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      Measuring Numeracy without a Math Test: Development of the Subjective Numeracy Scale

      1 , 2 , 3 , 4 , 4 , 2
      Medical Decision Making
      SAGE Publications

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          Abstract

          Basic numeracy skills are necessary before patients can understand the risks of medical treatments. Previous research has used objective measures, similar to mathematics tests, to evaluate numeracy. To design a subjective measure (i.e., self-assessment) of quantitative ability that distinguishes low- and high-numerate individuals yet is less aversive, quicker to administer, and more usable for telephone and Internet surveys than existing numeracy measures. Paper-and-pencil questionnaires. The general public (N = 703) surveyed at 2 hospitals. Forty-nine subjective numeracy questions were compared to measures of objective numeracy. An 8-item measure, the Subjective Numeracy Scale (SNS), was developed through several rounds of testing. Four items measure people's beliefs about their skill in performing various mathematical operations, and 4 measure people's preferences regarding the presentation of numerical information. The SNS was significantly correlated with Lipkus and others' objective numeracy scale (correlations: 0.63-0.68) yet was completed in less time (24 s/item v. 31 s/item, P < 0.05) and was perceived as less stressful (1.62 v. 2.69, P < 0.01) and less frustrating (1.92 v. 2.88, P < 0.01). Fifty percent of participants who completed the SNS volunteered to participate in another study, whereas only 8% of those who completed the Lipkus and others scale similarly volunteered (odds ratio = 11.00, 95% confidence interval = 2.14-56.65). The SNS correlates well with mathematical test measures of objective numeracy but can be administered in less time and with less burden. In addition, it is much more likely to leave participants willing to participate in additional research and shows much lower rates of missing or incomplete data.

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          Most cited references18

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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 test of functional health literacy in adults

            To develop a valid, reliable instrument to measure the functional health literacy of patients.
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              The relationship of patient reading ability to self-reported health and use of health services.

              This study examined the relationship of functional health literacy to self-reported health and use of health services. Patients presenting to two large, urban public hospitals in Atlanta, Ga, and Torrance, Calif, were administered a health literacy test about their overall health and use of health care services during the 3 months preceding their visit. Patients with inadequate functional health literacy were more likely than patients with adequate literacy to report their health as poor. Number of years of school completed was less strongly associated with self-reported health. Literacy was not related to regular source of care or physician visits, but patients in Atlanta with inadequate literacy were more likely than patients with adequate literacy to report a hospitalization in the previous year. Low literacy is strongly associated with self-reported poor health and is more closely associated with self-reported health than number of years of school completed.
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                Author and article information

                Journal
                Medical Decision Making
                Med Decis Making
                SAGE Publications
                0272-989X
                1552-681X
                September 14 2007
                September 2007
                September 14 2007
                September 2007
                : 27
                : 5
                : 672-680
                Affiliations
                [1 ]VA Health Services Research &amp; Development Center for Practice Management and Outcomes Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, Center for Behavioral and Decision Sciences in Medicine, Ann Arbor, Michigan, Division of General Internal Medicine, University of Michigan, Ann Arbor, Michigan,
                [2 ]VA Health Services Research &amp; Development Center for Practice Management and Outcomes Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, Center for Behavioral and Decision Sciences in Medicine, Ann Arbor, Michigan, Division of General Internal Medicine, University of Michigan, Ann Arbor, Michigan
                [3 ]VA Health Services Research &amp; Development Center for Practice Management and Outcomes Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, Center for Behavioral and Decision Sciences in Medicine, Ann Arbor, Michigan, Division of General Internal Medicine, University of Michigan, Ann Arbor, Michigan, Department of Psychology, University of Michigan, Ann Arbor, Michigan
                [4 ]Center for Behavioral and Decision Sciences in Medicine, Ann Arbor, Michigan
                Article
                10.1177/0272989X07304449
                17641137
                8f06c4e8-a325-4d9a-af3d-7572c54d72a8
                © 2007

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