The Effectiveness of Health Management-Assisted Technology on Glycated Hemoglobin Levels in Patients with Type 2 Diabetes Mellitus: Meta-Analysis

Fajar Novianto, Atika Mima Amalin, Anggun Fitri Handayani, Anggraini Ambarsari, Diana Ode, Alfi Makrifatul Azizah, Ayu Trisni Pamilih, Annisa Fitriana Damalita, Fathiyyatu Assa'diy Firda, Ahmad Syauqi Mubarok


Background: Given the number of patients failing to achieve control of Diabetes Mellitus (DM), it causes an increase in the incidence of DM complications. Along with the rapid deve­lopment of technology in this era, this study aimed to prove the effectiveness of technology-based health management compared to usual treatment for levels glycated hemoglobin (HbA1c) in type 2 diabetes mellitus patients.

Subjects and Method: This was a meta-ana­lysis using a randomized controlled trial. Arti­cles were obtained from PubMed, Google Scholar, and ResearchGate databases. The arti­cles used in this study were those published from 2012-2021. The search article was carried out by considering the eligibility of the criteria determined using the PICO model. Population: type 2 DM patients (HbA1c>7%), Intervention: health management-assisted technology, Com­parison: usual care Outcome: HbA1c levels. There were 10 articles used with a sample size of 1693 people who were divided into two groups (845 people in the health management-assisted technology group and 848 people in the group usual care). Articles were analyzed using Review Manager 5.3 Appli­cation to determine the Standard Mean Diffe­rence (SMD) and heterogeneity of the study sample.

Results: From 10 articles that were processed using RevMan 5.3, significant results were obtained, this is indicated by the overall effect (diamond) which does not touch the vertical line H0 (d= 0) and can also be seen from the 95% CI range of -0.62 to -0.13 which shows significant because it does not pass the number 0 (SMD= -0.37; 95% CI= -0.62 to -0.13; p= 0.003). The heterogeneity of the research data shows I2 = 82% so that the distribution of the data is very heterogeneous (random effects model).

Conclusion: Using technology to help health management of patients with type 2 diabetes mellitus can reduce HbA1c levels compared to usual care.

Keywords: Health management, technology, diabetes mellitus, HbA1c

Correspondence: Fajar Novianto. Center for Research and Deve­lopment of Medicinal Plants and Traditional Medicine, National Institute of Health of Health, Jl. Raya Lawu No. 11 Karanganyar, Central Java. Email: dr.fajarnovianto@gmail.­com.

Journal of Health Policy and Management (2021), 06(02): 81-93


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