NCT04473599

Stay Well at Home: a Text-messaging Study Social Distancing

Stay Well at Home: A Text-messaging Study to Improve Mood and Help Cope With Social Distancing

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,000 (actual)
• Sponsor: University of California, Berkeley · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

The investigators have developed supportive text-messages in English and Spanish to help people cope with the stress and anxiety of COVID-19 social distancing. The purpose of this study is to examine if automated text-messages will improve depression and anxiety symptoms and enhance positive mood. Additionally, the investigators will compare the effectiveness of sending messages on a random schedule (using a micro-randomized trial design) or sent by a reinforcement learning policy on overall change in depression and anxiety symptoms and daily mood during the 8-week study.

Detailed description

The investigators will send participants supportive text-messages for a period of 2 months. These text-messages will include tips about behavioral activation and coping skills to deal with worries and stress. The investigators generated a message bank balanced such that 50% of all messages are related to behavioral activation (BA) and 50% messages involve different coping skills. Participants will receive one of these messages per day between 9:00 am and 6:00 pm. Participants will also receive a message asking them to rate their mood on a scale of 1-9 once a day 3 hours after the BA or coping message. Participants will be randomized to: 1. a uniform random messaging group (micro-randomized trial design). 2. a reinforcement learning group with a learned decision mechanism for the timing and type of text-message. The algorithm learns from previous data (which messages were sent, what was the participants' mood) to maximize an increase in participants mood. No other data are collected from participants' phones. The investigators will compare the effect of sending text-messages by a random schedule, and text-messaging chosen by the RL algorithm. This allows to both evaluate the effect of the individual intervention components over time within a micro-randomized trial design, and assess the added value of using RL to adapt the messaging scheme. The investigators hypothesize that: * Participant will show improvements in depression, anxiety symptoms and mood during the 60 day study. * The participants in the group receiving reinforcement learning will have a greater improvement in depressive symptoms, anxiety and positive mood during the study than participants in the micro-randomized group. * The investigators will find differential effects on mood ratings for the two categories of messages

Conditions

• Depressive Symptoms
• Anxiety
• COVID-19

Interventions

Type	Name	Description
BEHAVIORAL	Uniform random message delivery	In this arm, the categories and timings of text-messages will be delivered to participants using a random schedule
BEHAVIORAL	Reinforcement learning message delivery	In this arm, the categories and timings of text-messages will be chosen by a reinforcement learning algorithm
BEHAVIORAL	Mood ratings only	In this arm, participants will monitor their mood daily and receive feedback on that mood randomly

Timeline

• Start date: 2020-04-17
• Primary completion: 2022-07-25
• Completion: 2023-01-10
• First posted: 2020-07-16
• Last updated: 2023-05-23

Locations

1 site across 1 country: United States