Document Detail


The response of small businesses to variation in the price of health insurance: results from a randomized controlled trial.
MedLine Citation:
PMID:  18227236     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
There is substantial interest in attempts to reduce the number of uninsured persons by providing subsidies to small businesses. To measure the responsiveness of small businesses to offers of subsidized coverage, the authors conducted a randomized controlled trial in which selected groups of San Diego businesses were offered the opportunity to purchase coverage at prices ranging from $20 to $100 per month for an employee-only policy. At $20 per month, an estimated 40% of eligible businesses purchased insurance; at $100 per month, 13% purchased insurance. Small businesses not currently offering insurance to employees are not very responsive to large reductions in the price of coverage. Programs to subsidize insurance for small businesses and their employees are unlikely to substantially reduce the number of uninsured persons.
Authors:
Richard Kronick; Louis C Olsen; Todd P Gilmer
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Publication Detail:
Type:  Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't     Date:  2008-01-28
Journal Detail:
Title:  Medical care research and review : MCRR     Volume:  65     ISSN:  1077-5587     ISO Abbreviation:  Med Care Res Rev     Publication Date:  2008 Apr 
Date Detail:
Created Date:  2008-03-11     Completed Date:  2008-05-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9506850     Medline TA:  Med Care Res Rev     Country:  United States    
Other Details:
Languages:  eng     Pagination:  187-206     Citation Subset:  IM    
Affiliation:
University of California, San Diego, California, USA. rkronick@ucsd.edu
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MeSH Terms
Descriptor/Qualifier:
California
Employer Health Costs / classification,  statistics & numerical data*
Health Benefit Plans, Employee / economics*,  statistics & numerical data
Health Maintenance Organizations / economics*,  statistics & numerical data
Humans
Logistic Models

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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