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.
METHODS: A cross-sectional survey was conducted in 12 private hospitals in Malaysia. A total of 652 (response rate = 61.8%) nurses participated in the study. Data were collected using self-administered questionnaire on nurses' characteristic, adverse events and events reporting, and perceived patient safety.
RESULTS: Patient and family complaints events were the most common adverse events in Malaysian private hospitals as result of increased cost of care (3.24 ± 0.95) and verbal miscommunication (3.52 ± 0.87).
CONCLUSION: Hospital size, accreditation status, teaching status, and nurse ethnicity had a mixed effect on patient safety, perceived adverse events, and events reporting. Policy makers can benefit that errors are related to several human and system related factors. Several system reforms and multidisciplinary efforts were recommended for optimizing health, healthcare and preventing patient harm.