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Not yet recruitingNCT07878806FUERTEUpdated Oct 16, 2026

Piloting FUERTE: Federally qUalified Health Centers Engaging Hispanic Men at Risk of diabeTEs

An interventional study of FUERTE Arm and Standard care in Prediabetes, sponsored by Weill Medical College of Cornell University. Not yet recruiting at 1 site in United States. Open to male participants aged 18 Years to 99 Years. Per ClinicalTrials.gov, last updated 2026-10-16.

Sponsored by Weill Medical College of Cornell University · Not applicable, Interventional, and Health services research

Updated Oct 16, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
50
Allocation
Non-randomized
Ages
18 Years to 99 Years
Sex
Male
01

Study summary

The goal of this study is to learn whether FUERTE (Federally qUalified Health Centers Engaging Hispanic Men at Risk of diabeTEs) can facilitate referrals of Hispanic men with prediabetes to the Diabetes Prevention Program (DPP) and support their continued engagement in the program.

The main questions it aims to answer are:

Does implementation of the FUERTE strategy increase the number of DPP-eligible Hispanic men who are referred to and enrolled in the DPP? Does implementation of the FUERTE strategy improve engagement in the DPP and result in greater improvements in weight and hemoglobin A1C among Hispanic men participating in the program?

FUERTE consists of three components:

  1. Information sessions for healthcare providers to increase awareness of the DPP.
  2. Text messages sent to DPP-eligible Hispanic men reminding them of appointments and encouraging discussions about prediabetes with healthcare providers.
  3. Interactive WhatsApp group messages for Hispanic men referred to the DPP, providing tailored content and discussion prompts related to each core DPP session.

Participants will:

  • Complete a survey before enrolling in the DPP.
  • Complete a survey after completing the DPP.
  • Those participating post-implementation of FUERTE will (1) receive text-messages, reminding them of their appointments and encouraging discussions about prediabetes with providers, and (2) receive interactive group-messages, delivered through WhatsApp, to supplement the standard of care DPP with tailored topics and prompts.
Read the detailed description

The goal of this single-site pilot implementation trial is to learn if FUERTE (Federally qUalified Health Centers Engaging Hispanic Men at Risk of diabeTEs), a multi-component implementation strategy for Federally Qualified Health Centers, can feasibly facilitate referrals of Hispanic men with prediabetes to the Diabetes Prevention Program (DPP) and support their continued engagement in the program. FUERTE consists of 3 components: Component 1, information sessions to providers, to increase awareness of the DPP; Component 2, text-messages, delivered through existing appointment notification systems, sent to DPP-eligible Hispanic men, to remind them of their appointments and encourage discussions about prediabetes with providers; and Component 3, interactive group-messages, delivered through WhatsApp, to Hispanic men referred to the DPP, to supplement standard of care (i.e. standard DPP) with tailored topics and prompts relating to each core session of the DPP.

The main questions it aims to answer is whether:

Primary Hypothesis: FUERTE increases the proportion of DPP-eligible Hispanic men seen by a provider who are (1) referred to a Nutritionist for management of prediabetes, and (2) enrolled in a DPP.

Secondary Hypothesis: FUERTE increases (1) the proportion of providers referring DPP-eligible men for prediabetes management, and (2) the mean number of weeks Hispanic men attend the core component of the DPP.

Researchers will compare the results of participants seen by providers post-implementation of FUERTE with those seen pre-implementation of FUERTE.

Participants will:

Complete a survey before enrolling in the DPP, and after completing the program.

Those participating post-implementation of FUERTE will (1) receive text-messages, delivered through existing appointment notification systems, reminding them of their appointments and encouraging discussions about prediabetes with providers, and (2) receive interactive group-messages, delivered through WhatsApp, to supplement standard of care (i.e. standard DPP) with tailored topics and prompts relating to each core session of the DPP.

02

Conditions studied

  • Prediabetes

Browse trials for

Keywords

  • Diabetes Prevention Program
  • implementation
  • Federally Qualified Health Center
03

In context

Prediabetic State

1,021 studies on the registry are indexed under Prediabetic State; 242 are open to participants now.

This study's planned enrollment of 50 is below the median of 66 across 861 interventional studies indexed under Prediabetic State.

Browse Prediabetic State studies →

Lead sponsor

Weill Medical College of Cornell University is the lead sponsor of 890 studies on the registry; 164 are open to participants now.

Of its 123 completed or terminated interventional studies of FDA-regulated products, 94 (76%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 99 Years
Sexes eligible
Male
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Self-reported Hispanic ethnicity and men
  • At least 18 years old
  • Have a body mass index (BMI) =>25 kg/m2
  • Have a documented HbA1c of 5.7%-6.4% within one year

Exclusion criteria

Exclusion Criteria:

  • Life expectancy \<12 months
  • not planning to stay in the geographic area for at least 6 months
  • diabetes based on an ICD-10 code in the previous 3 years
  • does not speak English or Spanish
  • present with a condition or abnormality (e.g., significant neurocognitive dysfunction) that in the opinion of the Investigator would compromise the ability of the patient to provide informed consent for the study activities, or the quality of the data
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Non-randomized
Intervention model
Sequential assignment
Masking
None (open label)
Enrollment
50 participants (estimated)

Study arms

  • Experimental
    FUERTE Arm

    Outside of this study, as part of their standard care, all participants will receive the Diabetes Prevention Program (DPP) and visits with the nutritionist at their site. Participants in this arm of the study will complete a survey before enrolling in the DPP, and after completing the program. Participants will receive interactive group-messages, delivered through WhatsApp, to supplement standard of care (i.e. standard DPP) with tailored topics and prompts relating to each core session of the DPP.

    Behavioral: FUERTE Arm · Behavioral: Standard care

  • Active comparator
    Standard Care

    Outside of this study, as part of their standard care, all participants will receive the Diabetes Prevention Program (DPP) and visits with the nutritionist at their site. Participants in this arm of the study will complete a survey before enrolling in the DPP, and after completing the program.

    Behavioral: Standard care

  • Other
    Referring Providers

    Other: No Intervention

Interventions

  • BehavioralFUERTE Arm

    Participants will complete a survey before enrolling in the Diabetes Prevention Program (DPP), and after completing the program. Participants will receive interactive group-messages, delivered through WhatsApp, to supplement standard of care (i.e. standard DPP) with tailored topics and prompts relating to each core session of the DPP.

  • BehavioralStandard care

    Participants will complete a survey before enrolling in the Diabetes Prevention Program (DPP), and after completing the program.

  • OtherNo Intervention

    Referring Providers are assessed Pre and Post Implementation for the proportion of Providers seeing Diabetes Prevention Program (DPP) eligible men who then referred eligible men for Prediabetes Management.

06

What researchers measure

Primary outcomes

  1. The proportion of Diabetes Prevention Program-eligible Hispanic men seen by a provider and referred to a Nutritionist for management of prediabetes

    Time frame: 1 year

  2. DPP Enrollment: The proportion of eligible Hispanic men enrolled in the Diabetes Prevention Program

    Time frame: 1 year

Secondary outcomes

  1. Mean number of weeks attending the Core Component of the Diabetes Prevention Program, out of 16 possible

    Time frame: 6 months

  2. Mean change in weight (kg) from baseline at 6 months

    Time frame: Baseline, 6 months

  3. Mean change in A1C (%) from baseline at 6 months

    Time frame: Baseline, 6 months

  4. Referring Providers: The proportion of Providers referring eligible Hispanic men to the Diabetes Prevention Program

    Time frame: 1 year

  5. Referring Providers: The number of referrals placed by a Provider

    Time frame: 1 year

07

Study locations

1 site
  • Weill Cornell Medicine
    New York, New York 10065, United States
    • Christopher J Gonzalez, MD MS · Contact · cjg7003@med.cornell.edu · 646-962-5914
    • Christopher J Gonzalez, MD MS · Principal investigator
08

References and documents

Publications

  • Zhu Y, Sidell MA, Arterburn D, Daley MF, Desai J, Fitzpatrick SL, Horberg MA, Koebnick C, McCormick E, Oshiro C, Young DR, Ferrara A. Racial/Ethnic Disparities in the Prevalence of Diabetes and Prediabetes by BMI: Patient Outcomes Research To Advance Learning (PORTAL) Multisite Cohort of Adults in the U.S. Diabetes Care. 2019 Dec;42(12):2211-2219. doi: 10.2337/dc19-0532. Epub 2019 Sep 19. PubMed 31537541 ↗
  • Diabetes Prevention Program Research Group. Long-term effects of lifestyle intervention or metformin on diabetes development and microvascular complications over 15-year follow-up: the Diabetes Prevention Program Outcomes Study. Lancet Diabetes Endocrinol. 2015 Nov;3(11):866-75. doi: 10.1016/S2213-8587(15)00291-0. Epub 2015 Sep 13. PubMed 26377054 ↗
  • Ely EK, Gruss SM, Luman ET, Gregg EW, Ali MK, Nhim K, Rolka DB, Albright AL. A National Effort to Prevent Type 2 Diabetes: Participant-Level Evaluation of CDC's National Diabetes Prevention Program. Diabetes Care. 2017 Oct;40(10):1331-1341. doi: 10.2337/dc16-2099. Epub 2017 May 12. PubMed 28500215 ↗
  • Jackson MC, Dai S, Skeete RA, Owens-Gary M, Cannon MJ, Smith BD, Jabrah R, Masalovich SE, Soler RE. An Examination of Gender Differences in the National Diabetes Prevention Program's Lifestyle Change Program. Diabetes Educ. 2020 Dec;46(6):580-586. doi: 10.1177/0145721720964585. Epub 2020 Oct 16. PubMed 33063641 ↗
  • Cannon MJ, Masalovich S, Ng BP, Soler RE, Jabrah R, Ely EK, Smith BD. Retention Among Participants in the National Diabetes Prevention Program Lifestyle Change Program, 2012-2017. Diabetes Care. 2020 Sep;43(9):2042-2049. doi: 10.2337/dc19-2366. Epub 2020 Jul 2. PubMed 32616617 ↗
  • Venkataramani M, Pollack CE, Yeh HC, Maruthur NM. Prevalence and Correlates of Diabetes Prevention Program Referral and Participation. Am J Prev Med. 2019 Mar;56(3):452-457. doi: 10.1016/j.amepre.2018.10.005. Epub 2019 Jan 17. PubMed 30661888 ↗
  • Ali MK, McKeever Bullard K, Imperatore G, Benoit SR, Rolka DB, Albright AL, Gregg EW. Reach and Use of Diabetes Prevention Services in the United States, 2016-2017. JAMA Netw Open. 2019 May 3;2(5):e193160. doi: 10.1001/jamanetworkopen.2019.3160. PubMed 31074808 ↗
  • Toro-Ramos T, Michaelides A, Anton M, Karim Z, Kang-Oh L, Argyrou C, Loukaidou E, Charitou MM, Sze W, Miller JD. Mobile Delivery of the Diabetes Prevention Program in People With Prediabetes: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2020 Jul 8;8(7):e17842. doi: 10.2196/17842. PubMed 32459631 ↗
  • Katula JA, Dressler EV, Kittel CA, Harvin LN, Almeida FA, Wilson KE, Michaud TL, Porter GC, Brito FA, Goessl CL, Jasik CB, Sweet CMC, Schwab R, Estabrooks PA. Effects of a Digital Diabetes Prevention Program: An RCT. Am J Prev Med. 2022 Apr;62(4):567-577. doi: 10.1016/j.amepre.2021.10.023. Epub 2022 Feb 10. PubMed 35151522 ↗
  • Joiner KL, Nam S, Whittemore R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: A systematic review and meta-analysis. Prev Med. 2017 Jul;100:194-207. doi: 10.1016/j.ypmed.2017.04.033. Epub 2017 Apr 27. PubMed 28456513 ↗
  • Grock S, Ku JH, Kim J, Moin T. A Review of Technology-Assisted Interventions for Diabetes Prevention. Curr Diab Rep. 2017 Sep 23;17(11):107. doi: 10.1007/s11892-017-0948-2. PubMed 28942537 ↗
  • Bian RR, Piatt GA, Sen A, Plegue MA, De Michele ML, Hafez D, Czuhajewski CM, Buis LR, Kaufman N, Richardson CR. The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis. J Med Internet Res. 2017 Mar 27;19(3):e76. doi: 10.2196/jmir.4709. PubMed 28347972 ↗
  • Fischer HH, Fischer IP, Pereira RI, Furniss AL, Rozwadowski JM, Moore SL, Durfee MJ, Raghunath SG, Tsai AG, Havranek EP. Text Message Support for Weight Loss in Patients With Prediabetes: A Randomized Clinical Trial. Diabetes Care. 2016 Aug;39(8):1364-70. doi: 10.2337/dc15-2137. Epub 2016 Feb 9. PubMed 26861922 ↗
  • Formagini T, Gonzalez CJ, Dias J, Arredondo EM, Hekler E, O'Brien MJ. Advancing Type 2 Diabetes Prevention through Text-Messaging Interventions: A Narrative Review. Curr Diab Rep. 2024 Dec 4;25(1):9. doi: 10.1007/s11892-024-01568-w. PubMed 39630283 ↗
  • O'Brien MJ, Vargas MC, Lopez A, Feliciano Y, Gregory DL, Carcamo P, Mohr L, Mohanty N, Padilla R, Ackermann RT, Persell SD, Feinglass J. Development of a novel clinical decision support tool for diabetes prevention and feasibility of its implementation in primary care. Prev Med Rep. 2022 Sep 7;29:101979. doi: 10.1016/j.pmedr.2022.101979. eCollection 2022 Oct. PubMed 36161117 ↗
  • Chambers EC, Rehm CD, Correra J, Garcia LE, Marquez ME, Wylie-Rosett J, Parsons A. Factors in Placement and Enrollment of Primary Care Patients in YMCA's Diabetes Prevention Program, Bronx, New York, 2010-2015. Prev Chronic Dis. 2017 Mar 30;14:E28. doi: 10.5888/pcd14.160486. PubMed 28358669 ↗
  • Chambers EC, Wylie-Rosett J, Blank AE, Ouziel J, Hollingsworth N, Riley RW, Selwyn PA. Increasing Referrals to a YMCA-Based Diabetes Prevention Program: Effects of Electronic Referral System Modification and Provider Education in Federally Qualified Health Centers. Prev Chronic Dis. 2015 Nov 5;12:E189. doi: 10.5888/pcd12.150294. PubMed 26542141 ↗
  • Walker AF, Addala A, Sheehan E, Lal R, Haller M, Cuttriss N, Filipp S, Baer L, Gurka M, Bernier A, Figg L, Westen S, Hood K, Anez-Zabala C, Frank E, Roque X, Maizel J, Maahs D. Using Peer Power to Reduce Health Disparities: Implementation of a Diabetes Support Coach Program in Federally Qualified Health Centers. Diabetes Spectr. 2022 Summer;35(3):295-303. doi: 10.2337/dsi22-0004. Epub 2022 Aug 15. PubMed 36082018 ↗
  • Philis-Tsimikas A, Fortmann A, Lleva-Ocana L, Walker C, Gallo LC. Peer-led diabetes education programs in high-risk Mexican Americans improve glycemic control compared with standard approaches: a Project Dulce promotora randomized trial. Diabetes Care. 2011 Sep;34(9):1926-31. doi: 10.2337/dc10-2081. Epub 2011 Jul 20. PubMed 21775748 ↗
  • Miller HN, Berger MB, Askew S, Kay MC, Chisholm M, Sirdeshmukh G, Hopkins CM, Brewer A, DeVries A, Holder M, Bennett GG. Recruitment of diverse community health center patients in a pragmatic weight gain prevention trial. J Clin Transl Sci. 2022 Oct 10;7(1):e22. doi: 10.1017/cts.2022.475. eCollection 2023. PubMed 36755547 ↗
  • US Preventive Services Task Force; Davidson KW, Barry MJ, Mangione CM, Cabana M, Caughey AB, Davis EM, Donahue KE, Doubeni CA, Krist AH, Kubik M, Li L, Ogedegbe G, Owens DK, Pbert L, Silverstein M, Stevermer J, Tseng CW, Wong JB. Screening for Prediabetes and Type 2 Diabetes: US Preventive Services Task Force Recommendation Statement. JAMA. 2021 Aug 24;326(8):736-743. doi: 10.1001/jama.2021.12531. PubMed 34427594 ↗
  • American Diabetes Association. 3. Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021 Jan;44(Suppl 1):S34-S39. doi: 10.2337/dc21-S003. PubMed 33298414 ↗
  • Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002 Feb 7;346(6):393-403. doi: 10.1056/NEJMoa012512. PubMed 11832527 ↗
  • Cheng YJ, Kanaya AM, Araneta MRG, Saydah SH, Kahn HS, Gregg EW, Fujimoto WY, Imperatore G. Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016. JAMA. 2019 Dec 24;322(24):2389-2398. doi: 10.1001/jama.2019.19365. PubMed 31860047 ↗

Individual participant data

Plan to share: Yes — All of the individual participant data collected during the trial, after deidentification.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form, Clinical study report, Analytic code

Time frame: Immediately following publication. No end date.

Access criteria: Anyone who wishes to access the data.

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Oct 2026; primary completion for Dec 2028, 26 months later.

Of 415 non-industry interventional studies with no phase under Prediabetic State, half reached primary completion within 26 months of starting (the median), counting those still running; a quarter within 11 and three quarters within 41. This study's planned 26 months is close to that.

Counting every sponsor, half of 466 studies reached it within 24 months; a quarter within 11 and three quarters within 39.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 6, 2026
First posted
Oct 16, 2026
StartEst.
Oct 2026
Primary completionEst.
Dec 2028
CompletionEst.
Dec 2029
Last update
Oct 16, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Oct 16, 2026
Show all 1 update
  1. Oct 16, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07878806
Responsible party
Sponsor
First posted
Oct 16, 2026
Start date
Oct 2026 (estimated)
Primary completion
Dec 2028 (estimated)
Completion
Dec 2029 (estimated)
Last update
Oct 16, 2026

Study contacts

Christopher J Gonzalez, MD MS
Contact
cjg7003@med.cornell.edu
646-962-5914
Christopher J Gonzalez, MD MS
principal investigator · Weill Medical College of Cornell University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.

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