Social Media Concerns Related to Emotional Experiences in Naturalistic Settings (SCREENS)

Description

The study aims to enroll 100 participants recruited from the TX-YDSRN registry study. TX-YDSRN registry study, an ongoing state-wide longitudinal data repository funded by Texas Child Mental Healthcare Consortium (TCMHCC). TX-YDSRN is comprised of 12 participating HRIs across Texas.

Eligible and active TX-YDSRN participants will be invited to participate in this study. Efforts will be made to ensure a diverse and representative sample, including participants of varying sexes, ethnicities, races, and socioeconomic backgrounds. The TX-YDSRN’s established recruitment network and community partnerships since 2020 support broad and inclusive enrollment.

Advances in mobile health (mHealth) technologies offer new ways to monitor depression and suicidal ideation outside of clinical settings. Through smartphones and devices from wearable health technology leaders such as Garmin or Fitbit, this study aims to remotely track clinical indicators among youth. These technologies collect data such as physical activity, social interaction, sleep, social media experiences, social media use amount, and mood in real-time, providing an ecologically valid picture of the participants’ daily lives. This approach can enhance early detection of clinical deterioration, empowering both participants and caregivers with timely, actionable feedback.

Using HIPAA-compliant software on smartphones, the app will track digital markers such as location, movement, call/text frequency, screen time, and survey responses as proxies for social interaction, in-person social support, anxiety, suicidal ideation/behavior, emotional responses to social media, and mood. Data is encrypted, stored on secure servers ensuring confidentiality. Similarly, wearables will track digital biomarkers such as sleep patterns, heart rate, and activity levels. Together, these metrics offer continuous, longitudinal data on various potential markers for physical and psychological health such as the following:

* Activity Levels: Reduced physical activity and social engagement may indicate worsening depression. Tracking changes in the radius of daily movement can help detect reduced interest and motivation to engage in important or valued activities.
* Sleep Patterns: Sleep issues (insomnia, hypersomnia, disruption, restlessness) often signal mood changes. By monitoring sleep latency, duration, and quality, we can identify early warning signs of depression.
* Social Interaction: Decreases in communication frequency and network size, changes in screen time, can indicate social withdrawal.
* Mood Variability: Regular assessments of mood, fatigue, and energy help capture emotional variability. Non-responsiveness itself can be a potential marker of worsening of depression.

Social media use amount is passive data that will be collected through mHealth. mHealth will also automatically track duration of app use (seconds) by type of platform and will tell us actual usage (on screen) rather than those running in the background. mHealth will constantly collect data is the app is open and running in the background of the subject’s device. These data will be collected constantly for the 1-month period during which Ecological Momentary Assessment Measures (EMA) data are also collected on social media experiences.

Given the study’s integration of mobile device monitoring, several strategies will be implemented to enhance participant engagement and retention throughout study participation:

* Mobile Notifications: Participants will receive Ecological Momentary Assessment (EMA) prompts via their mobile devices multiple times per day. These notifications will remind participants to complete assigned tasks, with automated follow-up reminders to encourage timely completion.
* Follow-Up for Non-Response: Participants who do not respond to EMA prompts for more than 48 hours will be contacted by research staff via phone, text message, or email. those proactive check ins will aim to re-engage participants, identify potential barriers, and trouble shoot any technical issues (e.g., adjusting notification settings, reinstallation of the app, or supporting participants who have transitioned to a new device).
* Incentive Structure: A structured incentive plan will be employed to promote consistent engagement and adherence. Participants will be eligible for incremental compensation tied to EMA completion rates, with additional bonus payments provided for high completion percentages across the study period.

Regular communication will be maintained through a combination of phone calls, emails, text messages, and mailed reminders.

Duration of Participation and Visit Schedule Enrollment of 100 subjects is expected to take place over approximately 1 year. Enrolled participants will be involved in the study for 6 months. Visits include a Screening Visit, Baseline Visit, EMA (2 times per day for 30 days), 6 monthly remote follow-up visits.

Outcome Measures Multiple streams of outcome measures will be utilized for this protocol, including self-reported, assessor-completed measures and EMA.

Ecological Momentary Assessment Measures:

The EMA survey administered through the mHealth application will include validated EMA items for Social Media factors of Social Media experiences (positive and negative ERSM) and for social context (adapted from an EMA measure of positive and negative in-person interactions). Primary outcomes will be collected twice daily, morning and evening, and will include items assessing mood and anxiety as well as the 3-item suicidal thoughts subscale of the CHRT-SR16. Participants will answer 5 questions morning and evening related to depression, anxiety, and suicidal ideation. For depression, youth will select which emoticon best represents their current mood (e.g., smiley face, neutral face, frowny face). For anxiety, the question is item 1 from GAD-7. The suicidal ideation questions are items 14-16 on the CHRT-SR16.

Emotional Responses to Social Media (ERSM):

Emotional experiences related to online experiences will be assessed using the Emotional Responses to Social Media (ERSM) scale, which assesses both positive (e.g., “How much did you feel happy or excited because of a positive interaction?”) and negative (e.g., “How much did you feel sad or hurt because of a negative interaction?”) experiences with social media use. ERSM items include those used in our consultant’s prior research and developed based on the ERSM. Four of these items focus on dyadic positive and negative online social interactions. Three items focus on more general social impression. We will explore these separate social media experience constructs to get a more nuanced understanding of types of social media experiences. ERSM questions will only be included in the evening survey.

Questions related to in-person social experiences Items assessing positive and negative in-person interactions will ask participants to think about the most influential offline social interaction they had and rate it as either positive, negative, or mixed. Participants also have the option if they did not have an in-person interaction that day. Based on their response, participants will receive additional questions asking what made the interaction positive or negative and to rate the experience on a scale from 0-10. Questions regarding in-person interactions will only be included in the evening survey.

Further context concerning in-person social experiences will be derived from the Traumatic Events Screening Inventory for Children (TESI-C) clinical interview, which provides information on victimization experiences.