Personalised Therapy Algorithms
Cross-source consensus on Personalised Therapy Algorithms from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
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Highlighted claims
- First-line allocation probabilities are based on each participant’s probability that a treatment is best. — Platform trial of smartphone-based cognitive–behavioural therapy (CBT) for depressive symptoms among people with no or subthreshold depression: a protocol for the Best, Efficient and Affordable Training in Resilience in Constant Evolution (BEATRICE) platform trial
- CQ4 develops SPOT by extending POT with baseline characteristics and longitudinal responses after first-line assignment. — Platform trial of smartphone-based cognitive–behavioural therapy (CBT) for depressive symptoms among people with no or subthreshold depression: a protocol for the Best, Efficient and Affordable Training in Resilience in Constant Evolution (BEATRICE) platform trial
- CQ1 externally validates whether the RESiLIENT-derived personalised algorithm improves outcomes compared with giving BA plus CR to everyone. — Platform trial of smartphone-based cognitive–behavioural therapy (CBT) for depressive symptoms among people with no or subthreshold depression: a protocol for the Best, Efficient and Affordable Training in Resilience in Constant Evolution (BEATRICE) platform trial
- The BEATRICE first-line algorithm is redeveloped from RESiLIENT PHQ-9 data after removing the suicidality item to use PHQ-8. — Platform trial of smartphone-based cognitive–behavioural therapy (CBT) for depressive symptoms among people with no or subthreshold depression: a protocol for the Best, Efficient and Affordable Training in Resilience in Constant Evolution (BEATRICE) platform trial
- CQ7 refines POT algorithms for specific subgroups to address population variation and model drift. — Platform trial of smartphone-based cognitive–behavioural therapy (CBT) for depressive symptoms among people with no or subthreshold depression: a protocol for the Best, Efficient and Affordable Training in Resilience in Constant Evolution (BEATRICE) platform trial