Reducing Avoidable Hospitalizations for Nursing Home Residents

2020 ◽  
Vol 35 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Amy Vogelsmeier ◽  
Lori Popejoy ◽  
Shari Kist ◽  
Susan Shumate ◽  
Angelita Pritchett ◽  
...  
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 85-85
Author(s):  
Denise Tyler ◽  
Cleanthe Kordomenos ◽  
Melvin Ingber

Abstract Organizations in seven states have been participating in the Center for Medicare and Medicaid Innovation (CMMI) initiative aimed at reducing potentially avoidable hospitalizations among long-stay nursing home (NH) residents. The purpose of this study was to identify market and policy factors that may have affected the initiative in those states. Forty-seven interviews were conducted with key stakeholders in the seven states (e.g., representatives from state departments of health, state Medicaid offices, and nursing, hospital and nursing home associations) and qualitatively analyzed to identify themes across states. Few policies or programs were found that may have affected the initiative; only New York (NY) was found to have state policies or programs specifically aimed at reducing hospitalizations. Market pressures reported in most states were similar. For example, stakeholders reported that the increased availability of home and community-based services and the growing presence of managed care are contributing to higher acuity among both long and short stay residents and that reimbursement rates and staffing have not kept up. Stakeholders suggested greater presence of physicians and nurse practitioners in NHs, better training around behavioral health issues for frontline staff, and more advance care planning and education of families about end of life may help further reduce NH hospitalizations. We also found that all states, except NY, had regional coalitions of health care related organizations focused on improving some aspect of care, such as reducing hospital readmissions. These coalitions may suggest ways that organizations can work together to reduce hospitalizations among NH residents.


2019 ◽  
Vol 57 (2) ◽  
pp. 498-499 ◽  
Author(s):  
Susan Hickman ◽  
Kathleen Unroe ◽  
Mary Ersek ◽  
Wanzhu Tu ◽  
Monica Ott ◽  
...  

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 555-555
Author(s):  
Elizabeth Fritz ◽  
Amy Vogelsmeier ◽  
Marilyn Rantz ◽  
Lori Popejoy ◽  
Kelli Canada

Abstract Missouri Quality Initiative (MOQI) was a CMS-funded enhanced care and coordination provider demonstration project (2012-2020) that successfully reduced avoidable hospitalizations and improved nursing home (NH) care quality. Little is known about the influence of race in multiple hospital transfers from NHs. Using a mixed-methods approach we analyzed hospitalization root cause analysis data from 2017-2019 for 1410 residents in 16 MOQI NHs. There were 113 residents who were transferred 609 times. Those with multiple transfers (four or more transfers/year) were compared by race and key characteristics (e.g., code status, diagnosis). A subset of residents with multiple transfers were examined qualitatively to identify and describe key cases. Findings suggest that Black residents have a higher probability for multiple transfers. Findings highlight the need for transfer prevention efforts for Black residents including early assessment and intervention, early/frequent discussion about goals of care, advance directives, resuscitation status, and family/resident understanding of treatment effectiveness.


2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 88-88
Author(s):  
L E Bercaw ◽  
A Shah ◽  
K Porter ◽  
T Eng ◽  
C Ormond ◽  
...  

2014 ◽  
Vol 7 (5) ◽  
pp. 235-243 ◽  
Author(s):  
Kathleen Abrahamson ◽  
Christine Mueller ◽  
Heather Wood Davila ◽  
Greg Arling

2020 ◽  
Vol 21 (9) ◽  
pp. 1331-1335.e1
Author(s):  
Helena Temkin-Greener ◽  
Sijiu Wang ◽  
Thomas Caprio ◽  
Dana B. Mukamel ◽  
Shubing Cai

2010 ◽  
Vol 58 (4) ◽  
pp. 627-635 ◽  
Author(s):  
Joseph G. Ouslander ◽  
Gerri Lamb ◽  
Mary Perloe ◽  
JoVonn H. Givens ◽  
Linda Kluge ◽  
...  

Author(s):  
Marilyn Rantz ◽  
A. Vogelsmeier ◽  
L. Popejoy ◽  
K. Canada ◽  
C. Galambos ◽  
...  

Abstract Objectives 1) Explain the financial benefit of potential revenue recapture (PRR) for non-billable days due to hospitalizations of nursing home (NH) residents using a six-year longitudinal analysis of 11 of 16 NHs participating in the Missouri Quality Initiative (MOQI); and 2) Discuss the work-flow benefits of early detection of changes in health status using qualitative data from all MOQI homes. Design A CMS funded demonstration project with full-time advanced practice registered nurses (APRN) and operations support team focused on reducing avoidable hospitalizations for long stay NH residents (2012–2020). Setting and Participants Setting was a sample of 11 of 16 US NHs participating in the CMS project. The NHs ranged in size between 121 and 321 beds located in urban and rural areas in one midwestern geographic region. Methods Financial and occupancy data were analyzed using descriptive methods. Data are readily available from most NH financial systems and include information about short and long stay residents to calculate non-billable days due to hospitalizations. Average hospital transfer rates per 1000 resident days were used. Qualitative data collected in MOQI informed the work-flow benefits analysis. Results There was over $2.6 million in actual revenue recapture due to hospitalization of long stay residents in the 11 participating NHs during five years, 2015–2019, with 2014 as baseline; savings to payers was more than $31 million during those same years. The PRR for both short and long stay residents combined totaled $32.5 million for six years (2014–2019); for each NH this ranged from $590,000 to over $5 million. On average, an additional $500,000 of revenue each year per 200 beds could have been recaptured by further reducing hospitalizations. Workflow improved for nurses and nursing assistants using INTERACT and focusing on early detection of health changes. Conclusions Reducing avoidable hospitalizations reduces costs to payers and increases revenue by substantially recapturing revenue lost each day of hospitalization. Implications Focusing nursing staff on early illness recognition and management of condition changes within NHs has benefits for residents as the stress of hospital transfer and resulting functional decline is avoided. Nurses and nursing assistants benefit from workflow improvements by focusing on early illness detection, managing most condition changes within NHs. NHs benefit financially from increased revenue by reducing empty bed days.


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