ABSTRACT
The global pandemic COVID-19 has led to extreme loss of human life worldwide. The pandemic has made a profound impact on the psyche of some people, and it has led to suicide. The need for confident handling of specific risk factors for suicide is needed. Therefore, to support Indonesian governments to control the increment of suicidal ideas for adolescents using a combination of unmoderated remote usability testing (URUT) and usability metric for user experience (UMUX)-Lite. Then we adopted the school-based mental health program to make a prototype mobile application using the risk factor for suicidal ideation (RFSI) instrument to identify suicidal ideas in adolescents. Participants’ characteristics included late adolescents aged 19-22 years, male and female. The results show that the time-based efficiency on the registered task obtained from the calculation is 0.025 goals/sec. In one second, participants could complete a 0.025 of the job;although all participants could complete all tasks well and quickly, they provided good satisfaction scores. Some design improvements are needed on the prototype by considering user input. © 2022 Institute of Advanced Engineering and Science. All rights reserved.
ABSTRACT
Background: The diversity demography of coronavirus disease 2019 (COVID-19) has prompted us to collect data in our workplace. These data are essential because they can serve as a data bank of demographics in one big hospital in East Java. We analyzed patients' characteristics with COVID-19 admitted to the Intensive Care Unit (ICU) Special Hospital for Infections, Airlangga University, Surabaya. Methods: Retrospective study from medical record of 180 patients with confirmed COVID-19 admitted to the ICU Special Hospital for Infections, Airlangga University of Surabaya between April-September 2020. Results: Most of the patients were male (67.2%), with median age was 55 (22-83) years. The body mass index (BMI) data consisted of normal (48.9%), overweight (39.4%), obesity class I 7.8%, obesity class II 1.1%, obesity class III 0.6%, and underweight 2.2%. We found severe acute respiratory distress syndrome (ARDS) in 63.9%. The use of invasive mechanical ventilation was 74% of the total patients. Most of the . patients (85%) had comorbidity: hypertension, diabetes mellitus, and geriatrics. The average length of stay in the ICU was 8.5 days. We trans-ferred 29% of patients to a low-care ward, and 66.7% died. We identified gastrointestinal symptoms on admission to the ICU were 43.3%, pre-dominantly by nausea and vomiting. Forty-six point seven percent of patients with gastrointestinal symptoms during hospitalization consisted of gastric retention and diarrhea, some with hematin. Conclusion: The demographic data we present above are limited in our area. The demographic data of COVID-19 patients in other places may be different from the information we obtained. However, data like this may represent the patient's condition in areas similar to ours. Besides, this data can warn that the patient's condition, as in our data, requires special attention. It is necessary to add data from all corners of Indonesia to represent the demographic data of COVID-19 patients in Indonesia.