Public HealthNCT06891495
Evaluating an AI-Generated Health Podcast
An observational study of Public Health and Artificial Intelligence, run by Qassim University at 1 site in Saudi Arabia.
Trial summary
This study aims to explore a new way of delivering health information using an AI-generated podcast. The podcast, created with Google NotebookLM, uses verified content from the American Academy of Periodontology website to provide easy-to-understand information on gum health and prevention. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Public Health, Artificial Intelligence, Feasibility Studies
- What is being tested?
- Expert Evaluation of Adapted Questionnaire and AI-Generated Health Podcast Evaluation
- How many people
- 30 participants
- Where
- 1 siteSaudi Arabia
- Study dates
- 7 Feb 2025to 20 May 2025
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Expert Group: Approximately 10 professionals from fields such as dentistry, public health, and health communication. Their extensive experience and academic backgrounds ensure rigorous content and reliability validation of the questionnaire, making it scientifically robust for assessing AI-generated health podcasts. General Public Group: Around 30 individuals from diverse demographic backgrounds (age, gender, education) representing the target audience. They will evaluate the AI-generated podcast on gum health and prevention using the validated questionnaire, providing insights into the podcast's accessibility, clarity, and educational impact.
Who may be able to join
- Licensed professionals and recognized experts in relevant fields such as dentistry, public health, and health communication
- Minimum of 5 years of professional experience in their respective fields
- Prior involvement in healthcare education, research, or digital health communication
- Willingness to review and provide detailed feedback on the adapted questionnaire
- Ability to complete the survey in English
- Adults aged 18 years or older
Show all 9Show fewer
- Individuals fluent in English
- Access to a digital audio device and an internet connection to listen to the podcast and complete the survey
- Consent to participate in the study
Who cannot join
- Professionals without formal training or relevant expertise in the specified fields
- Individuals with conflicts of interest that might compromise the objectivity of their evaluations
- Experts who are unable to commit the necessary time to provide thorough feedback
- General Public Group
- Individuals with significant hearing impairments that might hinder the ability to comprehend the audio content
- Healthcare professionals or individuals with advanced training in dentistry or health communication
- Persons who have participated in similar educational podcast studies previously
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Saudi Arabia1 site, 1 recruiting
- Recruiting
College of Applied Medical Sciences
Al Kharj, Al Qassim, 58883
Shiva Shankar Bugude, MDS, +966531476028, S.ggg@qu.edu.sa
About this study
Official title: Feasibility and Validity Assessment of an AI-Generated Health Podcast: A Pilot Observational Study
This study aims to explore a new way of delivering health information using an AI-generated podcast. The podcast, created with Google NotebookLM, uses verified content from the American Academy of Periodontology website to provide easy-to-understand information on gum health and prevention.
The goal is to determine whether this AI-generated podcast is a useful, engaging, and clear tool for educating the general public about health topics. Traditional health podcasts often feature expert interviews and can be lengthy, which sometimes limits their appeal and accessibility. By using AI to generate the podcast, investigator hope to offer a more standardized and concise presentation that avoids technical jargon.
Read more
To evaluate the podcast, investigator developed a questionnaire based on the Questionnaire for Assessing Educational Podcasts (QAEP). This questionnaire was adapted to better suit a non-specialist audience and covers four key areas: how easy the podcast is to access and use, the design and structure of the podcast, the clarity and completeness of the content, and the podcast's value as a learning tool.
Before using this questionnaire with the general public, investigator sent it to 10 experts in dentistry, public health, and communication for their review and feedback. Their input helped us make minor modifications to ensure the questionnaire is both clear and scientifically sound. After these revisions, investigator conducted a pilot study with 30 members of the general public who listened to the podcast and completed the questionnaire.
This study will assess the feasibility and validity of using an AI-generated podcast as a health education tool. The results will help determine if this approach can effectively improve public understanding of health information and may guide the future design of digital health communication strategies.
Read the detailed description
Background and Rationale Recent advances in digital media have underscored the potential of podcasts as an innovative medium for disseminating healthcare information. Traditional health podcasts, while valuable, often suffer from limitations such as lengthy duration, inconsistent quality, and the use of complex medical jargon that may hinder public understanding. In contrast, artificial intelligence (AI)-driven content generation offers an opportunity to create concise, standardized, and accessible audio content. This study leverages Google NotebookLM to generate a podcast on gum health and prevention using publicly available information from the American Academy of Periodontology (AAP). By doing so, the research aims to explore whether an AI-generated health podcast can effectively enhance public health literacy.
Objectives
The primary objective of this pilot study is to evaluate the feasibility and validity of an AI-generated health podcast as an educational tool for the general public. Specific objectives include:
- Questionnaire Development: Develop and validate a structured questionnaire-adapted from the Questionnaire for Assessing Educational Podcasts (QAEP)-that captures public perceptions regarding podcast accessibility, design, content adequacy, and educational value.
- Reliability and Validity Testing: Assess the reliability and content validity of the newly developed questionnaire through expert evaluation and statistical analysis.
- Public Evaluation of Podcast Quality: Assess the general public's perceptions of the AI-generated health podcast, focusing on its accessibility, design, content quality, and overall educational value, using the validated questionnaire.
Study Design and Methods
This study is designed as a prospective, observational feasibility pilot. It consists of two phases:
Phase 1: Instrument Development and Expert Validation A questionnaire was developed using QAEP as a benchmark and then refined based on feedback from 10 experts (including dental, public health, and communication specialists). Statistical analyses (Cronbach's Alpha, Content Validity Index, and Exploratory Factor Analysis) were conducted to ensure the tool's reliability and validity.
Phase 2: Public Pilot Evaluation The validated questionnaire was administered via an online Google Form to 30 general public participants. Demographic data-including age, gender, educational background, and English audio comprehension-were collected to contextualize the findings.
- Conditions
- Public Health, Artificial Intelligence, Feasibility Studies
- Being tested
- Expert Evaluation of Adapted Questionnaire, AI-Generated Health Podcast Evaluation
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Expert Evaluation of Adapted QuestionnaireOther
This intervention involves inviting a group of subject matter experts-including dental specialists, public health professionals, and communication experts-to evaluate the adapted questionnaire. The questionnaire, derived from the Questionnaire for Assessing Educational Podcasts (QAEP) and tailored for assessing an AI-generated health podcast, covers four dimensions: Access and Use, Design and Structure, Content Adequacy, and Value as an Aid to Learning. Experts will complete a structured online survey (via Google Form) to rate each item's clarity, relevance, and necessity. Their feedback is integral to refining and validating the instrument prior to its use with the general public.
AI-Generated Health Podcast EvaluationOther
Participants in this group will first listen to a 4-minute AI-generated health podcast on gum health and prevention. The podcast was produced using Google NotebookLM and is based on publicly available information from the American Academy of Periodontology, with appropriate source credit. After listening, participants will complete a validated questionnaire (administered via Google Form) that assesses the podcast's accessibility, design, content adequacy, and educational value. This intervention is designed to measure public perception, engagement, and overall feasibility of using AI-generated podcasts as an educational tool for health communication.
| Study group | Role | What they receive |
|---|---|---|
| Expert Validation Group | This group comprises approximately 10 subject matter experts-including dental specialists, public health professionals, and communication experts-who are engaged in evaluating and refining the adapted questionnaire. Their feedback on clarity, relevance, and content validity is used to ensure that the measurement tool is scientifically robust before its deployment in the subsequent phase of the study. Receives: Other: Expert Evaluation of Adapted Questionnaire; Other: AI-Generated Health Podcast Evaluation | |
| General Public Cohort | This group includes approximately 30 participants from the general public representing diverse ages, genders, and educational backgrounds. Participants in this cohort will listen to the AI-generated health podcast (focused on gum health and prevention) and then complete the validated questionnaire to assess the podcast's accessibility, design, content adequacy, and educational value. Receives: Other: Expert Evaluation of Adapted Questionnaire; Other: AI-Generated Health Podcast Evaluation |
What is being measured
The primary outcome is the main question the study is designed to answer.
Content Validity Index (CVI) of the Adapted Questionnaire
Description: This outcome measure evaluates the content validity of the questionnaire adapted from QAEP, as determined by expert ratings. The Content Validity Index (CVI) quantifies the proportion of experts who rate questionnaire items as relevant or highly relevant.
Unit of Measure: Score on a scale from 0 to 1, where scores above 0.78 indicate acceptable content validity
Measured: From 7th February 2025 to 25th February 2025
Internal Consistency Reliability of the Adapted Questionnaire
Description: This outcome measure assesses the internal consistency reliability of the adapted questionnaire using Cronbach's Alpha coefficient, which measures how closely related the items are as a group.
Unit of Measure: Cronbach's Alpha coefficient on a scale from 0 to 1, where values above 0.7 indicate acceptable reliability
Measured: From 7th February 2025 to 25th February 2025
Public Perception Score of the AI-Generated Health Podcast
Description: This outcome measure assesses the general public's overall perception of the AI-generated health podcast using the validated questionnaire.
Unit of Measure: Composite score on a 5-point Likert scale (1-5), where 1 represents "Strongly Disagree" and 5 represents "Strongly Agree"
Measured: From 27th February 2025 to 15th April 2025
Domain-Specific Evaluation Scores of the AI-Generated Health Podcast
Description: This outcome measure assesses the general public's evaluation of specific domains of the AI-generated health podcast, including accessibility, design, content adequacy, and educational value.
Unit of Measure: Mean scores for each domain on a 5-point Likert scale (1-5), where 1 represents "Strongly Disagree" and 5 represents "Strongly Agree"
Measured: From 27th February 2025 to 15th April 2025
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 Mar 2025
- Study start7 Feb 2025
- Primary completion15 Apr 2025 (estimated)
- Study completion20 May 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Public HealthStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Other
- Enrolment
- 30 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Qassim University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Dr Shiva Shankar Bugude, Qassim University
- Investigators
- Shiva Shankar Bugude, MDS, Principal investigator, Qassim University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06891495
- Sponsor's protocol ID
- QassimU5
- Status last verified
- Mar 2025
- First submitted
- 17 Mar 2025
- Last updated
- 26 Mar 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Loeb S, Sanchez Nolasco T, Siu K, Byrne N, Giri VN. Usefulness of podcasts to provide public education on prostate cancer genetics. Prostate Cancer Prostatic Dis. 2023 Dec;26(4):772-777. doi: 10.1038/s41391-023-00648-4. Epub 2023 Jan 21.
PubMed 36681741Alarcon R, Blanca MJ. Development and Psychometric Properties of the Questionnaire for Assessing Educational Podcasts (QAEP). Front Psychol. 2020 Nov 23;11:579454. doi: 10.3389/fpsyg.2020.579454. eCollection 2020.
PubMed 33329233Leite PL, Torres FAF, Pereira LM, Bezerra AM, Machado LDS, Silva MRFD. Construction and validation of podcast for teen sexual and reproductive health education. Rev Lat Am Enfermagem. 2022 Oct 3;30(spe):e3706. doi: 10.1590/1518-8345.6263.3706. eCollection 2022.
PubMed 36197393
Study at a glance
From the registry record, last updated by the sponsor on 26 Mar 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Feasibility and Validity Assessment of an AI-Generated Health Podcast: A Pilot Observational Study
- ClinicalTrials.gov ID
- NCT06891495
- Acronym / sponsor ID
- QassimU5
- Conditions
- Public Health, Artificial Intelligence, Feasibility Studies
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 30 participants (estimated)
- Lead sponsor
- Qassim UniversityUniversity, hospital or other
- Study start
- 7 Feb 2025 (actual)
- Primary completion
- 15 Apr 2025 (estimated)
- Study completion
- 20 May 2025 (estimated)
- First posted
- 24 Mar 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study aims to explore a new way of delivering health information using an AI-generated podcast. The podcast, created with Google NotebookLM, uses verified content from the American Academy of Periodontology website to provide easy-to-understand information on gum health and prevention.
The goal is to determine whether this AI-generated podcast is a useful, engaging, and clear tool for educating the general public about health topics. Traditional health podcasts often feature expert interviews and can be lengthy, which sometimes limits their appeal and accessibility. By using AI to generate the podcast, investigator hope to offer a more standardized and concise presentation that avoids technical jargon.
To evaluate the podcast, investigator developed a questionnaire based on the Questionnaire for Assessing Educational Podcasts (QAEP). This questionnaire was adapted to better suit a non-specialist audience and covers four key areas: how easy the podcast is to access and use, the design and structure of the podcast, the clarity and completeness of the content, and the podcast's value as a learning tool.
Before using this questionnaire with the general public, investigator sent it to 10 experts in dentistry, public health, and communication for their review and feedback. Their input helped us make minor modifications to ensure the questionnaire is both clear and scientifically sound. After these revisions, investigator conducted a pilot study with 30 members of the general public who listened to the podcast and completed the questionnaire.
This study will assess the feasibility and validity of using an AI-generated podcast as a health education tool. The results will help determine if this approach can effectively improve public understanding of health information and may guide the future design of digital health communication strategies.
Detailed description
Background and Rationale Recent advances in digital media have underscored the potential of podcasts as an innovative medium for disseminating healthcare information. Traditional health podcasts, while valuable, often suffer from limitations such as lengthy duration, inconsistent quality, and the use of complex medical jargon that may hinder public understanding. In contrast, artificial intelligence (AI)-driven content generation offers an opportunity to create concise, standardized, and accessible audio content. This study leverages Google NotebookLM to generate a podcast on gum health and prevention using publicly available information from the American Academy of Periodontology (AAP). By doing so, the research aims to explore whether an AI-generated health podcast can effectively enhance public health literacy.
Objectives
The primary objective of this pilot study is to evaluate the feasibility and validity of an AI-generated health podcast as an educational tool for the general public. Specific objectives include:
- Questionnaire Development: Develop and validate a structured questionnaire-adapted from the Questionnaire for Assessing Educational Podcasts (QAEP)-that captures public perceptions regarding podcast accessibility, design, content adequacy, and educational value.
- Reliability and Validity Testing: Assess the reliability and content validity of the newly developed questionnaire through expert evaluation and statistical analysis.
- Public Evaluation of Podcast Quality: Assess the general public's perceptions of the AI-generated health podcast, focusing on its accessibility, design, content quality, and overall educational value, using the validated questionnaire.
Study Design and Methods
This study is designed as a prospective, observational feasibility pilot. It consists of two phases:
Phase 1: Instrument Development and Expert Validation A questionnaire was developed using QAEP as a benchmark and then refined based on feedback from 10 experts (including dental, public health, and communication specialists). Statistical analyses (Cronbach's Alpha, Content Validity Index, and Exploratory Factor Analysis) were conducted to ensure the tool's reliability and validity.
Phase 2: Public Pilot Evaluation The validated questionnaire was administered via an online Google Form to 30 general public participants. Demographic data-including age, gender, educational background, and English audio comprehension-were collected to contextualize the findings.
Study design
- Observational model
- Other
- Time perspective
- Other
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Expert Validation Group | – | Other: Expert Evaluation of Adapted Questionnaire, Other: AI-Generated Health Podcast EvaluationThis group comprises approximately 10 subject matter experts-including dental specialists, public health professionals, and communication experts-who are engaged in evaluating and refining the adapted questionnaire. Their feedback on clarity, relevance, and content validity is used to ensure that the measurement tool is scientifically robust before its deployment in the subsequent phase of the study. |
| General Public Cohort | – | Other: Expert Evaluation of Adapted Questionnaire, Other: AI-Generated Health Podcast EvaluationThis group includes approximately 30 participants from the general public representing diverse ages, genders, and educational backgrounds. Participants in this cohort will listen to the AI-generated health podcast (focused on gum health and prevention) and then complete the validated questionnaire to assess the podcast's accessibility, design, content adequacy, and educational value. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Expert Group: Approximately 10 professionals from fields such as dentistry, public health, and health communication. Their extensive experience and academic backgrounds ensure rigorous content and reliability validation of the questionnaire, making it scientifically robust for assessing AI-generated health podcasts. General Public Group: Around 30 individuals from diverse demographic backgrounds (age, gender, education) representing the target audience. They will evaluate the AI-generated podcast on gum health and prevention using the validated questionnaire, providing insights into the podcast's accessibility, clarity, and educational impact.
Key inclusion criteria (9 listed)
- Licensed professionals and recognized experts in relevant fields such as dentistry, public health, and health communication
- Minimum of 5 years of professional experience in their respective fields
- Prior involvement in healthcare education, research, or digital health communication
- Willingness to review and provide detailed feedback on the adapted questionnaire
- Ability to complete the survey in English
Key exclusion criteria (7 listed)
- Professionals without formal training or relevant expertise in the specified fields
- Individuals with conflicts of interest that might compromise the objectivity of their evaluations
- Experts who are unable to commit the necessary time to provide thorough feedback
- General Public Group
- Individuals with significant hearing impairments that might hinder the ability to comprehend the audio content
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Expert Evaluation of Adapted QuestionnaireThis intervention involves inviting a group of subject matter experts-including dental specialists, public health professionals, and communication experts-to evaluate the adapted questionnaire. The questionnaire, derived from the Questionnaire for Assessing Educational Podcasts (QAEP) and tailored for assessing an AI-generated health podcast, covers four dimensions: Access and Use, Design and Structure, Content Adequacy, and Value as an Aid to Learning. Experts will complete a structured online survey (via Google Form) to rate each item's clarity, relevance, and necessity. Their feedback is integral to refining and validating the instrument prior to its use with the general public. | Other | Expert Validation Group, General Public Cohort |
| AI-Generated Health Podcast EvaluationParticipants in this group will first listen to a 4-minute AI-generated health podcast on gum health and prevention. The podcast was produced using Google NotebookLM and is based on publicly available information from the American Academy of Periodontology, with appropriate source credit. After listening, participants will complete a validated questionnaire (administered via Google Form) that assesses the podcast's accessibility, design, content adequacy, and educational value. This intervention is designed to measure public perception, engagement, and overall feasibility of using AI-generated podcasts as an educational tool for health communication. | Other | Expert Validation Group, General Public Cohort |
Primary outcome
Content Validity Index (CVI) of the Adapted Questionnaire
Time frame: From 7th February 2025 to 25th February 2025
Description: This outcome measure evaluates the content validity of the questionnaire adapted from QAEP, as determined by expert ratings. The Content Validity Index (CVI) quantifies the proportion of experts who rate questionnaire items as relevant or highly relevant. Unit of Measure: Score on a scale from 0 to 1, where scores above 0.78 indicate acceptable content validity
Internal Consistency Reliability of the Adapted Questionnaire
Time frame: From 7th February 2025 to 25th February 2025
Description: This outcome measure assesses the internal consistency reliability of the adapted questionnaire using Cronbach's Alpha coefficient, which measures how closely related the items are as a group. Unit of Measure: Cronbach's Alpha coefficient on a scale from 0 to 1, where values above 0.7 indicate acceptable reliability
Public Perception Score of the AI-Generated Health Podcast
Time frame: From 27th February 2025 to 15th April 2025
Description: This outcome measure assesses the general public's overall perception of the AI-generated health podcast using the validated questionnaire. Unit of Measure: Composite score on a 5-point Likert scale (1-5), where 1 represents "Strongly Disagree" and 5 represents "Strongly Agree"
Domain-Specific Evaluation Scores of the AI-Generated Health Podcast
Time frame: From 27th February 2025 to 15th April 2025
Description: This outcome measure assesses the general public's evaluation of specific domains of the AI-generated health podcast, including accessibility, design, content adequacy, and educational value. Unit of Measure: Mean scores for each domain on a 5-point Likert scale (1-5), where 1 represents "Strongly Disagree" and 5 represents "Strongly Agree"
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Mar 2025.
- Background: PubMed 36681741Loeb S, Sanchez Nolasco T, Siu K, Byrne N, Giri VN. Usefulness of podcasts to provide public education on prostate cancer genetics. Prostate Cancer Prostatic Dis. 2023 Dec;26(4):772-777. doi: 10.1038/s41391-023-00648-4. Epub 2023 Jan 21.
- Results publication: PubMed 33329233Alarcon R, Blanca MJ. Development and Psychometric Properties of the Questionnaire for Assessing Educational Podcasts (QAEP). Front Psychol. 2020 Nov 23;11:579454. doi: 10.3389/fpsyg.2020.579454. eCollection 2020.
- Results publication: PubMed 36197393Leite PL, Torres FAF, Pereira LM, Bezerra AM, Machado LDS, Silva MRFD. Construction and validation of podcast for teen sexual and reproductive health education. Rev Lat Am Enfermagem. 2022 Oct 3;30(spe):e3706. doi: 10.1590/1518-8345.6263.3706. eCollection 2022.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Shiva Shankar Bugude, MDS principal investigator
Qassim University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Public Health and Artificial Intelligence, run by Qassim University at 1 site in Saudi Arabia.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 26 Mar 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Saudi Arabia. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Shiva Shankar Bugude, MDS (+966531476028, S.ggg@qu.edu.sa), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Content Validity Index (CVI) of the Adapted Questionnaire (time frame: From 7th February 2025 to 25th February 2025). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06891495, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Mar 2025.