ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2019
Patient Co-Morbidity and Functional Status Influence the Occurrence of Hospital Acquired Conditions More Strongly than Hospital Factors.
Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Inappropriate antibiotic utilization in hospitalized patients in Ethiopia: A systematic review and meta-analysis.Exploratory research in clinical and social pharmacy · 2026Review
- Observational
- Article
- Hospital-Acquired Condition Rate of Admitting Facility Does Not Predict Mortality in Traumatically Injured Patients.Cureus · 2022Article
- Model Testing of the Factors That Influence Performance of Function Focused Care and Function Among Assisted Living Residents.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2022Article
- Catheter-Associated Urinary Tract Infections among Trauma Patients: Poor Quality of Care or Marker of Effective Rescue?Surgical infections · 2020Article
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Authors and funding
3 authors.
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Abstract
backgroundNever events (NE) and hospital-acquired conditions (HAC) are used by Medicare/Medicaid Services to define hospital performance measures that dictate payments/penalties. Pre-op patient comorbidity may significantly influence HAC development.
methodsWe studied 8,118,615 patients from the NIS database (2002-2012) who underwent upper/lower gastrointestinal and/or hepatopancreatobiliary procedures. Multivariate analysis, using logistic regression, was used to identify HAC and NE risk factors.
resultsA total of 63,762 (0.8%) HAC events and 1645 (0.02%) NE were reported. A total of 99.9% of NE were retained foreign body. Most frequent HAC were: pressure ulcer stage III/IV (36.7%), poor glycemic control (26.9%), vascular catheter-associated infection (20.3%), and catheter-associated urinary tract infection (13.7%). Factors correlating with HAC included: open surgical approach (AOR: 1.25, P < 0.01), high-risk patients with significant comorbidity [severe loss function pre-op (AOR: 6.65, P < 0.01), diabetes with complications (AOR: 2.40, P < 0.01), paraplegia (AOR: 3.14, P < 0.01), metastatic cancer (AOR: 1.30, P < 0.01), age > 70 (AOR: 1.09, P < 0.01)], hospital factors [small vs. large (AOR: 1.07, P < 0.01), non-teaching vs teaching (AOR: 1.10, P < 0.01), private profit vs. non-profit/governmental (AOR: 1.20, P < 0.01)], severe preoperative mortality risk (AOR: 3.48, P < 0.01), and non-elective admission (AOR: 1.38, P < 0.01). HAC were associated with increased: hospitalization length (21 vs 7 days, P < 0.01), hospital charges ($164,803 vs $54,858, P < 0.01), and mortality (8 vs 3%, AOR: 1.14, P < 0.01).
conclusionHAC incidence was highest among patients with severe comorbid conditions. While small, non-teaching, and for-profit hospitals had increased HAC, the strongest HAC risks were non-modifiable patient factors (preoperative loss function, diabetes, paraplegia, advanced age, etc.). This data questions the validity of using HAC as hospital performance measures, since hospitals caring for these complex patients would be unduly penalized. CMS should consider patient comorbidity as a crucial factor influencing HAC development.
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