Digital avatars may ease distress from troubling voices in psychosis

People receiving AVATAR-Extended therapy reported major improvements in distress and intensity of troubling voices after 16 weeks, with lasting benefits for mood and well-being. 

Study: Digital AVATAR therapy for distressing voices in psychosis: the phase 2/3 AVATAR2 trial. Image Credit: Jason Alden Photography Ltd. Commissioned by Wellcome.
Study: Digital AVATAR therapy for distressing voices in psychosis: the phase 2/3 AVATAR2 trial. Image Credit: Jason Alden Photography Ltd. Commissioned by Wellcome.

In a recent study published in Nature Medicine, researchers evaluated a new therapy to reduce distressing voices in people with psychosis.

Their findings indicate that after 16 weeks, the therapy showed some benefits in reducing the frequency of voices and associated distress, with no adverse impacts associated with the treatment.

Background

Digital tools are transforming mental health care by improving access, engagement, and effectiveness. Auditory verbal hallucinations or voices are common in schizophrenia and cause distress, but responses to medication and therapy are often insufficient, highlighting the need for new treatment methods.

An emerging digital treatment creates an avatar of the distressing voice, and the person experiencing the sound can customize its sound and appearance. Therapy involves guided dialogues between the patient and the avatar, aiming to reduce distress and promote empowerment.

Previous studies have established the safety of the intervention and showed positive impacts on the severity of the voices. An early trial found a significant reduction in voice severity compared to supportive counseling, while additional pilot studies supported effectiveness and feasibility and highlighted the potential to personalize the therapy further to address past trauma and other individual experiences.

About the study

From January 2021 to November 2022, 642 individuals were assessed, resulting in 345 participants being randomized into three groups: a brief avatar therapy (AV-BRF) including 116 people, an extended version of the avatar therapy (AV-EXT) including 114, and a treatment-as-usual (TAU) control including 115.

After 16 weeks, data were available for 300 participants (87%), with 298 (86%) remaining at 28 weeks. Loss to follow-up included 12 for TAU, 17 for AV-BRF, and 16 for AV-EXT after 16 weeks, and 11 for TAU, 15 for AV-BRF, and 21 for AV-EXT after 28 weeks.

Baseline characteristics were not significantly different between groups; however, the sample was predominantly male (61.4%), mostly diagnosed with schizophrenia (43.8%), with 40% from minoritized ethnic backgrounds and a mean of 13 years in mental health care.

Completion criteria required 4 of 6 sessions for AV-BRF and 10 of 12 for AV-EXT, with an 82% completion rate in AV-BRF and 58% in AV-EXT. Participants attended a mean of 5.1 (AV-BRF) and 8.2 (AV-EXT) sessions overall, with completed treatments averaging 6.2 sessions for AV-BRF and 11.5 for AV-EXT, and active treatment sessions lasting around 65 minutes for both treatments.

Findings

Significant reductions in voice-related distress were observed at 16 weeks for both AV-BRF and AV-EXT. AV-BRF showed a mean reduction of 1.05 points, and AV-EXT showed a reduction of 1.6 points. By 28 weeks, no significant distress reduction remained in either group.

Voice severity improved significantly at 16 weeks in both AV-BRF (a 2.04-point reduction) and AV-EXT (a 2.32-point reduction), but effects were not maintained at 28 weeks. Voice frequency was significantly reduced in AV-EXT at both 16 weeks (−0.62 points) and 28 weeks (−0.89 points); however, AV-BRF showed no significant effect on the frequency at either time point.

Both AV-BRF and AV-EXT led to improvements in voice acceptance at both time points. AV-EXT alone showed an improvement in perceived voice omnipotence at 28 weeks. For well-being and recovery outcomes, AV-EXT showed improvements at both time points, while AV-BRF showed effects only at 16 weeks. Reductions in anxiety and depression were significant for AV-BRF at both follow-ups but only at 16 weeks for AV-EXT.

Researchers recorded 58 serious adverse events (SAEs), with 51% occurring in the AV-EXT group. Two mortalities in the AV-EXT group were deemed unrelated to the treatment. No significant moderating factors were identified. Compliance analyses suggested larger treatment effects at 16 weeks, with diminishing differences by 28 weeks.

Conclusions

This multisite trial compared brief (AV-BRF) and extended (AV-EXT) forms of avatar therapy for auditory hallucinations conducted by various therapists. Both AV-BRF and AV-EXT improved voice-related distress and severity at 16 weeks, though these effects lessened by 28 weeks.

AV-EXT also significantly reduced voice frequency at both points, addressing a key patient priority. AV-EXT showed larger effects on distress than AV-BRF, with AV-EXT surpassing the threshold for clinical significance. Secondary outcomes differed; AV-BRF led to sustained improvements in mood, while AV-EXT showed greater benefits in well-being and empowerment.

Avatar therapy was safe, though AV-EXT reported more adverse events, possibly due to longer, trauma-focused sessions. Limitations included a TAU comparison instead of active therapy, with AV-EXT having lower completion rates, highlighting a need for better engagement strategies. Future directions include the integration of artificial intelligence and further studies to assess cost-effectiveness and explore broader adoption in healthcare settings.

Journal reference:
Priyanjana Pramanik

Written by

Priyanjana Pramanik

Priyanjana Pramanik is a writer based in Kolkata, India, with an academic background in Wildlife Biology and economics. She has experience in teaching, science writing, and mangrove ecology. Priyanjana holds Masters in Wildlife Biology and Conservation (National Centre of Biological Sciences, 2022) and Economics (Tufts University, 2018). In between master's degrees, she was a researcher in the field of public health policy, focusing on improving maternal and child health outcomes in South Asia. She is passionate about science communication and enabling biodiversity to thrive alongside people. The fieldwork for her second master's was in the mangrove forests of Eastern India, where she studied the complex relationships between humans, mangrove fauna, and seedling growth.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Pramanik, Priyanjana. (2024, October 29). Digital avatars may ease distress from troubling voices in psychosis. News-Medical. Retrieved on November 21, 2024 from https://www.news-medical.net/news/20241029/Digital-avatars-may-ease-distress-from-troubling-voices-in-psychosis.aspx.

  • MLA

    Pramanik, Priyanjana. "Digital avatars may ease distress from troubling voices in psychosis". News-Medical. 21 November 2024. <https://www.news-medical.net/news/20241029/Digital-avatars-may-ease-distress-from-troubling-voices-in-psychosis.aspx>.

  • Chicago

    Pramanik, Priyanjana. "Digital avatars may ease distress from troubling voices in psychosis". News-Medical. https://www.news-medical.net/news/20241029/Digital-avatars-may-ease-distress-from-troubling-voices-in-psychosis.aspx. (accessed November 21, 2024).

  • Harvard

    Pramanik, Priyanjana. 2024. Digital avatars may ease distress from troubling voices in psychosis. News-Medical, viewed 21 November 2024, https://www.news-medical.net/news/20241029/Digital-avatars-may-ease-distress-from-troubling-voices-in-psychosis.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Collaborative study investigates underlying cause of neuropsychiatric symptoms in Parkinson's disease