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Performance and Safety of a Digital Tool for Unsupervised Self-assessment of NMOSD

Performance and Safety of a Digital Tool for Unsupervised Self-assessment of Neuromyelitis Optica Spectrum Disorder

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05566769
Acronym
OPTIS
Enrollment
103
Registered
2022-10-04
Start date
2023-11-03
Completion date
2026-09-30
Last updated
2025-04-10

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

Conditions

Neuromyelitis Optica

Keywords

NMO, NMOSD, Neuromyelitis optica, Neuromyelitis optica spectrum disorder

Brief summary

NMOSDCopilot is a digital tool developed for the self-assessment of Neuromyelitis Optica Spectrum Disorder symptoms that impact patients' functioning and quality of life. It has been co-designed with the help of patient advocacy groups, NMOSD patients and medical experts. It includes a smartphone-based application for patients, connected to a web portal developed for healthcare professionals (HCSPs). The patient application is composed of vision, walking, cognition, and dexterity e-active tests inspired by clinical standards, as well as e-questionnaires. The HCP web portal is a desktop-based software that allows HCPs to access the results generated via the patient application and facilitates remote monitoring of patients' symptoms. The objectives of this study are to validate the accuracy, reliability and reproducibility of the unsupervised at-home self-assessment of symptoms on the patient's smartphone versus the standard in-clinic testing, as well as to evaluate the safety of use of the tool, its usability, and satisfaction towards the patient application among NMOSD patients, and the HCP web dashboard among HCPs.

Interventions

DEVICENMOSDCopilot smartphone application

NMOSDCopilot includes active tests for walking, cognition, dexterity and vision, and e-questionnaires related to pain, fatigue, quality of life, bladder and bowel dysfunction, depression

Sponsors

Ad scientiam
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Intervention model description

One group

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Aged over 18 years old * NMOSD as defined by the 2015 international consensus diagnostic criteria (AQP4+ only) * With NMOSD treatment (treatment must be unchanged since 6 months before enrollment, and 1 month for analgesics, antidepressants, neuroleptics) * EDSS =\< 7 * With no evidence of relapse in the past 3 months before enrollment * Who have read the information sheet and signed the informed consent form * Able to use a smartphone * Owns a personal smartphone which version is above 13 for IOS and 8 for Android included * Able to read language in which the mobile application is available and able to understand pictograms

Exclusion criteria

* Evidence of neurologic, rheumatologic or psychiatric disorder other than NMOSD, including but not limited to major head trauma, seizures or systemic medical diseases that are likely to affect cognitive, upper limb or lower limb functioning * Pregnant and nursing women * Person under guardianship or curatorship * Bedridden patients or patients with a daily activity of less than 2 hours per day * Current drugs or/and alcohol abuse that could influence performance on the tests (clinician's judgment) * Subject has participated in another clinical study within the previous 30 days of screening or is currently participating in another study that, in the opinion of the Investigator, might interfere with the participant's full participation in the study or confound the assessment of the participant or outcome of the study.

Design outcomes

Primary

MeasureTime frameDescription
To compare results obtained with unsupervised at-home e-active tests and the corresponding supervised in-clinic standard tests, test to testStandard tests results at Baseline versus e-active tests results at D0 + 7 daysPearson correlation coefficient (or Spearman's rank-order correlation depending on the data distribution) between e-active tests at day 7 versus standard tests at baseline

Secondary

MeasureTime frameDescription
To assess test-retest reliability of at-home e-active testsMonth 1, month 2, month 3, month 4, month 5Intraclass correlation coefficient of e-active tests
To compare results obtained with in-clinic e-active tests and in-clinic standard tests, test to testBaseline, month 6, month 12Pearson's correlation coefficient of inc-clinic e-active tests and in-clinic standard tests
To assess the adverse events related to of the mobile application use.through study completion, 21 monthsdescriptive analysis of adverse events (AEs) related to the use of the application.
To assess painMonth 3, month 6, month 12Pain Visual Analogue Scale (0-100) higher score meaning a worse outcome
To assess fatigueMonth 3, month 6, month 12Modified Fatigue Impact Scale 5 (0-20) higher score meaning a worse outcome
To assess bladder controlMonth 3, month 6, month 12Bladder Control Scale (0-22) higher score meaning a worse outcome
To assess reproducibility between in-clinic and at-home e-active testsBaseline, day 7, month 6 - 7 days, month 6Pearson correlation coefficient (or Spearman's rank-order correlation depending on the data distribution) between e-active tests at day 7 versus standard tests at baseline and between and month 6 and month 6- 7days
To assess depressionMonth 3, month 6, month 12Patient Health Questionnaire-8 (0-12) higher score meaning a worse outcome
To assess quality of lifeBaseline, month 6, month 12p-value of multivariate analysis for non-parametric data
To assess disabilityBaseline, month 6, month 12Expanded Disability Status Scale (0-10), higher score meaning a worse outcome
To assess satisfaction and user experience with the smartphone application and the web dashboardThrough study completion, 21 monthsDescriptive analysis of satisfaction and user experience questionnaires (System Usability Scale (1-100) higher score meaning a better outcome)
To assess at-home compliance and adherence to the patient applicationThrough study completion, 21 monthsDescriptive analysis of the mobile application's adherence data (number of completed questionnaires, number of sessions performed etc.).
To compare results obtained with at home MVT and in-clinic OCT-scanThrough study completion, 21 monthsThe Pearson's correlation coefficient will be used to assess the relation between MVT e-active test at D0 +7 (home) versus standard OCT-scan test at D0 (in clinic). The minimum coefficient to reach is 0.65 to show that low contrast visual acuity measurement is associated with. RNF & GCIP layer thickness
To assess bowel controlMonth 3, month 6, month 12Bowel Control Scale (0-22) higher score meaning a worse outcome

Countries

France, Germany, United States

Contacts

Primary ContactDr Levy
mlevy11@mgh.harvard.edu617-726-7565

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026