National Healthcare Quality and Disparities Report
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Topics
- Adverse Events (1)
- Catheter-Associated Urinary Tract Infection (CAUTI) (2)
- Central Line-Associated Bloodstream Infections (CLABSI) (2)
- Comprehensive Unit-based Safety Program (CUSP) (1)
- Disparities (1)
- Elderly (1)
- (-) Healthcare-Associated Infections (HAIs) (8)
- Hospitals (4)
- Infectious Diseases (1)
- Injuries and Wounds (1)
- Long-Term Care (1)
- Nursing Homes (1)
- Patient Safety (2)
- Pneumonia (1)
- Pressure Ulcers (1)
- Provider (1)
- Provider Performance (3)
- Quality Improvement (2)
- Quality Indicators (QIs) (1)
- (-) Quality Measures (8)
- Quality of Care (5)
- Racial and Ethnic Minorities (1)
- Surgery (2)
- Urinary Tract Infection (UTI) (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 8 of 8 Research Studies DisplayedSanghavi P, Chen Z
Underreporting of quality measures and associated facility characteristics and racial disparities in US nursing home ratings.
The purpose of this study was to evaluate the relationship between nursing home characteristics and reporting of 2 of 3 specific clinical outcomes reported by the Nursing Home Care Compare (NHCC) website: major injury falls and pressure ulcers. The researchers of this quality improvement study utilized hospitalization data for all Medicare fee-for-service beneficiaries between January 1, 2011, and December 31, 2017. Hospital admission claims for major injury falls and pressure ulcers were linked with facility-reported evaluations at the nursing home resident level. For each linked hospital claim, it was determined whether the nursing home had reported the event and rates of reporting were computed. To evaluate whether nursing homes reported similarly on both measures, the researchers estimated the relationship between reporting of major injury falls and pressure ulcers within a nursing home, and explored racial and ethnic disparities that could otherwise explain the associations. The study sample included 13,179 nursing homes where 131,000 residents experienced major injury fall or pressure ulcer hospitalizations. Of the 98,669 major injury fall hospitalizations, 60.0% were reported, and of the 39,894 stage 3 or 4 pressure ulcer hospitalizations, 67.7% were reported. Underreporting for both conditions was pervasive, with 69.9% and 71.7% of nursing homes having reporting rates less than 80% for major injury fall and pressure ulcer hospitalizations, respectively. Lower reporting rates had few correlations with facility characteristics other than racial and ethnic composition. Facilities with high vs low fall reporting rates had significantly more White residents (86.9% vs 73.3%), and facilities with high vs low pressure ulcer reporting rates had significantly fewer White residents (69.7% vs 74.9%).
AHRQ-funded; HS026957.
Citation: Sanghavi P, Chen Z .
Underreporting of quality measures and associated facility characteristics and racial disparities in US nursing home ratings.
JAMA Netw Open 2023 May; 6(5):e2314822. doi: 10.1001/jamanetworkopen.2023.14822..
Keywords: Quality Measures, Quality of Care, Elderly, Disparities, Racial and Ethnic Minorities, Nursing Homes, Pressure Ulcers, Healthcare-Associated Infections (HAIs), Quality Indicators (QIs), Long-Term Care
Sheetz KH, Ryan A
Accuracy of quality measurement for the hospital acquired conditions reduction program.
Accuracy of quality measurement for the hospital acquired conditions reduction program.
AHRQ-funded; HS026244; HS000053.
Citation: Sheetz KH, Ryan A .
Accuracy of quality measurement for the hospital acquired conditions reduction program.
BMJ Qual Saf 2020 Jul;29(7):605-07. doi: 10.1136/bmjqs-2019-009747..
Keywords: Healthcare-Associated Infections (HAIs), Hospitals, Quality Measures, Quality Improvement, Quality of Care, Surgery, Infectious Diseases
Hsu HE, Wang R, Jentzsch MS
The impact of measurement changes on evaluating hospital performance: the case of catheter-associated urinary tract infections.
Researchers observed that catheter-associated urinary tract infections in 592 hospitals immediately declined after federal value-based incentive program implementation, but found that this was fully attributable to a concurrent surveillance case definition revision. They found that post revision, more hospitals had favorable standardized infection ratios, likely leading to artificial inflation of their performance scores unrelated to changes in patient safety.
AHRQ-funded; HS000063; HS025008; HS018414.
Citation: Hsu HE, Wang R, Jentzsch MS .
The impact of measurement changes on evaluating hospital performance: the case of catheter-associated urinary tract infections.
Infect Control Hosp Epidemiol 2019 Nov;40(11):1269-71. doi: 10.1017/ice.2019.240..
Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Healthcare-Associated Infections (HAIs), Hospitals, Patient Safety, Provider Performance, Quality Measures, Urinary Tract Infection (UTI)
Govindan S, Wallace B, Iwashyna TJ
Do experts understand performance measures? A mixed-methods study of infection preventionists.
This study assessed expert interpretation of CLABSI quality data using a cross-sectional survey of members of the Society for Healthcare Epidemiology of America (SHEA) Research Network (SRN). The investigators found that significant variability in the interpretation of CLABSI data exists among experts. They assert that this finding is likely related to data complexity, particularly with respect to risk-adjusted data. They suggest that improvements appear necessary in data sharing and public policy efforts to account for this complexity.
AHRQ-funded; HS022835.
Citation: Govindan S, Wallace B, Iwashyna TJ .
Do experts understand performance measures? A mixed-methods study of infection preventionists.
Infect Control Hosp Epidemiol 2018 Jan;39(1):71-76. doi: 10.1017/ice.2017.243..
Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Provider, Provider Performance, Quality of Care, Quality Measures
Masnick 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
Diehl A, Yang T, Speck K
AHRQ Author: Battles J
Evaluating the accuracy of sampling strategies for estimation of compliance rate for ventilator-associated pneumonia process measures.
The researchers evaluated the accuracy of sampling strategies to estimate monthly compliance rates with ventilator-associated pneumonia prevention measures. They concluded that sampling process measures intermittently rather than continually can yield accurate estimates of process measure performance rates.
AHRQ-authored; AHRQ-funded; 290201000027I; 29032002T.
Citation: Diehl A, Yang T, Speck K .
Evaluating the accuracy of sampling strategies for estimation of compliance rate for ventilator-associated pneumonia process measures.
Infect Control Hosp Epidemiol 2016 Sep;37(9):1037-43. doi: 10.1017/ice.2016.136.
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Keywords: Comprehensive Unit-based Safety Program (CUSP), Healthcare-Associated Infections (HAIs), Pneumonia, Quality Improvement, Quality Measures
Minami CA, Dahlke AR, Barnard C
Association between hospital characteristics and performance on the new hospital-acquired condition reduction program's surgical site infection measures.
This research letter evaluated the association between hospital characteristics and surgical site infection (SSI) measures. The authors found that hospitals with higher hospital quality summary scores were more frequently poor performers for SSI and had higher standardized infection ratios. Hospitals were more likely to be poor performers for colon SSI and hysterectomy SSI if they were a teaching hospital, safety-net hospital, or level I trauma center. Teaching hospitals were more likely to be poor performers for colorectal SSI, but the association was not as consistent for hysterectomy.
AHRQ-funded; HS021857.
Citation: Minami CA, Dahlke AR, Barnard C .
Association between hospital characteristics and performance on the new hospital-acquired condition reduction program's surgical site infection measures.
JAMA Surg 2016 Aug;151(8):777-9. doi: 10.1001/jamasurg.2016.0408.
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Keywords: Healthcare-Associated Infections (HAIs), Surgery, Injuries and Wounds, Adverse Events, Quality Measures, Hospitals, Quality of Care
Rock C, Thom KA, Harris AD
A multicenter longitudinal study of hospital-onset bacteremia: time for a new quality outcome measure?
This study evaluates hospital-onset bacteremia (HOB) as a healthcare-associated infection-related outcome measure by assessing the association between HOB and central-line-associated bloodstream infection (CLABSI) rates and comparing the power of each to discriminate quality among intensive care units (ICUs). The researchers found that change in HOB rate is strongly associated with change in CLABSI rate and has greater power to discriminate between ICU performances.
AHRQ-funded; HS022291.
Citation: Rock C, Thom KA, Harris AD .
A multicenter longitudinal study of hospital-onset bacteremia: time for a new quality outcome measure?
Infect Control Hosp Epidemiol 2016 Feb;37(2):143-8. doi: 10.1017/ice.2015.261.
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Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Patient Safety, Quality Measures, Quality Measures