Implementation and Evaluation of a Best Practice Advisory to Reduce Inequities in Technology Use for People With Type 1 Diabetes: Protocol for a Mixed Methods, Nonrandomized Controlled Trial.
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| Title: | Implementation and Evaluation of a Best Practice Advisory to Reduce Inequities in Technology Use for People With Type 1 Diabetes: Protocol for a Mixed Methods, Nonrandomized Controlled Trial. |
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| Authors: | Mathioudakis N; Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States., Wolf R; Division of Pediatric Endocrinology, Department of Pediatrics, Johns Hopkins University, Baltimore, MD, United States., Choudhary A; Division of Endocrinology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, United States., Davis G; Division of Endocrinology, Metabolism & Lipids, Department of Medicine, Emory University, Grady Memorial Hospital, Atlanta, GA, United States., Gallagher MP; NYU Langone Health, New York, NY, United States., Gupta M; Seattle Children's Hospital, Seattle, WA, United States., Kamboj M; Division of Endocrinology, Department of Pediatrics at the Ohio State University, Nationwide Children's Hospital, Columbus, OH, United States., Rioles N; T1D Exchange, Boston, MA, United States., Ospelt E; T1D Exchange, Boston, MA, United States., Thapa S; T1D Exchange, Boston, MA, United States., Weinstock RS; SUNY Upstate Medical University, Syracuse, NY, United States., Wright T; T1D Exchange, Boston, MA, United States., Ebekozien O; T1D Exchange, Boston, MA, United States. |
| Source: | JMIR research protocols [JMIR Res Protoc] 2025 May 28; Vol. 14, pp. e71038. Date of Electronic Publication: 2025 May 28. |
| Publication Type: | Journal Article; Clinical Trial Protocol |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101599504 Publication Model: Electronic Cited Medium: Internet ISSN: 1929-0748 (Electronic) Linking ISSN: 19290748 NLM ISO Abbreviation: JMIR Res Protoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1929-0748 |
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| DOI: | 10.2196/71038 |
