scholarly journals Health Care System-level Factors Associated With Performance on Medicare STAR Adherence Metrics in a Large, Integrated Delivery System

Medical Care ◽  
2015 ◽  
Vol 53 (4) ◽  
pp. 332-337 ◽  
Author(s):  
Julie A. Schmittdiel ◽  
Gregory A. Nichols ◽  
Wendy Dyer ◽  
John F. Steiner ◽  
Andrew J. Karter ◽  
...  
Author(s):  
Wayne A. Psek ◽  
Rebecca A. Stametz ◽  
Lisa D. Bailey-Davis ◽  
Daniel Davis ◽  
Jonathan Darer ◽  
...  

2010 ◽  
Vol 15 (sup3) ◽  
pp. 147-156 ◽  
Author(s):  
Wen-Ying Sylvia Chou ◽  
Lin Chun Wang ◽  
Lila J. Finney Rutten ◽  
Richard P. Moser ◽  
Bradford W. Hesse

2016 ◽  
Vol 51 (6) ◽  
pp. 763-776 ◽  
Author(s):  
Heather Palis ◽  
Kirsten Marchand ◽  
Defen Peng ◽  
Jill Fikowski ◽  
Scott Harrison ◽  
...  

1997 ◽  
Vol 10 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Sandra G. Leggat ◽  
Peggy Leatt

Competing demands for resources within the health care system require health care providers to ensure the most effective and efficient use of resources. The evidence from the United States, the United Kingdom and other jurisdictions suggests that integrated health delivery systems (IDS) may be a cost-effective way to meet the health care needs of a population. This article introduces a framework for use in monitoring and evaluating the performance of an integrated delivery system. The establishment of a consistently used evaluation framework for integrated delivery systems will provide the government, governing bodies and other evaluators with an effective assessment tool that will enable greater understanding of the impact of the IDS on the health care system. It will also provide information to enable ongoing performance improvements within the system.


2020 ◽  
Author(s):  
Felipe Lobelo ◽  
Alan X Bienvenida ◽  
Serena Leung ◽  
Armand N Mbanya ◽  
Elizabeth J. Leslie ◽  
...  

Introduction: Racial and ethnic minorities have shouldered a disproportioned burden of coronavirus disease 2019 (COVID-19) infection to date in the US, but data on the various drivers of these disparities is limited. Objectives: To describe the characteristics and outcomes of COVID-19 patients and explore factors associated with hospitalization risk by race. Methods: Case series of 448 consecutive patients with confirmed COVID-19 seen at Kaiser Permanente Georgia (KPGA), an integrated health care system serving the Atlanta metropolitan area, from March 3 to May 12, 2020. KPGA members with laboratory-confirmed COVID-19. Multivariable analyses for hospitalization risk also included an additional 3489 persons under investigation (PUI) with suspected infection. COVID-19 treatment and outcomes, underlying comorbidities and quality of care management metrics, socio-demographic and other individual and community-level social determinants of health (SDOH) indicators. Results: Of 448 COVID-19 positive members, 68,3% was non-Hispanic Black (n=306), 18% non-Hispanic White (n=81) and 13,7% Other race (n=61). Median age was 54 [IQR 43-63) years. Overall, 224 patients were hospitalized, median age 60 (50-69) years. Black race was a significant factor in the Confirmed + PUI, female and male models (ORs from 1.98 to 2.19). Obesity was associated with higher hospitalization odds in the confirmed, confirmed + PUI, Black and male models (ORs from 1.78 to 2.77). Chronic disease control metrics (diabetes, hypertension, hyperlipidemia) were associated with lower odds of hospitalization ranging from 48% to 35% in the confirmed + PUI and Black models. Self-reported physical inactivity was associated with 50% higher hospitalization odds in the Black and Female models. Residence in the Northeast region of Atlanta was associated with lower hospitalization odds in the Confirmed + PUI, White and female models (ORs from 0.22 to 0.64) Conclusions: We found that non-Hispanic Black KPGA members had a disproportionately higher risk of infection and, after adjusting for covariates, twice the risk of hospitalization compared to other race groups. We found no significant differences in clinical outcomes or mortality across race/ethnicity groups. In addition to age, sex and comorbidity burden, pre-pandemic self-reported exercise, metrics on quality of care and control of underlying cardio-metabolic diseases, and location of residence in Atlanta were significantly associated with hospitalization risk by race groups. Beyond well-known physiologic and clinical factors, individual and community-level social indicators and health behaviors must be considered as interventions designed to reduce COVID-19 disparities and the systemic effects of racism are implemented.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S756-S756
Author(s):  
Aaron T Seaman ◽  
Melissa J Steffen ◽  
Karla Miller ◽  
Samantha Solimeo

Abstract The burden of osteoporosis, both on the health care system and individuals, is high. Despite this, a high percentage of patients with or at risk of osteoporosis are not identified, screened and treated appropriately. Delivering osteoporosis care to at-risk patients is complicated by a fractured health care delivery system. In this presentation, we present data from interviews with VA clinicians in order to identify challenges of osteoporosis care within the VA health care system. While clinicians reported initiating a range of bone health care delivery interventions, they identified challenges that inhibited long-term sustainability: 1) low prioritization of bone health among national and facility leadership; 2) fragmentation of clinical responsibility and care delivery; and 3) barriers endemic to the osteoporosis care delivery system. Our results indicate that, even within an integrated health care delivery system, significant coordination challenges exist.


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