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      Less Is More in Presenting Quality Information to Consumers

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          Abstract

          Much effort has been put into improving measures of health care quality. Although early research suggested that consumers made little use of quality reports, most reports were based on nonstandardized measures and were not user friendly. Information presentation approaches, however, will have a significant influence on what information is attended and used. The present research examines whether information presentation methods differentially influence consumers who differ in numeric skills. Results of three studies support the idea that “less is more” when presenting consumers with comparative performance information to make hospital choices. Results were particularly strong for those lower in numeracy, who had higher comprehension and made better choices when the information-presentation format was designed to ease the cognitive burden and highlight the meaning of important information. These findings have important implications for the sponsors of comparative quality reports designed to inform consumer decision making in health care.

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          General Performance on a Numeracy Scale among Highly Educated Samples

          Numeracy, how facile people are with basic probability and mathematical concepts, is associated with how people perceive health risks. Performance on simple numeracy problems has been poor among populations with little as well as more formal education. Here, we examine how highly educated participants performed on a general and an expanded numeracy scale. The latter was designed within the context of health risks.
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            The construction of preference.

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              The Public Release of Performance Data

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                Author and article information

                Journal
                Medical Care Research and Review
                Med Care Res Rev
                SAGE Publications
                1077-5587
                1552-6801
                April 2007
                August 19 2016
                April 2007
                : 64
                : 2
                : 169-190
                Affiliations
                [1 ]Decision Research, Eugene University of Oregon, Eugene
                [2 ]University of Oregon, Eugene
                [3 ]Decision Research, Eugene
                Article
                10.1177/10775587070640020301
                17406019
                27d5dbfd-bd3c-429b-a122-6e200506a7f1
                © 2007

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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