Feasibility study of integrated model of ultra-high risk screening, prediction and prevention (SPP) for mental illness

Feasibility study of integrated model of ultra-high risk screening, prediction and prevention (SPP) for mental illness | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 16 July 2025 V1 Latest version Share on Feasibility study of integrated model of ultra-high risk screening, prediction and prevention (SPP) for mental illness Authors : jing zhang 0009-0003-7539-2977 , Xianzhu Tu , Jiangnan Deng , and Wenling Chen [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.175268911.11474501/v1 160 views 80 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Objective:Exploring the feasibility of the integrated model of screening prediction prevention (SPP) for mental illness in early identification, accurate prediction, and stratified intervention, providing a basis for the construction of prevention and treatment systems.method Select 100 individuals with extremely high risk of mental illness from the Seventh People’s Hospital of Wenzhou City from January to June 2025 (who meet the clinical high-risk syndrome criteria and biomarker auxiliary indicators), and construct an SPP model:Screening: Integrating multidimensional tools such as clinical symptoms (BPRS/PANSS), psychological assessment (SAS/SDS), biomarkers (genes/MRI/P300), and social functioning (SDSS) to establish a four tiered screening network of ”community school unit hospital”;Prediction: Build a machine learning prediction model based on the random forest algorithm (70% of the training set);Prevention: Implement interventions (psychological education/cognitive-behavioral therapy/low-dose medication) according to risk stratification (low/medium/high risk), and establish a family society doctor collaborative support system.result Predictive performance: The AUC of the random forest model test set (n=30) is 0.85, with an accuracy rate of 78%;Intervention effect: After stratified intervention, the 2-year conversion rate of the low-risk group was 0%, the medium risk group was 8.9%, and the conversion rate of the high-risk drug group (10%) was significantly lower than that of the control group (30%, P<0.05), but 15% showed mild extrapyramidal reactions;Feasibility: Theoretical (interdisciplinary theory matching rate of 89%), technical (data integration and accurate prediction to meet standards), practical (grassroots health capacity support), and policy (in line with the direction of ”Healthy China 2030”) are all feasible.conclusion The SPP model effectively reduces conversion risk through multidimensional screening, intelligent prediction, and hierarchical intervention. In the future, it is necessary to promote data standardization, interdisciplinary talent cultivation, and social cognition enhancement for implementation. Supplementary Material File (manuscript.doc) Download 185.50 KB Information & Authors Information Version history V1 Version 1 16 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords feasibility study multidimensional screening screening-prediction-prevention integration model stratified intervention ultra-high risk of mental illness Authors Affiliations jing zhang 0009-0003-7539-2977 Wenzhou Seventh Peoples Hospital View all articles by this author Xianzhu Tu Wenzhou Seventh Peoples Hospital View all articles by this author Jiangnan Deng Wenzhou Seventh Peoples Hospital View all articles by this author Wenling Chen [email protected] Wenzhou Seventh Peoples Hospital View all articles by this author Metrics & Citations Metrics Article Usage 160 views 80 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation jing zhang, Xianzhu Tu, Jiangnan Deng, et al. Feasibility study of integrated model of ultra-high risk screening, prediction and prevention (SPP) for mental illness. Authorea . 16 July 2025. 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