AI-ACTIV-E: Artificial Intelligence and Physical Activity Among People From Ethnic Minority Groups

Sponsor
University of Leicester (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05779696
Collaborator
(none)
300
12

Study Details

Study Description

Brief Summary

Despite the high interest in physical activity, many individuals lack the necessary experience in being active and therefore have low levels of knowledge and confidence to become and stay active. For effective lifestyle changes to occur, information must be tailored to the individual's health, goals, motivations, and overall ability. Lifestyle interventions, for example those designed to increase physical activity, are only effective when adapted to the physical, social, and psychological needs of the patient and progressed at rate appropriate for their development by specialist health professional. In the context of ethnic minority health, information must also be culturally adapted, sensitive to religious needs, and accessible to those where English is not proficient. Behavioural digital health interventions have been moderately successful in increasing physical activity, although opportunities for further improvement remain to be discussed. New technologies involving the use of artificial intelligence (AI) are growing, and allow the dissemination of individualised and tailored advice and information. Whilst a few AI-driven physical activity-based applications exist, they are not widely used, particularly amongst people from ethnic minority groups where both physical activity and digital health literacy is poor. Research has identified that whilst many people would be receptive to using health chatbots, hesitancy regarding this technology is likely to compromise engagement. In particular, user perspectives, motivation and capabilities need to be taken into account when developing and assessing the effectiveness of health chatbots. Guidance suggests that developing health chatbots should focus on issues of digital literacy, linguistic and cultural issues, privacy concerns, and personalization. As such, any development needs to involve user-driven co-creation techniques and involving community partners to increase the probability that it will ultimately be effective.

Aims

Aim 1 Gain a new understanding of barriers and facilitators to digital physical activity interventions and AI-delivered healthcare in people from ethnic minority groups through an online survey

Aim 2 To conduct a series of focus groups to explore participants understanding and identifying barriers and facilitators to digital physical activity interventions. In particular to:

i)Better understand general barriers and facilitators (focus on access and provision of education, and physical, environmental, cultural and psycho-social barriers) to physical activity; ii)Explore current and future usage of digital-based resources to facilitate physical activity behaviour; iii)Investigate views of use of AI in digital-based healthcare applications (e.g., trust in such applications)

Condition or Disease Intervention/Treatment Phase
  • Other: No-intervention

Study Design

Study Type:
Observational
Anticipated Enrollment :
300 participants
Observational Model:
Cohort
Time Perspective:
Cross-Sectional
Official Title:
Understanding and Identifying the Potential of Artificial Intelligence Powered Digital Physical Activity and Lifestyle Interventions Among People From Ethnic Minority Groups: a Mixed Methods Study
Anticipated Study Start Date :
Apr 1, 2023
Anticipated Primary Completion Date :
Mar 31, 2024
Anticipated Study Completion Date :
Mar 31, 2024

Arms and Interventions

Arm Intervention/Treatment
Group 1

We will recruit a diverse range of participants to take part and therefore have a limited inclusion/exclusion criteria. Participants must be over 18 years old and be able to a computer/mobile device to access the survey or video conference software (Zoom, as used by the Centre of Ethnic Health Research). Participants can come from a range of cultural communities and religious groups. Participants do not need to have any prior knowledge to participate in the virtual focus groups or the survey.

Other: No-intervention
This is a non-intervention study.

Outcome Measures

Primary Outcome Measures

  1. Feelings towards chatbots and artificial intelligence [12 months]

    Bespoke questions via online survey

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All

Participants must be over 18 years old and be able to a computer/mobile device to access the survey or video conference software (Zoom, as used by the Centre of Ethnic Health Research). Participants can come from a range of cultural communities and religious groups. Participants do not need to have any prior knowledge to participate in the virtual focus groups or the survey.

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • University of Leicester

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Additional Information:

Publications

None provided.
Responsible Party:
Tom Wilkinson, Research Fellow, University of Leicester
ClinicalTrials.gov Identifier:
NCT05779696
Other Study ID Numbers:
  • 39522
First Posted:
Mar 22, 2023
Last Update Posted:
Mar 22, 2023
Last Verified:
Mar 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Tom Wilkinson, Research Fellow, University of Leicester

Study Results

No Results Posted as of Mar 22, 2023