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José J. Escarce

Researcher at University of California, Los Angeles

Publications -  300
Citations -  15331

José J. Escarce is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Health care & Health equity. The author has an hindex of 57, co-authored 292 publications receiving 14178 citations. Previous affiliations of José J. Escarce include Frederick S. Pardee RAND Graduate School & RAND Corporation.

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Language access services for Latinos with limited English proficiency: lessons learned from Hablamos Juntos.

TL;DR: The experience of HJ grantees provides guidance for organizations contemplating similar efforts and highlights the need for health care organizations to involve physicians in the design and adoption of language services.
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Take-up of public insurance and crowd-out of private insurance under recent CHIP expansions to higher income children.

TL;DR: The authors analyzed the effects of CHIP expansions from 2002 to 2009 on take-up of public coverage, crowd-out of private coverage, and rates of insurance coverage among children in families with incomes between 200 and 400 percent of the federal poverty line (FPL).
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Family structure and the treatment of childhood asthma.

TL;DR: In this paper, the authors assessed the effect of family structure on the treatment and outcomes of children with asthma using binary and ordinal logistic regression models adjusted for sociodemographic characteristics, parental experience in child-rearing and in caring for an asthmatic child and when appropriate, measures of children's health status.
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The Managed Care Backlash: Did Consumers Vote with Their Feet?

TL;DR: Examination of trends in HMO enrollment in all metropolitan communities from 1994 to 2000 finds the backlash is not evidenced in a large degree of consumer switching, and HMOs were more likely to maintain their presence in areas with high-cost growth and with greater managed care experience.
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Assessing Physicians Estimates of the Probability of Coronary Artery Disease The Influence of Patient Characteristics

TL;DR: It is concluded that physicians make consistent errors in the use of probability estimates, and the quality of these estimates depends on patient characteristics such as type of chest pain and true likelihood of disease.