Abstract：
OBJECTIVE:To determine whether (a) quality in schizophrenia care varies by race/ethnicity and over time and (b) these patterns differ across counties within states. DATA SOURCES:Medicaid claims data from California, Florida, New York, and North Carolina during 2002-2008. STUDY DESIGN:We studied black, Latino, and white Medicaid beneficiaries with schizophrenia. Hierarchical regression models, by state, quantified person and county effects of race/ethnicity and year on a composite quality measure, adjusting for person-level characteristics. PRINCIPAL FINDINGS:Overall, our cohort included 164,014 person-years (41-61 percent non-whites), corresponding to 98,400 beneficiaries. Relative to whites, quality was lower for blacks in every state and also lower for Latinos except in North Carolina. Temporal improvements were observed in California and North Carolina only. Within each state, counties differed in quality and disparities. Between-county variation in the black disparity was larger than between-county variation in the Latino disparity in California, and smaller in North Carolina; Latino disparities did not vary by county in Florida. In every state, counties differed in annual changes in quality; by 2008, no county had narrowed the initial disparities. CONCLUSIONS:For Medicaid beneficiaries living in the same state, quality and disparities in schizophrenia care are influenced by county of residence for reasons beyond patients' characteristics.
journal_name
Health Serv Resjournal_title
Health services researchauthors
Horvitz-Lennon M,Volya R,Garfield R,Donohue JM,Lave JR,Normand SLdoi
10.1111/1475-6773.12296subject
Has Abstractpub_date
2015-10-01 00:00:00pages
1710-29issue
5eissn
0017-9124issn
1475-6773journal_volume
50pub_type
杂志文章abstract：OBJECTIVE:To examine the effect of worker heterogeneity, firm size, and establishment size on the breadth of employer health insurance offerings. DATA SOURCES:The data were drawn from the 1993 Robert Wood Johnson Foundation Employer Health Insurance Survey of 22,000 business establishments selected randomly from ten s...
journal_title：Health services research
pub_type： 杂志文章
doi：
更新日期：2001-10-01 00:00:00
abstract：OBJECTIVES:To assess the use and timing of scheduled cesareans and other categories of cesarean delivery and the prevalence of neonatal morbidity among cesareans in Oregon before and after the implementation of Oregon's statewide policy limiting elective early deliveries. DATA SOURCES:Oregon vital statistics records, ...
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abstract：OBJECTIVE:To examine the impact of mandatory HMO enrollment for Medicaid-covered pregnant women on prenatal care use, smoking, Cesarean section (C-section) use, and birth weight. DATA SOURCES/STUDY SETTING:Linked birth certificate and Medicaid enrollment data from July 1993 to June 1998 in 10 Ohio counties, 6 that imp...
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doi：10.1111/j.1475-6773.2004.00260.x
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abstract：OBJECTIVE:To determine if the incidence of psychiatric emergencies involving drugs or alcohol supports the argument that mentally ill persons contribute to elevated mortality during the days following disbursement of private earnings and public income transfers. STUDY DESIGN:Interrupted time-series using Box-Jenkins m...
journal_title：Health services research
pub_type： 杂志文章
doi：
更新日期：2000-10-01 00:00:00
abstract：OBJECTIVE:. To examine the effect of premiums and benefits on the health plan choices of older enrollees who choose Federal Employees Health Benefits Program (FEHBP) health plans as their primary payer. DATA SOURCES:Administrative enrollment data from the Office of Personnel Management (OPM) and plan premiums and bene...
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pub_type： 杂志文章
doi：10.1111/j.1475-6773.2006.00580.x
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abstract：OBJECTIVE:To investigate the role of smoking cessation in body weight. DATA SOURCES:2004-2005 and 2009-2010 Behavioral Risk Factor Surveillance Surveys (BRFSS) (N = 349,000), Centers for Disease Control and Prevention; Tax Burden on Tobacco (Orzechowski and Walker 2010). STUDY DESIGN:The Gaussian treatment effect mod...
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doi：10.1111/j.1475-6773.2012.01438.x
更新日期：2013-02-01 00:00:00
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更新日期：1991-04-01 00:00:00
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