Academic Journal
Remote Glucose Monitoring Engagement and Glycemic Control in Type 2 Diabetes and Prediabetes: Retrospective Cohort Study.
| Τίτλος: | Remote Glucose Monitoring Engagement and Glycemic Control in Type 2 Diabetes and Prediabetes: Retrospective Cohort Study. |
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| Συγγραφείς: | Huang Y; Department of Computer Science, Donald Bren School of Information and Computer Sciences, University of California, Irvine, 3211 Donald Bren Hall, Irvine, CA, 92617, United States, 1 8588881526., Nagesh N; Department of Computer Science, Donald Bren School of Information and Computer Sciences, University of California, Irvine, 3211 Donald Bren Hall, Irvine, CA, 92617, United States, 1 8588881526., Subramanian A; Department of Computer Science, Donald Bren School of Information and Computer Sciences, University of California, Irvine, 3211 Donald Bren Hall, Irvine, CA, 92617, United States, 1 8588881526., Wang L; Unika Health, Sunnyvale, CA, United States., Liu Z; Unika Health, Sunnyvale, CA, United States., Sun Y; Unika Health, Sunnyvale, CA, United States., Hou W; Unika Health, Sunnyvale, CA, United States., Azimi I; Department of Computer Science, Donald Bren School of Information and Computer Sciences, University of California, Irvine, 3211 Donald Bren Hall, Irvine, CA, 92617, United States, 1 8588881526., Rahmani AM; Department of Computer Science, Donald Bren School of Information and Computer Sciences, University of California, Irvine, 3211 Donald Bren Hall, Irvine, CA, 92617, United States, 1 8588881526.; Nhu Department of Electrical Engineering and Computer Science, The Henry Samueli School of Engineering, University of California, Irvine, Irvine, CA, United States.; Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, United States., Stafford RS; Stanford University, Palo Alto, CA, United States. |
| Πηγή: | JMIR formative research [JMIR Form Res] 2026 Sep 30; Vol. 10, pp. e95679. Date of Electronic Publication: 2026 Sep 30. |
| Τύπος έκδοσης: | Journal Article; Research Support, Non-U.S. Gov't |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Toronto, ON, Canada : JMIR Publications, [2017]- |
| Ιατρικοί όροι (MeSH): | Diabetes Mellitus, Type 2*/blood , Diabetes Mellitus, Type 2*/therapy , Glycemic Control*/methods , Glycemic Control*/statistics & numerical data , Glycemic Control*/standards , Prediabetic State*/blood , Prediabetic State*/therapy , Blood Glucose Self-Monitoring*/methods , Blood Glucose Self-Monitoring*/statistics & numerical data , Patient Participation*/statistics & numerical data, Glycated Hemoglobin/analysis ; Blood Glucose/analysis ; Humans ; Retrospective Studies ; Female ; Male ; Middle Aged ; Aged ; Remote Patient Monitoring ; Cohort Studies ; Adult |
| Περίληψη: | Background: Suboptimal glycemic control remains a significant public health challenge among adults with type 2 diabetes and prediabetes, with 47.4% of US adults with diagnosed diabetes having hemoglobin A Objective: This study aimed to estimate the causal dose-response relationship between patient engagement, operationalized as weekly glucose monitoring frequency, and glycemic control measured by HbA Methods: We conducted a retrospective cohort study of 1436 adults with type 2 diabetes or prediabetes enrolled in the Unika Health program between 2019 and 2024. The program integrated Bluetooth-connected glucose meters, a mobile app, structured lifestyle coaching, and primary care coordination across 74 physician practices. Engagement was defined as mean weekly glucose monitoring frequency during the first 6 months. The causal effect of monitoring frequency on 6-month HbA Results: The cohort was predominantly older (95.4%, 1370/1436 aged ≥46 years), with 82.6% (1186/1436) having hypertension and 45.9% (659/1436) classified as obese. Overall, HbA Conclusions: Higher engagement with a digitally enabled, primary care-integrated remote glucose monitoring program was causally associated with significantly greater HbA (© Yong Huang, Nitish Nagesh, Ajan Subramanian, Li Wang, Zhiyu Liu, Yichen Sun, Weiyi Hou, Iman Azimi, Amir M Rahmani, Randall S Stafford. Originally published in JMIR Formative Research (https://formative.jmir.org).) |
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| Contributed Indexing: | Keywords: causal inference; digital health; glucose monitoring; glycemic control; marginal structural models; patient-centered care; prediabetic state; remote patient monitoring; type 2 diabetes mellitus |
| Substance Nomenclature: | 0 (Glycated Hemoglobin) 0 (Blood Glucose) |
| Entry Date(s): | Date Created: 20260930 Date Completed: 20260930 Latest Revision: 20261007 |
| Update Code: | 20261007 |
| PubMed Central ID: | PMC13626191 |
| DOI: | 10.2196/95679 |
| PMID: | 42814765 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2561-326X |
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| DOI: | 10.2196/95679 |