Rates and correlates of study enrolment and use of a chatbot aimed to promote mental health services use for eating disorders following online screening

Eur Eat Disord Rev. 2024 Jul;32(4):748-757. doi: 10.1002/erv.3082. Epub 2024 Mar 19.

Abstract

Objective: We developed a chatbot aimed to facilitate mental health services use for eating disorders (EDs) and offered the opportunity to enrol in a research study and use the chatbot to all adult respondents to a publicly available online ED screen who screened positive for clinical/subclinical EDs and reported not currently being in treatment. We examined the rates and correlates of enrolment in the study and uptake of the chatbot.

Method: Following screening, eligible respondents (≥18 years, screened positive for a clinical/subclinical ED, not in treatment for an ED) were shown the study opportunity. Chi-square tests and logistic regressions explored differences in demographics, ED symptoms, suicidality, weight, and probable ED diagnoses between those who enroled and engaged with the chatbot versus those who did not.

Results: 6747 respondents were shown the opportunity (80.0% of all adult screens). 3.0% enroled, of whom 90.2% subsequently used the chatbot. Enrolment and chatbot uptake were more common among respondents aged ≥25 years old versus those aged 18-24 and less common among respondents who reported engaging in regular dietary restriction.

Conclusions: Overall enrolment was low, yet uptake was high among those that enroled and did not differ across most demographics and symptom presentations. Future directions include evaluating respondents' attitudes towards treatment-promoting tools and removing barriers to uptake.

Keywords: chatbot; digital intervention; eating disorders; mental health services utilization; mental health treatment; screening.

MeSH terms

  • Adolescent
  • Adult
  • Feeding and Eating Disorders* / therapy
  • Female
  • Humans
  • Internet
  • Male
  • Mass Screening
  • Mental Health Services* / statistics & numerical data
  • Middle Aged
  • Patient Acceptance of Health Care / statistics & numerical data
  • Young Adult