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This study evaluates whether the use of a Continuous Glucose Monitoring (CGM) device combined with a Remote Patient Monitoring (RPM) program can improve blood sugar control and reduce hospital visits among patients with poorly controlled diabetes who have recently been discharged from the hospital.
The study, led by White Plains Hospital (WPH) Cares, will follow 208 patients for 90 days after their discharge. Half of the participants will receive standard care, while the other half will receive a Dexcom G7 CGM device along with support from trained nurses who will monitor their glucose readings daily. The goal is to determine whether this approach helps lower Hemoglobin A1c (HbA1c) levels, reduces hospital readmissions, and improves overall health outcomes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control Arm -standard of care | No Intervention | ||
| Intervention Arm | Experimental | Continuous glucose monitoring, remote patient monitoring for 90 days |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Continues glucose monitoring with remote glucose monitoring for 90 days | Device | CGM + RPM |
|
| Measure | Description | Time Frame |
|---|---|---|
| Hemoglobin A1c | 90 days |
| Measure | Description | Time Frame |
|---|---|---|
| 30 days hospital readmissions | 30 days | |
| Overall healthcare utilization | 90 days | |
| Acute care visits related to abnormal glucose reading |
| Measure | Description | Time Frame |
|---|---|---|
| Percentage of Patients Enrolled in the Program | 2 years | |
| Changes in Medical Glucose Readings | 7 day | |
| Equity in Program Participation |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Michelle Elsener, MBA, BSN, RN-BC, CPHQ | Contact | 914-849-2273 | mielsener@wphospital.org | |
| Katarzyna Zarychta, MS | Contact | 914-849-7429 | kzarychta@wphospital.org |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32302521 | Background | Andersen JA, Scoggins D, Michaud T, Wan N, Wen M, Su D. Racial Disparities in Diabetes Management Outcomes: Evidence from a Remote Patient Monitoring Program for Type 2 Diabetic Patients. Telemed J E Health. 2021 Jan;27(1):55-61. doi: 10.1089/tmj.2019.0280. Epub 2020 Apr 17. | |
| 37940335 | Background | Elsener M, Santana Felipes RC, Sege J, Harmon P, Jafri FN. Telehealth-based transitional care management programme to improve access to care. BMJ Open Qual. 2023 Nov;12(4):e002495. doi: 10.1136/bmjoq-2023-002495. |
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| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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| 30 days |
(% of Participants Who Are Hispanic, African American, or Uninsured) |
| 2 years |
| 24876591 | Background | Greenwood DA, Young HM, Quinn CC. Telehealth Remote Monitoring Systematic Review: Structured Self-monitoring of Blood Glucose and Impact on A1C. J Diabetes Sci Technol. 2014 Mar;8(2):378-389. doi: 10.1177/1932296813519311. Epub 2014 Feb 21. |
| 32550161 | Background | Salehi S, Olyaeemanesh A, Mobinizadeh M, Nasli-Esfahani E, Riazi H. Assessment of remote patient monitoring (RPM) systems for patients with type 2 diabetes: a systematic review and meta-analysis. J Diabetes Metab Disord. 2020 Jan 10;19(1):115-127. doi: 10.1007/s40200-019-00482-3. eCollection 2020 Jun. |
| 24855158 | Background | Pal K, Eastwood SV, Michie S, Farmer A, Barnard ML, Peacock R, Wood B, Edwards P, Murray E. Computer-based interventions to improve self-management in adults with type 2 diabetes: a systematic review and meta-analysis. Diabetes Care. 2014 Jun;37(6):1759-66. doi: 10.2337/dc13-1386. |
| 35316502 | Background | Boye KS, Thieu VT, Lage MJ, Miller H, Paczkowski R. The Association Between Sustained HbA1c Control and Long-Term Complications Among Individuals with Type 2 Diabetes: A Retrospective Study. Adv Ther. 2022 May;39(5):2208-2221. doi: 10.1007/s12325-022-02106-4. Epub 2022 Mar 22. |
| 25877894 | Background | Steinhubl SR, Muse ED, Topol EJ. The emerging field of mobile health. Sci Transl Med. 2015 Apr 15;7(283):283rv3. doi: 10.1126/scitranslmed.aaa3487. |
| 31603490 | Background | Rodriguez-Gutierrez R, Herrin J, Lipska KJ, Montori VM, Shah ND, McCoy RG. Racial and Ethnic Differences in 30-Day Hospital Readmissions Among US Adults With Diabetes. JAMA Netw Open. 2019 Oct 2;2(10):e1913249. doi: 10.1001/jamanetworkopen.2019.13249. |
| 32784248 | Background | Soh JGS, Wong WP, Mukhopadhyay A, Quek SC, Tai BC. Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis. BMJ Open Diabetes Res Care. 2020 Aug;8(1):e001227. doi: 10.1136/bmjdrc-2020-001227. |
| Background | Centers for Disease Control and Prevention. National Diabetes Statistics Report, 2020. Atlanta, GA, Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, 2020, p. 12-15 |
| Background | U.S. Census Bureau. (2022). How has Westchester County's Racial and Ethnic Populations Changed. USA Facts. https://usafacts.org/data/topics/people-society/population-and-demographics/our-changing-population/state/new-york/county/westchester-county/. Accessed 12/9/2023. |
| Background | Westchester Community Foundation (2018) Health: Diabetes Mortality, by Race/Ethnicity. Westchester Index; An Initiative of Westchester County Foundation. https://westchesterindex.org/health/diabetes-mortality-by-race-ethnicity |
| Background | Smithwick, K. (n.d.). Diabetes Mortality, by race/ethnicity. Westchester Index. Retrieved November 3, 2022, from https://westchesterindex.org/health/diabetes-mortality-by-race-ethnicity. |
| Background | NY DOH, (2018). Percentage of Adults with Diagnosed Diabetes, by county, New York State, BRFSS 2018. New York Health. https://www.health.ny.gov/statistics/prevention/injury_prevention/information_for_action/docs/2021-01_ifa_report.pdf |
| Background | CDC. (n.d.). Diabetes State Burden Toolkit. Center for Disease Control and Prevention. https://nccd.cdc.gov/Toolkit/DiabetesBurden/TotalCost. Accessed 12/8/2023. |
| Background | American Diabetes Association. (2021). The Burden of Diabetes in New York. American Diabetes Association. https://www2.diabetes.org/sites/default/files/2021-11/ADV_2021_State_Fact_sheets_New%20York_rev.pdf |
| Background | CDC. (n.d.). Diabetes Data and Statistics. Center for Disease Control and M/edicine. Diabetes Data and Statistics. CDC. https://www.cdc.gov/diabetes/data/statistics-report/index.html. Accessed 12/7/2023 |