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.
Results
1 to 4 of 4 Research Studies DisplayedWong SL, Revels SL, Yin H
Variation in hospital mortality rates with inpatient cancer surgery.
The purpose of this national study was to elucidate clinical mechanisms underlying variation in hospital mortality with major cancer surgery. It found that case-fatality rates among patients with complications at high-mortality hospitals were approximately twice as high as at low-mortality hospitals. This study implicates failure to rescue as the major reason for differences in hospital mortality rates with major cancer surgery.
AHRQ-funded; HS020937.
Citation: Wong SL, Revels SL, Yin H .
Variation in hospital mortality rates with inpatient cancer surgery.
Ann Surg 2015 Apr;261(4):632-6. doi: 10.1097/sla.0000000000000690..
Keywords: Mortality, Surgery, Cancer, Patient Safety, Quality of Care
Liu S, Mazur T, Li H
SU-F-T-275: A correlation study on 3D fluence-based QA and 2D dose measurement-based QA.
The aim of this paper was to demonstrate the feasibility and creditability of computing and verifying 3D fluencies to assure IMRT and VMAT treatment deliveries, by correlating the passing rates of the 3D fluence-based QA (P(alpha)) to the passing rates of 2D dose measurement based QA (P(Dm)). It concluded that the demonstrated correlations improve the creditability of using 3D fluence-based QA for assuring treatment deliveries for IMRT/VMAT plans.
AHRQ-funded; HS022888.
Citation: Liu S, Mazur T, Li H .
SU-F-T-275: A correlation study on 3D fluence-based QA and 2D dose measurement-based QA.
Med Phys 2016 Jun;43(6 Part 17):3525-26. doi: 10.1118/1.4956415.
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Keywords: Cancer, Healthcare Delivery, Treatments, Patient Safety, Health Information Technology (HIT)
Liu S, Wu Y, Chang X
TU-FG-201-03: Automatic pre-delivery verification using statistical analysis of consistencies in treatment plan parameters by the treatment site and modality.
A novel computer software system, namely APDV (Automatic Pre-Delivery Verification), was developed for verifying patient treatment plan parameters right prior to treatment deliveries in order to automatically detect and prevent catastrophic errors. This study implemented APDV as a stand-alone program to ensure required real time performance. It concluded that APDV could be useful in detecting and preventing catastrophic errors immediately before treatment deliveries.
AHRQ-funded; HS022888.
Citation: Liu S, Wu Y, Chang X .
TU-FG-201-03: Automatic pre-delivery verification using statistical analysis of consistencies in treatment plan parameters by the treatment site and modality.
Med Phys 2016 Jun;43(6 Part 35):3753. doi: 10.1118/1.4957526.
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Keywords: Cancer, Healthcare Delivery, Treatments, Patient Safety, Health Information Technology (HIT)
Yang D, Wooten HO, Green O
A software tool to automatically assure and report daily treatment deliveries by a Cobalt-60 radiation therapy device.
The researchers developed a method for verification of treatment delivery after each treatment fraction in order to detect and correct errors, and they developed a comprehensive daily report. The end result has been integrated into a commercial version of the treatment delivery system, and it has been in clinical use for over one year.
AHRQ-funded; HS022888.
Citation: Yang D, Wooten HO, Green O .
A software tool to automatically assure and report daily treatment deliveries by a Cobalt-60 radiation therapy device.
J Appl Clin Med Phys 2016 May 8;17(3):6001.
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Keywords: Treatments, Cancer, Quality of Care, Patient Safety