Paula Chatterjee 1 , Karen Joynt Maddox 2 . Show Affiliations »
Abstract
BACKGROUND: Publicly reported quality data can help consumers make informed choices about where to seek medical care. The Centers for Medicare and Medicaid Services developed a composite Hospital Compare Overall Star Rating for US acute-care hospitals in 2016. However, patterns of performance and improvement have not been previously described. OBJECTIVE: To characterise high-quality and low-quality hospitals as assessed by Star Ratings. DESIGN: We performed a retrospective cross-sectional study of 3429 US acute-care hospitals assigned Overall Star Ratings in both 2016 and 2017. We used multivariable logistic regression models to identify characteristics associated with receiving 4 or 5 stars. RESULTS: Small hospitals were more likely to receive 4 or 5 stars in 2016 (33% of small hospitals, 26% of medium hospitals and 21% of large hospitals, OR for medium 0.78, p=0.02, and for large, 0.61, p=0.003). Non-profit status (OR 1.37, p=0.01), midwest region (OR=2.30, p<0.001), west region (OR 1.30 in 2016, p=0.06) and system membership (OR 1.33, p=0.003) were associated with higher odds of achieving a higher Star Rating. Hospitals with the most Medicaid patients were markedly less likely to receive 4 or 5 stars (OR for highest quartile=0.32, p<0.001), and hospitals with the highest proportion of Medicare patients were somewhat less likely to do so (OR for highest quartile=0.68, p=0.01). These associations remained largely consistent over the first two years of reporting and were also associated with the highest likelihood of improvement. CONCLUSIONS: Small hospitals with fewer Medicaid patients had the highest odds of performing well on Star Ratings. Further monitoring of these trends is needed as patients, clinicians and policymakers strive to use this information to promote high-quality care. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.
BACKGROUND: Publicly reported quality data can help consumers make informed choices about where to seek medical care. The Centers for Medicare and Medicaid Services developed a composite Hospital Compare Overall Star Rating for US acute-care hospitals in 2016. However, patterns of performance and improvement have not been previously described. OBJECTIVE: To characterise high-quality and low-quality hospitals as assessed by Star Ratings. DESIGN: We performed a retrospective cross-sectional study of 3429 US acute-care hospitals assigned Overall Star Ratings in both 2016 and 2017. We used multivariable logistic regression models to identify characteristics associated with receiving 4 or 5 stars. RESULTS: Small hospitals were more likely to receive 4 or 5 stars in 2016 (33% of small hospitals, 26% of medium hospitals and 21% of large hospitals, OR for medium 0.78, p=0.02, and for large, 0.61, p=0.003). Non-profit status (OR 1.37, p=0.01), midwest region (OR=2.30, p<0.001), west region (OR 1.30 in 2016, p=0.06) and system membership (OR 1.33, p=0.003) were associated with higher odds of achieving a higher Star Rating. Hospitals with the most Medicaid patients were markedly less likely to receive 4 or 5 stars (OR for highest quartile=0.32, p<0.001), and hospitals with the highest proportion of Medicare patients were somewhat less likely to do so (OR for highest quartile=0.68, p=0.01). These associations remained largely consistent over the first two years of reporting and were also associated with the highest likelihood of improvement. CONCLUSIONS: Small hospitals with fewer Medicaid patients had the highest odds of performing well on Star Ratings. Further monitoring of these trends is needed as patients , clinicians and policymakers strive to use this information to promote high-quality care. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Species
Keywords:
health policy; healthcare quality improvement; quality measurement
Mesh: See more »
Year: 2018
PMID: 30530807 DOI: 10.1136/bmjqs-2018-008384
Source DB: PubMed Journal: BMJ Qual Saf ISSN: 2044-5415 Impact factor: 7.035