Three Approaches to Glucose Monitoring in Non-insulin Treated Diabetes
Effect of Glucose Monitoring on Patient and Provider Outcomes in Non-insulin Treated Diabetes
1 other identifier
interventional
450
1 country
1
Brief Summary
For the nearly 75% of patients living with type 2 diabetes (T2DM) that do not use insulin, decisions regarding self-monitoring of blood glucose (SMBG) are unclear. SMBG testing is a resource intensive activity without firmly established patient benefits. While SMBG holds great promise for sparking favorable behavior change, the potential for no benefit or even patient harm must be acknowledged. Possible negative effects on patient quality of life must be more closely examined along with the speculative benefits of SMBG in non-insulin treated T2DM. Among studies examining this issue a general consensus is evolving; while SMBG may or may not be useful, its value can only be fully appreciated when the SMBG results are provided to patients in a useful manner. The overarching goal of this proposal is to assess the impact of three different SMBG testing approaches on patient-centered outcomes in patients with non-insulin treated T2DM within the real-world, clinic setting. In this pragmatic trial, 450 patients will be randomized to one of the following three SMBG testing regimens: 1) no SMBG testing, 2) once daily SMBG testing with standard patient feedback consisting of glucose values being immediately reported to the patient through the glucose meter, and 3) once daily SMBG testing with enhanced patient feedback consisting of glucose values being immediately reported to the patient plus automated, tailored feedback messaging. The first two arms represent common SMBG testing approaches. The third arm is an enhanced, patient-centered approach to SMBG testing. SMBG values will be evaluated at routine clinic visits over 52 weeks.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2014
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2014
CompletedFirst Submitted
Initial submission to the registry
January 7, 2014
CompletedFirst Posted
Study publicly available on registry
January 10, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2016
CompletedResults Posted
Study results publicly available
December 14, 2017
CompletedDecember 14, 2017
May 1, 2017
2.7 years
January 7, 2014
November 14, 2016
May 10, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Absolute Change in % Hemoglobin A1c From Baseline at 52 Weeks
Absolute Change in Glycemic Control (% Hemoglobin A1c) from baseline at 52 weeks
Baseline to 52 weeks
Mean Difference in Health-related Quality of Life Scores From Baseline to 52 Weeks
Change in Short Form-36 (SF-36) subscale scores (Physical and Mental subscales) from baseline to 52 weeks. The SF-36 is a widely used measure of health-related quality of life. Each subscale score ranges from 0 - 100, with 100 being the best quality of life score.
Baseline to 52 weeks
Secondary Outcomes (9)
Change in Problem Areas in Diabetes Scores From Baseline to 52 Weeks
Baseline to 52 weeks
Change in Diabetes Symptom Checklist- Revised (DSC-R) Overall Score From Baseline to 52 Weeks
Baseline to 52 weeks
Change in Summary of Diabetes Self Care Activities (SDCA) Subscales From Baseline to 52 Weeks
Baseline to 52 weeks
Change in Diabetes Treatment Satisfaction Questionnaire Subscale Scores From Baseline to 52 Weeks
Baseline to 52 weeks
Change Diabetes Empowerment Scale - Short Form (DES-SF) From Baseline to 52 Weeks
Baseline to 52 weeks
- +4 more secondary outcomes
Study Arms (3)
No testing
NO INTERVENTIONNo testing
standard messaging
OTHERSMBG standard messaging
enhanced messaging
OTHERSMBG enhanced messaging
Interventions
Blood glucose levels are tested once daily.
Eligibility Criteria
You may qualify if:
- A diagnosis of type 2 diabetes
- Age \> 30
- An established patient at the participating UNC Physicians Network (UNCPN) practice who identifies a UNCPN health care provider within that practice as their primary provider of diabetes care.
- A1c \>6.5% but \<9.5% within the 6 months preceding the screening call/visit, as obtained from the patient's medical record.
- Willing to comply with the results of random assignment into a study group.
You may not qualify if:
- Currently sees or plans to see an endocrinologist or other diabetes specialist in the next year.
- Use of insulin
- Is or plans to become pregnant in the next 12 months.
- Plans to relocate in the next 12 months.
- Has other conditions (e.g. renal or cardiovascular disease, poor visual acuity), other factors (e.g. frailty,) or comorbidities (e.g. cancer) that might put the patient at risk when following study protocols.
- No history of significant issues with known or suspected hypoglycemia or any history of "severe" hypoglycemia (requiring assistance from a third party).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The University of North Carolina at Chapel Hill
Chapel Hill, North Carolina, 27599, United States
Related Publications (10)
Nathan DM, Buse JB, Davidson MB, Ferrannini E, Holman RR, Sherwin R, Zinman B; American Diabetes Association; European Association for Study of Diabetes. Medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2009 Jan;32(1):193-203. doi: 10.2337/dc08-9025. Epub 2008 Oct 22.
PMID: 18945920BACKGROUNDQuality of life in type 2 diabetic patients is affected by complications but not by intensive policies to improve blood glucose or blood pressure control (UKPDS 37). U.K. Prospective Diabetes Study Group. Diabetes Care. 1999 Jul;22(7):1125-36. doi: 10.2337/diacare.22.7.1125.
PMID: 10388978BACKGROUNDVijan S. In the clinic. Type 2 diabetes. Ann Intern Med. 2010 Mar 2;152(5):ITC31-15; quiz ITC316. doi: 10.7326/0003-4819-152-5-201003020-01003.
PMID: 20194231BACKGROUNDAmerican Diabetes Association. Standards of medical care in diabetes--2014. Diabetes Care. 2014 Jan;37 Suppl 1:S14-80. doi: 10.2337/dc14-S014. No abstract available.
PMID: 24357209BACKGROUNDTowfigh A, Romanova M, Weinreb JE, Munjas B, Suttorp MJ, Zhou A, Shekelle PG. Self-monitoring of blood glucose levels in patients with type 2 diabetes mellitus not taking insulin: a meta-analysis. Am J Manag Care. 2008 Jul;14(7):468-75.
PMID: 18611098BACKGROUNDAllemann S, Houriet C, Diem P, Stettler C. Self-monitoring of blood glucose in non-insulin treated patients with type 2 diabetes: a systematic review and meta-analysis. Curr Med Res Opin. 2009 Dec;25(12):2903-13. doi: 10.1185/03007990903364665.
PMID: 19827909BACKGROUNDFarmer AJ, Perera R, Ward A, Heneghan C, Oke J, Barnett AH, Davidson MB, Guerci B, Coates V, Schwedes U, O'Malley S. Meta-analysis of individual patient data in randomised trials of self monitoring of blood glucose in people with non-insulin treated type 2 diabetes. BMJ. 2012 Feb 27;344:e486. doi: 10.1136/bmj.e486.
PMID: 22371867BACKGROUNDKowitt SD, Donahue KE, Fisher EB, Mitchell M, Young LA. How is neighborhood social disorganization associated with diabetes outcomes? A multilevel investigation of glycemic control and self-reported use of acute or emergency health care services. Clin Diabetes Endocrinol. 2018 Oct 19;4:19. doi: 10.1186/s40842-018-0069-0. eCollection 2018.
PMID: 30377539DERIVEDYoung LA, Buse JB, Weaver MA, Vu MB, Mitchell CM, Blakeney T, Grimm K, Rees J, Niblock F, Donahue KE; Monitor Trial Group. Glucose Self-monitoring in Non-Insulin-Treated Patients With Type 2 Diabetes in Primary Care Settings: A Randomized Trial. JAMA Intern Med. 2017 Jul 1;177(7):920-929. doi: 10.1001/jamainternmed.2017.1233.
PMID: 28600913DERIVEDYoung LA, Buse JB, Weaver MA, Vu MB, Reese A, Mitchell CM, Blakeney T, Grimm K, Rees J, Donahue KE. Three approaches to glucose monitoring in non-insulin treated diabetes: a pragmatic randomized clinical trial protocol. BMC Health Serv Res. 2017 May 25;17(1):369. doi: 10.1186/s12913-017-2202-7.
PMID: 28545493DERIVED
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. Katrina Donahue
- Organization
- University of North Carolina at Chapel Hill
Study Officials
- PRINCIPAL INVESTIGATOR
Katrina E Donahue, MD, MPH
University of North Carolina, Chapel Hill
- PRINCIPAL INVESTIGATOR
Laura A Young, MD, PhD
University of North Carolina, Chapel Hill
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- INVESTIGATOR
- Masking Details
- The investigators including the bio-statistician were blind to the study assignment.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
January 7, 2014
First Posted
January 10, 2014
Study Start
January 1, 2014
Primary Completion
September 1, 2016
Study Completion
September 1, 2016
Last Updated
December 14, 2017
Results First Posted
December 14, 2017
Record last verified: 2017-05
Data Sharing
- IPD Sharing
- Will share
De-identified public use data files and documentation will allow researchers to have access to the final research data collected for this study. Care will be taken to remove indirect identifiers or other information that could result in the inadvertent disclosure of participants' identities due to the occurrence of unusual data elements. The public use database will be stored at the University of North Carolina's Sheps Center for Health Services Research. Researchers who would like access to the public-use data files for this study must enter into a data use agreement to ensure that the information will be used solely for statistical analysis or research reporting purposes. The project co-investigators in conjunction with the project manager will review requests for data and authorize provision of instructions and passwords needed to download the dataset. The public use data will be available after submission of the publication reporting the main trial findings.