scholarly journals Potential Sources of Racial and Ethnic Disparities in Nursing Home Influenza Vaccination

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 884-885
Author(s):  
Melissa Riester ◽  
Elliott Bosco ◽  
Barbara Bardenheier ◽  
Patience Moyo ◽  
Rosa Baier ◽  
...  

Abstract Racial and ethnic disparities in influenza vaccination among nursing home (NH) residents are well-documented and have persisted over time, suggesting that new strategies are necessary to reduce disparities. We conducted a retrospective cohort study to examine the degree to which observable characteristics drove influenza vaccination disparities. We linked Minimum Data Set (MDS) assessments to facility-level data for short- and long-stay NH residents aged ≥65 years. We included residents with six-month continuous enrollment in Medicare and an MDS assessment during the influenza season (October 1, 2013 through March 31, 2014). Using nonlinear Oaxaca-Blinder decomposition, we decomposed the disparities in vaccination between White versus Black and White versus Hispanic residents. We analyzed short- and long-stay residents separately. Our study included 630,373 short-stay and 1,029,593 long-stay residents. Among short-stay residents, 67.2% of Whites, 55.1% of Blacks, and 54.5% of Hispanics were vaccinated against influenza; among long-stay residents, 84.2% of Whites, 76.7% of Blacks, and 80.8% Hispanics were vaccinated against influenza. Across the four comparisons, the crude disparity in influenza vaccination ranged from 3.4-12.7 percentage points. By equalizing 27 characteristics, these disparities could be reduced by 37.7%-59.2%. Living in a predominantly White facility and proxies for NH quality were important contributors to the disparity, although characteristics unmeasured in our data (e.g., NH staff attitudes and beliefs) contributed 40.8%-62.3% to the disparity across comparisons. Intervening on factors associated with NH quality may reduce racial/ethnic disparities in influenza vaccination. Qualitative research is essential to explore potential contributors not captured in our administrative data.

2021 ◽  
Vol 1 (S1) ◽  
pp. s13-s14
Author(s):  
Matthew Hudson ◽  
Katryna Gouin ◽  
Stanley Wang ◽  
Manjiri Kulkarni ◽  
Mary Beckerson ◽  
...  

Background: Antibiotics are frequently prescribed in nursing homes, often inappropriately. Data sources are needed to facilitate measurement and reporting of antibiotic use to inform antibiotic stewardship efforts. Previous analyses have shown that the type of nursing-home stay, that is, short stay (<100 days), is a strong predictor of high antibiotic use compared to longer nursing-home stays. The study objective was to compare 2 different data sources, electronic health record (EHR) and long-term care (LTC) pharmacy data, for surveillance of antibiotic use and type of nursing-home stay. Methods: EHR and pharmacy data during 2017 were included from 1,933 and 1,348 US-based nursing homes, respectively. We compared data elements available in each data source for antibiotic use reporting. In each data set, we attempted to describe antibiotic use as the proportion of residents on an antibiotic, days-of-therapy (DOT) per 1,000 resident days (RD), and distribution of antibiotic course duration, overall and at the facility level. Facility proportion of short-stay and long-stay (>100 days) nursing-home residents were calculated using admission dates and census data in the EHR data set and a payor variable in the pharmacy data set (Figure 1). The 2 data sources also provided antibiotic characteristics, including antibiotic class, agent, and route of administration. The deidentified nature of facility data prevented direct comparison of antibiotic use measures between facilities. Results: The EHR and pharmacy data sets contained 381,382 and 326,713 residents, respectively (Table 1). Within the EHR, 51% of residents were prescribed an antibiotic in 2017, at a median rate of 77 DOT per 1,000 RD. In the LTC pharmacy, 46% of residents were prescribed an antibiotic at a median rate of 79 DOT per 1,000 RD (Table 1). Short-stay residents contributed a smaller proportion of total RDs in the EHR relative to the pharmacy cohort (21% vs 50%, respectively). Conclusions: Nursing-home antibiotic use data obtained from EHR and pharmacy vendors can be used for calculating antibiotic use measures, which is important for antibiotic use reporting and facility-level tracking to identify opportunities for improving prescribing practices and provide facility-level benchmarks. Further validation of both data sources in the same facilities is needed to compare antibiotic use rates and to determine the most appropriate proxy for type of nursing-home stay for facility-level risk adjustment of antibiotic use rates.Funding: NoDisclosures: None


Author(s):  
Melissa R. Riester ◽  
Elliott Bosco ◽  
Barbara H. Bardenheier ◽  
Patience Moyo ◽  
Rosa R. Baier ◽  
...  

2005 ◽  
Vol 20 (5) ◽  
pp. 426-431 ◽  
Author(s):  
María C. Rangel ◽  
Victor J. Shoenbach ◽  
Kristen A. Weigle ◽  
Vijaya K. Hogan ◽  
Ronald P. Strauss ◽  
...  

2020 ◽  
pp. 073346482094665
Author(s):  
John R. Bowblis ◽  
Weiwen Ng ◽  
Odichinma Akosionu ◽  
Tetyana P. Shippee

This study examines the racial/ethnic disparity among nursing home (NH) residents using a self-reported, validated measure of quality of life (QoL) among long-stay residents in Minnesota. Blinder–Oaxaca decomposition techniques determine which resident and facility factors are the potential sources of the racial/ethnic disparities in QoL. Black, Indigenous, and other People of Color (BIPOC) report lower QoL than White residents. Facility structural characteristics and being a NH with a high proportion of residents who are BIPOC are the factors that have the largest explanatory share of the disparity. Modifiable characteristics like staffing levels explain a small share of the disparity. To improve the QoL of BIPOC NH residents, efforts need to focus on addressing systemic disparities for NHs with a high proportion of residents who are BIPOC.


2019 ◽  
Vol 6 (6) ◽  
Author(s):  
Elliott Bosco ◽  
Andrew R Zullo ◽  
Kevin W McConeghy ◽  
Patience Moyo ◽  
Robertus van Aalst ◽  
...  

Abstract Background Pneumonia and influenza (P&I) increase morbidity and mortality among older adults, especially those residing in long-term care facilities (LTCFs). Facility-level characteristics may affect the risk of P&I beyond resident-level risk factors. However, the relationship between facility characteristics and P&I is poorly understood. To address this, we identified potentially modifiable facility-level characteristics that influence the incidence of P&I across LTCFs. Methods We conducted a retrospective cohort study using 2013–2015 Medicare claims linked to Minimum Data Set and LTCF-level data. Short-stay (&lt;100 days) and long-stay (100+ days) LTCF residents were followed for the first occurrence of hospitalization, LTCF discharge, Medicare disenrollment, or death. We calculated LTCF risk-standardized incidence rates (RSIRs) per 100 person-years for P&I hospitalizations by adjusting for over 30 resident-level demographic and clinical covariates using hierarchical logistic regression. Results We included 1 767 241 short-stay (13 683 LTCFs) and 922 863 long-stay residents (14 495 LTCFs). LTCFs with lower RSIRs had more licensed independent practitioners (nurse practitioners or physician assistants) among short-stay (44.9% vs 41.6%, P &lt; .001) and long-stay residents (47.4% vs 37.9%, P &lt; .001), higher registered nurse hours/resident/day among short-stay and long-stay residents (mean [SD], 0.5 [0.7] vs 0.4 [0.4], P &lt; .001), and fewer residents for whom antipsychotics were prescribed among short-stay (21.4% [11.6%] vs 23.6% [13.2%], P &lt; .001) and long-stay residents (22.2% [14.3%] vs 25.5% [15.0%], P &lt; .001). Conclusions LTCF characteristics may play an important role in preventing P&I hospitalizations. Hiring more registered nurses and licensed independent practitioners, increasing staffing hours, and higher-quality care practices may be modifiable means of reducing P&I in LTCFs.


2019 ◽  
pp. 107755871987902 ◽  
Author(s):  
Lacey Loomer ◽  
Ashvin Gandhi ◽  
Fangli Geng ◽  
David C. Grabowski

Nationwide nursing home private-pay prices at the facility-level have not been available for researchers interested in studying this unique health care market. This study presents a new data source, Caregiverlist, for private-pay prices for private and semiprivate rooms for 12,000 nursing homes nationwide collected between 2008 and 2010. We link these data to publicly available national nursing home-level data sets to examine the relationship between price and nursing home characteristics. We also compare private-pay prices with average private-pay revenues per day for California nursing homes obtained from facilities’ financial filings. On average, private-pay prices were $224 per day for private rooms compared with $197 per day for semiprivate rooms. We find that nursing homes that are nonprofit, urban, hospital-based, have a special care unit, chain-owned, and have higher quality ratings have higher prices. We find average revenues per day in California to be moderately correlated with prices reported by Caregiverlist.


2004 ◽  
Vol 25 (11) ◽  
pp. 946-954 ◽  
Author(s):  
Barbara Bardenheier ◽  
Abigail Shefer ◽  
Linda McKibben ◽  
Henry Roberts ◽  
Dale Bratzler

AbstractBackground:Studies have found residency in long-term–care facilities (LTCFs) a risk factor for influenza and pneumonia and have demonstrated that vaccinations against these diseases reduce the risk of disease. However, rates are below Healthy People 2010 goals of 90% for LTCFs. During 1999–2002, a multi-state demonstration project was conducted in LTCFs to implement standing orders programs for immunizations.Objective:Identify nursing home resident–specific characteristics associated with vaccination coverage at baseline.Methods:Facility-level data were collected from self-reported surveys of selected nursing homes in 14 states and from the On-line Survey and Certification Reporting System. Resident-level data, including demographics and physical functioning, were obtained from the Centers for Medicare & Medicaid Services' Minimum Data Set; 2000–2001 vaccination status was obtained by chart review. Influenza vaccination status reflected a single season, whereas pneumococcal vaccination status reflected vaccination in the past. Multilevel analysis was used to control for facility-level variation.Results:Of 22,188 residents sampled in 249 LTCFs, complete data were obtained for 20,516 (92%). The average coverage for immunizations was 58.5% ± 0.7% for influenza and 34.6% ± 0.3% for pneumococcal. On bivariate analyses, residents with cognitive, psychiatric, or neurologic problems were more likely to be vaccinated; those with accidental injuries, unstable conditions, or cancer were less likely to receive either vaccine. On multilevel analysis, the strongest resident characteristics associated with receipt of immunizations, controlling facility variation, were cognitive deficits and psychiatric illness.Conclusion:The variation in baseline vaccination coverage associated with LTCF resident characteristics supports the need for strategies to increase vaccination coverage in LTCFs.


2021 ◽  
Vol 9 ◽  
Author(s):  
Robert Weech-Maldonado ◽  
Justin Lord ◽  
Ganisher Davlyatov ◽  
Akbar Ghiasi ◽  
Gregory Orewa

Racial/ethnic disparities in healthcare have been highlighted by the recent COVID-19 pandemic. Using the Centers for Medicare and Medicaid Services' Nursing Home COVID-19 Public File, this study examined the relationship between nursing home racial/ethnic mix and COVID-19 resident mortality. As of October 25, 2020, high minority nursing homes reported 6.5 COVID-19 deaths as compared to 2.6 deaths for nursing homes that had no racial/ethnic minorities. After controlling for interstate differences, facility-level resident characteristics, resource availability, and organizational characteristics, high-minority nursing homes had 61% more COVID-19 deaths [Incidence Rate Ratio (IRR) = 1.61; p &lt; 0.001] as compared to nursing facilities with no minorities. From a policy perspective, nursing homes, that serve primarily minority populations, may need additional resources, such as, funding for staffing and personal protective equipment in the face of the pandemic. The COVID-19 pandemic has sharpened the focus on healthcare disparities and societal inequalities in the delivery of long-term care.


Author(s):  
Sarah Kabbani ◽  
Stanley W. Wang ◽  
Laura L. Ditz ◽  
Katryna A. Gouin ◽  
Danielle Palms ◽  
...  

Abstract Background: Antibiotics are frequently prescribed in nursing homes; national data describing facility-level antibiotic use are lacking. The objective of this analysis was to describe variability in antibiotic use in nursing homes across the United States using electronic health record orders. Methods: A retrospective cohort study of antibiotic orders for 309,884 residents in 1,664 US nursing homes in 2016 were included in the analysis. Antibiotic use rates were calculated as antibiotic days of therapy (DOT) per 1,000 resident days and were compared by type of stay (short stay ≤100 days vs long stay >100 days). Prescribing indications and the duration of nursing home-initiated antibiotic orders were described. Facility-level correlations of antibiotic use, adjusting for resident health and facility characteristics, were assessed using multivariate linear regression models. Results: In 2016, 54% of residents received at least 1 systemic antibiotic. The overall rate of antibiotic use was 88 DOT per 1,000 resident days. The 3 most common antibiotic classes prescribed were fluoroquinolones (18%), cephalosporins (18%), and urinary anti-infectives (9%). Antibiotics were most frequently prescribed for urinary tract infections, and the median duration of an antibiotic course was 7 days (interquartile range, 5–10). Higher facility antibiotic use rates correlated positively with higher proportions of short-stay residents, for-profit ownership, residents with low cognitive performance, and having at least 1 resident on a ventilator. Available facility-level characteristics only predicted a small proportion of variability observed (Model R2 version 0.24 software). Conclusions: Using electronic health record orders, variability was found among US nursing-home antibiotic prescribing practices, highlighting potential opportunities for targeted improvement of prescribing practices.


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