Nationwide, for every 1,000 hospital admissions in 2010:
- 49 patients experienced adverse drug events (accounting for 34.1 percent of hospital-acquired conditions).
Sign up for our FREE E-Weekly for more coverage like this sent to your inbox!
- 40 patients developed pressure ulcers (27.8 percent of HACs).
- 27 patients developed some other hospital-acquired condition (18.8 percent of HACs).
- 12 patients developed catheter-associated urinary tract infections (8.4 percent of HACs.
- 8 patients fell while in the hospital (5.5 percent of HACs).
- 3 patients developed surgical site infections (2.1 percent of HACs).
- 3 patients experienced obstetric adverse events (1.7 percent of HACs).
- 1.2 patients contracted ventilator-associated pneumonia (0.8 percent of HACs).
- 0.5 patients developed central line-associated bloodstream infections (0.4 percent of HACs).
- 0.5 patients had a venous thromboembolism (0.3 percent of HACs).
Specific statistics from the report on several conditions include:
- Postoperative sepsis (2009) — 15.31 per 1,000 discharges. The rate was approximately equal across all income groups but patients 65 and older were at a higher risk for the condition.
- CAUTIs (2010) — 3.6 percent of postoperative adult surgery patients requiring a catheter. Less than 2 percent of adults less than 65 years of age contracted a CAUTI, while between 3.4 and 6.3 of those over 65 years of age contracted the infection, with increased age increasing risk of CAUTI.
- CLABSIs (2009) — 2.8 per 1,000 medical and surgical discharges for stays lasting two or more days. CLABSI rates were higher in Medicaid patients and in male patients by about 1 percent.
- Pediatric CLABSIs (2010) — 1.8 per 1,000 central line days for medical/surgical ICUs. Risk of developing a CLABSI increased as the child’s weight decreased.
- Adverse events from catheter placement (2010) — 3.3 percent. Rates were more than half a percent higher in obese patients, patients with lung diseases and patients with kidney disease.
More Articles on Quality:
75 Statistics on the Wait for Care in Metropolitan Areas