National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Cardiovascular Conditions (1)
- Central Line-Associated Bloodstream Infections (CLABSI) (1)
- Elderly (1)
- Healthcare-Associated Infections (HAIs) (3)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Heart Disease and Health (1)
- Hospitalization (1)
- Hospital Readmissions (1)
- (-) Hospitals (6)
- Injuries and Wounds (1)
- Medicare (1)
- Mortality (1)
- Patient Safety (3)
- (-) Provider Performance (6)
- Quality Indicators (QIs) (1)
- Quality Measures (2)
- Quality of Care (3)
- 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 DisplayedMasnick M, Morgan DJ, Sorkin JD
Can national healthcare-associated infections (HAIs) data differentiate hospitals in the United States?
This study was designed to determine whether patients using the Centers for Medicare and Medicaid Services (CMS) Hospital Compare website can use nationally reported healthcare-associated infection (HAI) data to differentiate hospitals. The authors concluded that HAI data generally are reported by enough hospitals to meet minimal criteria for useful comparisons in many geographic locations, though this varies by type of HAI.
AHRQ-funded; HS018111.
Citation: Masnick M, Morgan DJ, Sorkin JD .
Can national healthcare-associated infections (HAIs) data differentiate hospitals in the United States?
Infect Control Hosp Epidemiol 2017 Oct;38(10):1167-71. doi: 10.1017/ice.2017.179..
Keywords: Quality of Care, Healthcare-Associated Infections (HAIs), Hospitals, Provider Performance, Quality Measures
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
DeLancey JO, Softcheck J, Chung JW
Associations between hospital characteristics, measure reporting, and the Centers for Medicare & Medicaid Services Overall Hospital Quality Star Ratings.
This study evaluated associations between hospital characteristics, number and types of measures reported, and the star ratings. Of 3,591 hospitals receiving a star rating,4 or 5 stars were awarded to 15.8 percent of major teaching hospitals, 18.8 percent of other teaching hospitals, 30.2 percent of community hospitals, 33.3 percent of critical access hospitals, and 87.3 percent of specialty hospitals.
AHRQ-funded; HS021857.
Citation: DeLancey JO, Softcheck J, Chung JW .
Associations between hospital characteristics, measure reporting, and the Centers for Medicare & Medicaid Services Overall Hospital Quality Star Ratings.
JAMA 2017 May 16;317(19):2015-17. doi: 10.1001/jama.2017.3148.
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Keywords: Hospitals, Quality of Care, Quality Measures, Provider Performance, Patient Safety
Davis JD, Olsen MA, Bommarito K
All-payer analysis of heart failure hospitalization 30-day readmission: comorbidities matter.
In this study, the researchers investigated readmission characteristics and the magnitude of 30-day hospital readmissions after hospital discharge for heart failure using the Healthcare Cost and Utilization Project State Inpatient Databases (SID). They found in this large all-payer cohort, ∼70% of 30-day readmissions were for non-heart failure causes, and the median time to readmission was 12 days.
AHRQ-funded; HS019455.
Citation: Davis JD, Olsen MA, Bommarito K .
All-payer analysis of heart failure hospitalization 30-day readmission: comorbidities matter.
Am J Med 2017 Jan;130(1):93.e9-93.e28. doi: 10.1016/j.amjmed.2016.07.030..
Keywords: Cardiovascular Conditions, Heart Disease and Health, Healthcare Cost and Utilization Project (HCUP), Hospital Readmissions, Hospitalization, Hospitals, Provider Performance
George EI, Ročková V, Rosenbaum PR
Mortality rate estimation and standardization for public reporting: Medicare’s Hospital Compare.
The authors calibrated Bayesian recommendation systems by checking, out of sample, whether predictions aggregate to give correct general advice derived from another sample. Their process leads to substantial revisions in the Hospital Compare model for acute myocardial infarction mortality. They found that indirect standardization, as currently used by Hospital Compare, fails to adequately control for differences in patient risk factors and systematically underestimates mortality rates at the low volume hospitals. They proposed direct standardization instead.
AHRQ-funded; HS021854.
Citation: George EI, Ročková V, Rosenbaum PR .
Mortality rate estimation and standardization for public reporting: Medicare’s Hospital Compare.
Journal of the American Statistical Association 2017;112(519):933-47. doi: 10.1080/01621459.2016.1276021.
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Keywords: Hospitals, Medicare, Mortality, Provider Performance
Calderwood MS, Kleinman K, Huang SS
Surgical site infections: volume-outcome relationship and year-to-year stability of performance rankings.
The researchers evaluated the volume-outcome relationship as well as the year-to-year stability of performance rankings following coronary artery bypass graft (CABG) surgery and hip arthroplasty. They concluded that aggregate surgical site infection risk is highest in hospitals with low annual procedure volumes. Even for higher volume hospitals, year-to-year random variation makes past experience an unreliable estimator of current performance.
AHRQ-funded; HS021424.
Citation: Calderwood MS, Kleinman K, Huang SS .
Surgical site infections: volume-outcome relationship and year-to-year stability of performance rankings.
Med Care 2017 Jan;55(1):79-85. doi: 10.1097/mlr.0000000000000620.
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Keywords: Surgery, Healthcare-Associated Infections (HAIs), Adverse Events, Injuries and Wounds, Hospitals, Provider Performance, Quality Indicators (QIs), Quality of Care, Patient Safety, Elderly