Behavior and Behavior Mechanisms, Lifestyle, Healthy, Well-Being, Young Adult
Conditions
Keywords
Student well-being, Artificial Intelligence, Contextual Well-being, Contextual AI, Preventive health, Digital Health, Lifestyle medicine, Pilot study, Proof of concept
Brief summary
This study explores the feasibility of ContextWell, a well-being education programme that combines an online webinar with an AI-powered behavioural nudging system. The programme aims to support university students, particularly those in healthcare disciplines, in enhancing well-being and adopting healthier lifestyle habits. The primary objective is to determine whether the programme can be feasibly delivered within university settings. A secondary objective is to assess its potential to improve student well-being and encourage behavioural changes aligned with lifestyle medicine principles. The intervention builds on the understanding that healthcare professionals' lifestyle habits and well-being have a direct impact on patient care. Focusing on healthcare students helps advance the integration of lifestyle medicine within health education and clinical practice. This single-group feasibility study delivers the full intervention to all participants. Students participate in an online well-being webinar and receive AI-generated behavioural prompts designed to promote self-awareness and healthier daily choices. Key evaluation measures will indicated the feasibility of the programme among young adults in academic environments. Participant feedback and initial outcomes will support future development and inform larger-scale research.
Interventions
OTHERContextWell Educational Programme
ContextWell Educational Programme
Sponsors
UCD Clinical Research Centre, Ireland
University College Cork
Imperial College London
University College Dublin
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 30 Years
Healthy volunteers
Yes
Inclusion criteria
Primarily healthcare students, young adults enrolled in higher education (18-30 years old) Access to a computer or mobile device with an internet connection; Willingness to participate in the educational webinar; Willingness to complete AI-driven assignments; Able to read and understand English.
Exclusion criteria
Are under the age of 18, or above 30; Inability to access a computer or mobile device with internet connection; Inability to read or understand English; Unwillingness to participate in the webinar or complete assignments.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Recruitment Rate | Up to 4 weeks post-study launch (enrolment period). | Description: Proportion of eligible participants who enroll in the ContextWell Programme. Metric: % of enrolled participants out of those approached. Measurement Method: Screening and enrolment logs. |
| Retention Rate | Through study completion, an average of 5 weeks post-baseline. | Proportion of enrolled participants completing the programme. Metric: 1. % completing final follow-up. 2. Count completing all study components. Measurement Method: Attendance records, programme tracking data, follow-up survey. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Acceptability of the Intervention | At 2 weeks post-intervention. | Description: Participants' satisfaction with the content, format, and delivery. Metric: Mean satisfaction rating; qualitative feedback. Measurement Method: Post-intervention survey (Likert-scale + open-ended items). |
| Demand for the Programme | At 2 weeks post-intervention. | Participants' expressed interest in continued use and peer recommendation. Metric: % intending to continue use or recommend. Measurement Method: Survey responses on future use/recommendation. |
| Implementation Feasibility | During intervention period, Weeks 1 to 3 post-baseline. | Practicality of delivering the intervention as planned. Metric: Number of technical issues. % of content delivered as intended. Measurement Method: Researcher logs, participant feedback. |
| Perceived Impact on Well-Being | At 4 weeks post-baseline. | Participants' perception of effects on well-being Metric: % reporting improved well-being. Measurement Method: follow-up survey (Likert-scale and reflections). |
Countries
Ireland
Contacts
Primary ContactYao Xie
Backup ContactJohn Broughan
Outcome results
None listed