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Examining Racial and Ethnic Differences in Nursing Home Quality

Overview of attention for article published in Joint Commission journal on quality and patient safety, September 2017
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Article details
Title
Examining Racial and Ethnic Differences in Nursing Home Quality
Published in
Joint Commission journal on quality and patient safety, September 2017
DOI 10.1016/j.jcjq.2017.06.003
Pubmed ID
Authors
Abstract

Identifying racial/ethnic differences in quality is central to identifying, monitoring, and reducing disparities. Although disparities across all individual nursing home residents and disparities associated with between-nursing home differences have been established, little is known about the degree to which quality of care varies by race//ethnicity within nursing homes. A study was conducted to measure within-facility differences for a range of publicly reported nursing home quality measures. Resident assessment data on approximately 15,000 nursing homes and approximately 3 million residents (2009) were used to assess eight commonly used and publicly reported long-stay quality measures: the proportion of residents with weight loss, with high-risk and low-risk pressure ulcers, with incontinence, with depressive symptoms, in restraints daily, and who experienced a urinary tract infection or functional decline. Each measure was stratified by resident race/ethnicity (non-Hispanic white, non-Hispanic black, and Hispanic), and within-facility differences were examined. Small but significant differences in care on average were found, often in an unexpected direction; in many cases, white residents were experiencing poorer outcomes than black and Hispanic residents in the same facility. However, a broad range of differences in care by race/ethnicity within nursing homes was also found. The results suggest that care is delivered equally across all racial/ethnic groups in the same nursing home, on average. The results support the call for publicly reporting stratified nursing home quality measures and suggest that nursing home providers should attempt to identify racial/ethnic within-facility differences in care.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 17%
Student > Ph. D. Student 8 15%
Student > Bachelor 5 9%
Researcher 4 8%
Student > Doctoral Student 3 6%
Other 10 19%
Unknown 14 26%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 12 23%
Nursing and Health Professions 11 21%
Social Sciences 9 17%
Economics, Econometrics and Finance 1 2%
Psychology 1 2%
Other 1 2%
Unknown 18 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2019.
All research outputs
#22,958,521
of 34,372,222 outputs
Outputs from Joint Commission journal on quality and patient safety
#793
of 1,033 outputs
Outputs of similar age
#221,238
of 359,941 outputs
Outputs of similar age from Joint Commission journal on quality and patient safety
#5
of 12 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 359,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.