xml: <clinical_study>
    <!-- This xml conforms to an XML Schema at:
      https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
    <required_header>
      <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
      <link_text>Link to the current ClinicalTrials.gov record.</link_text>
      <url>https://clinicaltrials.gov/ct2/show/NCT05967260</url>
    </required_header>
    <id_info>
      <org_study_id>25174</org_study_id>
      <nct_id>NCT05967260</nct_id>
    </id_info>
    <brief_title>DailyDose Smart Snack Study for T1D on MDI</brief_title>
    <official_title>A Crossover Study to Assess the Effect of an Artificial Intelligence (AI)-Based Bedtime Smart Snack Intervention in Preventing Overnight Low Glucose in People With T1D on Multiple Daily Injections.</official_title>
    <sponsors>
      <lead_sponsor>
        <agency>Oregon Health and Science University</agency>
        <agency_class>Other</agency_class>
      </lead_sponsor>
    </sponsors>
    <source>Oregon Health and Science University</source>
    <oversight_info>
      <has_dmc>No</has_dmc>
      <is_fda_regulated_drug>No</is_fda_regulated_drug>
      <is_fda_regulated_device>Yes</is_fda_regulated_device>
    </oversight_info>
    <brief_summary>
      <textblock>
        This is a single-center, open-label, crossover trial with two arms and two periods (2x2) and&#xD;
        one-week washout period. The study is designed to evaluate the efficacy of an AI-based&#xD;
        bedtime smart snack intervention in reducing nocturnal low glucose in people living with T1D&#xD;
        on MDI therapy compared with traditional CGM-augmented MDI therapy as the control.&#xD;
      </textblock>
    </brief_summary>
    <detailed_description>
      <textblock>
        Participants will be randomized to either first use CGM only to manage glucose for four weeks&#xD;
        (control arm) followed by four weeks of DailyDose App + bedtime smart snack intervention&#xD;
        (intervention arm), or vice-versa. There will be a one-week washout period between arms.&#xD;
  &#xD;
        During the control arm, participants will wear CGM and will manage their glucose as usual.&#xD;
        Participants will be asked to wear a smart watch overnight to collect sleep metrics, weigh&#xD;
        themselves weekly in the morning before eating, and answer a one-item sleep quality scale&#xD;
        survey weekly. We will collect CGM measurements during the control arm for evaluation of&#xD;
        effect of intervention and assessment of the accuracy of low glucose prediction.&#xD;
  &#xD;
        During the intervention arm, participants will use the DailyDose Smart Snack smart phone app.&#xD;
        When they are getting ready for bed, an AI-based model in DailyDose will predict the&#xD;
        likelihood of overnight low glucose at bedtime and will recommend a personalized snack to&#xD;
        help avoid nocturnal hypoglycemia. The nutritional content of the snack (carbohydrate,&#xD;
        protein, fat, etc.) will be dependent on the predicted overnight minimum glucose and the&#xD;
        predicted time of the minimum overnight glucose level. During this arm, participants will&#xD;
        also be asked to wear a smart watch overnight, weigh themselves weekly, and answer a one-item&#xD;
        sleep quality scale survey weekly.&#xD;
      </textblock>
    </detailed_description>
    <overall_status>Recruiting</overall_status>
    <start_date type="Actual">September 1, 2023</start_date>
    <completion_date type="Anticipated">June 30, 2024</completion_date>
    <primary_completion_date type="Anticipated">June 30, 2024</primary_completion_date>
    <phase>N/A</phase>
    <study_type>Interventional</study_type>
    <has_expanded_access>No</has_expanded_access>
    <study_design_info>
      <allocation>Randomized</allocation>
      <intervention_model>Crossover Assignment</intervention_model>
      <primary_purpose>Treatment</primary_purpose>
      <masking>None (Open Label)</masking>
    </study_design_info>
    <primary_outcome>
      <measure>Probability of overnight hypoglycemia</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>An episode of overnight hypoglycemia is counted if sensor glucose is &lt;70 mg/dL for at least two measurements during an eight-hour period following announced bedtime. This is assessed by number of episodes divided by total number of nights.</description>
    </primary_outcome>
    <secondary_outcome>
      <measure>Time to the first overnight low-glucose event (&lt;70 mg/dL)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Number of hours until first CGM measurement &lt;70 mg/dL when CGM remains &lt; 70 mg/dL for at least 10 minutes.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time with sensed glucose less than 54 mg/dL (overnight)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 54 mg/dL overnight (announced bedtime + 8 hours).</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time with sensed glucose less than 54 mg/dL (24-hour/day study duration)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 54 mg/dL across the full 24-hour/day study duration.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time with sensed glucose less than 70 mg/dL (overnight)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 70 mg/dL overnight (announced bedtime + 8 hours).</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time with sensed glucose less than 70 mg/dL (24-hour/day study duration)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 70 mg/dL across the 24-hour/day study duration.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time with sensed glucose between 70-180 mg/dL (overnight)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are between 70 and 180 mg/dL overnight (announced bedtime + 8 hours).</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time with sensed glucose between 70-180 mg/dL (24-hour/day study duration)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are between 70 and 180 mg/dL across the full 24-hour/day study duration.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time with sensed glucose greater than 180 mg/dL (overnight)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 180 mg/dL overnight (announced bedtime + 8 hours).</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time with sensed glucose greater than 180 mg/dL (24-hour/day study duration)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 180 mg/dL across the full 24-hour/day study duration.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time sensed glucose greater than 250 mg/dL (overnight)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 250 mg/dL overnight (announced bedtime + 8 hours).</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Percentage of time sensed glucose greater than 250 mg/dL (24-hour/day study duration)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 250 mg/dL across the full 24-hour/day study duration.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Mean sensed glucose (overnight)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean reported sensor glucose values overnight (announced bedtime + 8 hours) using the Dexcom sensor.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Mean sensed glucose (24-hour/day study duration)</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Assess the mean reported sensor glucose values across the full 24-hour/day study duration using the Dexcom sensor.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Accuracy of overnight low glucose prediction by sensitivity</measure>
      <time_frame>4 weeks of control period</time_frame>
      <description>Assessment of accuracy of the overnight low glucose prediction algorithm by sensitivity. This is measured by the number of true positives that the algorithm predicts hypoglycemia overnight divided by all of the hypoglycemic events.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Accuracy of overnight low glucose prediction by specificity</measure>
      <time_frame>4 weeks of control period</time_frame>
      <description>Assessment of accuracy of the overnight low glucose prediction algorithm by specificity. This is measured by calculating 1.0 minus the false positive rate for overnight hypoglycemia prediction.</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Change in weight</measure>
      <time_frame>8 weeks (4-week control period vs. 4-week intervention period)</time_frame>
      <description>Asses mean weight change from start to end of each arm.</description>
    </secondary_outcome>
    <number_of_arms>2</number_of_arms>
    <enrollment type="Anticipated">20</enrollment>
    <condition>Type 1 Diabetes Mellitus With Hypoglycemia</condition>
    <arm_group>
      <arm_group_label>Intervention</arm_group_label>
      <arm_group_type>Experimental</arm_group_type>
      <description>Participants will use the DailyDose Smart Snack smart phone application which contains an AI-based model that predicts the likelihood of overnight low glucose at bedtime every night and will recommend a personalized snack to help avoid nocturnal hypoglycemia. The nutritional content of the snack (carbohydrate, protein, fat, etc.) will be dependent on the predicted overnight minimum glucose and the predicted time of the minimum overnight glucose level. During this arm, participants will also be asked to wear a smart watch overnight, weigh themselves weekly, and answer a one-item sleep quality scale survey weekly.</description>
    </arm_group>
    <arm_group>
      <arm_group_label>Control</arm_group_label>
      <arm_group_type>Active Comparator</arm_group_type>
      <description>Participants will wear Dexcom G6 CGM and will manage their glucose as usual. Participants will be asked to wear a smart watch overnight to collect sleep metrics, weigh themselves weekly in the morning before eating, and answer a one-item sleep quality scale survey weekly.</description>
    </arm_group>
    <intervention>
      <intervention_type>Device</intervention_type>
      <intervention_name>DailyDose Smart Snack app</intervention_name>
      <description>A decision support tool that predicts the likelihood of overnight low blood sugar based on current CGM and inputted exercise. App will recommend a snack at bedtime based on the minimum low glucose predicted and the time of the low glucose.</description>
      <arm_group_label>Intervention</arm_group_label>
    </intervention>
    <intervention>
      <intervention_type>Device</intervention_type>
      <intervention_name>Dexcom G6 CGM</intervention_name>
      <description>A commercially available Continuous Glucose Monitoring system that utilizes a transmitter and sensor to measure sensor glucose levels that transmit to a smart phone app.</description>
      <arm_group_label>Control</arm_group_label>
    </intervention>
    <eligibility>
      <criteria>
        <textblock>
          Inclusion Criteria:&#xD;
  &#xD;
            -  Diagnosis of type 1 diabetes mellitus for at least 1 year&#xD;
  &#xD;
            -  Male or female participants 18 years of age or older&#xD;
  &#xD;
            -  Using multiple daily injections&#xD;
  &#xD;
            -  HbA1c &lt;10% at screening&#xD;
  &#xD;
            -  Current use of a continuous glucose monitoring system with at least two episodes of&#xD;
               overnight hypoglycemia (defined as sensed glucose &lt;70 mg/dL for at least 10 minutes&#xD;
               between the hours of 10 PM and 6 AM) within 30 days prior to screening&#xD;
  &#xD;
            -  Individuals with history of severe hypoglycemia requiring third party assistance must&#xD;
               have a companion in the same dwelling as the study participant who will be linked to&#xD;
               the participant's Dexcom app during the control arm of the study, and who is trained&#xD;
               in the administration of glucagon.&#xD;
  &#xD;
            -  Willingness to follow all study procedures&#xD;
  &#xD;
            -  Willingness to sign informed consent and HIPAA documents&#xD;
  &#xD;
          Exclusion Criteria:&#xD;
  &#xD;
            -  Individual of childbearing potential who is pregnant or intending to become pregnant&#xD;
               or breast-feeding or is not using adequate contraceptive methods. Acceptable&#xD;
               contraception includes birth control pill / patch / vaginal ring, Depo-Provera,&#xD;
               Norplant, an IUD, the double barrier method (the woman uses a diaphragm and&#xD;
               spermicide, and the man uses a condom), or abstinence&#xD;
  &#xD;
            -  Any active infection&#xD;
  &#xD;
            -  Known or suspected abuse of alcohol, narcotics, or illicit drugs (except marijuana&#xD;
               use)&#xD;
  &#xD;
            -  Seizure disorder&#xD;
  &#xD;
            -  Use of non-insulin glucose lowering medications&#xD;
  &#xD;
            -  Use of steroids&#xD;
  &#xD;
            -  Stage-three or more advanced chronic kidney disease&#xD;
  &#xD;
            -  Hypo- or hyper- thyroidism that is not medically optimized and on a stable regimen&#xD;
               define as Thyroid-stimulating hormone (TSH) outside of the normal reference range&#xD;
               based on screening labs&#xD;
  &#xD;
            -  Adrenal insufficiency&#xD;
  &#xD;
            -  Cirrhosis&#xD;
  &#xD;
            -  Any life-threatening disease, including malignant neoplasms and medical history of&#xD;
               malignant neoplasms within the past 5 years prior to screening (except basal and&#xD;
               squamous cell skin cancer).&#xD;
  &#xD;
            -  Any clinically significant disease or disorder which in the opinion of the&#xD;
               Investigator may jeopardize the participant's safety or compliance with the protocol&#xD;
  &#xD;
            -  Individual working night shifts&#xD;
        </textblock>
      </criteria>
      <gender>All</gender>
      <minimum_age>18 Years</minimum_age>
      <maximum_age>100 Years</maximum_age>
      <healthy_volunteers>No</healthy_volunteers>
    </eligibility>
    <overall_contact>
      <last_name>Clara Mosquera-Lopez, PhD</last_name>
      <phone>503-418-9331</phone>
      <email>mosquera@ohsu.edu</email>
    </overall_contact>
    <overall_contact_backup>
      <last_name>Deborah Branigan</last_name>
      <phone>15034189070</phone>
      <email>branigad@ohsu.edu</email>
    </overall_contact_backup>
    <location>
      <facility>
        <name>Oregon Health and Science University</name>
        <address>
          <city>Portland</city>
          <state>Oregon</state>
          <zip>97239</zip>
          <country>United States</country>
        </address>
      </facility>
      <status>Recruiting</status>
      <contact>
        <last_name>Deborah Branigan</last_name>
        <phone>503-418-9070</phone>
        <email>branigad@ohsu.edu</email>
      </contact>
    </location>
    <location_countries>
      <country>United States</country>
    </location_countries>
    <verification_date>March 2023</verification_date>
    <study_first_submitted>July 21, 2023</study_first_submitted>
    <study_first_submitted_qc>July 21, 2023</study_first_submitted_qc>
    <study_first_posted type="Actual">August 1, 2023</study_first_posted>
    <last_update_submitted>September 6, 2023</last_update_submitted>
    <last_update_submitted_qc>September 6, 2023</last_update_submitted_qc>
    <last_update_posted type="Actual">September 8, 2023</last_update_posted>
    <responsible_party>
      <responsible_party_type>Sponsor</responsible_party_type>
    </responsible_party>
    <keyword>Decision Support</keyword>
    <keyword>Dexcom CGM</keyword>
    <condition_browse>
      <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
      <mesh_term>Diabetes Mellitus, Type 1</mesh_term>
      <mesh_term>Hypoglycemia</mesh_term>
    </condition_browse>
    <!-- Results have not yet been posted for this study                                          -->
  </clinical_study>
  
  
text: download date: ClinicalTrials.gov processed this data on September 20, 2023
  link text: Link to the current ClinicalTrials.gov record.
  url: https://clinicaltrials.gov/ct2/show/NCT05967260
  org study id: 25174
  nct id: NCT05967260
  lead sponsor: 
  has dmc: No
  is fda regulated drug: No
  is fda regulated device: Yes
  This is a single-center, open-label, crossover trial with two arms and two periods (2x2) and
        one-week washout period. The study is designed to evaluate the efficacy of an AI-based
        bedtime smart snack intervention in reducing nocturnal low glucose in people living with T1D
        on MDI therapy compared with traditional CGM-augmented MDI therapy as the control.
  Participants will be randomized to either first use CGM only to manage glucose for four weeks
        (control arm) followed by four weeks of DailyDose App + bedtime smart snack intervention
        (intervention arm), or vice-versa. There will be a one-week washout period between arms.
  
        During the control arm, participants will wear CGM and will manage their glucose as usual.
        Participants will be asked to wear a smart watch overnight to collect sleep metrics, weigh
        themselves weekly in the morning before eating, and answer a one-item sleep quality scale
        survey weekly. We will collect CGM measurements during the control arm for evaluation of
        effect of intervention and assessment of the accuracy of low glucose prediction.
  
        During the intervention arm, participants will use the DailyDose Smart Snack smart phone app.
        When they are getting ready for bed, an AI-based model in DailyDose will predict the
        likelihood of overnight low glucose at bedtime and will recommend a personalized snack to
        help avoid nocturnal hypoglycemia. The nutritional content of the snack (carbohydrate,
        protein, fat, etc.) will be dependent on the predicted overnight minimum glucose and the
        predicted time of the minimum overnight glucose level. During this arm, participants will
        also be asked to wear a smart watch overnight, weigh themselves weekly, and answer a one-item
        sleep quality scale survey weekly.
  allocation: Randomized
  intervention model: Crossover Assignment
  primary purpose: Treatment
  masking: None (Open Label)
  measure: Probability of overnight hypoglycemia
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: An episode of overnight hypoglycemia is counted if sensor glucose is <70 mg/dL for at least two measurements during an eight-hour period following announced bedtime. This is assessed by number of episodes divided by total number of nights.
  measure: Time to the first overnight low-glucose event (<70 mg/dL)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Number of hours until first CGM measurement <70 mg/dL when CGM remains < 70 mg/dL for at least 10 minutes.
  measure: Percentage of time with sensed glucose less than 54 mg/dL (overnight)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 54 mg/dL overnight (announced bedtime + 8 hours).
  measure: Percentage of time with sensed glucose less than 54 mg/dL (24-hour/day study duration)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 54 mg/dL across the full 24-hour/day study duration.
  measure: Percentage of time with sensed glucose less than 70 mg/dL (overnight)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 70 mg/dL overnight (announced bedtime + 8 hours).
  measure: Percentage of time with sensed glucose less than 70 mg/dL (24-hour/day study duration)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 70 mg/dL across the 24-hour/day study duration.
  measure: Percentage of time with sensed glucose between 70-180 mg/dL (overnight)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are between 70 and 180 mg/dL overnight (announced bedtime + 8 hours).
  measure: Percentage of time with sensed glucose between 70-180 mg/dL (24-hour/day study duration)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are between 70 and 180 mg/dL across the full 24-hour/day study duration.
  measure: Percentage of time with sensed glucose greater than 180 mg/dL (overnight)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 180 mg/dL overnight (announced bedtime + 8 hours).
  measure: Percentage of time with sensed glucose greater than 180 mg/dL (24-hour/day study duration)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 180 mg/dL across the full 24-hour/day study duration.
  measure: Percentage of time sensed glucose greater than 250 mg/dL (overnight)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 250 mg/dL overnight (announced bedtime + 8 hours).
  measure: Percentage of time sensed glucose greater than 250 mg/dL (24-hour/day study duration)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 250 mg/dL across the full 24-hour/day study duration.
  measure: Mean sensed glucose (overnight)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean reported sensor glucose values overnight (announced bedtime + 8 hours) using the Dexcom sensor.
  measure: Mean sensed glucose (24-hour/day study duration)
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Assess the mean reported sensor glucose values across the full 24-hour/day study duration using the Dexcom sensor.
  measure: Accuracy of overnight low glucose prediction by sensitivity
  time frame: 4 weeks of control period
  description: Assessment of accuracy of the overnight low glucose prediction algorithm by sensitivity. This is measured by the number of true positives that the algorithm predicts hypoglycemia overnight divided by all of the hypoglycemic events.
  measure: Accuracy of overnight low glucose prediction by specificity
  time frame: 4 weeks of control period
  description: Assessment of accuracy of the overnight low glucose prediction algorithm by specificity. This is measured by calculating 1.0 minus the false positive rate for overnight hypoglycemia prediction.
  measure: Change in weight
  time frame: 8 weeks (4-week control period vs. 4-week intervention period)
  description: Asses mean weight change from start to end of each arm.
  arm group label: Intervention
  arm group type: Experimental
  description: Participants will use the DailyDose Smart Snack smart phone application which contains an AI-based model that predicts the likelihood of overnight low glucose at bedtime every night and will recommend a personalized snack to help avoid nocturnal hypoglycemia. The nutritional content of the snack (carbohydrate, protein, fat, etc.) will be dependent on the predicted overnight minimum glucose and the predicted time of the minimum overnight glucose level. During this arm, participants will also be asked to wear a smart watch overnight, weigh themselves weekly, and answer a one-item sleep quality scale survey weekly.
  arm group label: Control
  arm group type: Active Comparator
  description: Participants will wear Dexcom G6 CGM and will manage their glucose as usual. Participants will be asked to wear a smart watch overnight to collect sleep metrics, weigh themselves weekly in the morning before eating, and answer a one-item sleep quality scale survey weekly.
  intervention type: Device
  intervention name: DailyDose Smart Snack app
  description: A decision support tool that predicts the likelihood of overnight low blood sugar based on current CGM and inputted exercise. App will recommend a snack at bedtime based on the minimum low glucose predicted and the time of the low glucose.
  arm group label: Intervention
  intervention type: Device
  intervention name: Dexcom G6 CGM
  description: A commercially available Continuous Glucose Monitoring system that utilizes a transmitter and sensor to measure sensor glucose levels that transmit to a smart phone app.
  arm group label: Control
  criteria: 
  gender: All
  minimum age: 18 Years
  maximum age: 100 Years
  healthy volunteers: No
  last name: Clara Mosquera-Lopez, PhD
  phone: 503-418-9331
  email: mosquera@ohsu.edu
  last name: Deborah Branigan
  phone: 15034189070
  email: branigad@ohsu.edu
  facility: 
  status: Recruiting
  contact: 
  country: United States
  responsible party type: Sponsor
  mesh term: Diabetes Mellitus, Type 1
  mesh term: Hypoglycemia