Ode, Diana
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The Effectiveness of Health Management-Assisted Technology on Glycated Hemoglobin Levels in Patients with Type 2 Diabetes Mellitus: Meta-Analysis Novianto, Fajar; Amalin, Atika Mima; Handayani, Anggun Fitri; Ambarsari, Anggraini; Ode, Diana; Azizah, Alfi Makrifatul; Pamilih, Ayu Trisni; Damalita, Annisa Fitriana; Firda, Fathiyyatu Assa'diy; Mubarok, Ahmad Syauqi
Journal of Health Policy and Management Vol. 6 No. 2 (2021)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (34.166 KB)

Abstract

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, HbA1cCorrespondence: 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): 81-93https://doi.org/10.26911/thejhpm.2021.06.02.01 
Correlation between Low Birth Weigth and Stunting in Children Under Five: Meta Analysis Ode, Diana; Murti, Bhisma; Budihastuti, Uki Retno
Journal of Maternal and Child Health Vol. 7 No. 5 (2022)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (33.684 KB) | DOI: 10.26911/thejmch.2022.07.05.01

Abstract

Background: Stunting in children is a risk factor for increasing child mortality. The purpose of this study was to determine the relationship between LBW and the incidence of stunting based on previous primary studies. Subjects and Method: This research was conducted using a meta-analysis study with PICO as follows: P = toddler, I = low birth weight, C = normal birth weight, O = stunting. Search articles in this study using 3 databases, namely Pubmed, Google Scholar and Springerlink. Search articles using the following keywords: Low birth weight AND Stunted OR Birth weight AND Stunted, articles were analyzed using the Review Manager 5.3 application. Results: There are 11 articles from Rwanda, Nepal, Ethiopia, Eastern Kenya, Pakistan, China, Indonesia, and Tanzania from 2017-2022 which were analyzed using PRISMA flow diagrams. The results of this study indicate that toddlers who have a history of being born with low birth weight have a risk of experiencing stunting as much as 2.19 times compared to toddlers who have a history of birth with normal birth weight (aOR= 2.19; 95% CI= 1.77 to 2.69; p<0.001). Conclusion: Toddlers with a history of LBW births are at risk for stunting. Keywords: LBW, stunting, toddlers, meta-analysis. Correspondence: Diana Ode. Master’s Program in Public Health, Universitas Sebelas Maret. Jl.Lawu raya Seturan Caturtunggal Depok Sleman Yogyakarta 55281 Indonesia. Email: dianaodef161@gmail.com. Mobile: +6285395912173.