OBJECTIVE: To assess the effect of wireless telephone substitution in a survey of health care reform opinions. DATA SOURCE: Survey of New Jersey adults conducted by landline and wireless telephones from June 1 to July 9, 2007. STUDY DESIGN: Eighty-one survey measures are compared by wireless status. Logistic regression is used to confirm landline-wireless gaps in support for coverage reforms, controlling for population differences. Weights adjust for selection probability, complex sample design, and demographic distributions. PRINCIPAL FINDINGS: Significant differences by wireless status were found in many survey measures. Wireless users were significantly more likely to favor coverage reforms. Higher support for government-sponsored universal coverage, income-related state coverage subsidies, and an individual mandate remain after adjustment for demographic variables. CONCLUSIONS: Opinion polls excluding wireless users are likely to understate support for coverage reforms.
OBJECTIVE: To assess the effect of wireless telephone substitution in a survey of health care reform opinions. DATA SOURCE: Survey of New Jersey adults conducted by landline and wireless telephones from June 1 to July 9, 2007. STUDY DESIGN: Eighty-one survey measures are compared by wireless status. Logistic regression is used to confirm landline-wireless gaps in support for coverage reforms, controlling for population differences. Weights adjust for selection probability, complex sample design, and demographic distributions. PRINCIPAL FINDINGS: Significant differences by wireless status were found in many survey measures. Wireless users were significantly more likely to favor coverage reforms. Higher support for government-sponsored universal coverage, income-related state coverage subsidies, and an individual mandate remain after adjustment for demographic variables. CONCLUSIONS: Opinion polls excluding wireless users are likely to understate support for coverage reforms.
Authors: Robert J Blendon; Drew E Altman; Claudia Deane; John M Benson; Mollyann Brodie; Tami Buhr Journal: N Engl J Med Date: 2008-01-24 Impact factor: 91.245
Authors: Carissa M Rocheleau; Paul A Romitti; Stacey Hockett Sherlock; Wayne T Sanderson; Erin M Bell; Charlotte Druschel Journal: BMC Public Health Date: 2012-07-31 Impact factor: 3.295