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A deep learning probability model to deliver feedback-informed, internet-delivered psychotherapy for depression and anxiety

A deep learning probability model to deliver feedback-informed, internet-delivered psychotherapy for depression and anxiety: A randomised-controlled trial within routine clinical practice

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN18059067
Enrollment
96
Registered
2021-11-02
Start date
2021-11-01
Completion date
Unknown
Last updated
2024-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Initial performance and overall acceptability of a DLM for feedback-informed outcome probability in iCBT for depression and anxiety. Mental and Behavioural Disorders

Interventions

All PWPs who give clinical support to clients in IAPT at NHS Berkshire will be eligible to participate in the research. We will seek to recruit all current PWPs to the study and the ones randomly assi

Sponsors

SilverCloud (Ireland)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All PWPs who give clinical support to clients in IAPT at NHS Berkshire will be eligible to participate in the research

Exclusion criteria

Exclusion criteria: PWPs who do not provide clinical support through SilverCloud to clients in IAPT at NHS Berkshire or who do not consent to the study.

Design outcomes

Primary

MeasureTime frame
Depressive and anxiety symptoms will be measured with PHQ-9 and GAD-7. As part of their routine treatment, clients complete these scales every 7 to 10 days throughout the duration of their treatment.

Secondary

MeasureTime frame
PWPs acceptance of the tool, as well as the impact of the tool on deliberate practice will be measured qualitatively through survey questions. PWPs will complete surveys at baseline, 4 weeks, and 12 weeks from the start of the study.

Countries

England, United Kingdom

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026