National Healthcare Quality and Disparities Report
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
26 to 31 of 31 Research Studies DisplayedXavier Moore J, Donnelly JP, Griffin R
Community characteristics and regional variations in sepsis.
This study aimed to determine the influence of community characteristics upon regional variations in sepsis incidence and case fatality. The study concluded that regional variations in sepsis incidence may be partly explained by community poverty. Other community characteristics do not explain regional variations in sepsis incidence or case fatality.
AHRQ-funded; HS013852.
Citation: Xavier Moore J, Donnelly JP, Griffin R .
Community characteristics and regional variations in sepsis.
Int J Epidemiol 2017 Oct 1;46(5):1607-17. doi: 10.1093/ije/dyx099..
Keywords: Disparities, Low-Income, Mortality, Sepsis, Social Determinants of Health
Donnelly JP, Locke JE, MacLennan PA
Inpatient mortality among solid organ transplant recipients hospitalized for sepsis and severe sepsis.
The researchers investigated the impact of solid organ transplant (SOT) on outcomes following sepsis. They found that among patients hospitalized for severe sepsis or sepsis, those with SOT had lower inpatient mortality than those without SOT.
AHRQ-funded; HS013852.
Citation: Donnelly JP, Locke JE, MacLennan PA .
Inpatient mortality among solid organ transplant recipients hospitalized for sepsis and severe sepsis.
Clin Infect Dis 2016 Jul 15;63(2):186-94. doi: 10.1093/cid/ciw295.
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Keywords: Transplantation, Mortality, Sepsis, Hospitalization, Patient-Centered Outcomes Research
Moore JX, Donnelly JP, Griffin R
Defining sepsis mortality clusters in the United States.
The researchers aimed to identify US counties with high sepsis mortality and to assess the community characteristics associated with increased sepsis mortality. They found that sepsis mortality is higher in the southern United States and that regions of high sepsis mortality are characterized by lower education, income, employment, and insurance coverage.
AHRQ-funded; HS013852.
Citation: Moore JX, Donnelly JP, Griffin R .
Defining sepsis mortality clusters in the United States.
Crit Care Med 2016 Jul;44(7):1380-7. doi: 10.1097/ccm.0000000000001665.
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Keywords: Mortality, Sepsis, Social Determinants of Health
Taylor RA, Pare JR, Venkatesh AK
Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data-driven, machine learning approach.
In this proof-of-concept study, a local, big data-driven, machine learning approach is compared to existing clinical decision rules (CDRs) and traditional analytic methods using the prediction of sepsis in-hospital mortality as the use case. It concluded that this approach outperformed existing CDRs as well as traditional analytic techniques for predicting in-hospital mortality of ED patients with sepsis.
AHRQ-funded; HS021271.
Citation: Taylor RA, Pare JR, Venkatesh AK .
Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data-driven, machine learning approach.
Acad Emerg Med 2016 Mar;23(3):269-78. doi: 10.1111/acem.12876.
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Keywords: Emergency Medical Services (EMS), Mortality, Clinical Decision Support (CDS), Sepsis, Health Information Technology (HIT)
Kramer RD, Cooke CR, Liu V
Variation in the contents of sepsis bundles and quality measures. a systematic review.
The researchers sought to determine the degree of agreement on component elements of sepsis bundles and the associated timing goals for completion of each element. They also evaluated the amount of variation between metrics associated with bundles. They found that no bundle included metrics evaluating timeliness or completeness of sepsis recognition. Also, there was a lack of consensus on component elements and timing goals across highly recognized sepsis bundles.
AHRQ-funded; HS020672.
Citation: Kramer RD, Cooke CR, Liu V .
Variation in the contents of sepsis bundles and quality measures. a systematic review.
Ann Am Thorac Soc 2015 Nov;12(11):1676-84. doi: 10.1513/AnnalsATS.201503-163BC.
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Keywords: Sepsis, Mortality, Guidelines, Antimicrobial Stewardship, Outcomes
Wang HE, Donnelly JP, Shapiro NI
Hospital variations in severe sepsis mortality.
The authors characterized variations in severe sepsis mortality between hospitals in the United States. They used hospital discharge data from the University HealthSystem Consortium and found variations in institutional severe sepsis observed mortality rates and observed-to-expected mortality ratios.
AHRQ-funded; HS019465; HS013852.
Citation: Wang HE, Donnelly JP, Shapiro NI .
Hospital variations in severe sepsis mortality.
Am J Med Qual 2015 Jul-Aug;30(4):328-36. doi: 10.1177/1062860614534461.
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Keywords: Data, Hospitals, Mortality, Patient-Centered Outcomes Research, Sepsis