Articles Vol. 66 No. CĐ8-NCKH 22/08/2025

29. EFFECTIVENESS OF TELEHEALTH INTERVENTION IN OUTPATIENT TREATMENT MANAGEMENT OF PATIENTS WITH TYPE 2 DIABETES MELLITUS AT LIEN CHIEU DISTRICT MEDICAL CENTER, DA NANG CITY: A LONGITUDINAL ANALYSIS

Truong Van Dat1,2,3,4, Nguyen Trung Viet5,6, Nguyen Truong Quoc Dung7,8, Le Van Hieu2,4, Tran Dinh Trung9,10, Pham Dinh Luyen11,12, Le Thi Kim Anh1,3
1 Hanoi University of Public Health
2 Ministry of Health
3 Trường Đại học Y tế công cộng
4 Bộ Y tế
5 YouMed Viet Nam Limited Company
6 Công ty TNHH YouMed Việt Nam
7 Ho Chi Minh city Department of Health
8 Sở Y tế thành phố Hồ Chí Minh
9 Danang University of Medical Technology and Pharmacy
10 Trường Đại học Kỹ thuật Y Dược Đà Nẵng
11 University of Medicine and Pharmacy at Ho Chi Minh City
12 Đại học Y Dược thành phố Hồ Chí Minh
Corresponding author: phd2051001@studenthuph.edu.vn
DOI: 10.52163/yhc.v66iCD8.2575
27 Views
19 Downloads
Keywords
Type 2 diabetes outpatient telehealth generalized estimating equations longitudinal analysis.
Abstract

Objective: This study aimed to evaluate the effectiveness of a telehealth intervention (via the YouMed application) in controlling HbA1c and plasma glucose levels among outpatients with type 2 diabetes mellitus at Lien Chieu district Medical Center, Da Nang city, through longitudinal analysis using a generalized estimating equations regression model.

Methods: A quasi-experimental study with a non-randomized controlled design was conducted. A total of 230 patients (intervention group and control group in a 1:1 ratio) were monitored at three time points: before the intervention, after 3 months, and after 6 months. Logistic generalized estimating equations regression models were used to analyze the probability of achieving HbA1c < 7% and glucose < 7.2 mmol/L after adjusting for confounding factors.

Results: Patients in the intervention group were nearly twice as likely to achieve HbA1c < 7% compared to those in the control group (OR = 1.998; 95% CI: 1.171-3.408; p = 0.011). There was no statistically significant difference between the two groups regarding the probability of achieving the target plasma glucose level (p = 0.318).

Conlusion: Telehealth intervention significantly improved HbA1c control and represents a promising approach for managing chronic diseases at the primary healthcare level.

References
[1]
Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract, 2019, 157: 107843. Google Scholar
[2]
American Diabetes Association. 6. Glycemic Goals and Hypoglycemia: Standards of Care in Diabetes 2024. Diabetes Care, 2024, 47 (Suppl 1): S111-S125. Google Scholar
[3]
Nam S, Chesla C, Stotts N.A, Kroon L, Janson S.L. Barriers to diabetes management: Patient and provider factors. Diabetes Res Clin Pract, 2011, 93 (1): 1-9. Google Scholar
[4]
Tchero H, Kangambega P, Briatte C, Brunet-Houdard S, Retali GR, Rusch E. Clinical effectiveness of telemedicine in diabetes mellitus: A meta-analysis of 42 randomized controlled trials. Telemed J E Health, 2019, 25 (7): 569-83. Google Scholar
[5]
Zhai Y, Zhu W, Cai Y, Sun D, Zhao J. Clinical- and cost-effectiveness of telemedicine in type 2 diabetes mellitus: A systematic review and meta-analysis. Medicine (Baltimore), 2014, 93 (28): e312. Google Scholar
[6]
Lee S.W.H, Ooi L, Lai Y.K. Telemedicine for the management of glycemic control and clinical outcomes of type 1 diabetes mellitus: A systematic review and meta-analysis of randomized controlled studies. Front Pharmacol, 2017, 8: 330. Google Scholar
[7]
Truong Van Dat, Nguyen Dai Vinh, Thai Minh Hoang, Bui Van Nhieu, Tran Dinh Trung, Nguyen Ngoc Trung, Pham Dinh Luyen, Le Thi Kim Anh. Effectiveness of telehealth intervention on glycemic control in patients with type 2 diabetes mellitus at Lien Chieu district Medical Center, Da Nang city in 2023-2024: a non-randomized controlled intervention study, 2024, 65 (English version): 149-155. Google Scholar
[8]
Liang K.Y, Zeger S.L. Longitudinal data analysis using generalized linear models. Biometrika, 1986, 73 (1): 13-22. Google Scholar
[9]
Kesavadev J, Shankar A, Pillai P.B, Krishnan G, Jothydev S. Cost-effective use of telemedicine and self-monitoring of blood glucose via Diabetes Tele Management System (DTMS) to achieve target glycosylated hemoglobin values without serious symptomatic hypoglycemia in 1,000 subjects with type 2 diabetes mellitus: a retrospective study. Diabetes Technol Ther, 2012, 14 (9): 772-6. Google Scholar
[10]
Shamanna P, Erukulapati R.S, Shukla A, Shah L, Willis B, Thajudeen M et al. One-year outcomes of a digital twin intervention for type 2 diabetes: a retrospective real-world study. Sci Rep, 2024, 14 (1): 25478. Google Scholar
[11]
Tourkmani A.M, Alharbi T.J, Rsheed A.M, Almadani W.H, Aljuraisi F.K, Alotaibi W.Y et al. Impact of telemedicine on glycemic control in type 2 diabetes mellitus during the COVID-19 lockdown period. Front Endocrinol (Lausanne), 2023, 14: 1068018. Google Scholar