scholarly journals Predicting Hospital Overall Quality Star Ratings in the USA

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 486
Author(s):  
Nisha Kurian ◽  
Jyotsna Maid ◽  
Sharoni Mitra ◽  
Lance Rhyne ◽  
Michael Korvink ◽  
...  

The U.S. Centers for Medicare and Medicaid Services (CMS) assigns quality star ratings to hospitals upon assessing their performance across 57 measures. Ratings can be used by healthcare consumers for hospital selection and hospitals for quality improvement. We provide a simpler, more intuitive modeling approach, aligned with recent criticism by stakeholders. An ordered logistic regression approach is proposed to assess associations between performance measures and ratings across eligible (n = 4519) U.S. hospitals. Covariate selection reduces the double counting of information from highly correlated measures. Multiple imputation allows for inference of star ratings when information on all measures is not available. Twenty performance measures were found to contain all the relevant information to formulate star rating predictions upon accounting for performance measure correlation. Hospitals can focus their efforts on a subset of model-identified measures, while healthcare consumers can predict quality star ratings for hospitals ineligible under CMS criteria.

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1180
Author(s):  
Toshiyuki Sueyoshi ◽  
Youngbok Ryu

This study aims to overview the U.S. sustainable development by measuring the environmental performance of 50 states over the period of 2009–2018. To attain the objective, we employ data envelopment analysis for environmental assessment where we prioritize the minimization of CO2 emissions first and the maximization of gross state product later under the concept of managerial disposability (i.e., an environment-based performance measure). Then, we examine how the state-level environmental performance measures are associated with their political and spatial contexts. For the purpose, we conduct the Kruskal-Wallis rank sum test across groups of states characterized by their political transitions in the presidential and gubernatorial elections and defined by the regions of the U.S. Economic Development Administration and Environmental Protection Agency. Based on our empirical results, we find that (a) overall environmental performance has gradually enhanced over time, (b) there are statistically significant differences in the environmental performance measures along with the political transitions, and (c) states on both coasts have outperformed those of the middle in the measurement.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Orhun Utku Aydin ◽  
Abdel Aziz Taha ◽  
Adam Hilbert ◽  
Ahmed A. Khalil ◽  
Ivana Galinovic ◽  
...  

Abstract Background Arterial brain vessel segmentation allows utilising clinically relevant information contained within the cerebral vascular tree. Currently, however, no standardised performance measure is available to evaluate the quality of cerebral vessel segmentations. Thus, we developed a performance measure selection framework based on manual visual scoring of simulated segmentation variations to find the most suitable measure for cerebral vessel segmentation. Methods To simulate segmentation variations, we manually created non-overlapping segmentation errors common in magnetic resonance angiography cerebral vessel segmentation. In 10 patients, we generated a set of approximately 300 simulated segmentation variations for each ground truth image. Each segmentation was visually scored based on a predefined scoring system and segmentations were ranked based on 22 performance measures common in the literature. The correlation of visual scores with performance measure rankings was calculated using the Spearman correlation coefficient. Results The distance-based performance measures balanced average Hausdorff distance (rank = 1) and average Hausdorff distance (rank = 2) provided the segmentation rankings with the highest average correlation with manual rankings. They were followed by overlap-based measures such as Dice coefficient (rank = 7), a standard performance measure in medical image segmentation. Conclusions Average Hausdorff distance-based measures should be used as a standard performance measure in evaluating cerebral vessel segmentation quality. They can identify more relevant segmentation errors, especially in high-quality segmentations. Our findings have the potential to accelerate the validation and development of novel vessel segmentation approaches.


2010 ◽  
Vol 85 (3) ◽  
pp. 753-789 ◽  
Author(s):  
Jan Barton ◽  
Thomas Bowe Hansen ◽  
Grace Pownall

ABSTRACT: We examine the value relevance of a comprehensive set of summary performance measures including sales, earnings, comprehensive income, and operating cash flows. We find that, while value relevance peaks for measures “above the line,” no single measure dominates around the world. Instead, a measure is more relevant when it captures, directly and quickly, information about firms’ cash flows. Specifically, for each performance measure by country, we estimate eight attributes commonly used to assess earnings quality. We find these attributes highly correlated—most of their variance is explained by only two principal factors. A factor capturing articulation with cash flows is positively associated with a measure’s value relevance; a factor reflecting the measure’s persistence, predictability, smoothness, and conservatism is negatively associated. Our results suggest that, when it comes to equity valuation, accounting researchers and standard-setters should focus not on what performance measure is “best” at a given point in time, but on the underlying attributes that investors find most relevant.


2009 ◽  
Vol 6 (3) ◽  
pp. 388-406 ◽  
Author(s):  
Alexander Bassen ◽  
Stefan Prigge ◽  
Christine Zöllner

This study contributes to the emerging research that analyzes the relation between performance and single components of broad corporate governance aggregates, such as governance codes and ratings. Available research is confined to the U.S., Japan, and emerging markets. We enlarge the geographical scope to the German Corporate Governance Code (GCGC). For a sample of 100 large listed German stock corporations, compliance with the GCGC at large is significantly associated only with one of our performance measures (Tobin’s q); this connection is negative. Individual analysis of eleven GCGC recommendations reveals that for three of them, association with all performance measures is insignificant. Four (four) components are significantly positively (negatively) connected with at least one performance measure


2020 ◽  
pp. 7-10
Author(s):  
Hardy Thorsten Panknin

Nosocomial infections in the elderly, often suffering from many ailments, patients in homes for the disabled and the old are among the problematic diseases that specialized nursing staff and doctors have to deal with more often in such institutions. Review work from the USA introduces relevant information about infectious risks, as well as possible preventive and therapeutic measures.


1990 ◽  
Vol 22 (3-4) ◽  
pp. 49-56
Author(s):  
E. D. Smith ◽  
R. J. Scholze

This paper presents a review of collected experience of one of the U.S. Corps of Engineers research laboratories in the area of small systems for wastewater treatment. Findings and experiences are presented for the use of package plants such as rotating biological contactors (RBCs), and remote site waste treatment at military installations and recreation areas.


2005 ◽  
Vol 80 (4) ◽  
pp. 1163-1192 ◽  
Author(s):  
Ranjani Krishnan ◽  
Joan L. Luft ◽  
Michael D. Shields

Performance-measure weights for incentive compensation are often determined subjectively. Determining these weights is a cognitively difficult task, and archival research shows that observed performance-measure weights are only partially consistent with the predictions of agency theory. Ittner et al. (2003) have concluded that psychology theory can help to explain such inconsistencies. In an experimental setting based on Feltham and Xie (1994), we use psychology theories of reasoning to predict distinctive patterns of similarity and difference between optimal and actual subjective performance-measure weights. The following predictions are supported. First, in contrast to a number of prior studies, most individuals' decisions are significantly influenced by the performance measures' error variance (precision) and error covariance. Second, directional errors in the use of these measurement attributes are relatively frequent, resulting in a mean underreaction to an accounting change that alters performance measurement error. Third, individuals seem insufficiently aware that a change in the accounting for one measure has spillover effects on the optimal weighting of the other measure in a two-measure incentive system. In consequence, they make performance-measure weighting decisions that are likely to result in misallocations of agent effort.


1992 ◽  
Vol 52 (1) ◽  
pp. 41-60 ◽  
Author(s):  
Robert Higgs

Relying on standard measures of macroeconomic performance, historians and economists believe that “war prosperity” prevailed in the United States during World War II. This belief is ill-founded, because it does not recognize that the United States had a command economy during the war. From 1942 to 1946 some macroeconomic performance measures are statistically inaccurate; others are conceptually inappropriate. A better grounded interpretation is that during the war the economy was a huge arsenal in which the well-being of consumers deteriorated. After the war genuine prosperity returned for the first time since 1929.


Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Crismely A Perdomo ◽  
Vepuka E Kauari ◽  
Elizabeth Suarez ◽  
Olajide Williams ◽  
Joshua Stillman ◽  
...  

Background and Purpose The literature demonstrates how utilizing evidence-based, standardized stroke care can improve patient outcomes; however, the contribution of electronic medical record (EMR) systems may also impact outcomes by ensuring utilization and compliance with established stroke performance measures, facilitating and improving documentation requirements, and standardizing approach to care. In 2008, documentation in patients’ medical records was done in combination of paper and a template free EMR. Originally, the EMR was used for order entry, then transitioned to full electronic documentation in 2009. At that time we implemented our stroke templates and performance measures based on regulatory standards. We hypothesized that the stroke template implementation would help us achieve performance measure criteria above state benchmarks as set out by the New York State Department of Health (NYS DOH). Methods Implementation was phased in [over 18 months], initially using a template that only included neurological assessment and free text fields for stroke measures. By July 2010, existing templates were modified and additional stroke templates were implemented to meet new regulatory requirements and meaningful use criteria. Retrospective data review was conducted for performance comparison between 2008 -- one year prior to EMR/template implementation -- and 2010. In Quarter 1 of 2011 EMR was also implemented in the Emergency Department (ED). Data was reviewed for compliance with stroke measures. Results Documentation compliance substantially improved between 2008 and Quarter 1 2011: Compliance for these measures has been maintained ≥ 85% since November 2010, ≥ 90% Q1 2011 Conclusions The EMR implementation of stroke templates and performance measures can produce substantial improvement in performance measure compliance. Future steps will include automated documentation alerts to retrieve information and real time discovery of missing documentation for concurrent quality review and improvement


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