What question did this study set out to answer?

To develop and validate a mapping algorithm that predicts EQ-5D-5L health utility values from Health of the Nation Outcome Scales (HoNOS) scores in adults with severe mental illness.

August 16, 2026Medical Decision MakingOpen Access

Enabling QALY Estimation in Mental Health Interventions: Mapping the Health of the Nation Outcome Scales onto the EQ-5D-5L

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Authors

ALAdmassu N. LamuNORCE Research AS EKEgil KjerstadNorwegian Directorate of Health RKReinhold KilianUniversität Ulm

Discussion

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Implication

Econometric mapping analysis reveals reliable prediction of EQ-5D-5L utilities from HoNOS scores in severe mental illness, indicating improved feasibility of mental health economic evaluations.

Key Points

To develop and validate a mapping algorithm that predicts EQ-5D-5L health utility values from Health of the Nation Outcome Scales (HoNOS) scores in adults with severe mental illness.
Analyzed 24-month trial data from a community mental health intervention in Germany involving >900 adults aged 18 to 82 years with severe mental illness.
Tested four econometric approaches—ordinary least squares, generalized linear models, fractional regression models (FRM), and adjusted limited dependent variable mixture models—validated via 10-fold cross-validation.
Fractional regression models performed best overall, predicting the German EQ-5D-5L value set with an RMSE of 0.2204, MAE of 0.1622, and r² of 36.5% during cross-validation.
Using HoNOS subscales yielded slightly lower accuracy (RMSE = 0.2245, MAE = 0.1664, r² = 34.2%), though calibration plots confirmed close alignment between observed and predicted utility values.

Cite This Study

Lamu et al. (2026) studied this question.

synapsesocial.com/papers/6a8179cbf2fb91fc834ad1a1 https://doi.org/10.1177/0272989x261473639

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August 16, 2026Medical Decision MakingOpen Access

Enabling QALY Estimation in Mental Health Interventions: Mapping the Health of the Nation Outcome Scales onto the EQ-5D-5L

View Full Paper

Ask AI

Bookmark

Authors

ALAdmassu N. LamuNORCE Research AS EKEgil KjerstadNorwegian Directorate of Health RKReinhold KilianUniversität Ulm

Discussion

Member takes

Implication

Econometric mapping analysis reveals reliable prediction of EQ-5D-5L utilities from HoNOS scores in severe mental illness, indicating improved feasibility of mental health economic evaluations.

Key Points

To develop and validate a mapping algorithm that predicts EQ-5D-5L health utility values from Health of the Nation Outcome Scales (HoNOS) scores in adults with severe mental illness.
Analyzed 24-month trial data from a community mental health intervention in Germany involving >900 adults aged 18 to 82 years with severe mental illness.
Tested four econometric approaches—ordinary least squares, generalized linear models, fractional regression models (FRM), and adjusted limited dependent variable mixture models—validated via 10-fold cross-validation.
Fractional regression models performed best overall, predicting the German EQ-5D-5L value set with an RMSE of 0.2204, MAE of 0.1622, and r² of 36.5% during cross-validation.
Using HoNOS subscales yielded slightly lower accuracy (RMSE = 0.2245, MAE = 0.1664, r² = 34.2%), though calibration plots confirmed close alignment between observed and predicted utility values.

Cite This Study

Lamu et al. (2026) studied this question.

synapsesocial.com/papers/6a8179cbf2fb91fc834ad1a1 https://doi.org/10.1177/0272989x261473639

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