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This study will examine the feasibility of using a mobile ABMT application as a treatment modality in the Pediatric Multiple Sclerosis population. Participants will be asked to undergo one hour-long baseline evaluation, followed by at-home ABMT application sessions. Subjects will complete online REDCap or MyCap surveys weekly and at the end of the study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Treatment Group | Experimental | Patients age 12-24 diagnosed with pediatric-onset Multiple Sclerosis |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ABMT mobile application | Behavioral | After consent/assent, participants will complete 1 hour-long, in-person or remote, baseline study visit at the Multiple Sclerosis Comprehensive Care Center. During this visit, participants will complete baseline study surveys and a brief computerized attention bias assessment and be trained on the use of the ABMT mobile application. Participants will then complete at-home game play 4 days a week, for 30 days, using an iOS mobile device, approximately 10-15 minutes each day. Subjects will complete weekly online study surveys via REDCap or MyCap (Mobile REDCap Application). At the conclusion of participation, participants will complete online end of study surveys via REDCap or MyCap. Parents of participants will complete surveys at the baseline visit, followed by online surveys at Week 2 and at the end of study. For participants who are 18 years old or older, parental participation will not be required. |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of "compliant" participants | Individuals will be categorized as "compliant" if they interact with the mobile ABMT a minimum of 3 times per week for a minimum of three of the four weeks across the study period of 30 days. We will consider reaching 50% of compliant participants to indicate that the intervention is feasible for continued study. Descriptive analyses will be completed to identify any trends in predicting those participants who are most likely to be compliant (ie. age, gender, baseline function). | 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| Preliminary efficacy composite score | Investigators convert performance at baseline and study end across study measures SCARED P/C,CDI-II, MASC-2, BDI-II, BAI, and PANAS to scaled age normative scores. Differences in scaled scores, indicating change following intervention, will be calculated for each compliant participant (defined as above) and averaged for group metrics. Descriptive analyses will be completed to identify any trends in predicting those participants who are most likely to have improvement in anxiety and mood at study end (ie., age, gender, baseline function) as well as corresponding degree of use of the mobile ABMT with magnitude of benefit. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Leigh Charvet | NYU Langone Health | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| NYU Langone Health | New York | New York | 10016 | United States |
The de-identified participant data from the final research dataset used in the published manuscript will be shared upon reasonable request beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research provided the investigator who proposes to use the data executes a data use agreement with NYU Langone Health. Requests may be directed to: leigh.charvet@nyulangone.org. The protocol and statistical analysis plan will be made available on Clinicaltrials.gov only as required by federal regulation or as a condition of awards and agreements supporting the research.
Beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research.
Requests should be directed to leigh.charvet@nyulangone.org. To gain access, data requestors will need to sign a data access agreement.
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| 3 months |