Literature DB >> 33950849

Engagement and Effectiveness of a Healthy-Coping Intervention via Chatbot for University Students During the COVID-19 Pandemic: Mixed Methods Proof-of-Concept Study.

Silvia Gabrielli1, Silvia Rizzi1, Giulia Bassi1, Sara Carbone1, Rosa Maimone1, Michele Marchesoni1, Stefano Forti1.   

Abstract

BACKGROUND: University students are increasingly reporting common mental health problems, such as stress, anxiety, and depression, and they frequently face barriers to seeking psychological support because of stigma, cost, and availability of mental health services. This issue is even more critical in the challenging time of the COVID-19 pandemic. Digital mental health interventions, such as those delivered via chatbots on mobile devices, offer the potential to achieve scalability of healthy-coping interventions by lowering cost and supporting prevention.
OBJECTIVE: The goal of this study was to conduct a proof-of-concept evaluation measuring the engagement and effectiveness of Atena, a psychoeducational chatbot supporting healthy coping with stress and anxiety, among a population of university students.
METHODS: In a proof-of-concept study, 71 university students were recruited during the COVID-19 pandemic; 68% (48/71) were female, they were all in their first year of university, and their mean age was 20.6 years (SD 2.4). Enrolled students were asked to use the Atena psychoeducational chatbot for 4 weeks (eight sessions; two per week), which provided healthy-coping strategies based on cognitive behavioral therapy, positive psychology, and mindfulness techniques. The intervention program consisted of conversations combined with audiovisual clips delivered via the Atena chatbot. Participants were asked to complete web-based versions of the 7-item Generalized Anxiety Disorder scale (GAD-7), the 10-item Perceived Stress Scale (PSS-10), and the Five-Facet Mindfulness Questionnaire (FFMQ) at baseline and postintervention to assess effectiveness. They were also asked to complete the User Engagement Scale-Short Form at week 2 to assess engagement with the chatbot and to provide qualitative comments on their overall experience with Atena postintervention.
RESULTS: Participants engaged with the Atena chatbot an average of 78 (SD 24.8) times over the study period. A total of 61 out of 71 (86%) participants completed the first 2 weeks of the intervention and provided data on engagement (10/71, 14% attrition). A total of 41 participants out of 71 (58%) completed the full intervention and the postintervention questionnaires (30/71, 42% attrition). Results from the completer analysis showed a significant decrease in anxiety symptoms for participants in more extreme GAD-7 score ranges (t39=0.94; P=.009) and a decrease in stress symptoms as measured by the PSS-10 (t39=2.00; P=.05) for all participants postintervention. Participants also improved significantly in the describing and nonjudging facets, based on their FFMQ subscale scores, and asked for some improvements in the user experience with the chatbot.
CONCLUSIONS: This study shows the benefit of deploying a digital healthy-coping intervention via a chatbot to support university students experiencing higher levels of distress. While findings collected during the COVID-19 pandemic show promise, further research is required to confirm conclusions. ©Silvia Gabrielli, Silvia Rizzi, Giulia Bassi, Sara Carbone, Rosa Maimone, Michele Marchesoni, Stefano Forti. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 28.05.2021.

Entities:  

Keywords:  COVID-19; anxiety; chatbots; digital health; healthy-coping intervention; mobile mental health; stress; university students

Year:  2021        PMID: 33950849     DOI: 10.2196/27965

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.773


  4 in total

1.  Anticipating Ambulatory Automation: Potential Applications of Administrative and Clinical Automation in Outpatient Healthcare Delivery.

Authors:  Kevin Yang; Vinod E Nambudiri
Journal:  Appl Clin Inform       Date:  2021-12-29       Impact factor: 2.342

2.  Recruitment in a research study via chatbot versus telephone outreach: a randomized trial at a minority-serving institution.

Authors:  Yoo Jin Kim; Julie A DeLisa; Yu-Che Chung; Nancy L Shapiro; Subhash K Kolar Rajanna; Edward Barbour; Jeffrey A Loeb; Justin Turner; Susan Daley; John Skowlund; Jerry A Krishnan
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

3.  Loneliness in Young Adults During the First Wave of COVID-19 Lockdown: Results From the Multicentric COMET Study.

Authors:  Gaia Sampogna; Vincenzo Giallonardo; Valeria Del Vecchio; Mario Luciano; Umberto Albert; Claudia Carmassi; Giuseppe Carrà; Francesca Cirulli; Bernardo Dell'Osso; Giulia Menculini; Martino Belvederi Murri; Maurizio Pompili; Gabriele Sani; Umberto Volpe; Valeria Bianchini; Andrea Fiorillo
Journal:  Front Psychiatry       Date:  2021-12-10       Impact factor: 4.157

4.  A Virtual Coach (Motibot) for Supporting Healthy Coping Strategies Among Adults With Diabetes: Proof-of-Concept Study.

Authors:  Giulia Bassi; Claudio Giuliano; Alessio Perinelli; Stefano Forti; Silvia Gabrielli; Silvia Salcuni
Journal:  JMIR Hum Factors       Date:  2022-01-21
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.