Open AccessThe Management of GDM Patients by Telemedicine in Covid-19 Pandemic Situation in Bangladesh
Author(s) -
Mir Rabaya Akter,
Sufia Khatun,
Tayeeba Tanjin Mirza,
Mohammad Tariqur Rahman,
Rabea Khatun
Publication year - 2022
Publication title -
scholars journal of applied medical sciences
Language(s) - English
Resource type - Journals
eISSN - 2347-954X
pISSN - 2320-6691
DOI - 10.36347/sjams.2022.v10i02.016
Subject(s) - telemedicine , pandemic , medicine , gestational diabetes , pregnancy , covid-19 , population , obstetrics , gestation , pediatrics , health care , environmental health , disease , biology , infectious disease (medical specialty) , economics , genetics , economic growth
Background: Gestational diabetes (GDM) burden has been increasing progressively several years. Specially in pandemic days situation gets more tough as risk of getting infected is higher. However telemedicine approaches offers new hope to many. Objective: In this study our main goal is to evaluate the management of GDM patients by telemedicine in covid-19 pandemic situation in Bangladesh. Method: This prospective study was conducted at tertiary medical college and hospital from June 2020 to august 2021 where 100 women diagnosed as having GDM before 28 weeks of gestation were included as a sample population. Results: During the study, most of the patients belong to 31-40 years age group, 52% and 55% were housewife. In addition multigravida were 95.8% cases were noted. However, lower blood glucose level higher systolic, diastolic pressure and HbA1C % were noted GDM cases which gets lower after intervention approaches 180 ± 8.7mg/dl, 99.9 ± 10.5 mmHG, 62.4 ± 8.6 mmHG. and 5.1± 0.4. Moreover, 65% cases delivered normally and preterm birth seen in 5% cases. Conclusion: GDM is the most prevalent metabolic alteration diagnosed during pregnancy, where through artificial-intelligence-augmented telemedicine monitoring task getting easier as it offers a good alternative, saving resources while maintaining the standards of care proposed in the clinical guidelines. The data presented in this study show the feasibility and acceptance of the developed smart telemedicine system in covid-19 pandemic days.