Study Results
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View full resultsBasic Information
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COMPLETED
NA
39 participants
INTERVENTIONAL
2021-03-24
2022-12-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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Voice Assistant Device
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.
Voice Assistant Device
Voice AI-enabled smart speaker device delivers daily custom insulin titration instructions.
Control
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.
Voice Assistant Device
Voice AI-enabled smart speaker device delivers daily generic insulin reminders.
Interventions
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Voice Assistant Device
Voice AI-enabled smart speaker device delivers daily custom insulin titration instructions.
Voice Assistant Device
Voice AI-enabled smart speaker device delivers daily generic insulin reminders.
Eligibility Criteria
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Inclusion Criteria
* Patients clinically indicated to be taking daily long-acting insulin
* Patients currently taking long-acting insulin but necessitating active dose adjustments
Exclusion Criteria
* Patients who do not own a smart phone
* Patients who do not have stable wireless internet connection at home
18 Years
ALL
Yes
Sponsors
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Stanford University
OTHER
Responsible Party
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Kevin Schulman
Professor of Medicine
Principal Investigators
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Kevin Schulman, MD, MBA
Role: PRINCIPAL_INVESTIGATOR
Stanford University
Ashwin Nayak, MD
Role: PRINCIPAL_INVESTIGATOR
Stanford University
Sharif Vakili, MD, MS, MBA
Role: PRINCIPAL_INVESTIGATOR
Stanford University
Locations
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Stanford University
Stanford, California, United States
Countries
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References
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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.
Provided Documents
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Document Type: Study Protocol
Document Type: Statistical Analysis Plan
Other Identifiers
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58276
Identifier Type: -
Identifier Source: org_study_id
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