Two Large Clinical Trials Find a Highly Effective Method to Select Appropriate Antibiotics for Patients Hospitalized With Abdominal or Skin and Soft Tissue Infection
Computerized alerts tailored to each patient help identify which antibiotic is best suited to treat patients hospitalized with common infections in two 92-hospital trials.
Antibiotic resistance is a major public health threat. It makes infections harder to treat and adds additional risk to surgery and other procedures. The Centers for Disease Control & Prevention estimates that more than 2.8 million infections with antibiotic-resistant bacteria occur in the
The two newly published studies, the INSPIRE Abdominal and Skin & Soft Tissue Trials, involved more than 316,000 patients in 92 HCA Healthcare hospitals. In half of the hospitals, clinicians were given computerized alerts with information about the best antibiotic match for an individual patient with abdominal or skin/soft tissue infection at the moment antibiotics were ordered. This resulted in a
The alerts were informed by patient characteristics from the electronic medical record as well as hospital-specific data to determine the patient’s risk for an antibiotic-resistant infection. Assessment of risk was based on pre-trial data from more than 420,000 HCA Healthcare patients with abdominal or skin and soft tissue infections. Physicians treating patients with a low risk for antibiotic-resistant bacteria were prompted to switch to standard-spectrum antibiotics if they initially selected unnecessary broad-spectrum drugs.
This investigative team previously published results from another set of two trials that improved antibiotic selection in patients with pneumonia and urinary tract infection. Together, these INSPIRE studies represent the four most common infections requiring hospitalization that drive overuse of broad-spectrum antibiotics and show the value of harnessing electronic health data to improve best practice. These findings have the potential to improve care for millions of patients hospitalized with infections in the
Physicians often choose extended-spectrum antibiotics that treat a very broad range of bacteria out of concern that their patients could be infected by antibiotic-resistant bacteria. The INSPIRE Trials identified patients with low risk for antibiotic resistance and prompted physicians to consider changing to standard-spectrum antibiotics if extended-spectrum antibiotics were being ordered. The trials found that giving physicians real-time information about their patients’ risk for antibiotic resistance worked significantly better to align antibiotic prescribing with current Infectious Diseases Society of America treatment recommendations.
“The right information at the right time can improve physician antibiotic selection,” said Shruti Gohil, MD, MPH, Associate Professor in the Division of Infectious Diseases at the University of
The 92 participating community hospitals spanned 15 states and are part of HCA Healthcare, one of the largest private inpatient healthcare systems in the
“HCA Healthcare is committed to using our scale and data ecosystem to answer important clinical questions that benefit patients,” said Kenneth Sands, MD, MPH, chief epidemiologist at HCA Healthcare. “The ability to identify patients at low-risk for antibiotic resistance to limit the overall use of wide-spectrum antibiotics can help hospitals improve antibiotic stewardship efforts and curb resistance.”
The studies were conducted through a longstanding scientific collaboration including HCA Healthcare, Harvard Pilgrim Health Care Institute, and the University of
Additional information about the INSPIRE Abdominal and Skin/Soft Tissue Trials can be found at:
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UCI Health, one of California’s largest academic health systems, is the clinical enterprise of the University of
About Harvard Pilgrim Healthcare Institute’s Department of Population Medicine
The Harvard Pilgrim Health Care Institute's Department of Population Medicine is a unique collaboration between Harvard Pilgrim Health Care and Harvard Medical School. Created in 1992, it is the first appointing medical school department in
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