ClinicalTrials.gg
CompletedNCT03490253DIAMANTEUpdated Apr 3, 2023

Diabetes and Depression Text Messaging Intervention

An interventional study of DIAMANTE Adaptive and DIAMANTE Static in Diabetes, Depression and Physical Activity, sponsored by University of California, San Francisco. Completed at 1 site in United States. Open to participants aged 18 Years to 75 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-04-03.

Sponsored by University of California, San Francisco · Not applicable, Interventional, and Other

Phase
Not applicable
Study type
Interventional
Enrollment
226
Allocation
Randomized
Ages
18 Years to 75 Years
Sex
All
01

Study summary

The main aim of the "Diabetes and Mental Health Adaptive Notification Tracking and Evaluation" trial (DIAMANTE) is to test a smartphone intervention that generates adaptive messaging, learning from daily patient data to personalize the timing and type of text-messages. We will compare the adaptive content to 1. a static messaging intervention with health management and educational messages and 2. a control condition that receives a weekly mood message. The primary outcomes for this aim will be improvements in physical activity at 6-month follow-up defined by daily step counts.

Read the detailed description

We utilized user-centered design (UCD) methods to iteratively develop the DIAMANTE content and text messaging system through three iterative phases of UCD with ten patients each (total n=30). The first phase consisted of 1.5-hour individual semi-structured interviews. Findings from phase 1 were used to inform content and information delivery decisions of the final intervention, including selecting the thematic message categories and the design. In the second phase, patients tested out an early prototype of the mobile application through usability testing. Patients tested the final DIAMANTE intervention including thematic message content and the application in the third, final UCD phase, in order to address any user-related issues prior to launching the randomized control trial.

In the DIAMANTE Randomized Controlled Trial, we aim to examine the effect of a smartphone app that uses reinforcement learning to predict the most effective messages for increasing physical activity. We will recruit 276 low-income minority patients with depression and diabetes within he San Francisco Health Network. We will compare this intervention to static messages with health management content, and a control group that only receives a weekly mood message.

02

Conditions studied

  • Diabetes
  • Depression
  • Physical Activity
03

In context

Diabetes Mellitus

11,090 studies on the registry are indexed under Diabetes Mellitus; 1,319 are open to participants now.

This study's enrollment of 226 is above the median of 80 across 8,491 interventional studies indexed under Diabetes Mellitus.

Browse Diabetes Mellitus studies →

Lead sponsor

University of California, San Francisco is the lead sponsor of 2,164 studies on the registry; 368 are open to participants now.

Of its 267 completed or terminated interventional studies of FDA-regulated products, 199 (75%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • HbA1c (Hemoglobin A1c) > 7
  • PHQ-8 (Patient Health Questionnaire-8) > 5

Exclusion criteria

Exclusion Criteria:

  • high levels of physical activity (>30 minutes of moderate to vigorous activity per day)
  • pregnancy
  • inability to exercise due to physical disability
  • serious mental illness
  • unable to read and write in English or Spanish
  • plans to leave the country for extended periods of time during the trial
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
226 participants (actual)

Study arms

  • Active comparator
    Static Messaging

    We will send patients a total of seven messages per week (one per day) at 10.00 am. For the physical health management messages we use messages from established topics in the Diabetes Prevention Program(23) content with the emphasis on physical activity and stress management. The final message, on the seventh day will ask patients to rate their mood on a scale from 1 to 9. Physical activity (step-count/day) will be passively monitored via the app on their smartphone.

    Behavioral: DIAMANTE Static

  • Experimental
    Adaptive Messaging

    Patients in the adaptive messaging arm will receive the daily messages of the static arm, and additionally receive daily messages within different categories of feedback and motivational messages that are chosen using a reinforcement learning (RL) algorithm. Physical activity (step-count/day) will be actively monitored via the app on their smartphone.

    Behavioral: DIAMANTE Adaptive

  • No intervention
    Control Condition

    Control patients will only install the app on their phone and will not receive any feedback messages. They will receive one message a week, on a fixed day, asking them to assess their mood in the previous week on a scale of 1 to 9. The message will be sent daily at 10:00 am. Non-responders will receive reminders to submit their mood self-assessments in two hour intervals.

Interventions

  • BehavioralDIAMANTE Adaptive

    In a three arm randomized controlled trial we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen by a reinforcement learning algorithm.

    Also known as: Adaptive Mobile Messaging

  • BehavioralDIAMANTE Static

    The static intervention group receives health information text-messages, typical of existing text-messaging interventions for diabetes and depression.

    Also known as: Static Mobile Messaging

06

What researchers measure

Primary outcomes

  1. Physical Activity

    Our primary outcome, change in daily step counts, will be passively collected by a mobile phone application during the time that patients remain in the intervention.

    Time frame: 6 months

Secondary outcomes

  1. Hemoglobin A1c

    We will derive HbA1c, the average plasma glucose over the previous eight to 12 weeks, recommended as a means to diagnose diabetes (20), from patients' electronic health records (EHR). We will use the most recent, available measurement from a maximum of 12 months before participating in the study. After 6 months, we will again assess the most recent HbA1c (pulling from patients EHR), ensuring that at least 3 months elapsed between baseline and follow-up HbA1c levels.

    Time frame: 6 months

  2. Patient Health Questionnaire-8 (PHQ-8)

    We will compare the self-reported PHQ-8 from medical records at baseline, intervention completion, and at the 6 month follow-up.

    Time frame: 6 months

07

Study locations

1 site
  • Zuckerberg San Francisco General Hospital/University of California, San Francisco
    San Francisco, California 94110, United States
08

References and documents

Publications

  • Aguilera A, Schueller SM, Leykin Y. Daily mood ratings via text message as a proxy for clinic based depression assessment. J Affect Disord. 2015 Apr 1;175:471-4. doi: 10.1016/j.jad.2015.01.033. Epub 2015 Jan 29. PubMed 25679202 ↗
  • Lyles CR, Ratanawongsa N, Bolen SD, Samal L. mHealth and Health Information Technology Tools for Diverse Patients with Diabetes. J Diabetes Res. 2017;2017:1704917. doi: 10.1155/2017/1704917. Epub 2017 Feb 23. No abstract available. PubMed 28326330 ↗
  • Nouri SS, Avila-Garcia P, Cemballi AG, Sarkar U, Aguilera A, Lyles CR. Assessing Mobile Phone Digital Literacy and Engagement in User-Centered Design in a Diverse, Safety-Net Population: Mixed Methods Study. JMIR Mhealth Uhealth. 2019 Aug 29;7(8):e14250. doi: 10.2196/14250. PubMed 31469083 ↗
  • Avila-Garcia P, Hernandez-Ramos R, Nouri SS, Cemballi A, Sarkar U, Lyles CR, Aguilera A. Engaging users in the design of an mHealth, text message-based intervention to increase physical activity at a safety-net health care system. JAMIA Open. 2019 Oct 11;2(4):489-497. doi: 10.1093/jamiaopen/ooz049. eCollection 2019 Dec. PubMed 32025646 ↗
  • Hernandez-Ramos R, Aguilera A, Garcia F, Miramontes-Gomez J, Pathak LE, Figueroa CA, Lyles CR. Conducting Internet-Based Visits for Onboarding Populations With Limited Digital Literacy to an mHealth Intervention: Development of a Patient-Centered Approach. JMIR Form Res. 2021 Apr 29;5(4):e25299. doi: 10.2196/25299. PubMed 33872184 ↗
  • Figueroa CA, Aguilera A, Chakraborty B, Modiri A, Aggarwal J, Deliu N, Sarkar U, Jay Williams J, Lyles CR. Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. J Am Med Inform Assoc. 2021 Jun 12;28(6):1225-1234. doi: 10.1093/jamia/ocab001. PubMed 33657217 ↗
  • Aguilera A, Figueroa CA, Hernandez-Ramos R, Sarkar U, Cemballi A, Gomez-Pathak L, Miramontes J, Yom-Tov E, Chakraborty B, Yan X, Xu J, Modiri A, Aggarwal J, Jay Williams J, Lyles CR. mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study. BMJ Open. 2020 Aug 20;10(8):e034723. doi: 10.1136/bmjopen-2019-034723. PubMed 32819981 ↗
  • Figueroa CA, Deliu N, Chakraborty B, Modiri A, Xu J, Aggarwal J, Jay Williams J, Lyles C, Aguilera A. Daily Motivational Text Messages to Promote Physical Activity in University Students: Results From a Microrandomized Trial. Ann Behav Med. 2022 Feb 11;56(2):212-218. doi: 10.1093/abm/kaab028. PubMed 33871015 ↗
  • Leng L, Arevalo Avalos MR, Aguilera A, Lyles CR. The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial. JMIR Mhealth Uhealth. 2025 Jul 17;13:e64296. doi: 10.2196/64296. PubMed 40674692 ↗
  • Aguilera A, Arevalo Avalos M, Xu J, Chakraborty B, Figueroa C, Garcia F, Rosales K, Hernandez-Ramos R, Karr C, Williams J, Ochoa-Frongia L, Sarkar U, Yom-Tov E, Lyles C. Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) Randomized Clinical Trial. J Med Internet Res. 2024 Oct 8;26:e60834. doi: 10.2196/60834. PubMed 39378080 ↗

Individual participant data

Plan to share: Yes — We will submit study-results for publication in peer reviewed journals and presentation at (inter)national meetings, taking into account relevant reporting guidelines (e.g. CONSORT(32)). We will attempt to publish all findings in open-access journals when possible, or in other journals with a concurrent uploading of the manuscript content into PubMed Central for public access. Curated technical appendices, statistical code, and anonymized data will become freely available from the corresponding authors upon request.

Supporting information: Study protocol, Statistical analysis plan, Clinical study report

Time frame: Within 1-3 years after the end of the trial.

Access criteria: Curated technical appendices, statistical code, and anonymized data will become freely available from the corresponding authors upon request.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Feb 2020 to primary completion in Dec 2022, 34 months.

Of 2,196 non-industry interventional studies with no phase under Diabetes Mellitus, half reached primary completion within 21 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 38. This study's 34 months is above that.

Counting every sponsor, half of 2,388 studies reached it within 20 months; a quarter within 9 and three quarters within 37.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 27, 2018
First posted
Apr 6, 2018
StartActual
Feb 5, 2020
Primary completionActual
Dec 31, 2022
CompletionActual
Dec 31, 2022
Last update
Apr 3, 2023
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 3, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03490253
Collaborators
University of California, Berkeley, Agency for Healthcare Research and Quality (AHRQ)
Responsible party
Sponsor
First posted
Apr 6, 2018
Start date
Feb 5, 2020
Primary completion
Dec 31, 2022
Completion
Dec 31, 2022
Last update
Apr 3, 2023

Study contacts

Courtney Lyles, PhD
principal investigator · University of California, San Francisco
Adrian Aguilera, PhD
principal investigator · UC Berkeley

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Mar 2023. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion