khandaker
David Shiers OBE
Richard I.G. Holt
Peter B. Jones
Xiaoxuan Liu
Alastair K. Denniston
Nathalia Garrido-Torres
Benedicto Crespo-Facorro
Frederik Vandenberghe
Chin B. Eap
Jaakko Keinänen
Saana Eskelinen
Version:
Manufacturer:
University of Birmingham Enterprise Limited
University of Birmingham, Edgbaston, Birmingham, B15 2TT
Date of Last Update:
Instructions:
Consult this page and the embedded help pages for correct use.
Warning:
PsyMetRiC is designed to inform clinical decisions but must not drive them. Clinical decisions should rely on a range of information including patient preference.
Performance of PsyMetRiC is reliant upon an internet connection.
Intended Use:
PsyMetRiC is a web-based clinical decision support tool intended for use by qualified health professionals. It calculates and displays estimates of the likelihood of
developing cardiometabolic outcomes—specifically, weight gain within one year, metabolic syndrome within six years, and type 2 diabetes within ten+ years—in young adults aged 16–35 with a psychotic disorder.
The information is intended to inform, not drive, clinical management and to support shared decision-making. PsyMetRiC does not screen, diagnose, triage, prioritize,
alert, or determine any clinical action; it does not provide treatment recommendations or diagnostic outputs, and it contains no embedded clinical thresholds or
risk categories. It is not intended for time-critical or emergency use.
Accompanying documentation describes the basis of the estimates (inputs, model approach, validation, and limitations) to allow independent clinical review.
Inputs are transmitted securely to the server, processed transiently in memory, and then discarded. No patient identifiable data are stored.
Classification: Class I Medical Device under UK MDR 2002
Serious Incident Reporting:
If a user experiences a serious incident, this should be reported to the developers through either the feedback form on this app, at [email protected], or to the MHRA.