Feasibility and Acceptability of a Remote Glucose Monitoring Program for Pregnant Marshallese Women

NCT ID: NCT05453357

Last Updated: 2024-11-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

WITHDRAWN

Study Classification

OBSERVATIONAL

Study Start Date

2024-10-10

Study Completion Date

2024-10-10

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

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.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Diabetes, Gestational Diabetes Mellitus Type 2 Pre-Existing

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

iGlucose Remote Glucose Monitoring

Patients will be provided with the iGlucose monitor at baseline data collection.

iGlucose

Intervention Type DEVICE

The patient will use the monitor as instructed by their healthcare team to monitor their blood glucose.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

iGlucose

The patient will use the monitor as instructed by their healthcare team to monitor their blood glucose.

Intervention Type DEVICE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 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).

Exclusion Criteria

* 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
Minimum Eligible Age

18 Years

Maximum Eligible Age

50 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

National Center for Advancing Translational Sciences (NCATS)

NIH

Sponsor Role collaborator

University of Arkansas

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Jennifer A Andersen, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Arkansas

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type BACKGROUND
PMID: 27837454 (View on PubMed)

Bogdanet 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.

Reference Type BACKGROUND
PMID: 29253626 (View on PubMed)

Alexopoulos 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.

Reference Type BACKGROUND
PMID: 31087027 (View on PubMed)

Sushko 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.

Reference Type BACKGROUND
PMID: 33548591 (View on PubMed)

American 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.

Reference Type BACKGROUND
PMID: 31862757 (View on PubMed)

Berger 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.

Reference Type BACKGROUND
PMID: 27591352 (View on PubMed)

Schaefer-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.

Reference Type BACKGROUND
PMID: 29356835 (View on PubMed)

Goyal 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.

Reference Type BACKGROUND
PMID: 24106313 (View on PubMed)

Guo 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.

Reference Type BACKGROUND
PMID: 30406378 (View on PubMed)

Andersen 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.

Reference Type BACKGROUND
PMID: 32302521 (View on PubMed)

Mora 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.

Reference Type BACKGROUND
PMID: 29027812 (View on PubMed)

Diamond 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.

Reference Type BACKGROUND
PMID: 31147980 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

UL1TR003107

Identifier Type: NIH

Identifier Source: secondary_id

View Link

KL2TR003108

Identifier Type: NIH

Identifier Source: secondary_id

View Link

274147

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.