Assume that an LOS of up to seven days is classified as shor
Assume that an LOS of up to seven days is classified as short and a LOS greater than seven days is classified as long. Given this assumption, and using a 2x2 contigency table, determine the following ratios and risks:
Distribution of Short and Long Stays by population characteristics
1. Risk of a long stay for whites as compared to african americans
| Characteristic | # of short stays (up to 7 days) | # of long stays |
| Overall | 7,854 | 1,185 |
| Age | ||
| Under 5 yrs | 3,995 | 690 |
| 6-10 yrs | 1,023 | 135 |
| 11-14 yrs | 780 | 138 |
| 15-18 yrs | 2,056 | 222 |
| Sex | ||
| Male | 3,774 | 649 |
| Female | 4,080 | 536 |
| Race | ||
| White | 4,103 | 572 |
| Black | 1,651 | 283 |
| Other | 200 | 42 |
| Hospital | ||
| Eastside Hospital | 981 | 74 |
| Riverside Hospital | 1,401 | 211 |
| Westside Medical Center | 5,472 | 900 |
| Primary Payment Source | ||
| Workers\' Compensation | 15 | 1 |
| Medicare | 35 | 20 |
| Medicaid or CHIP | 2,209 | 363 |
| Private Insurance | 4,175 | 596 |
| Self-pay | 690 | 77 |
| Other | 526 | 90 |
Solution
overall long stay giventhat is 1185
white long stay=572
africans that means black=283
risk for long stay=572-283=289
