Abstract 3023: The Association of Insurance Status, Quality of Care, and In-Hospital Outcomes among Patients Hospitalized with Intracerebral Hemorrhage: Findings from GWTG-Stroke

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Michael L James ◽  
Julian P Yand ◽  
Maria Grau-Sepulveda ◽  
DaiWai M Olson ◽  
Deepak L Bhatt ◽  
...  

Introduction Intracerebral hemorrhage (ICH) can be a devastating condition, requiring intensive intervention. Yet, few studies have examined whether patient insurance status is associated with ICH care or acute outcomes. Methods Using data from 1,711 sites participating in GWTG-Stroke database from April 2003 to April 2011, we identified 156,848 non-transferred subjects with ICH who had known discharge status. Insurance status was categorized as private, Medicaid, Medicare or none. We explored associations between lack of insurance (using private insurance status as the reference group) and in-hospital outcomes (mortality, ambulatory status, & length of stay) and quality of care measures (DVT prophylaxis, smoking cessation, dysphagia screening, stroke education, imaging times, & rehabilitation). We utilized multiple individual (including demographics and medical history) and hospital (including size, geographic region and academic teaching status)lcharacteristics as covariates. Results Subjects without insurance (n=10647) were younger (54.4 v. 71 years), more likely men (60.6 v. 50.8%), more likely black (33.2 v. 17.4%) or Hispanic (15.8 v. 7.9%), from the South (50.6 v. 38.9%), and had fewer vascular risk factors with the exception of smoking when compared with the overall subject population. Further, subjects without insurance were more likely to experience in-hospital mortality (25.9 v. 23.9%; adjusted OR 1.29) and longer length of stay (11.4 v. 7.8 days), but were more likely to receive all quality measures of care, be discharged home (52.1 v. 36.1%), and ambulate independently (47.5 v. 38.5%) at discharge compared with subjects with private insurance (n=40033). Conclusions Among GWTG-Stroke participating hospitals, ICH patients without insurance were more likely to die while in the hospital but experienced higher quality measures of care and were more likely to ambulate independently at discharge should they survive.

2014 ◽  
Vol 23 (4) ◽  
pp. 350.2-351 ◽  
Author(s):  
P J Marang-van de Mheen ◽  
H F Lingsma ◽  
S Middleton ◽  
J Kievit ◽  
E W Steyerberg

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Ying Xian ◽  
Robert Holloway ◽  
Eric Smith ◽  
Lee Schwamm ◽  
Mathew Reeves ◽  
...  

Background: The rates of intracerebral hemorrhage (ICH) are disproportionally higher in minorities. While racial/ethnic differences in care persist in many areas of medicine, no study to date has examined whether ICH care processes or outcomes differ by patient race or ethnicity. Methods: We analyzed data from 123,623 ICH patients (83,216 white; 22,147 black; 10,519 Hispanic; and 7,741 Asian) hospitalized at 1,199 Get With The Guidelines-Stroke hospitals between 2003 and 2012. Multivariate logistic regression with generalized estimating equation was used to evaluate the association between race, stroke performance measures, and in-hospital outcomes. Results: Relative to white ICH patients, black, Hispanic, and Asian ICH patients were younger, more frequently had diabetes mellitus, hypertension, and more severe stroke (median National Institutes of Health Stroke Scale [NIHSS]:9, 10, 10, and 11, respectively, p<0.001). After adjusting for both patient- and hospital-level characteristics (Table), black ICH patients were more likely than whites to receive deep venous thrombosis prophylaxis, rehabilitation assessment, dysphagia screening, and stroke education, but less likely to receive smoking cessation counseling despite high prevalence of black current smokers. All minority groups had lower rates of in-hospital mortality (27.6%. 23.0%, 22.8%, and 25.3% for white, black, Hispanic, and Asian, respectively; p<0.001), but were more likely to experience a longer length of stay (median 5, 6, 6, and 6 days, respectively; p<0.001) than white patients. These differences remained consistent after further adjustment for NIHSS among NIHSS complete records (N=47,408). Conclusion: We found no clear pattern of racial or ethnic differences in the quality of care delivered to ICH patients. Black, Hispanic, and Asian ICH patients had lower risk-adjusted mortality compared with their white counterparts.


2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 255-255
Author(s):  
Tracy E. Spinks ◽  
Lindsey Bandini ◽  
Amie Cook ◽  
Hong Gao ◽  
Nicholas Jennings ◽  
...  

255 Background: While there is increased attention on the importance of quality measurement in oncology, especially with the rise of value-based payment, limited data exist on national averages and practice level variation for proposed quality measures to establish benchmarks and targets for quality improvement initiatives or value-based contracts. Methods: UnitedHealthcare (UHC) developed peer comparison reports for eight cross cutting quality measures for practices with an active contract for at least one of its commercial, Medicare or Medicaid health plans and ≥1 provider from the following specialties: gynecologic oncology, hematology/oncology, pediatric hematology/oncology, radiation oncology, or surgical oncology. Adherence to the quality measures below was calculated using a mix of claims data, clinical data from a prior authorization for cancer therapy, and CMS MIPS data. Patients were attributed through an algorithm that selected the most probable physician responsible for the patient’s care - responsible prior authorization provider, servicing provider or most recent visited provider prior to the treatment, varying by each measure. Dates of service differ by measure, ranging from 1/1/2019 through 12/31/2020. Results: We identified 5,828 unique tax identification numbers (TINs) with UHC members with cancer attributed to them during 2019-20. The number of practices included in the measurement cohort per measure varied significantly from 301 to 4,120 (tobacco screening and performance status, respectively). 2,422 TINs met the minimum patient count for at least one measure (≥10 patients or events). Overall performance ranged from 13.5% to 77.3% (hospice admission and PS documented) for measures where higher adherence reflects better quality of care. For measures where lower scores represent higher quality of care the range was 11.4% to 22.6% (hospice < 3 days and ED admission, respectively). Observed adherence was statistically better than expected for 0.5%-5.8% and statistically less than expected for 0.9%-5.6% of TINs in UHC’s network; however, more than half of the practices had insufficient sample size to make a determination. Conclusions: We observed substantial variation in quality across a national cohort of oncology practices. However, even for a large national payer, small sample sizes limited the assessment of a substantial number of practices.[Table: see text]


Author(s):  
Marilyn Rantz ◽  
G. F. Petroski ◽  
L. L. Popejoy ◽  
A. A. Vogelsmeier ◽  
K. E. Canada ◽  
...  

Abstract Objectives To measure the impact of advanced practice nurses (APRNs) on quality measures (QM) scores of nursing homes (NHs) in the CMS funded Missouri Quality Initiative (MOQI) that was designed to reduce avoidable hospitalizations of NH residents, improve quality of care, and reduce overall healthcare spending. Design A four group comparative analysis of longitudinal data from September 2013 thru December 2019. Setting NHs in the interventions of both Phases 1 (2012–2016) and 2 (2016–2020) of MOQI (n=16) in the St. Louis area; matched comparations in the same counties as MOQI NHs (n=27); selected Phase 2 payment intervention NHs in Missouri (n=24); NHs in the remainder of the state (n=406). Participants NHs in Missouri Intervention: Phase 1 of The Missouri Quality Initiative (MOQI), a Centers for Medicare and Medicaid (CMS) Innovations Center funded research initiative, was a multifaceted intervention in NHs in the Midwest, which embedded full-time APRNs in participating NHs to reduce hospitalizations and improve care of NH residents. Phase 2 extended the MOQI intervention in the original intervention NHs and added a CMS designed Payment Intervention; Phase 2 added a second group of NHs to receive the Payment. Intervention Only. Measurements Eight QMs selected by CMS for the Initiative were falls, pressure ulcers, urinary tract infections, indwelling catheters, restraint use, activities of daily living, weight loss, and antipsychotic medication use. For each of the monthly QMs (2013 thru 2019) an unobserved components model (UCM) was fitted for comparison of groups. Results The analysis of QMs reveals that that the MOQI Intervention + Payment group (group with the embedded APRNs) outperformed all comparison groups: matched comparison with neither intervention, Payment Intervention only, and remainder of the state. Conclusion These results confirm the QM analyses of Phase 1, that MOQI NHs with full-time APRNs are effective to improve quality of care.


Author(s):  
Fiona Ecarnot ◽  
François Schiele

This chapter will describe the use of performance measures and quality measures in the assessment of the quality of care delivered to patients with acute cardiovascular disease. It gives a brief recap of the major landmarks in the development of the use of performance measures, and goes on to explain the different approaches to measuring processes of care and to measuring outcomes. The utility and construction of composite measures is also described.


1997 ◽  
Vol 17 (1) ◽  
pp. 34-38 ◽  
Author(s):  
SC Thomson ◽  
S Wells ◽  
M Maxwell

Prompt remove of chest tubes by RNs has allowed earlier and more aggressive ambulation of our patients and, along with other interventions, has decreased length of stay by 1.5 days while improving quality of care. Proper education, both didactic and clinical, is the key component in preparing RNs to safely and effectively perform this procedure.


Circulation ◽  
2008 ◽  
Vol 117 (20) ◽  
pp. 2637-2644 ◽  
Author(s):  
Jennifer L. Schuberth ◽  
Tom A. Elasy ◽  
Javed Butler ◽  
Robert Greevy ◽  
Theodore Speroff ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document