Abstract W P296: Care Trajectories and Costs after Ischemic Stroke for Patients in the Veterans Health Administration

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Greg Arling ◽  
Susan Ofner ◽  
Laura Meyers ◽  
Joanne Daggy ◽  
Mat Reeves ◽  
...  

Background: Patients vary greatly in their use of care after hospitalization for stroke. We classified stroke patients according to their care trajectories and associated costs in the 12-month period after hospital discharge. Methods: We followed a cohort of 3,811 veterans for one year after hospitalization with ischemic stroke in Veterans Health Administration facilities in 2007. Three discharge outcomes -- nursing home care, home care, and mortality -- were modeled jointly with Latent Class Growth Analysis. VA and Medicare costs were obtained for use of institutional care (inpatient acute, rehabilitation facility, and nursing home) and home care (home health, other home care, and outpatient rehabilitation). Covariates included patient age, NIHSS stroke severity and FIM scores measured at hospital discharge. Results: Members of the cohort had one of five care trajectories: 49% had a Rapid Recovery with little or no use of care in the 12 months after discharge, 15% had a Gradual Recovery with initially high nursing or home care use that tapered off over time, 9% had consistent use of Long-Term Home Care (HC), 13% had consistent use of Long-Term Nursing Home Care (NH), and 14% had an Unstable trajectory with multiple transitions between long-term and acute care. Patients with Long-Term NH and Unstable trajectories had the highest average total costs (greater than $60,000 per person) and patients with the Rapid Recovery trajectory had the lowest cost (less than $11,000 per person). Medicare accounted for 23% of total costs. In a multinomial regression model, the likelihood of a Long-Term NH, Long-Term HC or an Unstable Trajectory was greatest for persons with more severe strokes (higher NIHSS score), more disability (lower FIM score), and age 65 or older. About half of the veterans received rehabilitation services. Most rehabilitation was delivered in the NH. There was no clear association between use of rehabilitation and subsequent care trajectory. Conclusions: Care trajectories were explained partly by veteran health and functional status. However, we need a better understanding of system factors shaping care trajectories, particularly access to and use of rehabilitation services.

Author(s):  
Josephine C. Jacobs ◽  
Todd H. Wagner ◽  
Ranak Trivedi ◽  
Karl Lorenz ◽  
Courtney H. Van Houtven

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Kori Sauser ◽  
Dawn M Bravata ◽  
Rodney A Hayward ◽  
Deborah A Levine

Objective: Tissue plasminogen activator (tPA) is under-utilized in Veterans Health Administration medical centers (VAMCs); delays in brain imaging may be a significant barrier. Our primary objective was to describe door-to-imaging time (DIT) patterns among veterans with acute ischemic stroke (IS). We identified patient-level predictors of faster imaging times and decomposed variation in DIT attributable to hospital and patient-level factors. Methods: Detailed medical record reviews were done on 5,000 acute IS patients admitted to any VAMC in 2007; this analysis included those with emergent brain imaging (CT/MRI within 6 hours). We used descriptive statistics to report DIT patterns and a series of random-intercept hierarchical linear regression models to identify predictors of DIT and to decompose variation in DIT. Results: Among the 2,681 acute IS patients emergently imaged in a VAMC, median DIT was 67.7 minutes (min) (IQR, 37.1-115.8 min). Among the 83 patients who were eligible for tPA, the median DIT was 45.9 min (IQR, 28.4-72.1 min) and 22% met the DIT<25 min guideline. Arrival from clinic and increased onset-to-arrival time were independently associated with slower DIT, whereas blood pressure on arrival >185/110 mm Hg was associated with faster DIT (Table). In the model without patient-level factors, 7.2% of variation in DIT was attributable to hospital. Adding patient-level predictors to the model explained 18.8% of the variation in DIT, but 6.4% of the variation remained attributable to case-mix-adjusted hospital variation. Despite this clinical substantial hospital variation, the low IS caseload at most hospitals made it impossible to reliably identify high- and low-performing facilities. Conclusion: There remains room for improvement in DIT for VAMC acute IS patients. Variation is attributable to patient and hospital factors, however, low case IS loads at most hospitals prevented reliable discrimination between high and low-performing centers.


2020 ◽  
Vol 26 (4) ◽  
pp. 327-342
Author(s):  
Theis Theisen

AbstractAn almost ideal demand system for long-term care is estimated using data from Norway, where the split of long-term care between home care and care in nursing homes is determined by municipalities. Previous literature has barely addressed what determines municipalities’ or other organizations’ allocations of resources to the sub-sectors of long-term care. The results show that home care is a luxury, while nursing home care is a necessity with respect to total expenditures on long-term care. Municipalities respond to high unit costs for home care by reducing that type of care. Municipalities are highly responsive to variations in the need for the two types of care and seem to provide a well-functioning insurance mechanism for long-term care. In the previous empirical literature, municipalities’ role as providers of insurance against the consequences of disabilities and frailty has received scant attention.


2020 ◽  
Vol 55 (6) ◽  
pp. 973-982
Author(s):  
R. Tamara Konetzka ◽  
Daniel H. Jung ◽  
Rebecca J. Gorges ◽  
Prachi Sanghavi

2017 ◽  
Vol 40 (7) ◽  
pp. 687-711
Author(s):  
Edward Alan Miller ◽  
Stefanie Gidmark ◽  
Emily Gadbois ◽  
James L. Rudolph ◽  
Orna Intrator

Veterans enrolled within the Veterans Health Administration (VHA) of the U.S. Department of Veterans Affairs (VA) may receive nursing home (NH) care in VHA-operated Community Living Centers (CLCs), State Veterans Homes (SVHs), or community NHs, which may or may not be under contract with the VHA. This study examined VHA staff perceptions of how Veterans’ eligibility for VA and other payment impacts NH referrals within VA Medical Centers (VAMCs). Thirty-five semistructured interviews were performed with discharge planning and contracting staff from 12 VAMCs from around the country. VA staff highlights the preeminent role that VA priority status played in determining placement in VA-paid NH care. VHA staff reported that Veterans’ placement in a CLC, community NH, or SVH was contingent, in part, on potential payment source (VA, Medicare, Medicaid, and other) and anticipated length of stay. They also reported that variation in Veteran referral to VA-paid NH care across VAMCs derived, in part, from differences in local and regional policies and markets. Implications for NH referral within the VHA are drawn.


PM&R ◽  
2012 ◽  
Vol 4 ◽  
pp. S202-S202
Author(s):  
Kyaw Nyein ◽  
Wendy Stuttle ◽  
Lynne Turner-Stokes ◽  
Heather Williams

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