Diabetes, GestationalNCT05453357
Feasibility and Acceptability of a Remote Glucose Monitoring Program for Pregnant Marshallese Women
An observational study of Diabetes, Gestational and Diabetes Mellitus Type 2 Pre-Existing, run by University of Arkansas.
Trial summary
The overall objective is to test the feasibility and acceptability of a remote glucose monitoring program among Marshallese women with PGDM (pre-gestational diabetes mellitus) or GDM (gestational diabetes mellitus) and with limited English proficiency. Read more about this study
- Who is it for?
- Ages 18 to 50 years, women only
- Conditions the study is for
- Diabetes, Gestational, Diabetes Mellitus Type 2 Pre-Existing
- What is being tested?
- iGlucose
- Type of treatment
- Medical device
- How many people
- 0 participants
- Where
- No sites listed yet
- Study dates
- 10 Oct 2024to 10 Oct 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
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 to 50 years
- Women only
- No healthy volunteers
- Adult
Study population: Twenty Marshallese women with pregestational or gestational diabetes.
Who may be able to join
- Women who self-identify as Marshallese
- 18 years of age or older
- ≤30 weeks pregnant
- Receive prenatal care at University of Arkansas for Medical Sciences (UAMS) and partner clinics and hospitals
- Have used a paper log for at least two weeks
- Have a diagnosis of PGDM (pre-gestational diabetes mellitus) or GDM (gestational diabetes mellitus).
Who cannot join
- Women who are unable to use a glucometer by themselves
- Have not used a paper log
- Have a continuous glucose monitor
- More than 30 weeks pregnant
About this study
Official title: Feasibility and Acceptability of a Remote Glucose Monitoring Program for Pregnant Marshallese Women with Pregnancies Complicated by Diabetes
The overall objective is to test the feasibility and acceptability of a remote glucose monitoring program among Marshallese women with PGDM (pre-gestational diabetes mellitus) or GDM (gestational diabetes mellitus) and with limited English proficiency.
Read the detailed description
iGlucose Remote Monitoring System. iGlucose is a remote patient monitoring system. The iGlucose monitor works by analyzing a small amount of blood placed on a strip that is inserted into the monitor, similar to a standard glucometer. The iGlucose monitor will show the patient their glucose reading and will automatically send the patient's glucose reading to a database via cellular networks when the patient removes the strip from the device. The iGlucose monitor does not require any recording on the part of the patient. The iGlucose data is managed through a HIPAA-compliant Amazon Web Services (AWS) database maintained by Smartmeter. The data is available to the provider to monitor the patient's blood glucose levels accurately and in a timely manner, allowing for treatment to be adjusted. The data is available for the physician during every patient contact for review and discussion.
Patients will be provided with the iGlucose monitor at the baseline data collection. A trained bilingual research assistant will review the iGlucose guide with the participant, provide training on the use of the monitor, taking a blood glucose reading with the monitor, and the patient will use the iGlucose monitor once in front of the research assistant. The patient will receive a packet of information in their language of choice (English and/or Marshallese). The packet will include information on how to use the monitor (including the iGlucose Guide) and contact information if there are any problems with the monitor during the study. The patient will use the monitor as instructed by their healthcare team to monitor their blood glucose. The patient will return the equipment at the completion of the study.
The participant will provide their physician's information as part of the study, so that the investigators may provide access to the iGlucose blood glucose readings through the electronic guidebook and contact the physician post-intervention to complete a survey.
- Being tested
- iGlucose
- Medical subject headings
- Diabetes, Gestational
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
iGlucoseDevice
The patient will use the monitor as instructed by their healthcare team to monitor their blood glucose.
| Study group | Role | What they receive |
|---|---|---|
| iGlucose Remote Glucose Monitoring | Patients will be provided with the iGlucose monitor at baseline data collection. Receives: Device: iGlucose |
What is being measured
The primary outcome is the main question the study is designed to answer.
Overall Acceptability of Remote Glucose Monitoring
The investigator will conduct a t-test (α=.05) using the post-intervention scores on the glucose monitoring satisfaction survey given to participants; a higher mean score demonstrating more satisfaction with the iGlucose remote monitoring system (range 0-60). The semi-structured interview qualitative data will be analyzed to explore the feasibility and acceptability of the intervention qualitatively. The investigator will use descriptive statistics to assess physician satisfaction with the iGlucose remote monitoring system. Given the small size of the pilot study, the investigator will conduct a review of the disaggregated data to determine the individual differences between pre- and post-intervention scores on the glucose monitoring satisfaction measure to better understand the changes in glucose monitoring satisfaction.
Measured: Change in baseline glucose monitoring satisfaction score at two weeks postpartum
Overall Feasibility of Remote Glucose Monitoring
The investigator will use summary statistics to document and compare actual recruitment and retention rates with the target rates. A recruitment rate of ≥70% of all eligible participants, a retention rate through postnatal data collection of ≥80%, and an engagement rate of ≥75% of recommended daily glucose checks completed during the enrollment period will indicate feasibility.
Measured: Retention at two weeks postpartum
Secondary outcomes (2)
Changes in patient-physician communication
The investigator will conduct repeated measures t-test (α=.05) using pre- and post-intervention patient satisfaction with patient-physician communication scores from the Assessment of Care for Chronic Conditions+ (ACC+) survey measures. The repeated measures t-test will assess whether the post-intervention mean ACC+ score (range 0-100) is significantly higher than the pre-intervention score, indicating increased patient satisfaction with patient-physician communication.
Measured: Change in baseline Assessment of Care for Chronic Conditions+ (ACC+) score at two weeks postpartum
Changes in self-efficacy
The investigator will conduct repeated measures t-test (α=.05) using pre- and post-intervention self-efficacy scores from the Diabetes Management Self-Efficacy Scale (DMSES) (range 0-80).
Measured: Change in baseline self-efficacy score at two weeks postpartum
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Jul 2022
- Study start10 Oct 2024
- Primary completion10 Oct 2024
- Study completion10 Oct 2024
Why it stopped: Funding ended before enrollment
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (12)Papers the sponsor has linked to this study.
- Other trials for Diabetes, GestationalStudies of the same condition, open and under way.
- More trials run by University of ArkansasThe 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
- Observational
- Observational model
- Case only
- Time perspective
- Prospective
- Enrolment
- 0 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Arkansas
- Sponsor type
- University, hospital or other
- Collaborators
- National Center for Advancing Translational Sciences (NCATS)
- Responsible party
- Sponsor
- Investigators
- Jennifer A Andersen, PhD, Principal investigator, University of Arkansas
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05453357
- Sponsor's protocol ID
- 274147
- Other IDs
- UL1TR003107, KL2TR003108
- Status last verified
- Apr 2024
- First submitted
- 6 Jul 2022
- Last updated
- 12 Nov 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
McElfish PA, Rowland B, Long CR, Hudson J, Piel M, Buron B, Riklon S, Bing WI, Warmack TS. Diabetes and Hypertension in Marshallese Adults: Results from Faith-Based Health Screenings. J Racial Ethn Health Disparities. 2017 Dec;4(6):1042-1050. doi: 10.1007/s40615-016-0308-y. Epub 2016 Nov 11.
PubMed 27837454Bogdanet D, Egan A, Reddin C, Kirwan B, Carmody L, Dunne F. ATLANTIC DIP: Despite insulin therapy in women with IADPSG diagnosed GDM, desired pregnancy outcomes are still not achieved. What are we missing? Diabetes Res Clin Pract. 2018 Feb;136:116-123. doi: 10.1016/j.diabres.2017.12.003. Epub 2017 Dec 15.
PubMed 29253626Alexopoulos AS, Blair R, Peters AL. Management of Preexisting Diabetes in Pregnancy: A Review. JAMA. 2019 May 14;321(18):1811-1819. doi: 10.1001/jama.2019.4981.
PubMed 31087027Sushko K, Menezes HT, Strachan P, Butt M, Sherifali D. Self-management education among women with pre-existing diabetes in pregnancy: A scoping review. Int J Nurs Stud. 2021 May;117:103883. doi: 10.1016/j.ijnurstu.2021.103883. Epub 2021 Jan 20.
PubMed 33548591American Diabetes Association. 14. Management of Diabetes in Pregnancy: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020 Jan;43(Suppl 1):S183-S192. doi: 10.2337/dc20-S014.
PubMed 31862757Berger H, Gagnon R, Sermer M, Basso M, Bos H, Brown RN, Bujold E, Cooper SL, Gagnon R, Gouin K, McLeod NL, Menticoglou SM, Mundle WR, Roggensack A, Sanderson FL, Walsh JD. Diabetes in Pregnancy. J Obstet Gynaecol Can. 2016 Jul;38(7):667-679.e1. doi: 10.1016/j.jogc.2016.04.002. Epub 2016 May 12.
PubMed 27591352Schaefer-Graf U, Napoli A, Nolan CJ; Diabetic Pregnancy Study Group. Diabetes in pregnancy: a new decade of challenges ahead. Diabetologia. 2018 May;61(5):1012-1021. doi: 10.1007/s00125-018-4545-y. Epub 2018 Jan 22.
PubMed 29356835Goyal S, Cafazzo JA. Mobile phone health apps for diabetes management: current evidence and future developments. QJM. 2013 Dec;106(12):1067-9. doi: 10.1093/qjmed/hct203. Epub 2013 Oct 8.
PubMed 24106313Guo H, Zhang Y, Li P, Zhou P, Chen LM, Li SY. Evaluating the effects of mobile health intervention on weight management, glycemic control and pregnancy outcomes in patients with gestational diabetes mellitus. J Endocrinol Invest. 2019 Jun;42(6):709-714. doi: 10.1007/s40618-018-0975-0. Epub 2018 Nov 7.
PubMed 30406378Andersen JA, Scoggins D, Michaud T, Wan N, Wen M, Su D. Racial Disparities in Diabetes Management Outcomes: Evidence from a Remote Patient Monitoring Program for Type 2 Diabetic Patients. Telemed J E Health. 2021 Jan;27(1):55-61. doi: 10.1089/tmj.2019.0280. Epub 2020 Apr 17.
PubMed 32302521Mora P, Buskirk A, Lyden M, Parkin CG, Borsa L, Petersen B. Use of a Novel, Remotely Connected Diabetes Management System Is Associated with Increased Treatment Satisfaction, Reduced Diabetes Distress, and Improved Glycemic Control in Individuals with Insulin-Treated Diabetes: First Results from the Personal Diabetes Management Study. Diabetes Technol Ther. 2017 Dec;19(12):715-722. doi: 10.1089/dia.2017.0206. Epub 2017 Oct 13.
PubMed 29027812Diamond L, Izquierdo K, Canfield D, Matsoukas K, Gany F. A Systematic Review of the Impact of Patient-Physician Non-English Language Concordance on Quality of Care and Outcomes. J Gen Intern Med. 2019 Aug;34(8):1591-1606. doi: 10.1007/s11606-019-04847-5. Epub 2019 May 30.
PubMed 31147980
Study at a glance
From the registry record, last updated by the sponsor on 12 Nov 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Feasibility and Acceptability of a Remote Glucose Monitoring Program for Pregnant Marshallese Women with Pregnancies Complicated by Diabetes
- ClinicalTrials.gov ID
- NCT05453357
- Acronym / sponsor ID
- 274147
- Study type
- Observational
- Recruitment status
- WithdrawnReason stopped: Funding ended before enrollment
- Enrolment
- 0 participants (actual)
- Lead sponsor
- University of ArkansasUniversity, hospital or other
- Collaborators
- National Center for Advancing Translational Sciences (NCATS)
- Study start
- 10 Oct 2024 (actual)
- Primary completion
- 10 Oct 2024 (actual)
- Study completion
- 10 Oct 2024 (actual)
- First posted
- 12 Jul 2022 (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.
The overall objective is to test the feasibility and acceptability of a remote glucose monitoring program among Marshallese women with PGDM (pre-gestational diabetes mellitus) or GDM (gestational diabetes mellitus) and with limited English proficiency.
Detailed description
iGlucose Remote Monitoring System. iGlucose is a remote patient monitoring system. The iGlucose monitor works by analyzing a small amount of blood placed on a strip that is inserted into the monitor, similar to a standard glucometer. The iGlucose monitor will show the patient their glucose reading and will automatically send the patient's glucose reading to a database via cellular networks when the patient removes the strip from the device. The iGlucose monitor does not require any recording on the part of the patient. The iGlucose data is managed through a HIPAA-compliant Amazon Web Services (AWS) database maintained by Smartmeter. The data is available to the provider to monitor the patient's blood glucose levels accurately and in a timely manner, allowing for treatment to be adjusted. The data is available for the physician during every patient contact for review and discussion.
Patients will be provided with the iGlucose monitor at the baseline data collection. A trained bilingual research assistant will review the iGlucose guide with the participant, provide training on the use of the monitor, taking a blood glucose reading with the monitor, and the patient will use the iGlucose monitor once in front of the research assistant. The patient will receive a packet of information in their language of choice (English and/or Marshallese). The packet will include information on how to use the monitor (including the iGlucose Guide) and contact information if there are any problems with the monitor during the study. The patient will use the monitor as instructed by their healthcare team to monitor their blood glucose. The patient will return the equipment at the completion of the study.
The participant will provide their physician's information as part of the study, so that the investigators may provide access to the iGlucose blood glucose readings through the electronic guidebook and contact the physician post-intervention to complete a survey.
Study design
- Observational model
- Case only
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| iGlucose Remote Glucose Monitoring | – | Device: iGlucosePatients will be provided with the iGlucose monitor at baseline data collection. |
Who may qualify
- Ages
- 18 to 50 years
- Sex
- Female only
- Healthy volunteers
- Not accepted
- Age groups
- Adult
- Study population
- Twenty Marshallese women with pregestational or gestational diabetes.
Key inclusion criteria (6 listed)
- Women who self-identify as Marshallese
- 18 years of age or older
- ≤30 weeks pregnant
- Receive prenatal care at University of Arkansas for Medical Sciences (UAMS) and partner clinics and hospitals
- Have used a paper log for at least two weeks
Key exclusion criteria (4 listed)
- Women who are unable to use a glucometer by themselves
- Have not used a paper log
- Have a continuous glucose monitor
- More than 30 weeks pregnant
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 |
|---|---|---|
| iGlucoseThe patient will use the monitor as instructed by their healthcare team to monitor their blood glucose. | Device | iGlucose Remote Glucose Monitoring |
Primary outcome
Overall Acceptability of Remote Glucose Monitoring
Time frame: Change in baseline glucose monitoring satisfaction score at two weeks postpartum
The investigator will conduct a t-test (α=.05) using the post-intervention scores on the glucose monitoring satisfaction survey given to participants; a higher mean score demonstrating more satisfaction with the iGlucose remote monitoring system (range 0-60). The semi-structured interview qualitative data will be analyzed to explore the feasibility and acceptability of the intervention qualitatively. The investigator will use descriptive statistics to assess physician satisfaction with the iGlucose remote monitoring system. Given the small size of the pilot study, the investigator will conduct a review of the disaggregated data to determine the individual differences between pre- and post-intervention scores on the glucose monitoring satisfaction measure to better understand the changes in glucose monitoring satisfaction.
Overall Feasibility of Remote Glucose Monitoring
Time frame: Retention at two weeks postpartum
The investigator will use summary statistics to document and compare actual recruitment and retention rates with the target rates. A recruitment rate of ≥70% of all eligible participants, a retention rate through postnatal data collection of ≥80%, and an engagement rate of ≥75% of recommended daily glucose checks completed during the enrollment period will indicate feasibility.
2 secondary outcomes
Changes in patient-physician communication
Time frame: Change in baseline Assessment of Care for Chronic Conditions+ (ACC+) score at two weeks postpartum
Changes in self-efficacy
Time frame: Change in baseline self-efficacy score at two weeks postpartum
Results and safety
The study was withdrawn before enrolling participants, so there are no results.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 12 Nov 2024.
- Background: PubMed 27837454McElfish PA, Rowland B, Long CR, Hudson J, Piel M, Buron B, Riklon S, Bing WI, Warmack TS. Diabetes and Hypertension in Marshallese Adults: Results from Faith-Based Health Screenings. J Racial Ethn Health Disparities. 2017 Dec;4(6):1042-1050. doi: 10.1007/s40615-016-0308-y. Epub 2016 Nov 11.
- Background: PubMed 29253626Bogdanet D, Egan A, Reddin C, Kirwan B, Carmody L, Dunne F. ATLANTIC DIP: Despite insulin therapy in women with IADPSG diagnosed GDM, desired pregnancy outcomes are still not achieved. What are we missing? Diabetes Res Clin Pract. 2018 Feb;136:116-123. doi: 10.1016/j.diabres.2017.12.003. Epub 2017 Dec 15.
- Background: PubMed 31087027Alexopoulos AS, Blair R, Peters AL. Management of Preexisting Diabetes in Pregnancy: A Review. JAMA. 2019 May 14;321(18):1811-1819. doi: 10.1001/jama.2019.4981.
- Background: PubMed 33548591Sushko K, Menezes HT, Strachan P, Butt M, Sherifali D. Self-management education among women with pre-existing diabetes in pregnancy: A scoping review. Int J Nurs Stud. 2021 May;117:103883. doi: 10.1016/j.ijnurstu.2021.103883. Epub 2021 Jan 20.
- Background: PubMed 31862757American Diabetes Association. 14. Management of Diabetes in Pregnancy: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020 Jan;43(Suppl 1):S183-S192. doi: 10.2337/dc20-S014.
- Background: PubMed 27591352Berger H, Gagnon R, Sermer M, Basso M, Bos H, Brown RN, Bujold E, Cooper SL, Gagnon R, Gouin K, McLeod NL, Menticoglou SM, Mundle WR, Roggensack A, Sanderson FL, Walsh JD. Diabetes in Pregnancy. J Obstet Gynaecol Can. 2016 Jul;38(7):667-679.e1. doi: 10.1016/j.jogc.2016.04.002. Epub 2016 May 12.
- Background: PubMed 29356835Schaefer-Graf U, Napoli A, Nolan CJ; Diabetic Pregnancy Study Group. Diabetes in pregnancy: a new decade of challenges ahead. Diabetologia. 2018 May;61(5):1012-1021. doi: 10.1007/s00125-018-4545-y. Epub 2018 Jan 22.
- Background: PubMed 24106313Goyal S, Cafazzo JA. Mobile phone health apps for diabetes management: current evidence and future developments. QJM. 2013 Dec;106(12):1067-9. doi: 10.1093/qjmed/hct203. Epub 2013 Oct 8.
- Background: PubMed 30406378Guo H, Zhang Y, Li P, Zhou P, Chen LM, Li SY. Evaluating the effects of mobile health intervention on weight management, glycemic control and pregnancy outcomes in patients with gestational diabetes mellitus. J Endocrinol Invest. 2019 Jun;42(6):709-714. doi: 10.1007/s40618-018-0975-0. Epub 2018 Nov 7.
- Background: PubMed 32302521Andersen JA, Scoggins D, Michaud T, Wan N, Wen M, Su D. Racial Disparities in Diabetes Management Outcomes: Evidence from a Remote Patient Monitoring Program for Type 2 Diabetic Patients. Telemed J E Health. 2021 Jan;27(1):55-61. doi: 10.1089/tmj.2019.0280. Epub 2020 Apr 17.
- Background: PubMed 29027812Mora P, Buskirk A, Lyden M, Parkin CG, Borsa L, Petersen B. Use of a Novel, Remotely Connected Diabetes Management System Is Associated with Increased Treatment Satisfaction, Reduced Diabetes Distress, and Improved Glycemic Control in Individuals with Insulin-Treated Diabetes: First Results from the Personal Diabetes Management Study. Diabetes Technol Ther. 2017 Dec;19(12):715-722. doi: 10.1089/dia.2017.0206. Epub 2017 Oct 13.
- Background: PubMed 31147980Diamond L, Izquierdo K, Canfield D, Matsoukas K, Gany F. A Systematic Review of the Impact of Patient-Physician Non-English Language Concordance on Quality of Care and Outcomes. J Gen Intern Med. 2019 Aug;34(8):1591-1606. doi: 10.1007/s11606-019-04847-5. Epub 2019 May 30.
- Individual participant dataSharing planned: No
Related trials for Diabetes, Gestational
Active, not recruiting
Effect of Probiotics on Insulin Sensitivity in Overweight and Obese Pregnancy
Obesity & Overweight, Gestational Diabetes Mellitus (GDM)
Not yet recruitingObservational study
Ultrasound Assessment Of Gastric Volume In Pregnant Women Undergoing Elective Cesarean Section
Gestational Diabetes Mellitus (GDM), Obstetric Anesthesia
Active, not recruitingPhase 2
Effectiveness Study of a Lifestyle Intervention Versus Metformin in Mothers With Recent Gestational Diabetes
Weight Loss, Gestational Diabetes Mellitus in Pregnancy
Not yet recruiting
STRONG: SMART Trial
Gestational Diabetes Mellitus (GDM)
Not yet recruiting
A Study to Lower Blood Pressure One Year After Childbirth in Women Who Had Preeclampsia
Adverse Pregnancy Outcomes, Cardiovascular Diseases
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.
Jennifer A Andersen, PhD principal investigator
University of Arkansas
Questions about this trial
What is this clinical trial studying?
An observational study of Diabetes, Gestational and Diabetes Mellitus Type 2 Pre-Existing, run by University of Arkansas.
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 6 inclusion and 4 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: withdrawn, as of the sponsor's last update on 12 Nov 2024. Status can change between updates, so confirm with the study contact before making plans.
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?
The study was withdrawn before enrolling participants, so there are no results.
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?
Overall Acceptability of Remote Glucose Monitoring (time frame: Change in baseline glucose monitoring satisfaction score at two weeks postpartum). The study lists 2 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 NCT05453357, which also lists 12 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 12 Nov 2024.