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NCT03393338: DM I-TEAM
Diabetes Interprofessional Team to Enhance Adherence to Medical Care
NA trial testing DM I-TEAM in Diabetes in 200 participants. Completed in 31 December 2021.
31 December 2021
Quick facts
| Lead sponsor | Thomas Jefferson University |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | double |
| Primary purpose | prevention |
| Enrollment | 200 |
| Start date | 1 January 2017 |
| Primary completion | 31 December 2021 |
| Estimated completion | 31 December 2021 |
| Sites | 1 location across United States |
Drugs / interventions tested
- DM I-TEAM
Conditions studied
- Diabetes — all drugs for Diabetes →
Sponsor
Thomas Jefferson University
Who can join
35 and older, any sex, with Diabetes. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The overall goal of this randomized controlled trial is to test the efficacy of DM I-TEAM (Diabetes Interprofessional Team to Enhance Adherence to Medical Care) to reduce emergency department (ED) visits and hospitalizations over 12 months in older African Americans (AAs) with diabetes mellitus (DM). DM I-TEAM is a multidisciplinary behavioral intervention that comprises a community health worker (CHW), the participant's primary care physician (PCP), a diabetes nurse educator, and a clinical geriatric pharmacist. In DM I-TEAM, the CHW conducts in-home sessions to: (1) provide diabetes education, (2) facilitate adherence to diabetes self-management behaviors (e.g., medication adherence glucose monitoring, diet, exercise); and (3) build trust between patients and their primary care team. This is accomplished by: (1) using culturally relevant diabetes educational materials; (2) facilitating telehealth visits with the participant's PCP and the diabetes nurse educator via JeffConnect; and (3) having the study pharmacist review participants' medication regimens to identify potentially inappropriate medications, simplify medication regimens if possible, and to reduce medication side effects.
Publications & conference data
4 peer-reviewed publications reference this trial (live from Europe PMC):
-
Mistrust, Neighborhood Deprivation, and Telehealth Use in African Americans with Diabetes.
Rovner BW, Casten RJ, Chang AM, Hollander JE, et al · · 2021 · cited 19× · PMID 34000211 · DOI 10.1089/pop.2021.0094 -
Emergency department visits in African Americans with mild cognitive impairment and diabetes.
Rovner BW, Casten RJ. · · 2021 · cited 5× · PMID 33752964 · DOI 10.1016/j.jdiacomp.2021.107905 -
Interprofessional Intervention to Reduce Emergency Department Visits in Black Individuals with Diabetes.
Rovner BW, Casten R, Chang AM, Hollander JE, et al · · 2023 · cited 4× · PMID 36745390 · DOI 10.1089/pop.2022.0216 -
Emergency Department Use in Black Individuals With Diabetes.
Rovner B, Casten R, Nightingale G, Leiby BE, et al · · 2023 · PMID 37982058 · DOI 10.2337/ds22-0091
Verify or expand the search:
- PubMed search for NCT03393338
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03393338 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Thomas Jefferson University
- Last refreshed: 19 October 2022
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03393338.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing