Real-world digital implementation of the Psychosis Polyrisk Score (PPS): A pilot feasibility study
Open accessAbstract
BACKGROUND: The Psychosis Polyrisk Score (PPS) is a potential biomarker integrating non-purely genetic risk/protective factors for psychosis that may improve identification of individuals at risk and prediction of their outcomes at the individual subject level. Biomarkers that are easy to administer are direly needed in early psychosis to facilitate clinical implementation. This study digitally implements the PPS and pilots its feasibility of use in the real world. METHODS: The PPS was implemented digitally and prospectively piloted across individuals referred for a CHR-P assessment (n = 16) and healthy controls (n = 66). Distribution of PPS scores was further simulated in the general population. RESULTS: 98.8% of individuals referred for a CHR-P assessment and healthy controls completed the PPS assessment with only one drop-out. 96.3% of participants completed the assessment in under 15 min. Individuals referred for a CHR-P assessment had high PPS scores (mean = 6.2, SD = 7.23) than healthy controls (mean = -1.79, SD = 6.78, p < 0.001). In simulated general population data, scores were normally distributed ranging from -15 (lowest risk, RR = 0.03) to 39.5 (highest risk, RR = 8912.51). DISCUSSION: The PPS is a promising biomarker which has been implemented digitally. The PPS can be easily administered to both healthy controls and individuals at potential risk for psychosis on a range of devices. It is feasible to use the PPS in real world settings to assess individuals with emerging mental disorders. The next phase of research should be to include the PPS in large-scale international cohort studies to evaluate its ability to refine the prognostication of outcomes.
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Environmental exposures can be measured with digital health technologies, but pose more challenges to measure massively, e.g. measurement error, missing data and selection biases may be prominent, and operational definitions of environmental exposures may vary across and even within datasets.
“Environmental exposures can be measured with digital health technologies (electronic medical records, mobile apps) 205 , but pose more challenges to measure massively, e.g. measurement error, missing data and selection biases may be prominent, and operational definitions of environmental exposures may vary across and even within datasets.”
From Preventive psychiatry: a blueprint for improving the mental health of young people (2021) · cites this paper as [205]
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Preventive psychiatry: a blueprint for improving the mental health of young people
Fusar‐Poli, P., Correll, C. U., Arango, C., Berk, M., Patel, V., & Ioannidis, J. P. A. (2021) · World Psychiatry · doi:10.1002/wps.20869 · Cited by 497 · see citing works
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- Authors
- Oliver, D., Spada, G., Englund, A., Chesney, E., Radua, J., Reichenberg, A., Uher, R., McGuire, P., & Fusar-Poli, P.
- Affiliations
- King's College London (GB)
- Dalhousie University (CA)
- ORCID
- Venue
- Schizophrenia Research
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 226
- Pages
- 176-183
- ISSN
- 0920-9964 (ISSN-L)
- PMC
- PMC7774585
- OpenAlex
- W3018500369
- Cited by
- 27
- References
- 53
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 4 · 2020: 2
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Schizophrenia Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Medical Research Council
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- psychosis risk assessment
- MeSH terms
- Feasibility Studies, Humans, Psychotic Disorders, Risk, Cohort Studies
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