External validation, recalibration and updating of the OxSATS risk model for suicide after self-harm in England - Report - MDSpire
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Validation and Adjustment of the OxSATS Suicide Risk Model Following Self-Harm in an English Context

  • By

  • Tyra Lagerberg

  • Denis Yukhnenko

  • Maria D L A Vazquez-Montes

  • Thomas R Fanshawe

  • Seena Fazel

  • September 12, 2026

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Validation and Adjustment of the OxSATS Suicide Risk Model Following Self-Harm

Overview

This study externally validates the OxSATS suicide risk model using data from England, demonstrating good discrimination (c-index 0.73) and the need for recalibration due to initial overprediction of suicide risk.

Background

Suicide is a leading cause of death, particularly among young individuals, and prior self-harm is a significant indicator of increased suicide risk. Accurate risk assessment tools are essential for effective clinical decision-making and resource allocation. The OxSATS model, developed in Sweden, aims to provide structured risk estimates following self-harm presentations.

Data Highlights

MetricValue
Individuals studied16,130
Suicides during follow-up106 (0.7%)
Initial c-index0.73 (95% CI 0.68 to 0.79)
Recalibrated O:E ratio1.00 (95% CI 0.77 to 1.25)

Key Findings

  • The OxSATS model demonstrated good discrimination with a c-index of 0.73.
  • Recalibration was necessary due to an initial overprediction of suicide risk.
  • After recalibration, the model's calibration performance was excellent with an O:E ratio of 1.00.
  • Missing predictors impacted the initial calibration of the model.
  • This study represents the first external validation of OxSATS in an English clinical setting.

Clinical Implications

The study highlights the importance of recalibrating risk assessment tools when applied in different healthcare contexts.

Conclusion

The external validation of the OxSATS model indicates the need for recalibration in new settings.

Related Resources & Content

  1. NICE, Guidance, 2023 -- Self-harm: assessment, management and preventing recurrence
  2. Risk of unnatural death following self-harm in South Africa, BMJ Mental Health, 2023
  3. Suicidal and self-harm behaviors in emergency psychiatry, Frontiers in Psychiatry, 2026
  4. Developing and Internally Validating an Interpretable Model for Predicting One-Year Non-Suicidal Self-Injury, Frontiers in Psychiatry, 2026
  5. Frontiers in Psychiatry — Development and validation of a machine learning–based risk prediction model for non-suicidal self-injury in adolescents
  6. VA/DoD Clinical Practice Guideline for Assessment and Management of Patients at Risk for Suicide
  7. National Patient Safety Goals®
  8. Recommendations | Self-harm: assessment, management and preventing recurrence | Guidance | NICE
  9. Risk of death by suicide following self-harm presentations to healthcare: development and validation of a multivariable clinical prediction rule (OxSATS) - PMC
  10. External validation, recalibration and updating of the OxSATS risk model for suicide after self-harm in England | medRxiv
  11. Prediction models for self-harm and suicide: a systematic review and critical appraisal - PMC
  12. Acute‐Phase Interventions After Self‐Harm for Preventing Suicide and Recurrence: A Systematic Review and Meta‐Analysis - PMC

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