Medication AdherenceMIVANCT05081011
Managing Insulin With a Voice AI
A study testing Voice Assistant Device in people with Medication Adherence, run by Stanford University at 1 site in United States.
Trial summary
This study randomizes participants to have their basal insulin titrated either through standard of care or by receiving prompts through interactions with an AI-enabled smart speaker device. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Medication Adherence
- What is being tested?
- Voice Assistant Device
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 39 participants
- Where
- 1 siteUnited States
- Study dates
- 24 Mar 2021to 1 Dec 2022
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
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
Who may be able to join
- Patients with Type 2 Diabetes
- Patients clinically indicated to be taking daily long-acting insulin
- Patients currently taking long-acting insulin but necessitating active dose adjustments
Who cannot join
- Patients who do not speak English
- Patients who do not own a smart phone
- Patients who do not have stable wireless internet connection at home
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Using an AI-based Voice Assistant to Manage Insulin in Diabetes: a Randomized-Control Trial
This study randomizes participants to have their basal insulin titrated either through standard of care or by receiving prompts through interactions with an AI-enabled smart speaker device. The primary objective of this study is to investigate the feasibility of an AI-enabled smart speaker device and whether such a device facilitates insulin titration management, increases insulin adherence and decreases time to optimal insulin dose. The secondary objective of the study is to explore whether the device improves glycemic control as defined by improvements in fasting blood sugar.
- Conditions
- Medication Adherence
- Being tested
- Voice Assistant Device
- Keywords
- Voice Assistant, Medication Management, Insulin Management, Smart Speaker, AI, Artificial Intelligence, Autonomous Prescriptions
- Medical subject headings
- Medication Adherence
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Voice Assistant DeviceDevice
Voice AI-enabled smart speaker device delivers daily custom insulin titration instructions.
Voice Assistant DeviceDevice
Voice AI-enabled smart speaker device delivers daily generic insulin reminders.
| Study group | Role | What they receive |
|---|---|---|
| Voice Assistant Device | Experimental | Subjects have their insulin titrated by a voice assistant device for 8 weeks. The Voice Assistant Device software algorithm is used to provide daily insulin dose and titration instructions. Receives: Device: Voice Assistant Device |
| Control | Active comparator | Subjects have their insulin titrated via standard of care for 8 weeks. The Voice Assistant Device is limited to providing a daily reminder to take medication. Receives: Device: Voice Assistant Device |
What is being measured
The primary outcome is the main question the study is designed to answer.
Time to Optimal Insulin Dose
Number of days between study start date and goal fasting sugar
Measured: 8 weeks
Insulin Medication Adherence
Percentage of adherence to taking insulin based on logs over 8 weeks
Measured: 8 weeks
Attitudes Toward Diabetes
Change in Composite Score of Attitudes Toward Diabetes (PAID-5).
A 5-item psychometrically validated self-report questionnaire on a 5 point Likert scale (0= not problem; 4= a serious problem). The scores of each item are summed to create an overall score (Minimum value = 0; Maximum value = 20). Higher scores denote higher levels of diabetes related distress.
Measured: Baseline and 8 weeks
Attitudes Toward Health Technology
Change in Composite Score of Attitudes Toward Health Technology. A 2-item self-report questionnaire on a 5 point Likert scale, scored 0 to 4. The scores are summed to create an overall score (Minimum value = 0, Maximum value = 8). Higher scores indicated more favorable attitudes toward health technology.
Measured: Baseline and 8 weeks
Attitudes Toward Medication Adherence
Change in Composite Score of Attitudes Toward Medication Adherence. A 5-item self-report questionnaire on a 5-point Likert scale (0 to 4). The scores are summed to create an overall score (Minimum value = 0, Maximum value = 20). Higher scores indicate more favorable attitudes toward medication adherence.
Measured: Baseline and 8 weeks
Secondary outcomes (2)
Percentage of Participants Who Achieved Glycemic Control
Proportion (percentage) of participants with fasting sugar within goal at end of trial.
Measured: 8 weeks
Glycemic Improvement
Change in 3-day average fasting sugars between first 3 days and last 3 days of study
Measured: Day 3 and 8 weeks (assessed at the end of each 3 day period)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Oct 2021
- Study start24 Mar 2021
- Primary completion1 Dec 2022
- Study completion1 Dec 2022
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Medication AdherenceStudies of the same condition, open and under way.
- More trials run by Stanford UniversityThe sponsor's other registered studies.
- 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
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 39 participants (actual)
Sponsor and investigators
- Lead sponsor
- Stanford University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Kevin Schulman, Stanford University
- Investigators
- Kevin Schulman, MD, MBA, Principal investigator, Stanford UniversityAshwin Nayak, MD, Principal investigator, Stanford UniversitySharif Vakili, MD, MS, MBA, Principal investigator, Stanford University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05081011
- Sponsor's protocol ID
- 58276
- Acronym
- MIVA
- Status last verified
- Dec 2023
- First submitted
- 5 Oct 2021
- Last updated
- 2 Jan 2024
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- No
Publications
Nayak A, Vakili S, Nayak K, Nikolov M, Chiu M, Sosseinheimer P, Talamantes S, Testa S, Palanisamy S, Giri V, Schulman K. Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes: A Randomized Clinical Trial. JAMA Netw Open. 2023 Dec 1;6(12):e2340232. doi: 10.1001/jamanetworkopen.2023.40232.
PubMed 38039007
Study at a glance
From the registry record, last updated by the sponsor on 2 Jan 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Using an AI-based Voice Assistant to Manage Insulin in Diabetes: a Randomized-Control Trial
- ClinicalTrials.gov ID
- NCT05081011
- Acronym / sponsor ID
- MIVA / 58276
- Conditions
- Medication Adherence
- Keywords
- Voice Assistant, Medication Management, Insulin Management, Smart Speaker, AI, Artificial Intelligence, Autonomous Prescriptions
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 39 participants (actual)
- Lead sponsor
- Stanford UniversityUniversity, hospital or other
- Study start
- 24 Mar 2021 (actual)
- Primary completion
- 1 Dec 2022 (actual)
- Study completion
- 1 Dec 2022 (actual)
- First posted
- 18 Oct 2021 (actual)
- Results
- Posted 2 Jan 2024
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study randomizes participants to have their basal insulin titrated either through standard of care or by receiving prompts through interactions with an AI-enabled smart speaker device. The primary objective of this study is to investigate the feasibility of an AI-enabled smart speaker device and whether such a device facilitates insulin titration management, increases insulin adherence and decreases time to optimal insulin dose. The secondary objective of the study is to explore whether the device improves glycemic control as defined by improvements in fasting blood sugar.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Voice Assistant Device | Experimental | Device: Voice Assistant DeviceSubjects have their insulin titrated by a voice assistant device for 8 weeks. The Voice Assistant Device software algorithm is used to provide daily insulin dose and titration instructions. |
| Control | Active comparator | Device: Voice Assistant DeviceSubjects have their insulin titrated via standard of care for 8 weeks. The Voice Assistant Device is limited to providing a daily reminder to take medication. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- Patients with Type 2 Diabetes
- Patients clinically indicated to be taking daily long-acting insulin
- Patients currently taking long-acting insulin but necessitating active dose adjustments
Key exclusion criteria (3 listed)
- Patients who do not speak English
- Patients who do not own a smart phone
- Patients who do not have stable wireless internet connection at home
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 |
|---|---|---|
| Voice Assistant DeviceVoice AI-enabled smart speaker device delivers daily custom insulin titration instructions. | Device | Voice Assistant Device |
| Voice Assistant DeviceVoice AI-enabled smart speaker device delivers daily generic insulin reminders. | Device | Control |
Primary outcome
Time to Optimal Insulin Dose
Time frame: 8 weeks
Number of days between study start date and goal fasting sugar
Insulin Medication Adherence
Time frame: 8 weeks
Percentage of adherence to taking insulin based on logs over 8 weeks
Attitudes Toward Diabetes
Time frame: Baseline and 8 weeks
Change in Composite Score of Attitudes Toward Diabetes (PAID-5). A 5-item psychometrically validated self-report questionnaire on a 5 point Likert scale (0= not problem; 4= a serious problem). The scores of each item are summed to create an overall score (Minimum value = 0; Maximum value = 20). Higher scores denote higher levels of diabetes related distress.
Attitudes Toward Health Technology
Time frame: Baseline and 8 weeks
Change in Composite Score of Attitudes Toward Health Technology. A 2-item self-report questionnaire on a 5 point Likert scale, scored 0 to 4. The scores are summed to create an overall score (Minimum value = 0, Maximum value = 8). Higher scores indicated more favorable attitudes toward health technology.
Attitudes Toward Medication Adherence
Time frame: Baseline and 8 weeks
Change in Composite Score of Attitudes Toward Medication Adherence. A 5-item self-report questionnaire on a 5-point Likert scale (0 to 4). The scores are summed to create an overall score (Minimum value = 0, Maximum value = 20). Higher scores indicate more favorable attitudes toward medication adherence.
2 secondary outcomes
Percentage of Participants Who Achieved Glycemic Control
Time frame: 8 weeks
Glycemic Improvement
Time frame: Day 3 and 8 weeks (assessed at the end of each 3 day period)
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Jan 2024.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Derived from this study: PubMed 38039007Nayak A, Vakili S, Nayak K, Nikolov M, Chiu M, Sosseinheimer P, Talamantes S, Testa S, Palanisamy S, Giri V, Schulman K. Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes: A Randomized Clinical Trial. JAMA Netw Open. 2023 Dec 1;6(12):e2340232. doi: 10.1001/jamanetworkopen.2023.40232.
- Individual participant dataSharing planned: No
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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. This study is not recruiting at the moment.
Kevin Schulman, MD, MBA principal investigator
Stanford University
Ashwin Nayak, MD principal investigator
Stanford University
Sharif Vakili, MD, MS, MBA principal investigator
Stanford University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Voice Assistant Device in people with Medication Adherence, run by Stanford University at 1 site in United States.
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 3 inclusion and 3 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: finished, as of the sponsor's last update on 2 Jan 2024. 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 United States. 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?
Yes. Results are posted in the registry (first posted 2 Jan 2024). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Time to Optimal Insulin Dose (time frame: 8 weeks). The study lists 5 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 NCT05081011, which also lists 1 linked publication.
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 2 Jan 2024.