ABSTRACT
BACKGROUND: The high prevalence of diabetes mellitus (DM) in the population causes DM to become one of the most common comorbidities of coronavirus disease 2019 (COVID-19). Patients with diabetes have a higher risk of experiencing serious complications from COVID-19 and even death. AIM: This study was aimed to determine the difference in survival probability of COVID-19 patients, based on their DM status and to determine the association between type 2 DM and COVID-19 mortality at Al Ihsan Hospital, West Java Province, Indonesia. METHOD(S): The population of this retrospective cohort study were COVID-19 patients, aged >=18 years and were treated at Al Ihsan Hospital, from March 2020 to December 31, 2021. Differences in survival probability were obtained from survival analysis with Kaplan-Meier. Cox Proportional Hazard regression was used to determine the association between type 2 DM and COVID-19 mortality. RESULT(S): Totally, 308 confirmed positive COVID-19 patients were recruited in this study. During the 21 days of observation, survival probability of COVID-19 patients with type 2 DM was significantly lower than those without type 2 DM (71.24% vs. 84.13% respectively, with p = 0.0056). There was a statistically significant association between type 2 DM and COVID-19 mortality after controlling for age, cough symptoms, acute respiratory distress syndrome, vaccination, chronic kidney disease, ventilator use, antiviral therapy, and the percentage of bed occupation rate COVID-19 isolation at admission. The adjusted hazard ratio showing association between type 2 DM and COVID-19 mortality in the final model of multivariate analysis was 2.68 (95% CI 1.24-5.73). CONCLUSION(S): The survival probability of COVID-19 patients with type 2 DM was significantly lower than those without type 2 DM. COVID-19 patients with DM in Al Ihsan Hospital were almost 3 times more likely to be fatal as compared COVID-19 patients without DM.Copyright © 2023 Oka Septiriani, Mondastri Korib Sudaryo, Syahrizal Syarif, Citra Citra.
ABSTRACT
Web-based learning media is an educational services, allows the realization of edutainment with internet media. Compared to web-based learning, the problems of conventional learning can be viewed as limited interactivity of educators and students, the flexibility of providing time, place and teaching materials, and accessibility of learning material resources. This research aimed to determine the effect of learning by web-based second stage delivery care modules on improving the Associate's Degree(D-III)of Midwifery students. This research was a mixed methods research, combining R&D and Quantitative approaches, taking samples using total sampling, and held at STIKES Nani Hasanuddin in February-March 2021.The sample in this study was 60 associate's degree of midwifery students in the fourth semester, divided into 30 respondents as the control group and 30 respondents as the intervention group. Data were analyzed using the Independent T-Test. The learning model used the Askeb II delivery module learning combined with practice and demonstration for the intervention group, while the control group demonstrated using the available Askeb II learning guide. The modules were accessed and studied for three weeks. The length of the study was 4-5 times a week witha duration of 2 hours. The results showed that the average score of the student intervention group was 70, with 11 students passing (36.66%) and 19 students not passing (63.33%). In the post-test, the average score was 83, with 28 respondents were passing (93.33%) and two people were not (6.66%).Meanwhile, in the pre-test control group, the average score was 71, with 12 people passing (40%) and 18 people failed (60%). In the post-test, the average score was 76, with 21 people passing (70%) and 9 people failed (30%). Based on these results, it can be concluded that there were differences in student learning outcomes after using the Web-based Class II Normal Childbirth Care Learning Module so that the W-based Normal Childbirth Care Learning Module was better in increasing knowledge and skills of the second stage normal childbirth care.
ABSTRACT
As a midwife, it is essential to provide information on pregnant women's health problems, including exercise for pregnant women. Providing the information aims that pregnant women will continue to do light movements at home (sports) and the COVID-19 pandemic.This pandemic problem currently happening around the world results in limited outdoor activities for pregnant women. Therefore, we created an application,"Tanya Bidan," addressed to pregnant women. By downloading this Android application, they can see material or videos such as balanced nutrition material for pregnant women, exercise material for pregnant women, the material on breastfeeding techniques for postpartum mothers, and material on implant contraceptive methods on couples of childbearing age. Methods: This type of research was quasi-experimental (one group pre-test and post-test design). This study's sample was 72 pregnant women whose gestation age was 24-42 weeks in the Padongko Community Health Center's work area, conducted from June-February 2021. Pre-test and post-test using a questionnaire on pregnant women's exercise knowledge were used to collect the data. The Wilcoxon test was applied for data analyses.Result: Statistically, the pretest data gained a mean value of 1.01, with a minimum value of 1 and a maximum of 2. At the post-test, the mean value was 2.46, with a minimum of 2 and a maximum of 3. Based on the Wilcoxon test, the a-symp sigh (2 tailed) had a value of 0.000 <0.05.It showsan increase in exercise knowledge during the pre-test and post-test with the "Tanya Bidan" application.Conclusion:The usage of "Tanya Bidan" can effectively increase the knowledge of pregnant women's exercise in the COVID-19 era. © 2021 Turkish Physiotherapy Association. All rights reserved.