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      Assessing values for health: numeracy matters.

      Medical Decision Making
      Aged, Attitude to Health, Decision Making, Educational Status, Female, Health Status, Humans, Mathematics, Middle Aged, Minnesota, New Hampshire, Patient Participation, psychology, statistics & numerical data, Quality of Life, Value of Life

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          Abstract

          Patients' values are fundamental to decision models, cost-effectiveness analyses, and pharmacoeconomic analyses. The standard methods used to assess how patients value different health states are inherently quantitative. People without strong quantitative skills (i.e., low numeracy) may not be able to complete these tasks in a meaningful way. To determine whether the validity of utility assessments depends on the respondent's level of numeracy, the authors conducted in-person interviews and written surveys and assessed utility for the current health for 96 women volunteers. Numeracy was measured using a previously validated 3-item scale. The authors examined the correlation between self-reported health and utility for current health (assessed using the standard gamble, time trade-off, and visual analog techniques) across levels of numeracy. For half of the women, the authors also assessed standard gamble utility for 3 imagined health states (breast cancer, heart disease, and osteoporosis) and asked how much the women feared each disease. Respondent ages ranged from 50 to 79 years (mean = 63), all were high school graduates, and 52% had a college or postgraduate degree. Twenty-six percent answered 0 or only 1 of the numeracy questions correctly, 37% answered 2 correctly, and 37% answered all 3 correctly. Among women with the lowest level of numeracy, the correlation between utility for current health and self-reported health was in the wrong direction (i.e., worse health valued higher than better health): for standard gamble, Spearman r=-0.16, P = 0.44;for time trade-off, Spearman r=-0.13, P=0.54. Among the most numerate women, the authors observed a fair to moderate positive correlation with both standard gamble (Spearman r=0.22, P=0.19) and time trade-off (Spearman r=0.50, P=0.002). In contrast, using the visual analog scale, the authors observed a substantial correlation in the expected direction at all levels of numeracy (Spearman r= 0.82, 0.50, and 0.60 for women answering 0-1, 2, and 3 numeracy questions, respectively; all Ps < or = 0.003). With regard to the imagined health states, the most feared disease had the lowest utility for 35% of the women with the lowest numeracy compared to 76% of the women with the highest numeracy (P=0.03). The validity of standard utility assessments is related to the subject's facility with numbers. Limited numeracy may be an important barrier to meaningfully assessing patients' values using the standard gamble and time trade-off techniques.

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          Health Values of Hospitalized Patients 80 Years or Older

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            What outcomes matter to patients?

            This study estimates the relative value to patients of physical, mental, and social health when making treatment decisions. Despite recommendations to use patient preferences to guide treatment decisions, little is known about how patients value different dimensions of their health status. Cross-sectional data from quasi-experimental, prospective study. Forty-six primary care clinics in managed care organizations in California, Texas, Minnesota, Maryland, and Colorado. Consecutive adult outpatients (n = 16,689) visiting primary care providers. Medical Outcomes Study 12-Item Short Form (SF-12) health-related quality of life and patient preferences for their current health status, as assessed by standard gamble and time trade-off utility methods, were measured. Only 5% of the variance in standard gamble and time trade-off was explained by the SF-12. Within the SF-12, physical health contributes substantially to patient preferences (35%-55% of the relative variance explained); however, patients also place a high value on their mental health (29%-42%) and on social health (16%-23%). The contribution of mental health to preferences is stronger in patients with chronic conditions. Patient preferences, which should be driving treatment decisions, are related to mental and social health nearly as much as they are to physical health. Thus, medical practice should strive to balance concerns for all three health domains in making treatment decisions, and health care resources should target medical treatments that improve mental and social health outcomes.
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              Health literacy and numeracy.

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