National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
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 DisplayedBlay E, Huang R, Chung JW
Evaluating the impact of the venous thromboembolism outcome measure on the PSI 90 composite quality metric.
Patient Safety Indicator (PSI) 90 is a composite measure widely used in federal pay-for-performance and public reporting programs. A component metric of PSI 90, venous thromboembolism (VTE) rate, has been shown to be subject to surveillance bias and not a valid measure for hospital quality comparisons. A study was conducted to examine how hospital PSI 90 scores would change if the VTE measure were removed from calculation of this composite measure.
AHRQ-funded; HS021857.
Citation: Blay E, Huang R, Chung JW .
Evaluating the impact of the venous thromboembolism outcome measure on the PSI 90 composite quality metric.
Jt Comm J Qual Patient Saf 2019 Mar;45(3):148-55. doi: 10.1016/j.jcjq.2018.08.009..
Keywords: Blood Clots, Patient Safety, Quality Measures, Quality Indicators (QIs), Quality of Care
Lau BD, Streiff MB, Pronovost PJ
Venous thromboembolism quality measures fail to accurately measure quality.
This study reviewed a large number of international quality measures for venous thromboembolism (VTE) prevention. Researchers discovered that none of them accurately characterize VTE prevention methods or outcomes in hospitalized patients. They describe an ideal, defect-free VTE prevention process.
AHRQ-funded; HS024547.
Citation: Lau BD, Streiff MB, Pronovost PJ .
Venous thromboembolism quality measures fail to accurately measure quality.
Circulation 2018 Mar 20;137(12):1278-84. doi: 10.1161/circulationaha.116.026897..
Keywords: Blood Clots, Hospitalization, Prevention, Quality Indicators (QIs), Quality Measures
Lau BD, Haut ER, Hobson DB
ICD-9 code-based venous thromboembolism performance targets fail to measure up.
Suboptimal prevention practices have prompted payers to consider hospital-associated Venous thromboembolism (VTE) as a potentially preventable condition for which financial incentives or penalties exist to drive practice improvement. The authors reviewed a subset of hospital-associated VTE that were identified by ICD-9 codes used by a state-run pay-for-performance quality improvement program and discuss their findings.
AHRQ-funded; HS017952.
Citation: Lau BD, Haut ER, Hobson DB .
ICD-9 code-based venous thromboembolism performance targets fail to measure up.
Am J Med Qual 2016 Sep;31(5):448-53. doi: 10.1177/1062860615583547.
.
.
Keywords: Healthcare-Associated Infections (HAIs), Quality Indicators (QIs), Prevention, Hospitals, Quality Improvement, Blood Clots, Payment, Provider Performance
Chung JW, Ju MH, Kinnier CV
Postoperative venous thromboembolism outcomes measure: analytic exploration of potential misclassification of hospital quality due to surveillance bias.
The authors discuss problems associated with AHRQ’s Patient Safety Indicator (PS112), Postoperative Venous Thromboembolism such as identifying truly poor-quality hospitals from those that only seem to be poor-quality because of hospital-to-hospital variations in imaging rates for venous thromboembolism (VTE). They call for the development of administrative codes that enable reliable identification and exclusion of sub-clinical VTE from the measure numerator.
AHRQ-funded; HS021857
Citation: Chung JW, Ju MH, Kinnier CV .
Postoperative venous thromboembolism outcomes measure: analytic exploration of potential misclassification of hospital quality due to surveillance bias.
Ann Surg. 2015 Mar;261(3):443-4. doi: 10.1097/sla.0000000000000850..
Keywords: Quality Indicators (QIs), Blood Clots, Quality of Care, Adverse Events