scholarly journals Higher Star, Better Performance in US Nursing Homes during the Covid-19 Pandemic ?

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 735-736
Author(s):  
Lei Yu ◽  
Xiao Qiu ◽  
Tara Rose
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
National Level ◽  
Ownership Type ◽  
Quality Ratings ◽  
Nursing Home Quality ◽  
Significant Difference ◽  
The Us ◽  
Type Size

Abstract The Covid-19 pandemic has brought terrible difficulties to nursing homes, as they were locations with the highest number of confirmed Covid-19 cases and deaths in the US. The Centers for Medicare & Medicaid Services (CMS) applies the Five-Star Quality Ratings to indicate the quality of care in nursing homes based on health inspection survey, staffing, and resident outcome. Studies to date have contradictory findings regarding the relationship between nursing home reported Quality Ratings and Covid-19 cases and deaths based on US regional data. The purpose of this study is to examine whether nursing homes’ Quality Ratings were related to the total number of resident Covid-19 cases and deaths at the US National level. The study examined US nursing homes (N=13,494) linked with CMS Nursing Home Compare data and Covid-19 Nursing Home data. Using multiple linear regression analyses, results showed nursing home Quality Ratings were significantly associated with Covid-19 residents’ cases and deaths controlling for ownership type, size, occupation rate, and years of operation (p<.001; p<.001). Five-star nursing homes were less likely to have Covid-19 cases and deaths. Further, comparing lower Star Ratings nursing homes, 1-Star nursing homes showed no significant difference to 2-Star and 3-Star nursing homes when examining Covid-19 cases and deaths. Overall, the Five-Star Quality Ratings is a useful measure when investigating nursing homes’ performance during the Covid-19 pandemic. Future policymakers and administrators should also focus on nursing homes with lower star ratings when improving the quality of nursing homes, particularly with regard to resident health.

scholarly journals The relationship of nursing home price and quality of life

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Sarah Raes ◽  
Sophie Vandepitte ◽  
Delphine De Smedt ◽  
Herlinde Wynendaele ◽  
Yannai DeJonghe ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Nursing Home ◽  
Nursing Homes ◽  
Research Question ◽  
Nursing Home Residents ◽  
Cross Sectional Study ◽  
Ownership Type ◽  
Cross Sectional ◽  
The Relationship

Abstract Background Knowledge about the relationship between the residents’ Quality of Life (QOL) and the nursing home price is currently lacking. Therefore, this study investigates the relationship between 11 dimensions of QOL and nursing homes price in Flemish nursing homes. Methods The data used in this cross-sectional study were collected by the Flemish government from years 2014 to 2017 and originates from 659 Flemish nursing homes. From 2014 to 2016, data on the QOL of 21,756 residents was assessed with the InterRAI instrument. This instrument contains 11 QOL dimensions. Multiple linear regression analyses were conducted to examine the research question. Results The multiple linear regressions indicated that a 10 euro increase in the daily nursing home price is associated with a significant decrease (P <  0.001) of 0.1 in 5 dimensions of QOL (access to services, comfort and environment, food and meals, respect, and safety and security). Hence, our results indicate that the association between price and QOL is very small. When conducting a subgroup analysis based on ownership type, the earlier found results remained only statistically significant for private nursing homes. Conclusion Our findings show that nursing home price is of limited importance with respect to resident QOL. Contrary to popular belief, our study demonstrates a limited negative effect of price on QOL. Further research that includes other indicators of QOL is needed to allow policymakers and nursing home managers to improve nursing home residents’ QOL.

scholarly journals The Relationship of Nursing Home Price and Quality of Life

2020 ◽  
Author(s):  
Sarah Raes ◽  
Sophie Vandepitte ◽  
Delphine De Smedt ◽  
Herlinde Wynendaele ◽  
Yannai DeJonghe ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Nursing Home ◽  
Nursing Homes ◽  
Research Question ◽  
Nursing Home Residents ◽  
Cross Sectional Study ◽  
Ownership Type ◽  
Cross Sectional ◽  
The Relationship

Abstract Background: Knowledge about the relationship between the residents’ Quality Of Life (QOL) and the nursing home price is currently lacking. Therefore, this study investigates the relationship between 11 dimensions of QOL and nursing homes price in Flemish nursing homes.Methods: The data used in this cross-sectional study were collected by the Flemish government from years 2014 to 2017 and originates from 659 Flemish nursing homes. From 2014 to 2016, data on the QOL of 21,756 residents was assessed with the InterRAI instrument. This instrument contains 11 QOL dimensions. Multiple linear regression analyses were conducted to examine the research question.Results: The multiple linear regressions indicated that a 10 euro increase in the daily nursing home price is associated with a significant decrease (P < 0.001) of 0.1 in 5 dimensions of QOL (access to services, comfort and environment, food and meals, respect, and safety and security). Hence, our results indicate that the association between price and QOL is very small. When conducting a subgroup analysis based on ownership type, the earlier found results remained only statistically significant for private nursing homes.Conclusion: Our findings show that nursing home price is of limited importance with respect to resident QOL. Contrary to popular belief, our study demonstrates a limited negative effect of price on QOL. Further research that includes other indicators of QOL is needed to allow policymakers and nursing home managers to improve nursing home residents’ QOL.

scholarly journals Assessing Nursing Homes Quality Indicators’ between-Provider Variability and Reliability: A Cross-Sectional Study Using ICCs and Rankability

2020 ◽  
Vol 17 (24) ◽  
pp. 9249
Author(s):  
Lauriane Favez ◽  
Franziska Zúñiga ◽  
Narayan Sharma ◽  
Catherine Blatter ◽  
Michael Simon
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Quality Indicators ◽  
Quality Indicator ◽  
Intraclass Correlation ◽  
Physical Restraints ◽  
Cross Sectional ◽  
Nursing Home Quality ◽  
Intraclass Correlations

Nursing home quality indicators are often used to publicly report the quality of nursing home care. In Switzerland, six national nursing home quality indicators covering four clinical domains (polypharmacy, pain, use of physical restraints and weight loss) were recently developed. To allow for meaningful comparisons, these indicators must reliably show differences in quality of care levels between nursing homes. This study’s objectives were to assess nursing home quality indicators’ between-provider variability and reliability using intraclass correlations and rankability. This approach has not yet been used in long-term care contexts but presents methodological advantages. This cross-sectional multicenter study uses data of 11,412 residents from a convenience sample of 152 Swiss nursing homes. After calculating intraclass correlation 1 (ICC1) and rankability, we describe between-provider variability for each quality indicator using empirical Bayes estimate-based caterpillar plots. To assess reliability, we used intraclass correlation 2 (ICC2). Overall, ICC1 values were high, ranging from 0.068 (95% confidence interval (CI) 0.047–0.086) for polypharmacy to 0.396 (95% CI 0.297–0.474) for physical restraints, with quality indicator caterpillar plots showing sufficient between-provider variability. However, testing for rankability produced mixed results, with low figures for two indicators (0.144 for polypharmacy; 0.471 for self-reported pain) and moderate to high figures for the four others (from 0.692 for observed pain to 0.976 for physical restraints). High ICC2 figures, ranging from 0.896 (95% CI 0.852–0.917) (self-reported pain) to 0.990 (95% CI 0.985–0.993) (physical restraints), indicated good reliability for all six quality indicators. Intraclass correlations and rankability can be used to assess nursing home quality indicators’ between-provider variability and reliability. The six selected quality indicators reliably distinguish care differences between nursing homes and can be recommended for use, although the variability of two—polypharmacy and self-reported pain—is substantially chance-driven, limiting their utility.

Analyses of Complaints, Investigations of Allegations, and Deficiency Citations in United States Nursing Homes

2017 ◽  
Vol 76 (6) ◽  
pp. 736-757 ◽  
Author(s):  
Kevin E. Hansen ◽  
Kathryn Hyer ◽  
Amanda A. Holup ◽  
Kelly M. Smith ◽  
Brent J. Small
Keyword(s):  
United States ◽  
Nursing Home ◽  
Quality Of Care ◽  
Nursing Homes ◽  
Survey Data ◽  
Additional Research ◽  
Data Sets ◽  
Nursing Home Quality

Quality of care in nursing homes has been evaluated from varying perspectives, but few studies analyze complaints made to surveyors. This study analyzed complaints, investigations, and citations for nursing homes nationwide. Using the complaint and survey data sets, analyses match nursing home complaints with findings of investigations conducted. Results showed the average complaint rate was 13.3 complaints per 100 residents and that 43.2% of complaint allegations were substantiated, with complaints about care and services provided being the most prevalent. Variability was noted among the Centers for Medicare and Medicaid Services regions and, on average, 47.5% of facilities had five or more complaints in a given year. While additional research could evaluate the effect of complaint investigations on nursing home quality, results indicated that complaints and subsequent investigations provide further information regarding quality for residents. Results also suggest improvements in the training for surveyors and more consistency across Centers for Medicare and Medicaid Services survey regions.

scholarly journals The Relationship of Nursing Home Price and Quality of Life

2020 ◽  
Author(s):  
Sarah Raes ◽  
Sophie Vandepitte ◽  
Delphine De Smedt ◽  
Herlinde Wynendaele ◽  
Yannai DeJonghe ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Nursing Home ◽  
Nursing Homes ◽  
Nursing Home Residents ◽  
Cross Sectional Study ◽  
Ownership Type ◽  
Cross Sectional ◽  
Negative Effect ◽  
The Relationship

Abstract Background Knowledge about the relationship between the residents’ Quality Of Life (QOL) and the nursing home price is currently lacking. Therefore, this study investigates the relationship between 11 dimensions of QOL and nursing homes price in Flemish nursing homes.Methods The data used in this cross-sectional study were collected by the Flemish government from years 2014 to 2017 and originates from 659 Flemish nursing homes. From 2014 to 2016, data on the QOL of 21,756 residents was assessed with the InterRAI instrument. This instrument contains 11 QOL dimensions. Multiple regression analyses were conducted to examine the research question.Results The multiple regressions indicated that a 10 euro increase in the daily nursing home price is associated with a significant decrease (P < 0.001) of 0.1 in 5 dimensions of QOL (access to services, comfort and environment, food and meals, respect, and safety and security). Hence, our results indicate that the association between price and QOL is very small. When conducting a subgroup analysis based on ownership type, the earlier found results remained only statistically significant for private nursing homes.Conclusion Our findings show that nursing home price is of limited importance with respect to resident QOL. Contrary to popular belief, our study demonstrates a limited negative effect of price on QOL. Further research that includes other indicators of QOL is needed to allow policymakers and nursing home managers to improve nursing home residents’ QOL.

scholarly journals The Relationship of Nursing Home Price and Quality of Life

2020 ◽  
Author(s):  
Sarah Raes ◽  
Sophie Vandepitte ◽  
Delphine De Smedt ◽  
Herlinde Wynendaele ◽  
Yannai DeJonghe ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Nursing Home ◽  
Nursing Homes ◽  
Research Question ◽  
Nursing Home Residents ◽  
Cross Sectional Study ◽  
Ownership Type ◽  
Cross Sectional ◽  
The Relationship

Abstract Background: Knowledge about the relationship between the residents’ Quality of Life (QOL) and the nursing home price is currently lacking. Therefore, this study investigates the relationship between 11 dimensions of QOL and nursing homes price in Flemish nursing homes.Methods: The data used in this cross-sectional study were collected by the Flemish government from years 2014 to 2017 and originates from 659 Flemish nursing homes. From 2014 to 2016, data on the QOL of 21,756 residents was assessed with the InterRAI instrument. This instrument contains 11 QOL dimensions. Multiple linear regression analyses were conducted to examine the research question.Results: The multiple linear regressions indicated that a 10 euro increase in the daily nursing home price is associated with a significant decrease (P < 0.001) of 0.1 in 5 dimensions of QOL (access to services, comfort and environment, food and meals, respect, and safety and security). Hence, our results indicate that the association between price and QOL is very small. When conducting a subgroup analysis based on ownership type, the earlier found results remained only statistically significant for private nursing homes.Conclusion: Our findings show that nursing home price is of limited importance with respect to resident QOL. Contrary to popular belief, our study demonstrates a limited negative effect of price on QOL. Further research that includes other indicators of QOL is needed to allow policymakers and nursing home managers to improve nursing home residents’ QOL.

scholarly journals An Ecological Analysis of Quality Ratings and Inspections Associated with COVID-19 Outbreaks in Skilled Nursing Homes

2021 ◽  
pp. 1-6
Author(s):  
M.D. Simon ◽  
S.D. Meshkat ◽  
N. Raja
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Demographic Data ◽  
The United States ◽  
Term Care ◽  
Skilled Nursing ◽  
Health Inspection ◽  
Quality Ratings ◽  
Nursing Home Quality ◽  
Skilled Nursing Homes

Objectives: As COVID-19 spread across the United States, and most rapidly in skilled nursing homes, public health departments developed policies to mitigate the spread. Concerns grew over whether this spread linked to nursing home quality. Design: We collected data on nursing home quality, staffing, and COVID-19 cases from the Centers of Medicare and Medicaid Services. Demographic data was sourced from Long Term Care Focus. Settings and Participants: The analysis used cross-sectional data from 1,025 California skilled nursing homes including quality ratings and confirmed COVID-19 cases between May 17, 2020 and August 23, 2020. Methods: The dependent variable was confirmed COVID-19 cases among residents. The primary independent variables were Overall Rating and Health Inspection Rating, while also including nursing home beds, patient race composition, ownership and geographic classification. Results: 5-Star Overall Rating, 5-Star Health Inspection Rating, and a lower count of health inspection deficiencies each predicted a lower likelihood of having a confirmed COVID resident case (p<.05). Conclusions and Implications: Skilled nursing homes with higher quality ratings and fewer health inspection deficiencies were less likely to have a confirmed case of COVID-19 among residents.

scholarly journals The Association of Nursing Home Quality Ratings and Spread of COVID ‐19

2021 ◽  
Author(s):  
Christianna S. Williams ◽  
Qing Zheng ◽  
Alan J. White ◽  
Ariana I. Bengtsson ◽  
Evan T. Shulman ◽  
...  
Keyword(s):  
Nursing Home ◽  
Quality Ratings ◽  
Nursing Home Quality

scholarly journals A tablet-based intervention for activating nursing home residents with dementia: results from a cluster-randomized controlled trial

2021 ◽  
pp. 1-13
Author(s):  
Julie L. O’Sullivan ◽  
Sonia Lech ◽  
Paul Gellert ◽  
Ulrike Grittner ◽  
Jan-Niklas Voigt-Antons ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Randomized Controlled Trial ◽  
Nursing Home ◽  
Nursing Homes ◽  
Psychotropic Medication ◽  
Controlled Trial ◽  
Nursing Home Residents ◽  
Randomized Controlled ◽  
Cluster Randomized

Abstract Objectives: To investigate global and momentary effects of a tablet-based non-pharmacological intervention for nursing home residents living with dementia. Design: Cluster-randomized controlled trial. Setting: Ten nursing homes in Germany were randomly allocated to the tablet-based intervention (TBI, 5 units) or conventional activity sessions (CAS, 5 units). Participants: N = 162 residents with dementia. Intervention: Participants received regular TBI (n = 80) with stimulating activities developed to engage people with dementia or CAS (n = 82) for 8 weeks. Measurements: Apathy Evaluation Scale (AES-I, primary outcome), Quality of Life in Alzheimer’s Disease scale, QUALIDEM scale, Neuropsychiatric Inventory, Geriatric Depression Scale, and psychotropic medication (secondary outcomes). Momentary quality of life was assessed before and after each activity session. Participants and staff were blinded until the collection of baseline data was completed. Data were analyzed with linear mixed-effects models. Results: Levels of apathy decreased slightly in both groups (mean decrease in AES-I of .61 points, 95% CI −3.54, 2.33 for TBI and .36 points, 95% CI −3.27, 2.55 for CAS). Group difference in change of apathy was not statistically significant (β = .25; 95% CI 3.89, 4.38, p = .91). This corresponds to a standardized effect size (Cohen’s d) of .02. A reduction of psychotropic medication was found for TBI compared to CAS. Further analyses revealed a post-intervention improvement in QUALIDEM scores across both groups and short-term improvements of momentary quality of life in the CAS group. Conclusions: Our findings suggest that interventions involving tailored activities have a beneficial impact on global and momentary quality of life in nursing home residents with dementia. Although we found no clear advantage of TBI compared to CAS, tablet computers can support delivery of non-pharmacological interventions in nursing homes and facilitate regular assessments of fluctuating momentary states.

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