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Samsung says its sleep score is based on seven factors: total sleep time, sleep 'efficiency', time taken to fall asleep, the number of times you woke up, the number of times you got out of bed, percentage of time in REM (rapid eye movement) sleep, and the percentage of time in deep sleep.
We calculated the percentage of critical care beds within each hospital (ICU bed percentage).
Only the US region and ICU bed percentage were statistically significant in linear regression analysis; however, the effect size associated with ICU bed percentage was small (-0.03 for each percentage increase; 95% confidence interval, -0.05 to -0.002; P = 0.03).
Figure 1 shows the distribution of ICU visitation restrictions based on hospital bed size and ICU bed percentage.
The mean ICU bed percentage was 11.6 ± 13.4%; the mean number of ICUs per hospital was 2.1 ± 1.8.
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The group also has the lowest values of five variables: gross output value of farming, forestry, animal husbandry, and fishery per square kilometer; urban population; percentage of social welfare beds; percentage of cultivated land; and population density.
Sleep efficiency was calculated as the ratio of time asleep to the time in bed, in percentage.
When corrected for the former variables, the variables hospital size, patients per bed and percentage of days in day cases were no longer significantly related to the HSMR.
Outcome parameters: CA/1,000 bed-days, percentage of CPR attempts deemed inappropriate by two senior intensivists, percentage of patients (in whom CPR attempts were deemed appropriate) with abnormal physiology prior to CA and survival post CA. Charlson's co-morbidity index (CCI) [ 2] was calculated for both periods.
The mean hospital size was 239 ± 217 beds; the mean percentage of ICU beds was 11.6% ± 13.4%.
SL was the time period measured from "lights out" or "bedtime" to the beginning of sleep, and SE defined as the proportion of sleep in the period potentially filled by sleep: ratio of total sleep time to time in bed as a percentage, where a SE less than 85% is considered to be indicative of sleep disturbance [ 21].
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