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The Dangers of Disquiet : A Scoping Review and Bibliometric Analysis of Digital Phenotyping in Suicide Risk Prediction
Theiling, Justus Luis (2025) The Dangers of Disquiet : A Scoping Review and Bibliometric Analysis of Digital Phenotyping in Suicide Risk Prediction.
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| Abstract: | Suicide remains a major global health issue, with current predictive models and interventions showing limited success. Emerging digital phenotyping methods allow for real-time, passive monitoring of behaviour and physiology, offering potential to predict suicidality.This study maps the characteristics of existing research, assesses the associations between and predictive validity of digital phenotyping methods with suicidality, and identifies key research trends, contributors, and themes. This study combines a scoping review and a bibliometric analysis. Sleep and extralinguistic features (for example speech disfluency) showed the strongest associations with suicidality, while combined active and passive sensing methods achieved the highest predictive accuracy (AUC up to 0.84), far surpassing models based on passive data alone (AUC = 0.56). The bibliometric analysis revealed exponential growth in publication output after 2018 and a Western-centric authorship pattern. Combining passive sensor data with active self-reports further improves predictive accuracy, with reported AUC values reaching up to 0.84. The evidence is constrained by WEIRD sampling biases and critical ethical oversights, limiting generalisability. Future progress requires validating passive models that can trigger targeted, low-burden interventions within globally representative and ethically-sound frameworks. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 77 psychology |
| Programme: | Psychology MSc (66604) |
| Link to this item: | https://purl.utwente.nl/essays/107594 |
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