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

May 12, 2023 updated by: Tom Wilkinson, University of Leicester

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

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)

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

300

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

We aim to recruit a range of people from different ethnic minority groups - we are interested in a diverse sample of participants with a wide-ranging view on the use of digital-health based interventions and AI.

Description

Inclusion

  • Participants must be over 18 years old;
  • Participants must 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.

Exclusion

- No specific exclusion criteria.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Feelings towards chatbots and artificial intelligence
Time Frame: 12 months
Bespoke questions via online survey. Questions answered on a Likert scale between 1 and 7; with 1 being 'disagree completely' and 7 being 'agree completely'
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University of Leicester

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 1, 2023

Primary Completion (Anticipated)

March 31, 2024

Study Completion (Anticipated)

March 31, 2024

Study Registration Dates

First Submitted

March 9, 2023

First Submitted That Met QC Criteria

March 9, 2023

First Posted (Actual)

March 22, 2023

Study Record Updates

Last Update Posted (Actual)

May 16, 2023

Last Update Submitted That Met QC Criteria

May 12, 2023

Last Verified

May 1, 2023

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • 39522

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data (IPD) will not be shared.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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