National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- (-) Central Line-Associated Bloodstream Infections (CLABSI) (6)
- Comprehensive Unit-based Safety Program (CUSP) (1)
- Data (1)
- Decision Making (1)
- Healthcare-Associated Infections (HAIs) (5)
- Hospitals (3)
- Patient Safety (5)
- Prevention (1)
- Provider Performance (2)
- Quality of Care (1)
- Risk (2)
- Social Media (1)
- Surgery (1)
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
1 to 6 of 6 Research Studies DisplayedHerc E, Patel P, Washer LL
A model to predict central-line-associated bloodstream infection among patients with peripherally inserted central catheters: the MPC Score.
Peripherally inserted central catheters (PICCs) are associated with central-line-associated bloodstream infections (CLABSIs). However, no tools to predict risk of PICC-CLABSI have been developed. The purpose of this study is to operationalize or prioritize CLABSI risk factors when making decisions regarding the use of PICCs using a risk model to estimate an individual's risk of PICC-CLABSI prior to device placement.
AHRQ-funded; HS022835.
Citation: Herc E, Patel P, Washer LL .
A model to predict central-line-associated bloodstream infection among patients with peripherally inserted central catheters: the MPC Score.
Infect Control Hosp Epidemiol 2017 Oct;38(10):1155-66. doi: 10.1017/ice.2017.167..
Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Decision Making, Healthcare-Associated Infections (HAIs), Patient Safety
Jackson SS, Leekha S, Magder LS
The effect of adding comorbidities to current Centers for Disease Control and Prevention central-line-associated bloodstream infection risk-adjustment methodology.
The authors of this study hypothesized that risk adjustment would be improved by including patient demographics and comorbidities from electronically available hospital discharge codes to current Centers for Disease Control and Prevention central-line-associated bloodstream infection risk-adjustment methodology. They concluded that their risk-adjustment model for CLABSI using electronically available comorbidities demonstrated better discrimination than did the CDC model.
AHRQ-funded; HS022291.
Citation: Jackson SS, Leekha S, Magder LS .
The effect of adding comorbidities to current Centers for Disease Control and Prevention central-line-associated bloodstream infection risk-adjustment methodology.
Infect Control Hosp Epidemiol 2017 Sep;38(9):1019-24. doi: 10.1017/ice.2017.129..
Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Hospitals, Patient Safety, Risk
Smith SN, Reichert HA, Ameling JM
Dissecting Leapfrog: how well do Leapfrog safe practices scores correlate with Hospital Compare ratings and penalties, and how much do they matter?
Voluntary Leapfrog Safe Practices Score (SPS) measures were among the first public reports of hospital performance. Recently, Medicare's Hospital Compare website has reported compulsory measures. Leapfrog's Hospital Safety Score (HSS) grades incorporate SPS and Medicare measures. The researchers evaluated associations between Leapfrog SPS and Medicare measures. They found that voluntary Leapfrog SPS measures skew toward positive self-report and bear little association with compulsory Medicare outcomes and penalties.
AHRQ-funded; HS019767; HS024385; HS018334.
Citation: Smith SN, Reichert HA, Ameling JM .
Dissecting Leapfrog: how well do Leapfrog safe practices scores correlate with Hospital Compare ratings and penalties, and how much do they matter?
Med Care 2017 Jun;55(6):606-14. doi: 10.1097/mlr.0000000000000716.
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Keywords: Patient Safety, Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Hospitals, Provider Performance
Harris AD, Pineles L, Anderson D
Which comorbid conditions should we be analyzing as risk factors for healthcare-associated infections?
This study sought to determine which comorbid conditions are considered causally related to central-line associated bloodstream infection (CLABSI) and surgical-site infection (SSI) based on expert consensus. Its results have produced a list of comorbid conditions that should be analyzed as risk factors for and further explored for risk adjustment of CLABSI and SSI.
AHRQ-funded; HS022291.
Citation: Harris AD, Pineles L, Anderson D .
Which comorbid conditions should we be analyzing as risk factors for healthcare-associated infections?
Infect Control Hosp Epidemiol 2017 Apr;38(4):449-54. doi: 10.1017/ice.2016.314.
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Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Patient Safety, Risk, Surgery
Meddings J, Reichert H, Greene MT
Evaluation of the association between Hospital Survey on Patient Safety Culture (HSOPS) measures and catheter-associated infections: results of two national collaboratives.
This study examined the association between hospital units' results for the Hospital Survey on Patient Safety Culture (HSOPS) and catheter-associated infection rates. It found no association between results of the HSOPS and catheter-associated infection rates when measured at baseline and postintervention in two successful large national collaboratives focused on prevention of central-line-associated bloodstream infection (CLABSI) and catheter-associated urinary tract infection (CAUTI).
AHRQ-funded; 290201000025I; 29032001T; HS019767.
Citation: Meddings J, Reichert H, Greene MT .
Evaluation of the association between Hospital Survey on Patient Safety Culture (HSOPS) measures and catheter-associated infections: results of two national collaboratives.
BMJ Qual Saf 2017 Mar;26(3):226-35. doi: 10.1136/bmjqs-2015-005012.
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Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Central Line-Associated Bloodstream Infections (CLABSI), Comprehensive Unit-based Safety Program (CUSP), Healthcare-Associated Infections (HAIs), Hospitals, Patient Safety, Prevention
Govindan S, Chopra V, Iwashyna TJ
Do clinicians understand quality metric data? An evaluation in a Twitter-derived sample.
The researchers assessed clinician comprehension of central line-associated blood stream infection (CLABSI) quality metric data. It found that the mean percentage of correct answers was 61 percent. Overall, doctor performance was better than performance by nurses and other respondents. In basic numeracy, mean percent correct was 82 percent. For risk-adjustment numeracy, the mean percent correct was 70 percent.
AHRQ-funded; HS022835.
Citation: Govindan S, Chopra V, Iwashyna TJ .
Do clinicians understand quality metric data? An evaluation in a Twitter-derived sample.
J Hosp Med 2017 Jan;12(1):18-22.
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Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Data, Quality of Care, Provider Performance, Social Media