Actively Recruiting

Age: 18Years +
All Genders
ID05783401

Digital Voice Analysis as a Measure of Frailty and Distress A Feasibility Study (DIVAN)

Led by University Hospital, Basel, Switzerland · Updated on 2025-01-17

100

Participants Needed

2

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are evaluating whether digital voice analysis can identify measurable changes in audio signals that reflect frailty and emotional distress in patients with cancer. Frailty, a common syndrome especially among older adults, increases risks such as falls, disability, hospitalization, and death. Detecting frailty and distress early is important for improving patient care and treatment outcomes. This study will gather voice recordings alongside conventional assessments to explore the potential relationship between voice features and patient wellbeing over time. Participants will use a tablet to describe images freely while their speech is recorded with synchronized audio and video. These recordings will be analyzed for various voice parameters like frequency, voice quality, and fluency. Alongside voice data, participants will complete the G8 questionnaire to assess frailty and the Distress Thermometer to measure psychological distress. The study includes two groups of cancer patients from a palliative care center and a mid-size cancer center, with multiple recording sessions over several weeks. Participants will be followed for up to 16 weeks, during which changes in specific voice features such as fundamental frequency, jitter, shimmer, voice strength, and speech duration will be tracked and compared to clinical assessments. The study aims to conduct detailed analyses of how voice characteristics vary with frailty and distress both between different patients and within the same patient over time. Data collection includes clinical evaluations and questionnaires, with researchers monitoring these changes to identify potential markers for future larger studies.

CONDITIONS

Brief Title

Digital Voice Analysis as a Measure of Frailty and Distress

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Active cancer or haemato-oncological malignancy
  • Adults (≥ 18 years)
  • Ability to understand, speak and read German language fluently
  • Ability to provide written consent
  • Sufficient or corrected vision to see the images
  • Sufficient auditory comprehension for participation in the study based on the therapist's clinical opinion
  • Ability to concentrate for 20-30 minutes based on the investigator's clinical opinion
  • Signed informed consent to the study
Not Eligible

You will not qualify if you...

  • Aphonia, dysphonia or other obvious voice alterations of patient's voice
  • Life-expectancy shorter ≤ 14 days as judged by a physician or nurse via "surprise question"
  • Breathlessness whilst speaking
  • Cognitive impairment as judged by physician or Mini-Cog in the G8 screening tool
  • Severe physical, emotional or existential suffering because of which the enrollment and participation in the study would result in patient burden, as judged by the treating physicians and their multiprofessional team members

AI-Screening

AI-Powered Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Monitoring

Duration - Up to 16 weeks

Participants provide multiple digital voice samples alongside completing frailty and distress assessments over time to analyze changes in their wellbeing.

Multiple visits over the 16-week period to record speech and complete questionnaires

Trial Site Locations

Total: 2 locations

1

Palliativzentrum Hildegard, Basel

Basel, Switzerland, 4002

Actively Recruiting

2

Kantonsspital Baselland, Klinik für Onkologie, Hämatologie und Immuntherapie

Liestal, Switzerland, 4410

Actively Recruiting

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Research Team

M

Marcus Vetter, PD Dr. med.

J

Jan Gärtner, Prof. Dr. med.

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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