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Journal of Investigative Dermatology ; 142(8, Supplement):B38, 2022.
Article in English | ScienceDirect | ID: covidwho-1936828
Critical Care ; 26(SUPPL 1), 2022.
Article in English | EMBASE | ID: covidwho-1793867


Introduction: Burnout syndrome (BOS) has been recognized for over 50 years. Over time, it has been reported that certain health care specialties are more vulnerable to BOS, such as those working in an intensive care unit (ICU). The introduction of extracorporeal membrane oxygenation (ECMO) and its growing demand, adds to the overall workload in ICU, and exposes practitioners to complex ethical and administrative situations, which may impact their psychological well-being. We aim to investigate the effects of an ECMO service, on BOS development in the ICU. Methods: We conducted a cross-sectional descriptive study, using an online questionnaire;The Maslach Burnout Inventory Human Services Survey for Medical Personnel. In addition, demographic variables, workload, salary satisfaction, and caring for coronavirus disease 2019 (COVID-19) patients were assessed. Participants were divided based on working in ICU with ECMO service into ICU with (ECMO-ICU) and without (non-ECMO-ICU) ECMO service, and burnout status (burnout and no burnout). Results: The response rate for completing the questionnaire was 36.4% (445/1222). Males represented 53.7% of the participants. The overall prevalence of burnout was 64.5%. The overall burnout prevalence did not differ between ECMO- and non-ECMO-ICU groups (64.5% and 63.7, respectively). However, personal accomplishment (PA) score was significantly lower among ECMO-ICU personnel compared to those in a non-ECMO ICU (42.7% versus 52.6, p = 0.043). Significant predictors of burnout included profession (nurse or physician), acquiring COVID-19 infection, knowing other practitioners who were infected with COVID- 19, salary dissatisfaction, and extremes of workload. Conclusions: Burnout was equally prevalent among participants from ECMO- and non-ECMO ICU, but PA was lower among participants in ICU with an ECMO service. The reported high prevalence of burnout, and its predictors, requires special attention to try and reduce its occurrence.

2021 International Conference on Artificial Intelligence and Big Data Analytics, ICAIBDA 2021 ; : 66-70, 2021.
Article in English | Scopus | ID: covidwho-1774632


The COVID-19 pandemic is far from over. The government has carried out several policies to suppress the development of COVID-19 is no exception in Bogor Regency. However, the public still has to be vigilant especially now we will face a year-end holiday that can certainly be a trigger for the third wave of COVID-19. Therefore, researchers aim to make predictions of the increase in positive cases, especially in the Bogor Regency area to help the government in making policies related to COVID-19. The algorithms used are Gaussian Process, Linear Regression, and Random Forest. Each Algorithm is used to predict the total number of COVID-19 cases for the next 21 days. Researchers approached the Time Series Forecasting model using datasets taken from the COVID-19 Information Center Coordinationn Center website. The results obtained in this study, the method that has the highest probability of accurate and appropriate data contained in the Gaussian Process method. Prediction data on the Linear Regression method has accurate results with actual data that occur with Root Mean Square Error 1202.6262. © 2021 IEEE.

British Journal of Surgery ; 108:1, 2021.
Article in English | Web of Science | ID: covidwho-1539288
ASAIO Journal ; 66(SUPPL 3):66, 2020.
Article in English | EMBASE | ID: covidwho-984410


Transporting patients on ECMO is a proven safe and effective mode of transferring critically ill patients requiring maximum mechanical ventilator support to a regional quaternary care center. Prior to the COVID-19 pandemic, mobile ECMO teams were able to be transported without suffering adverse events. With the COVID-19, the safety of the staff and transport team adds a new layer of challenges. We conducted a retrospective study of 79 patients (median age 36 years old, 41% male) who were cannulated at an outside hospital and transported on Venovenous or Venoarterial ECMO to one of five quaternary care centers. The average distance travelled was 27 miles (SD 23 miles) and the duration of the transport was 56 minutes (SD 36 minutes) from ambulance bay to ambulance bay. The teams consisted of 1-2 physicians for cannulation and patient management, 2 critical care transport nurses and a driver or pilot. Mobile ECMO team members practiced strict ACE precautions while caring for the patient and were in standard PPE at other times. The primary mode of transportation was ground. Six patients were transported by air. There were no instances of transport related adverse events including pump failures, cannulation complications at the OSH or decannulations in transit. There were no instances of the transport team members contracting COVID-19 at 30 days after transport. By adhering to best practices and ACE precautions, patients with COVID-19 can be safely cannulated at an outside hospital and transported to a quaternary care center without increased risk to the transport team.