Assessing Performance on Speech Tasks Via Crowdsourced Participants (AMYWEB)

January 29, 2024 updated by: Novoic Limited

AMYWEB Validation Studies: Assessing Performance on Speech Tasks Via Crowdsourced Participants

The purpose of the study is to examine the properties of the Automatic Story Recall Test (ASRT) and its parallel variants, as well as letter fluency and category fluency cognitive tests. Tests will be completed in crowdsourced populations, to derive normative data, and examine test properties in demographically diverse and cognitively impaired participants recruited and tested online.

Study Overview

Status

Terminated

Intervention / Treatment

Detailed Description

The AMYWEB study will validate speech tasks developed by NOVOIC in different population samples, including normative samples, samples recruited for enhanced demographic diversity, and participants with reported cognitive impairment.

Participants will be research volunteers recruited online and via crowdsourcing platforms. Six rounds of recruitment will be completed, evaluating different parallel variants of the Automatic Story Recall Task (ASRT), and fluency tasks. During each recruitment round participants will complete a speech test battery and questionnaires during one assessment (Baseline). Speech tasks will be recorded and later analyzed on Novoic's technology platform. All assessments will be fully online and remote.

Study Type

Observational

Enrollment (Actual)

1034

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Participants will be recruited online, primarily through crowdsourcing websites.

Description

Inclusion Criteria:

  • First language must be English
  • Residing in the USA
  • Willing to participate in a study investigating speech and dementia
  • Able to provide informed consent
  • Access to personal computing device that is capable of audio and video recording, and able to connect to the internet

Since key research questions are focused primarily on older-age speech and cognition, initial recruitment will be focused on older adult age brackets, which may be extended to younger adulthood if the desired sample sizes are not attained.

Exclusion Criteria:

  • No formal exclusion criteria will apply at the point of recruitment and testing. however, participants with a reported history of neurological conditions or head injury, and current depression will be excluded from normative data development.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
AMYWEB-Normative
This cohort assessed over six recruitment and test phases, will be sampled to be as closely representative of the demographic population as possible.
No interventions/exposures will be administered or evaluated
AMYWEB-Diversity
This cohort assessed over two recruitment and test phases will oversample participants from minority and mixed ethnic and racial backgrounds as well as participants from lower educational backgrounds.
No interventions/exposures will be administered or evaluated
AMYWEB-MCI
This cohort assessed and recruited over one test phase, will include participants with a reported diagnosis of mild cognitive impairment or dementia.
No interventions/exposures will be administered or evaluated

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Age, sex, and education adjusted normative scores for the Automatic Story Recall Task (ASRT) test variants derived via linear regression analysis.
Time Frame: Baseline

Participants will complete a story recall task (ASRT), which will be administered in triplets (3x stories) with immediate and delayed recall assessed.

Six different test phases, recruiting different participant samples, will be completed in which six parallel ASRT triplets will be separately evaluated.

Normative data will be generated for each test triplet.

Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Normative data will be derived for shorter variants of the ASRT test battery derived via linear regression analysis.
Time Frame: Baseline
Age, sex, and education adjusted normative scores for shorter test batteries established in the same way as the primary outcome for each distinct ASRT story triplet, using data from: 1 immediate recall, 2 immediate recalls, 3 immediate recalls, 3 immediate + 1 delayed recall, 3 immediate + 2 delayed recalls.
Baseline
Age, sex, and education adjusted normative scores for the category fluency task performance derived via linear regression analysis.
Time Frame: Baseline
During two of the study phases, participants will complete category fluency tests (participants will be asked to name as many Animals or Vegetables as they can within one minute).
Baseline
Age, sex, and education adjusted normative scores for the letter fluency task performance derived via linear regression analysis.
Time Frame: Baseline
During two of the study phases, participants will complete letter fluency tests (participants will be asked to say as many words as they can think of beginning with the letters F or S).
Baseline
The effect of demographic differences on task performance will be evaluated via linear regression analysis.
Time Frame: Baseline
The effects of age, sex, education and ethnicity on cognitive outcome measures will be evaluated for all cognitive tasks separately.
Baseline
Demographic and cultural biases will be examined via group or pairwise comparison of transcription error rate and scoring errors on a simple reading task.
Time Frame: Baseline
In data from a simple reading task evaluated in phases 1 and 2 of the study, transcription errors and automated scoring metrics will be evaluated alongside key demographic variables to test for cultural and demographic biases in automated transcription and scoring.
Baseline
Performance differences in parallel ASRT variant tasks will be examined via task-wise comparison.
Time Frame: Baseline
The distribution of test scores across parallel ASRT variants will be evaluated.
Baseline
Area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between the MCI sample and the normative sample using as input the speech elicited during cognitive tasks.
Time Frame: Baseline
Case control comparison of task performance between participants with AMYWEB-MCI and the AMYWEB-Normative population
Baseline
Area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between depressed and non-depressed participants using as input the speech elicited during cognitive tasks.
Time Frame: Baseline
All participants will complete the Participant Health Questionnaire (PHQ-8) self-report measure, alongside cognitive assessment. Participants will be separated into low depressive symptomatology (PHQ-8 scores<10), and high depressive symptomatology (PHQ-8 score>=10) groups.
Baseline
The agreement between the PHQ-8 and the corresponding regression model predicting depressive symptomatology from speech data elicited during tasks will be evaluated.
Time Frame: Baseline

All participants will complete the Participant Health Questionnaire (PHQ-8) self-report measure, alongside cognitive assessment.

A continuous predictor of PHQ-8 score from speech data will be derived and covariation with continuous PHQ-8 scores will be evaluated.

Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 5, 2022

Primary Completion (Actual)

July 8, 2022

Study Completion (Actual)

July 8, 2022

Study Registration Dates

First Submitted

March 17, 2022

First Submitted That Met QC Criteria

March 25, 2022

First Posted (Actual)

March 28, 2022

Study Record Updates

Last Update Posted (Actual)

January 31, 2024

Last Update Submitted That Met QC Criteria

January 29, 2024

Last Verified

March 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • NOV-0300

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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