Factors Related to Acceptance of Covid-19 Vaccine among Hemodialysis Patients

Hemodialysis patients are at risk of being infected with Corona Virus Disease 2019 (Covid-19). On the other hand. End-Stage Kidney Disease (ESKD) plays a role as a predictor factor of severe Covid-19 infection. There is no data about factors that affect Covid-19 vaccine acceptance among hemodialysis patients in Indonesia. This study’s goal is to determine the factors related to Covid-19 vaccine acceptance among hemo-dialysis patients. A Cross-sectional study occurred in September 2021 in the hemodi-alysis unit at Roemani Muhammadiyah Hospital Semarang. Inclusion criteria include ESKD patients who underwent hemodialysis ≥3 months, hemodialysis frequency twice a week, communicable, and agree to join in this study. While patients with in-complete data. and being treated in the Covid-19 isolation ward are excluded from this study. Collected data analyzed using chi-square using Statistical Program for So-cial Science (SPSS) 18.0 version. From 87 respondents, 36 (41.4%) respondents have been vaccinated and 51 (58.6%) respondents have not been vaccinated. Hemodialysis patients with high educational level, elderly, and has undergone hemodialysis >18 months have higher acceptances of Covid-19 vaccine (57.1% and 33.9%;60.9% and 34.4%;51% and 38.5%, p-value 0.04;0.027;0.03. Prevalence Ratio (PR) = 1.7;1.8;1.8). While gender, marital status, and history of Covid-19 infection did not have a significant relationship to Covid-19 vaccine acceptance (p > 0.05). Educational level, elderly patients, and duration of hemodialysis have a higher acceptance of the Covid-19 vaccine among the hemodialysis population. © 2022, Brawijaya University. All rights reserved.

Analysis of Basic Immunization Services during the COVID-19 Pandemic at Public Health Centers in Semarang

BACKGROUND: The Corona Virus Disease 2019 (COVID-19) pandemic has affected public health services, including routine immunization services. If this condition continues, the national immunization coverage will decrease, thereby potentially increasing the risk of immunization preventable diseases. AIM: This study aims to determine the coverage of complete basic immunization services in Semarang before (December 2019) and during the pandemic (May 2020) and the factors that affect the coverage of complete basic immunization services. METHODS: This study describes complete basic immunization based on data taken in June-August 2021 at three health centers in Semarang. The data used were the number of visits and the type of immunization obtained from the medical records of the Health Center Management Information System. In addition, in-depth interviews were conducted with the person in charge of the immunization program at the Public Health Center (Puskesmas) to determine the influence factors of the immunization coverage.. The data from the interviews were then analyzed thematically. RESULTS: There were 3594 infants who received immunization services, consisting of 2401 before the pandemic and 1193 during the pandemic. The average decrease in the number of basic immunization services was 50.31%. The decrease in the number of basic immunization services occurred in all network public health centers with an average of Puskesmas Genuk (−36.63%), Halmahera (−40%), and Pandanaran (−26.35%). The mother’s fear of COVID-19 contagious, service time and patients restrictions by the PHC, and IPV vaccine stock out have reduced the basic vaccination coverage in all public health centers. CONCLUSION: There was a decline in basic immunization coverage during the pandemic, so it is necessary to fulfill basic immunization needs and service innovations including the use of virtual engagement and optimization of social media for basic immunization campaigns.

Impact on Medical Education and the Medical Student’s Attitude, Practice, Mental Health, After One Year of the Covid-19 Pandemic in Indonesia

Introduction: The COVID-19 pandemic has caused disruptions in educational institutions across the country, prompting medical schools to adopt online learning systems. This study aims to determine impact on medical education and the medical student’s attitude, practice, mental health after 1 year of the Covid-19 pandemic in Indonesia. Methods: This study utilized a cross-sectional design. An online questionnaire was distributed digitally to 49 medical schools in Indonesia from February–May 2021. A total of 7,949 medical students participated in this study. Sampling was carried out based on a purposive technique whose inclusion criteria were active college students. This research used questionnaires distributed in online version among 49 medical faculties that belong to The Association of Indonesian Private Medical Faculty. Instruments included demographic database, medical education status, experience with medical tele-education, ownership types of electronic devices, availability of technologies, programs of education methods, career plans, attitudes toward pandemic, and the mental health of respondents. Univariate and bivariate statistical analysis was conducted to determine the association of variables. All statistical analyses using (IBM) SPSS version 22.0. Results: Most of the respondents were female (69.4%), the mean age was 20.9 ± 2.1 years. More than half of the respondents (58.7%) reported that they have adequate skills in using digital devices. Most of them (74%) agreed that e-learning can be implemented in Indonesia. The infrastructure aspects that require attention are Internet access and the type of supporting devices. The pandemic also has an impact on the sustainability of the education program. It was found that 28.1% were experiencing financial problems, 2.1% postponed their education due to this problems. The delay of the education process was 32.6% and 47.5% delays in the clinical education phase. Around 4% student being sick, self-isolation and taking care sick family. the pandemic was found to affect students’ interests and future career plans (34%). The majority of students (52.2%) are concerned that the pandemic will limit their opportunities to become specialists. Nearly 40% of respondents expressed anxiety symptoms about a variety of issues for several days. About a third of respondents feel sad, depressed, and hopeless for a few days. Conclusion: The infrastructure and competency of its users are required for E-learning to be successful. The majority of medical students believe that e-learning can be adopted in Indonesia and that their capacity to use electronic devices is good. However, access to the internet remains a problem. On the other side, the pandemic has disrupted the education process and mental health, with fears of being infected with SARS-CoV-2, the loss of opportunities to apply for specialty training, and the potential for increased financial difficulties among medical students. Our findings can be used to assess the current educational process in medical schools and maximize e-learning as an alternative means of preparing doctors for the future. Copyright © 2022 Turana, Primatanti, Sukarya, Wiyanto, Duarsa, Wratsangka, Adriani, Sasmita, Budiyanti, Anditiarina, Ainin, Sari, Darwata, Astri, Prameswarie, Tursina, Purbaningsih, Kurniawan, Widysanto, Setiawan, Ma’roef, Yuliyanti, Rahayu, Sahadewa, Raharjo, Lestari, Pinilih, Dewi, Dinata, Permatasari, Rahayu, Mahardhika, Herlinawati, Hayati, Setyonugroho, Diarsvitri, Purwaningsari, Chiuman, Latief, Triliana, Tubarad, Triastuti, Sompa, Angreni, Lubis, Tadjudin, Pandhita, Pramuningtyas, Anas, Ayuningtiyas, Ivone, Yunita, Handayani, Puspitasari, Tendean, Suswanti and Kurniawan.

Development of Real-time Handwashing Assessment using Video Analysis

The world communities have suffered from the COVID-19 pandemic for the last two years. Even though many countries have started to normalise the situation, the COVID-19 still becomes a severe threat in the future. Healthy habits, such as complete and frequent handwashing, still need to be practised. These habits can minimise the transmission risks. The paper proposed a single-board computer system that aims to assess the handwashing steps. The standardised handwashing procedure is used to validate the acquired video of hand movement. The system is installed in a Raspberry Pi and receives video data from the connected mini camera. The deep learning model is implemented to provide classification capabilities. The assessment result is summarised according to the movement completeness and total duration. The testing stages found that the proposed system can provide accuracy and F1-score values of 82.55% and 86.66%, respectively. © 2021 ACM.