| Title | A text messaging intervention for coping with social distancing during COVID-19 (staywell at home): protocol for a randomized controlled trial |
| Creator | |
| Date Issued | 2021 |
| Source Publication | JMIR Research Protocols
 |
| Volume | 10Issue:1 |
| Abstract | Background: Social distancing is a crucial intervention to slow down person-to-person transmission of COVID-19. However, social distancing has negative consequences, including increases in depression and anxiety. Digital interventions, such as text messaging, can provide accessible support on a population-wide scale. We developed text messages in English and Spanish to help individuals manage their depressive mood and anxiety during the COVID-19 pandemic. Objective: In a two-arm randomized controlled trial, we aim to examine the effect of our 60-day text messaging intervention. Additionally, we aim to assess whether the use of machine learning to adapt the messaging frequency and content improves the effectiveness of the intervention. Finally, we will examine the differences in daily mood ratings between the message categories and time windows. Methods: The messages were designed within two different categories: behavioral activation and coping skills. Participants will be randomized into (1) a random messaging arm, where message category and timing will be chosen with equal probabilities, and (2) a reinforcement learning arm, with a learned decision mechanism for choosing the messages. Participants in both arms will receive one message per day within three different time windows and will be asked to provide their mood rating 3 hours later. We will compare self-reported daily mood ratings; self-reported depression, using the 8-item Patient Health Questionnaire; and self-reported anxiety, using the 7-item Generalized Anxiety Disorder scale at baseline and at intervention completion. Results: The Committee for the Protection of Human Subjects at the University of California Berkeley approved this study in April 2020 (No. 2020-04-13162). Data collection began in April 2020 and will run to April 2021. As of August 24, 2020, we have enrolled 229 participants. We plan to submit manuscripts describing the main results of the trial and results from the microrandomized trial for publication in peer-reviewed journals and for presentations at national and international scientific meetings. Conclusions: Results will contribute to our knowledge of effective psychological tools to alleviate the negative effects of social distancing and the benefit of using machine learning to personalize digital mental health interventions. Trial Registration: ClinicalTrials.gov NCT04473599; https://clinicaltrials.gov/ct2/show/NCT04473599 International Registered Report Identifier (IRRID): DERR1-10.2196/23592 |
| Keyword | COVID-19 Depression Mental health Microrandomized trial Reinforcement learning |
| DOI | 10.2196/23592 |
| URL | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-85100265315 |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/6099 |
| Collection | Beijing Normal-Hong Kong Baptist University |
| Corresponding Author | Figueroa，Caroline Astrid |
| Affiliation | 1.School of Social Welfare,University of California Berkeley,Berkeley,United States 2.School of Public Health,University of California Berkeley,Berkeley,United States 3.Centre for Quantitative Medicine,Duke-National University of Singapore Medical School,Singapore,Singapore 4.Data Science Program,Division of Science and Technology,Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai,China 5.Department of Statistics and Applied Probability,National University of Singapore,Singapore,Singapore 6.Department of Biostatistics and Bioinformatics,Duke University,Durham,United States 7.Department of Psychiatry and Behavioral Sciences,University of California San Francisco,San Francisco,United States 8.Zuckerberg San Francisco General Hospital,San Francisco,United States |
| Recommended Citation GB/T 7714 | Figueroa，Caroline Astrid,Hernandez-Ramos，Rosa,Boone，Claire Elizabethet al. A text messaging intervention for coping with social distancing during COVID-19 (staywell at home): protocol for a randomized controlled trial[J]. JMIR Research Protocols, 2021, 10(1). |
| APA | Figueroa，Caroline Astrid., Hernandez-Ramos，Rosa., Boone，Claire Elizabeth., Gómez-Pathak，Laura., Yip，Vivian., .. & Aguilera，Adrian. (2021). A text messaging intervention for coping with social distancing during COVID-19 (staywell at home): protocol for a randomized controlled trial. JMIR Research Protocols, 10(1). |
| MLA | Figueroa，Caroline Astrid,et al."A text messaging intervention for coping with social distancing during COVID-19 (staywell at home): protocol for a randomized controlled trial". JMIR Research Protocols 10.1(2021). |
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