Hospital-Acquired Condition Rate of Admitting Facility Does Not Predict Mortality in Traumatically Injured Patients

• Published in: Curēus (Palo Alto, CA) Vol. 14; no. 4; p. e23908
• Main Authors: Horn, Christopher B, O'Malley, Joseph F, Carey, Evan P, Culhane, John T
• Format: Journal Article
• Language: English
• Published: United States Cureus Inc 07.04.2022; Cureus
• Subjects: Catheters; Dementia; Diabetes; Drug abuse; Health Policy; Heart attacks; Hospitals; Hypertension; Length of stay; Medicaid; Medicare; Mental disorders; Mortality; Patients; Pulmonary embolisms; Quality Improvement; Respiratory diseases; Standard deviation; Surgical site infections; Thrombosis; Trauma; Ulcers; Urinary tract diseases; Urinary tract infections; Urogenital system; Variables; Ventilators; trauma; central line-associated infections (clabsi); hospital acquired conditions; hap; hospital aquired infection; hospital quality; catheters; cauti; hospital-acquired conditions (hacs); cauti prevention
• ISSN: 2168-8184; 2168-8184
• DOI: 10.7759/cureus.23908

Hospital-acquired conditions (HACs) are increasingly scrutinized as markers of hospital quality and are subject to increasing regulatory and financial pressure. Despite this, there is little evidence that HACs are associated with poor outcomes in traumatically injured patients, or that lower HAC rates are a marker of a better quality of care. Our study compares mortality rates in hospitals with high versus low rates of HAC. Our hypothesis is that high HAC trauma centers have higher mortality. The latest editions of the National Trauma Data Bank (NTDB) containing facility identification keys (2011 to 2015) were combined. The HACs targeted by the Centers for Medicare and Medicaid Services (CMS) Hospital-Acquired Condition Reduction Program (HACRP) were identified. Hospital-acquired conditions per 1000 patient-days were calculated for individual trauma centers, and these facilities were stratified into quartiles by HAC rate. Propensity score matching was used to match patients admitted to hospitals in the highest versus the lowest quartiles. Complete data was available for 3,510,818 patients; 58,296 (1.67%) developed HACs recorded in the NTDB. Good performing centers had a mean of 0.84 HACs per 1000 patient-days compared to 7.82 at poor-performing centers. After propensity matching, patients treated at good performing centers had higher mortality of 1.22% versus 1.02% at poor-performing centers (p<0.001). The facility characteristics most over-represented in the poor performing quartile were: University (45.19% vs 10.59%, p<0.001), American College of Surgeons (ACS) Level I Status (31.85% vs 2.24%, p<0.001), and bed size > 600 (28.15% vs 5.5%, p<0.001). Injured patients treated at poor-performing centers (high HAC) have reduced mortality relative to good performing centers (low HAC). Large academic centers were overwhelmingly represented in the poor-performing quartile. Hospital-acquired conditions may be markers of a non-modifiable underlying patient and facility characteristics rather than markers of poor hospital quality.