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  1. Phua J, Faruq MO, Kulkarni AP, Redjeki IS, Detleuxay K, Mendsaikhan N, et al.
    Crit Care Med, 2020 05;48(5):654-662.
    PMID: 31923030 DOI: 10.1097/CCM.0000000000004222
    OBJECTIVE: To assess the number of adult critical care beds in Asian countries and regions in relation to population size.

    DESIGN: Cross-sectional observational study.

    SETTING: Twenty-three Asian countries and regions, covering 92.1% of the continent's population.

    PARTICIPANTS: Ten low-income and lower-middle-income economies, five upper-middle-income economies, and eight high-income economies according to the World Bank classification.

    INTERVENTIONS: Data closest to 2017 on critical care beds, including ICU and intermediate care unit beds, were obtained through multiple means, including government sources, national critical care societies, colleges, or registries, personal contacts, and extrapolation of data.

    MEASUREMENTS AND MAIN RESULTS: Cumulatively, there were 3.6 critical care beds per 100,000 population. The median number of critical care beds per 100,000 population per country and region was significantly lower in low- and lower-middle-income economies (2.3; interquartile range, 1.4-2.7) than in upper-middle-income economies (4.6; interquartile range, 3.5-15.9) and high-income economies (12.3; interquartile range, 8.1-20.8) (p = 0.001), with a large variation even across countries and regions of the same World Bank income classification. This number was independently predicted by the World Bank income classification on multivariable analysis, and significantly correlated with the number of acute hospital beds per 100,000 population (r = 0.19; p = 0.047), the universal health coverage service coverage index (r = 0.35; p = 0.003), and the Human Development Index (r = 0.40; p = 0.001) on univariable analysis.

    CONCLUSIONS: Critical care bed capacity varies widely across Asia and is significantly lower in low- and lower-middle-income than in upper-middle-income and high-income countries and regions.

    Matched MeSH terms: Critical Care/statistics & numerical data*
  2. Foong JW, Ong JS, Oo WL, Hossain MM, Baskaran ND, Haron H, et al.
    Med J Malaysia, 2019 04;74(2):109-115.
    PMID: 31079120
    INTRODUCTION: Organ donation rate in Malaysia is amongst the lowest in the World. Healthcare professionals (HCPs) working in critical care areas play an important role in the deceased organ donation (DOD) process. This study seeks to identify the demographics of HCPs working in the critical care areas and their knowledge and attitudes toward the DOD process.

    METHOD: A cross-sectional survey on the demographics, knowledge and attitudes of the doctors and nurses working in critical care areas was undertaken by the random sampling method, using a validated, structured questionnaire. HCP's knowledge and attitudes towards brain death (BD), DOD, organ transplantation (OT), and possession of organ donor card were compared against their demographics.

    RESULTS: Four hundred and twelve (72.9%) out of the total 565 HCPs in critical care areas responded of whom 163 (39.6%) were doctors and 249 (60.4%) were nurses. After adjusting for other factors, department of work and profession were highly correlated with the overall knowledge score (p<0.001 and p=0.003 respectively) and knowledge about BD (p<0.001 and p=0.013 respectively). HCPs from the neurosurgical intensive care unit (p<0.001) and doctors (p<0.001) had higher mean knowledge scores compared to their counterparts. Profession was most significantly correlated with having a positive attitude towards BD (p<0.001) and OT (p<0.001).

    CONCLUSION: Department, profession and ethnicity were the demographic characteristics that correlated with knowledge and attitudes of HCPs on organ donation. Efforts to improve DOD rates in Malaysia should include targeted interventions to address the knowledge and attitudes of HCPs working in critical care areas.

    Matched MeSH terms: Critical Care/statistics & numerical data*
  3. Tan-Loh J, Cheong BMK
    Med J Malaysia, 2021 01;76(1):24-28.
    PMID: 33510104
    INTRODUCTION: COVID-19 is a highly transmissible respiratory virus that has affected millions of people worldwide in the span of months. The burden of disease among healthcare workers (HCW) has not been well studied despite reports of infectivity and transmission around the world. Two HCW in Hospital Teluk Intan (HTI) contracted COVID-19 while attending a social event. They were in close proximity with colleagues upon returning to work, resulting in the spread of infection among other HCW in HTI.

    OBJECTIVE: The objectives of this paper are to gain a better understanding of the key presenting symptoms of COVID-19 in HCWs in a district specialist hospital, to establish the proportion of symptomatic COVID-19 cases among HCWs and its severity and to determine the time taken from onset of symptoms or perceived exposure to diagnostic testing.

    METHODOLOGY: This is a retrospective descriptive analysis of clinical characteristics of subjects infected with COVID-19 among HCW in HTI. Their demography and clinical characteristics were recorded.

    RESULTS: There were 47 HCW in HTI who tested positive for COVID-19. The mean age of the patients was 37.5 years old. 7 patients (15.2%) had at least more than one comorbidity. Average duration of time from perceived close contact to onset of symptom was 4.5 days, while the mean duration of time from symptoms to first positive RT-PCR result was 3.4 days. Six patients (13.0%) were asymptomatic throughout, whereas 40 (87.0%) had at least one symptom prior to hospitalization. The most commonly reported symptoms were fever (65.2%), sore throat (39.1%) and cough (37.0%). In terms of severity of symptoms, the majority of patients experienced mild symptoms (Group 2, 52.2%). Two patients (4.3%) with multiple comorbidities had severe disease requiring ICU admission and mechanical ventilation. There were no mortalities, and the longest staying patient was hospitalized for 18 days. The high rates of infectivity among HCW in HTI can be attributed to working in close proximity while in the asymptomatic incubation phase, while no HCW directly involved in the care of COVID-19 positive patients were tested positive.

    CONCLUSION: We report that HCW share similar clinical characteristics of COVID-19 infection as those of non HCW patients in earlier studies. The infection can spread rapidly within healthcare settings via close contacts among infected HCWs. As such, we advocate distancing when working and usage of personal protective equipment when treating patients with respiratory illness to reduce transmission of COVID-19.

    Matched MeSH terms: Critical Care/statistics & numerical data
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