- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05754008
Care Navigator Support for Younger Latinx Adults With Type 2 Diabetes (AURORA)
May 2, 2024 updated by: Kaiser Permanente
A Randomized Trial of Care Navigator to Support Younger Latinx Adults Newly Diagnosed With Type 2 Diabetes (AURORA)
The study proposes to rigorously evaluate a proactive, culturally responsive care navigator intervention targeting younger-onset Latinx individuals with a new T2D diagnosis (AURORA [Active Outreach to Younger Latinx]) within Kaiser Permanente Northern California (KPNC).
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
The study has three primary objectives: 1) learn what is required to create and sustain a care navigator workforce and document our experience hiring a care navigator for the study, 2) implement and evaluate the AURORA strategy within KPNC, and 3) refine and adapt the AURORA strategy for future Kaiser Permanente (KP) wide dissemination.
The AURORA strategy centers on a care navigator who will proactively conduct three telemedicine visits tailored to Latinx adults with early onset type 2 diabetes (T2D, defined as age <45 years).
The AURORA strategy will conducted with the following five goals: 1) assessment of familiarity and use of T2D care within KP, 2) assessment of individual's self-management support needs, 3) motivational interviewing to support behavior change, 4) pragmatic skills training, including use of crucial technologies to support self-management, and 5) matching member's needs with existing KPNC T2D resources.
Study Type
Interventional
Enrollment (Estimated)
204
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Amy Valdati
- Phone Number: 510-410-6659
- Email: amy.valdati@kp.org
Study Locations
-
-
California
-
Oakland, California, United States, 94612
- Recruiting
- Kaiser Permanente Northern California
-
Contact:
- Amy Valdati
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
21 years to 44 years (Adult)
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
- KPNC member, age >20 and age <45 with
- New clinical diagnosis of T2D within the prior 1-8 months
- HbA1c≥8%. If the study team are having trouble recruiting an adequate sample, the study team may lower the HbA1c threshold to ≥7.5%
- Proficient (written and spoken) in English or Spanish
Exclusion Criteria:
- Pregnant women
- Type 1 Diabetes
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: AURORA Care Strategy
Participants will receive the AURORA Care Strategy in addition to their usual diabetes care.
|
Participants will be invited to partake in three telemedicine visits with the care navigator during the months following diagnosis.
The visits center around proactive and tailored T2D self-management support.
|
|
No Intervention: Usual Care
No intervention will be employed.
This arm will continue to receive their usual diabetes care.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Differences between study arms in HbA1c change 6-months following enrollment
Time Frame: 6-months following enrollment
|
Change in HbA1c will be assessed using HbA1c values obtained through routine care, with the most recent HbA1c preceding study enrollment and the HbA1c value closest to 6-months following enrollment used to assess HbA1c change.
|
6-months following enrollment
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Healthcare contact
Time Frame: 6-months following enrollment
|
Differences in healthcare contact with members of the T2D diabetes care team, including care manager, PCPs, educators.
|
6-months following enrollment
|
|
Completion of recommended HbA1c monitoring
Time Frame: 6-months following enrollment
|
Completing HbA1c labs
|
6-months following enrollment
|
|
T2D-related medication initiation
Time Frame: 6-months following enrollment
|
Initiation of T2D-related medication
|
6-months following enrollment
|
|
T2D-related medication adherence
Time Frame: 6-months following enrollment
|
Adherence to T2D-related medication
|
6-months following enrollment
|
|
Use of remote glucose monitoring to measure glucose levels
Time Frame: 6-months following enrollment
|
Use of a remote glucose monitoring to measure glucose levels
|
6-months following enrollment
|
|
Participant-reported measures: Confidence in Accessing Care
Time Frame: 3-months following enrollment
|
Assessed at 3-month survey
|
3-months following enrollment
|
|
Participant-reported measures: Diet and Exercise
Time Frame: 3-months following enrollment
|
Assessed at 3-month survey
|
3-months following enrollment
|
|
Participant-reported measures: Self-efficacy for diabetes
Time Frame: 3-months following enrollment
|
Assessed at 3-month survey
|
3-months following enrollment
|
|
Participant-reported measures: Motivation and locus of control
Time Frame: 3-months following enrollment
|
Assessed at 3-month survey
|
3-months following enrollment
|
|
Participant-reported measures: Diabetes distress
Time Frame: 3-months following enrollment
|
Assessed at 3-month survey
|
3-months following enrollment
|
|
Participant-reported measures: Diabetes stigma
Time Frame: 3-months following enrollment
|
Assessed at 3-month survey
|
3-months following enrollment
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Anjali Gopalan, MD, MS, Kaiser Permanente
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008 Oct 9;359(15):1577-89. doi: 10.1056/NEJMoa0806470. Epub 2008 Sep 10.
- Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009 Aug 7;4:50. doi: 10.1186/1748-5908-4-50.
- The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the diabetes control and complications trial. Diabetes. 1995 Aug;44(8):968-83.
- White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011 Feb 20;30(4):377-99. doi: 10.1002/sim.4067. Epub 2010 Nov 30.
- Molyneaux LM, Constantino MI, McGill M, Zilkens R, Yue DK. Better glycaemic control and risk reduction of diabetic complications in Type 2 diabetes: comparison with the DCCT. Diabetes Res Clin Pract. 1998 Nov;42(2):77-83. doi: 10.1016/s0168-8227(98)00095-3.
- Kvedar J, Coye MJ, Everett W. Connected health: a review of technologies and strategies to improve patient care with telemedicine and telehealth. Health Aff (Millwood). 2014 Feb;33(2):194-9. doi: 10.1377/hlthaff.2013.0992.
- Campbell MK, Piaggio G, Elbourne DR, Altman DG; CONSORT Group. Consort 2010 statement: extension to cluster randomised trials. BMJ. 2012 Sep 4;345:e5661. doi: 10.1136/bmj.e5661. No abstract available.
- Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998 Aug-Sep;1(1):2-4. No abstract available.
- American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021 Jan;44(Suppl 1):S15-S33. doi: 10.2337/dc21-S002. Erratum In: Diabetes Care. 2021 Sep;44(9):2182.
- American Diabetes Association. 1. Improving Care and Promoting Health in Populations: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021 Jan;44(Suppl 1):S7-S14. doi: 10.2337/dc21-S001.
- Pandit AU, Bailey SC, Curtis LM, Seligman HK, Davis TC, Parker RM, Schillinger D, DeWalt D, Fleming D, Mohr DC, Wolf MS. Disease-related distress, self-care and clinical outcomes among low-income patients with diabetes. J Epidemiol Community Health. 2014 Jun;68(6):557-64. doi: 10.1136/jech-2013-203063. Epub 2014 Jan 31.
- Palmas W, March D, Darakjy S, Findley SE, Teresi J, Carrasquillo O, Luchsinger JA. Community Health Worker Interventions to Improve Glycemic Control in People with Diabetes: A Systematic Review and Meta-Analysis. J Gen Intern Med. 2015 Jul;30(7):1004-12. doi: 10.1007/s11606-015-3247-0. Epub 2015 Mar 4.
- Wan EYF, Fung CSC, Jiao FF, Yu EYT, Chin WY, Fong DYT, Wong CKH, Chan AKC, Chan KHY, Kwok RLP, Lam CLK. Five-Year Effectiveness of the Multidisciplinary Risk Assessment and Management Programme-Diabetes Mellitus (RAMP-DM) on Diabetes-Related Complications and Health Service Uses-A Population-Based and Propensity-Matched Cohort Study. Diabetes Care. 2018 Jan;41(1):49-59. doi: 10.2337/dc17-0426. Epub 2017 Nov 14.
- Wilmot E, Idris I. Early onset type 2 diabetes: risk factors, clinical impact and management. Ther Adv Chronic Dis. 2014 Nov;5(6):234-44. doi: 10.1177/2040622314548679.
- Gopalan A, Mishra P, Alexeeff SE, Blatchins MA, Kim E, Man A, Karter AJ, Grant RW. Initial Glycemic Control and Care Among Younger Adults Diagnosed With Type 2 Diabetes. Diabetes Care. 2020 May;43(5):975-981. doi: 10.2337/dc19-1380. Epub 2020 Mar 4.
- Laiteerapong N, Ham SA, Gao Y, Moffet HH, Liu JY, Huang ES, Karter AJ. The Legacy Effect in Type 2 Diabetes: Impact of Early Glycemic Control on Future Complications (The Diabetes & Aging Study). Diabetes Care. 2019 Mar;42(3):416-426. doi: 10.2337/dc17-1144. Epub 2018 Aug 13.
- Hildebrand JA, Billimek J, Lee JA, Sorkin DH, Olshansky EF, Clancy SL, Evangelista LS. Effect of diabetes self-management education on glycemic control in Latino adults with type 2 diabetes: A systematic review and meta-analysis. Patient Educ Couns. 2020 Feb;103(2):266-275. doi: 10.1016/j.pec.2019.09.009. Epub 2019 Sep 9.
- Flores-Luevano S, Pacheco M, Shokar GS, Dwivedi AK, Shokar NK. Impact of a Culturally Tailored Diabetes Education and Empowerment Program in a Mexican American Population Along the US/Mexico Border: A Pragmatic Study. J Clin Med Res. 2020 Aug;12(8):517-529. doi: 10.14740/jocmr4273. Epub 2020 Jul 22.
- Rosal MC, Ockene IS, Restrepo A, White MJ, Borg A, Olendzki B, Scavron J, Candib L, Welch G, Reed G. Randomized trial of a literacy-sensitive, culturally tailored diabetes self-management intervention for low-income latinos: latinos en control. Diabetes Care. 2011 Apr;34(4):838-44. doi: 10.2337/dc10-1981. Epub 2011 Mar 4.
- Islam NS, Wyatt LC, Taher MD, Riley L, Tandon SD, Tanner M, Mukherji BR, Trinh-Shevrin C. A Culturally Tailored Community Health Worker Intervention Leads to Improvement in Patient-Centered Outcomes for Immigrant Patients With Type 2 Diabetes. Clin Diabetes. 2018 Apr;36(2):100-111. doi: 10.2337/cd17-0068.
- Spencer MS, Gunter KE, Palmisano G. Community health workers and their value to social work. Soc Work. 2010 Apr;55(2):169-80. doi: 10.1093/sw/55.2.169.
- Hartzler AL, Tuzzio L, Hsu C, Wagner EH. Roles and Functions of Community Health Workers in Primary Care. Ann Fam Med. 2018 May;16(3):240-245. doi: 10.1370/afm.2208.
- Adair R, Wholey DR, Christianson J, White KM, Britt H, Lee S. Improving chronic disease care by adding laypersons to the primary care team: a parallel randomized trial. Ann Intern Med. 2013 Aug 6;159(3):176-84. doi: 10.7326/0003-4819-159-3-201308060-00007.
- Ray KN, Chari AV, Engberg J, Bertolet M, Mehrotra A. Disparities in Time Spent Seeking Medical Care in the United States. JAMA Intern Med. 2015 Dec;175(12):1983-6. doi: 10.1001/jamainternmed.2015.4468. No abstract available.
- Reed ME, Huang J, Parikh R, Millman A, Ballard DW, Barr I, Wargon C. Patient-Provider Video Telemedicine Integrated With Clinical Care: Patient Experiences. Ann Intern Med. 2019 Aug 6;171(3):222-224. doi: 10.7326/M18-3081. Epub 2019 Apr 30. No abstract available.
- Gopalan A, Blatchins MA, Altschuler A, Mishra P, Fakhouri I, Grant RW. Disclosure of New Type 2 Diabetes Diagnoses to Younger Adults: a Qualitative Study. J Gen Intern Med. 2021 Jun;36(6):1622-1628. doi: 10.1007/s11606-020-06481-y. Epub 2021 Jan 26.
- Klompas M, Eggleston E, McVetta J, Lazarus R, Li L, Platt R. Automated detection and classification of type 1 versus type 2 diabetes using electronic health record data. Diabetes Care. 2013 Apr;36(4):914-21. doi: 10.2337/dc12-0964. Epub 2012 Nov 27.
- Makam AN, Nguyen OK, Moore B, Ma Y, Amarasingham R. Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm. BMC Med Inform Decis Mak. 2013 Aug 1;13:81. doi: 10.1186/1472-6947-13-81.
- Ratanawongsa N, Karter AJ, Parker MM, Lyles CR, Heisler M, Moffet HH, Adler N, Warton EM, Schillinger D. Communication and medication refill adherence: the Diabetes Study of Northern California. JAMA Intern Med. 2013 Feb 11;173(3):210-8. doi: 10.1001/jamainternmed.2013.1216. Erratum In: JAMA Intern Med. 2013 May 13;173(9):731.
- Rubin DB, Schenker N. Multiple imputation in health-care databases: an overview and some applications. Stat Med. 1991 Apr;10(4):585-98. doi: 10.1002/sim.4780100410.
- Barbosa CE, Masho SW, Carlyle KE, Mosavel M. Factors Distinguishing Positive Deviance Among Low-Income African American Women: A Qualitative Study on Infant Feeding. J Hum Lact. 2017 May;33(2):368-378. doi: 10.1177/0890334416673048. Epub 2016 Nov 24.
- Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006;3(2):77-101. DOI: 10.1191/1478088706qp063oa.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
March 31, 2023
Primary Completion (Estimated)
April 1, 2025
Study Completion (Estimated)
December 1, 2025
Study Registration Dates
First Submitted
February 23, 2023
First Submitted That Met QC Criteria
February 23, 2023
First Posted (Actual)
March 3, 2023
Study Record Updates
Last Update Posted (Actual)
May 3, 2024
Last Update Submitted That Met QC Criteria
May 2, 2024
Last Verified
May 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1833646
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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