National Healthcare Quality and Disparities Report
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedPak TR, Young J, McKenna CS
Risk of misleading conclusions in observational studies of time-to-antibiotics and mortality in suspected sepsis.
Important studies indicate that every hour of sepsis that elapses until antibiotics are administered increases mortality. The researchers of this study found determined that analyses in the influential studies often adjusted for limited covariates, included patients with long delays until antibiotic administration, combined sepsis and septic shock, and used linear models presuming each hour of delay has equal impact on the sepsis and the patient. The purpose of this study was to assess the effect of the analytic decisions on the relationships between time-to-antibiotics and mortality. The researchers retrospectively identified 104,248 adults admitted from 2015-2022 to five hospitals with suspected infection. The patients included 25,990 with suspected septic shock and 23,619 with sepsis without shock. The study found that changing covariates, maximum time-to-antibiotics, and severity stratification altered the magnitude, direction, and significance of observed relationships between time-to-antibiotics and mortality. In a fully adjusted model of patients treated within 6 hours, every hour related with higher mortality for septic shock, but not sepsis without shock or suspected infection alone. Modeling every hour independently confirmed that every hour delay was related with greater mortality for septic shock, but only delays of greater than 6 hours were related with greater mortality for sepsis without shock.
AHRQ-funded; HS027170.
Citation: Pak TR, Young J, McKenna CS .
Risk of misleading conclusions in observational studies of time-to-antibiotics and mortality in suspected sepsis.
Clin Infect Dis 2023 Nov 30; 77(11):1534-43. doi: 10.1093/cid/ciad450..
Keywords: Antibiotics, Medication, Sepsis, Mortality, Quality of Care
Chen VW, Chidi AP, Dong Y
Risk-adjusted cumulative sum for early detection of hospitals with excess perioperative mortality.
This study’s goal was to compare the risk-adjusted cumulative sum (CUSUM) with episodic evaluation for early detection of hospitals with excess perioperative mortality. The study cohort included 697,566 patients treated at 104 Veterans’ Affairs hospitals across 24 quarters with a mean age of 60.9 years and 91.4% male. These patients underwent a noncardiac operation at a Veterans Affairs hospital, had a record in the Veterans Affairs Surgical Quality Improvement Program (January 1, 2011, through December 31, 2016), and were aged 18 years or older. For each hospital, the median number of quarters detected with observed to expected ratios, at least 1 CUSUM signal, and more than 1 CUSUM signal was 2 quarters (IQR, 1-4 quarters), 8 quarters (IQR, 4-11 quarters), and 3 quarters (IQR, 1-4 quarters). Outlier hospitals were identified 33.3% of the time (830 quarters) with at least 1 CUSUM signal within a quarter, 12.5% (311 quarters) with more than 1 CUSUM signal, and 11.0% (274 quarters) with observed to expected ratios at the end of the quarter. The CUSUM detection occurred a median of 49 days (IQR, 25-63 days) before observed to expected ratio reporting (1 signal, 35 days [IQR, 17-54 days]; 2 signals, 49 days [IQR, 26-61 days]; 3 signals, 58 days [IQR, 44-69 days]; ≥4 signals, 49 days [IQR, 42-69 days]. Of 274 hospital quarters detected with observed to expected ratios, 72.6% were concurrently detected by at least 1 CUSUM signal vs 42.7% by more than 1 CUSUM signal. There was a dose-response relationship between the number of CUSUM signals in a quarter and the median observed to expected ratio (0 signals, 0.63; 1 signal, 1.28; 2 signals, 1.58; 3 signals, 2.08; ≥4 signals, 2.49).
AHRQ-funded; HS013853.
Citation: Chen VW, Chidi AP, Dong Y .
Risk-adjusted cumulative sum for early detection of hospitals with excess perioperative mortality.
JAMA Surg 2023 Nov; 158(11):1176-83. doi: 10.1001/jamasurg.2023.3673..
Keywords: Quality Improvement, Surgery, Hospitals, Patient Safety, Mortality, Quality of Care
Diaz A, Lindau ST, Obeng-Gyasi S
Association of hospital quality and neighborhood deprivation with mortality after inpatient surgery among Medicare beneficiaries.
The purpose of this cross-sectional study was to compare postoperative mortality among Medicare beneficiaries based on the level of neighborhood deprivation where they live and the hospital quality where they received care. The researchers examined outcomes among Medicare beneficiaries undergoing one of five common surgical procedures (colon resection, coronary artery bypass, cholecystectomy, appendectomy, or incisional hernia repair) between 2014 and 2018. Hospital quality was assigned using the Centers for Medicare & Medicaid Services Star Rating. Each beneficiary's neighborhood was identified at the census tract level and sorted into quintiles based on its Area Deprivation Index score. A risk matrix across hospital quality and neighborhood deprivation was created to determine the relative contribution of each to mortality after surgery. Data were analyzed from June 1 to December 31, 2021. The study included 1,898,829 Medicare beneficiaries. Patients from all neighborhood deprivation group quintiles sought care at hospitals across hospital quality levels. Thirty-day risk-adjusted mortality varied across high- and low-quality hospitals and across the least and most deprived neighborhoods. When combined, comparing patients from the least deprived neighborhoods going to high-quality hospitals vs patients from the most deprived neighborhoods going to low-quality hospitals, the variation increased further. The researchers concluded that both a patient's neighborhood and the hospital where they received treatment were associated with the risk of death after commonly performed inpatient surgical procedures. The associations of these factors on mortality may be additive. Efforts to address variation in postoperative mortality should include both hospital quality improvement and addressing drivers of neighborhood deprivation.
AHRQ-funded; HS028606.
Citation: Diaz A, Lindau ST, Obeng-Gyasi S .
Association of hospital quality and neighborhood deprivation with mortality after inpatient surgery among Medicare beneficiaries.
JAMA Netw Open 2023 Jan; 6(1):e2253620. doi: 10.1001/jamanetworkopen.2022.53620..
Keywords: Hospitals, Quality of Care, Surgery, Mortality, Social Determinants of Health