Market Conditions and Performance in the Nursing Home Compare Five-Star Rating

2016 ◽  
Vol 41 (5) ◽  
pp. 939-968 ◽  
Author(s):  
Ae-Sook Kim
2017 ◽  
Vol 27 (8) ◽  
pp. 619-624 ◽  
Author(s):  
Kayla Johari ◽  
Caitlyn Kellogg ◽  
Katalina Vazquez ◽  
Krystle Irvine ◽  
Anna Rahman ◽  
...  

BackgroundTwo strategies for rating the quality of nursing homes (NHs) in the USA are exemplified by the Nursing Home Compare (NHC) website, launched by the federal Centers for Medicare and Medicaid Services in 1998, and Yelp.com, an online consumer review site that has grown in popularity since its founding in 2004. Both sites feature a 5-star rating system. While much is known about NHC ratings, little is known about NH Yelp ratings. This study examines Yelp ratings for NHs in California and compares these ratings with NHC ratings. Understanding how these ratings relate can inform efforts to empower consumers and enhance NH decision-making.MethodsWe collected NHC and Yelp ratings for all California NHs between September and November 2016. For each NH with a Yelp review, we recorded the star rating and the total number of reviews. We also recorded the NHC 5-star rating and NHC ratings for inspections, staffing and quality measures (QMs). We conducted descriptive statistics and frequencies for these variables. We conducted correlations and tested means to compare the ratings.ResultsA total of 675 NHs (68.1% of the total sample of 991 NHs) had both Yelp ratings and NHC ratings. Correlations between the Yelp and NHC ratings were relatively weak. The Yelp rating was significantly lower than the 5-star NHC rating and the NHC ratings for staffing and QMs. It was significantly higher than the NHC inspection rating.ConclusionsThis study found that when consumers rate NHs on Yelp, their ratings differ considerably from NHC ratings, a finding in keeping with similar studies of NH quality measurement. Further research is needed to analyse the content of Yelp reviews and compare the themes and topics consumers identify with those reported on NHC.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S62-S62
Author(s):  
Christianna Williams ◽  
Qing Zheng ◽  
Alan White

Abstract The Centers for Medicare & Medicaid Services (CMS) developed the Payroll-Based Journal (PBJ) system for nursing homes to electronically submit direct care staffing information based on payroll and other auditable data. In spring 2018, CMS started reporting PBJ-based staffing measures on Nursing Home Compare. The objective of this research is to examine nursing home staffing patterns using PBJ data. We created measures of staffing hours per resident day, using PBJ staffing information and resident census calculated from MDS assessments. We examined how PBJ staffing levels varied for different types of nursing homes and the relationship between staffing and performance on other parts of CMS’s Five-Star Quality Rating System. We also examined weekday/weekend variation in staffing levels. We tracked about 15,650 nursing homes from 2017 to 2018. The average staffing level was 3.85 hours per resident day, of which 0.66 hours were for RNs. Average staffing levels were higher for smaller, non-profit, and hospital-based facilities. They were also higher for facilities with higher health inspection and quality measure ratings. Staffing levels were about 17% lower on weekends than on weekdays, and RN staffing was 38% lower on weekends. About 20% of facilities had one or more weekend day without any RN staffing in the quarter, while only 8% of facilities had any weekday without RN staffing. The use of payroll-based staffing measures improves the accuracy of the staffing information reported on Nursing Home Compare, providing consumers with additional quality-related information that can help guide their nursing home placement decisions.


2019 ◽  
Author(s):  
Linn K. Aasheim ◽  
Antonio Freitas Miguel ◽  
Sofia Brito Ramos

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Orna Intrator ◽  
Edward Alan Miller ◽  
Portia Y Cornell ◽  
Cari Levy ◽  
Christopher W Halladay ◽  
...  

Abstract Background and Objectives U.S. Department of Veterans Affairs Medical Centers (VAMCs) contract with nursing homes (NHs) in their community to serve Veterans. This study compares the characteristics and performance of Veterans Affairs (VA)-paid and non-VA-paid NHs both nationally and within local VAMC markets. Research Design and Methods VA-paid NHs were identified, characterized, and linked to VAMC markets using data drawn from VA administrative files. NHs in the United States in December 2015 were eligible for the analysis, including. 1,307 VA-paid NHs and 14,253 non-VA-paid NHs with NH Compare measures in 128 VAMC markets with any VA-paid NHs. Measurements were derived from the Centers for Medicare and Medicaid Services (CMS) five-star rating system, NH Compare. Results VA-paid NHs had more beds, residents per day, and were more likely to be for-profit relative to non-VA-paid NHs. Nationally, the average CMS NH Compare star rating was slightly lower among VA-paid NHs than non-VA-paid NHs (3.05 vs. 3.21, p = .04). This difference was seen in all 3 domains: inspection (3.11 vs. 3.23, p < .001), quality (2.68 vs. 2.83, p < .001), and total nurse staffing (3.36 vs. 3.42, p < .10). There was wide variability across VAMC markets in the ratio of average star rating of VA-paid and non-VA-paid NHs (mean ratio = 0.93, interquartile range = 0.78–1.08). Discussion and Implications With increased community NH use expected following the implementation of the MISSION Act, comparison of the quality of purchased services to other available services becomes critical for ensuring quality, including for NH care. Methods presented in this article can be used to examine the quality of purchased care following the MISSION Act implementation. In particular, dashboards such as that for VA-paid NHs that compare to similar non-VA-paid NHs can provide useful information to quality improvement efforts.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 22-23
Author(s):  
Latarsha Chisholm ◽  
Akbar Ghiasi ◽  
Justin Lord ◽  
Robert Weech-Maldonado

Abstract Racial/ethnic disparities have been well documented in long-term care literature. As the population ages and becomes more diverse over time, it is essential to identify mechanisms that may eliminate or mitigate racial/ethnic disparities. Culture change is a movement to transition nursing homes to more home-like environments. The literature on culture change initiatives and quality has been mixed, with little to no literature on the use of culture change initiatives in high Medicaid nursing homes and quality. The purpose of this study was to examine how the involvement of culture change initiatives among high Medicaid facilities was associated with nursing home quality. The study relied on both survey and secondary nursing home data for the years 2017-2018. The sample included high Medicaid (85% or higher) nursing homes. The outcome of interest was the overall nursing home star rating obtained from the Nursing Home Compare Five-Star Quality Rating System. The primary independent variable of interest was the years of involvement in culture change initiatives among nursing homes, which was obtained from the nursing home administrator survey. The final model consisted of an ordinal logistic regression with state-level fixed effects. High-Medicaid nursing homes with six or more years in culture change initiatives had higher odds of having a higher star rating, while facilities with one year or less had significantly lower odds of having a higher star rating. Culture change initiatives may require some time to effectively implement, but these initiatives are potential mechanisms to improve quality in high Medicaid nursing homes.


2018 ◽  
Vol 37 (11) ◽  
pp. 1770-1778 ◽  
Author(s):  
Daniel Brauner ◽  
Rachel M. Werner ◽  
Tetyana P. Shippee ◽  
John Cursio ◽  
Hari Sharma ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3951
Author(s):  
Márcia Esteves ◽  
Marisa Esteves ◽  
António Abelha ◽  
José Machado

Over the past few years, the rapidly aging population has been posing several challenges to healthcare systems worldwide. Consequently, in Portugal, nursing homes have been getting a higher demand, and health professionals working in these facilities are overloaded with work. Moreover, the lack of health information and communication technology (HICT) and the use of unsophisticated methods, such as paper, in nursing homes to clinically manage residents lead to more errors and are time-consuming. Thus, this article proposes a proof of concept of a mobile health (mHealth) application developed for the health professionals working in a Portuguese nursing home to support them at the point-of-care, namely to manage and have access to information and to help them schedule, perform, and digitally record their tasks. Additionally, clinical and performance business intelligence (BI) indicators to assist the decision-making process are also defined. Thereby, this solution aims to introduce technological improvements into the facility to improve healthcare delivery and, by taking advantage of the benefits provided by these improvements, lessen some of the workload experienced by health professionals, reduce time-waste and errors, and, ultimately, enhance elders’ quality of life and improve the quality of the services provided.


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