The purpose of this study is to evaluate QbMobile's ability to collect objective data to identify specific symptom profiles in differential diagnoses (ASD, MDD, Bipolar Disorder and Anxiety Disorder) that are common with ADHD.
This study aims to evaluate the performance of QbMobile in children, adolescents, and adults assessed for and diagnosed with ASD (Autism Spectrum Disorder, MDD (Major Depressive Disorder), Bipolar Disorder, or Anxiety Disorder, or has a prior diagnosis of one of the included disorders but is not currently receiving treatment. Participants will complete the 10-minute QbMobile test on their personal device during a scheduled clinical visit. They will then repeat the test remotely the following day at the same time as the previous test +/-3 hours. Participants will be asked to complete QbMobile prior to initiating any treatment. Note on Outcome Measures Presentation: The IRB-approved protocol defines endpoints broadly (e.g., identification of QbMobile domain profiles, classification accuracy, variability, and exploratory analyses). To comply with ClinicalTrials.gov requirements that each outcome measure represent a single assessment with a single unit of measure, these endpoints are operationalized into separate outcome measures corresponding to individual QbMobile metrics (domain SD-scores, Total Score \[0-100\], accuracy percentages, variability estimates). This operationalization does not introduce new scientific endpoints or alter study objectives, design, or analyses. It ensures clarity and compliance for registry reporting while maintaining alignment with the approved protocol.
Study Type
OBSERVATIONAL
Enrollment
300
Participants will complete two non-invasive, 10-minute digital tests using the QbMobile Investigational Device-one at the clinic and one at home the following day. The tests objectively measure cognitive performance and activity levels and will not influence clinical diagnosis or treatment in this study.
Identification of QbMobile Domain Profiles Using SD-Scores and Total Score (0-100)
QbMobile is a software application that measures cognitive performance and activity levels, including attention, impulsivity, activity, and movement patterns. The study will identify statistically distinct QbMobile domain profiles for each diagnostic group (ASD, MDD, Bipolar Disorder, Anxiety Disorder) using domain SD-scores and the QbMobile Total Score (0-100). (Component metrics are listed as secondary outcomes to meet single-measure reporting requirements.)
Time frame: Two QbMobile tests: at the clinic (Visit 1) and remotely the following day (Visit 2)
QbMobile Domain SD-Scores (Attention, Impulsivity, Activity, Movement) - Group Differences
QbMobile is a software application that measures cognitive performance and activity levels. Domain scores will be analyzed as SD-scores to assess differences among diagnostic groups (ASD, MDD, Bipolar Disorder, Anxiety Disorder).
Time frame: Two QbMobile tests: at the clinic (Visit 1) and remotely the following day (Visit 2)
QbMobile Total Score (0-100) - Group Differences
QbMobile is a software application that measures cognitive performance and activity levels. The Total Score (0-100; higher values indicate greater likelihood of ADHD symptomatology) will be compared across diagnostic groups to assess differences.
Time frame: Two QbMobile tests: at the clinic (Visit 1) and remotely the following day (Visit 2)
Classification Accuracy Using QbMobile Domain SD-Scores
QbMobile is a software application that measures cognitive performance and activity levels. Classification accuracy among diagnostic groups will be evaluated using domain SD-scores; metrics will include sensitivity, specificity, and predictive values.
Time frame: Two QbMobile tests: at the clinic (Visit 1) and remotely the following day (Visit 2)
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Classification Accuracy Using QbMobile Total Score (0-100)
QbMobile is a software application that measures cognitive performance and activity levels. Classification accuracy among diagnostic groups will be evaluated using the Total Score; metrics will include sensitivity, specificity, and predictive values based on prespecified thresholds.
Time frame: QbMobile completed at Visit 1 (Day 1) and Visit 2 (Day 2)
Comparison of QbMobile Domain SD-Scores with Normative Dataset
QbMobile is a software application that measures cognitive performance and activity levels. Domain SD-scores will be compared with the age- and sex-adjusted normative dataset to identify differences between diagnostic groups and normative patterns.
Time frame: Two QbMobile tests: at the clinic (Visit 1) and remotely the following day (Visit 2).
Comparison of QbMobile Total Score (0-100) with Normative Distribution
QbMobile is a software application that measures cognitive performance and activity levels. Total Scores will be compared with the normative distribution to identify deviations from expected values.
Time frame: Two QbMobile tests: at the clinic (Visit 1) and remotely the following day (Visit 2).
Variability in Differentiation Using QbMobile Domain SD-Scores
QbMobile is a software application that measures cognitive performance and activity levels. Variability in group differentiation will be assessed using domain SD-scores (e.g., confidence intervals and variance estimates across repeated measures).
Time frame: Two QbMobile tests: at the clinic (Visit 1) and remotely the following day (Visit 2).
Variability in Differentiation Using QbMobile Total Score (0-100)
QbMobile is a software application that measures cognitive performance and activity levels. Variability will be assessed using Total Scores (e.g., confidence intervals and variance estimates across repeated measures).
Time frame: QbMobile completed at Visit 1 (Day 1) and Visit 2 (Day 2).
Exploratory Analysis of Additional QbMobile Domain Parameters (SD-Based)
Consistent with the protocol statement that "all data collected from QbMobile during this study will be available to explore additional domain parameters," exploratory analyses will examine QbMobile domain data using SD-based metrics to identify additional parameters for further analysis.
Time frame: QbMobile completed at Visit 1 (Day 1) and Visit 2 (Day 2).
Exploratory Analysis of Additional QbMobile Parameters from Total Score and Raw Performance Data
Consistent with the protocol statement that "all data collected from QbMobile… will be available to explore additional domain parameters," exploratory analyses will use the QbMobile Total Score (0-100) and raw performance data (e.g., response time, error counts, movement traces) to identify additional parameters for further analysis.
Time frame: Visit 1 (clinic) and Visit 2 (remote, next day).