Barriers to Screening: An Analysis of Factors Impacting Screening for Type 1 Diabetes Prevention Trials

Author:

Kinney Mara1ORCID,You Lu2,Sims Emily K3,Wherrett Diane4,Schatz Desmond5,Lord Sandra6,Krischer Jeffrey2,Russell William E7,Gottlieb Peter A1,Libman Ingrid8,Buckner Jane6ORCID,DiMeglio Linda A3,Herold Kevan C9,Steck Andrea K1ORCID

Affiliation:

1. Barbara Davis Center for Diabetes, University of Colorado School of Medicine , Aurora, CO 80045 , USA

2. Health Informatics Institute, University of South Florida , Tampa, FL 33620 , USA

3. Department of Pediatrics, Indiana University School of Medicine , Indianapolis, IN 46202 , USA

4. Department of Paediatrics, The Hospital for Sick Children, University of Toronto , Toronto M5G 1X8 , Canada

5. Department of Pediatrics, University of Florida , Gainesville, FL 32611 , USA

6. Diabetes Research Program, Benaroya Research Institute , Seattle, WA 98101 , USA

7. Vanderbilt University Medical Center , Nashville, TN 37232 , USA

8. Division of Endocrinology, Diabetes and Metabolism, University of Pittsburgh and UPMC Children's Hospital of Pittsburgh , Pittsburgh, PA 15213 , USA

9. Departments of Immunobiology and Internal Medicine, Yale University School of Medicine , New Haven, CT 06520 , USA

Abstract

Abstract Context Participants with stage 1 or 2 type 1 diabetes (T1D) qualify for prevention trials, but factors involved in screening for such trials are largely unknown. Objective To identify factors associated with screening for T1D prevention trials. Methods This study included TrialNet Pathway to Prevention participants who were eligible for a prevention trial: oral insulin (TN-07, TN-20), teplizumab (TN-10), abatacept (TN-18), and oral hydroxychloroquine (TN-22). Univariate and multivariate logistic regression models were used to examine participant, site, and study factors at the time of prevention trial accrual. Results Screening rates for trials were: 50% for TN-07 (584 screened/1172 eligible), 9% for TN-10 (106/1249), 24% for TN-18 (313/1285), 17% for TN-20 (113/667), and 28% for TN-22 (371/1336). Younger age and male sex were associated with higher screening rates for prevention trials overall and for oral therapies. Participants with an offspring with T1D showed lower rates of screening for all trials and oral drug trials compared with participants with other first-degree relatives as probands. Site factors, including larger monitoring volume and US site vs international site, were associated with higher prevention trial screening rates. Conclusions Clear differences exist between participants who screen for prevention trials and those who do not screen and between the research sites involved in prevention trial screening. Participant age, sex, and relationship to proband are significantly associated with prevention trial screening in addition to key site factors. Identifying these factors can facilitate strategic recruitment planning to support rapid and successful enrollment into prevention trials.

Funder

NIH/NCATS Colorado CTSI

Publisher

The Endocrine Society

Subject

Endocrinology, Diabetes and Metabolism

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