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Does overcrowding and health insurance type impact patient outcomes in emergency departments?
Araujo, Pedro de; Khraiche, Maroula; Tukan, Andrea - In: Health economics review 3 (2013) 25, pp. 1-7
We examine the impact of Emergency Department (ED) overcrowding on wait times and patient outcomes using a unique cross section of about 32,000 patients for an ED located in the Southwestern United States. We construct a measure of a patient’s outcome and estimate the extent to which it is...
Persistent link: https://www.econbiz.de/10011593342
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Association Between Insurance Status and Admission Rate for Patients Evaluated in the Emergency Department
Prah Ruger, Jennifer; Lewis, Lawrence; Richter, Christopher - 2007
Objectives: To determine if differences exist in hospital and intensive care unit (ICU)/operating room admission rates … based on health insurance status. Methods: This was a retrospective, cross-sectional study of data from hospital clinical … and financial records for all 2001 emergency department (ED) visits (80,209) to an academic urban hospital. Hospital …
Persistent link: https://www.econbiz.de/10014054216
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Does access to free health insurance crowd-out private transfers? : evidence from Mexico’s Seguro Popular
Orraca-Romano, Pedro P. - In: Latin American economic review : LAER ; official … 24 (2015), pp. 1-34
This study examines whether Seguro Popular, a free-of-charge publicly provided health insurance program for otherwise uninsured households, crowded-out private transfers in Mexico. Using data from the National Household Income and Expenditure Survey, the effects of Seguro Popular are identified...
Persistent link: https://www.econbiz.de/10011885538
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Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment
Denteh, Augustine; Liebert, Helge - 2022
We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the...
Persistent link: https://www.econbiz.de/10014083758
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Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment
Denteh, Augustine; Liebert, Helge - 2022
We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the...
Persistent link: https://www.econbiz.de/10013293271
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Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment
Denteh, Augustine; Liebert, Helge - 2022
We provide new insights into the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. Using nonparametric causal machine learning methods, we find economically meaningful treatment effect heterogeneity in the impact of Medicaid coverage on ED use. The effect...
Persistent link: https://www.econbiz.de/10013306868
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Who increases emergency department use? : new insights from the Oregon health insurance experiment
Denteh, Augustine; Liebert, Helge - 2022
We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the...
Persistent link: https://www.econbiz.de/10013170982
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Who increases emergency department use? : new insights from the Oregon health insurance experiment
Denteh, Augustine; Liebert, Helge - 2022
We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the...
Persistent link: https://www.econbiz.de/10013171842
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Risk Classification and Health Insurance
Dionne, Georges; Rothschild, Casey - 2012
Risk classification refers to the use of observable characteristics by insurers to group individuals with similar expected claims, compute the corresponding premiums, and thereby reduce asymmetric information. With perfect risk classification, premiums fully reflect the expected cost associated...
Persistent link: https://www.econbiz.de/10014166424
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Another perspective on the high uninsured-rate in the USA : crowding out of long term health insurance by the institutional setting of the U.S. health insurance system
Läufer, Ines - 2014
In the USA, previous to the implementation of the Affordable Care Act, about 50 million people under 65 years didnt́ have any (private or public) health insurance. A lot of them have been temporally insured via an employer sponsored group insurance. Because of the linkage to the job, group...
Persistent link: https://www.econbiz.de/10010465189