Literature DB >> 18661390

A framework for health numeracy: how patients use quantitative skills in health care.

Marilyn M Schapira1, Kathlyn E Fletcher, Mary Ann Gilligan, Toni K King, Purushottam W Laud, B Alexendra Matthews, Joan M Neuner, Elisabeth Hayes.   

Abstract

Our objective of this study is to develop a conceptual framework for the construct of health numeracy based on patient perceptions, using a cross-sectional, qualitative design. Interested participants (n=59) meeting eligibility criteria (age 40-74, English speaking) were assigned to one of six focus groups stratified by gender and educational level (low, medium, high). Fifty-three percent were male, and 47% were female. Sixty-one percent were white non-Hispanic, and 39% were of minority race or ethnicity. Participants were randomly selected from three primary care sites associated with an academic medical center. Focus group discussions were held in May 2004 and focused on how numbers are used in the health care setting. Data were presented from clinical trials to further explore how quantitative information is used in health communication and decision making. Focus groups were audio and videotaped; verbatim transcripts were prepared and analyzed. A framework of health numeracy was developed to reflect the themes that emerged. Three broad conceptual domains for health numeracy were identified: primary numeric skills, applied health numeracy, and interpretive health numeracy. Across domains, results suggested that numeracy contains an emotional component, with both positive and negative affect reflected in patient numeracy statements. We conclude that health numeracy is a multifaceted construct that includes applied and interpretive components and is influenced by patient affect.

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Year:  2008        PMID: 18661390      PMCID: PMC4162627          DOI: 10.1080/10810730802202169

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  40 in total

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3.  Can patients interpret health information? An assessment of the medical data interpretation test.

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Journal:  Med Decis Making       Date:  2005 May-Jun       Impact factor: 2.583

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  25 in total

1.  Validation of a Short, 3-Item Version of the Subjective Numeracy Scale.

Authors:  Candace D McNaughton; Kerri L Cavanaugh; Sunil Kripalani; Russell L Rothman; Kenneth A Wallston
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2.  Improving Communication in Breast Cancer Treatment Consultation: Use of a Computer Test of Health Numeracy.

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Journal:  J Womens Health (Larchmt)       Date:  2019-06-25       Impact factor: 2.681

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Authors:  Liana Fraenkel; Meaghan Cunningham; Ellen Peters
Journal:  Med Decis Making       Date:  2014-04-23       Impact factor: 2.583

4.  The Influence of Health Numeracy and Health Warning Label Type on Smoking Myths and Quit-Related Reactions.

Authors:  Elizabeth G Klein; Amanda J Quisenberry; Abigail B Shoben; Dan Romer; Ellen Peters
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5.  Development and validation of the numeracy understanding in Medicine Instrument short form.

Authors:  Marilyn M Schapira; Cindy M Walker; Tamara Miller; Kathlyn E Fletcher; Pamela S Ganschow; Elizabeth A Jacobs; Diana Imbert; Maria O'Connell; Joan M Neuner
Journal:  J Health Commun       Date:  2014

6.  Development and Validation of the Spanish Numeracy Understanding in Medicine Instrument.

Authors:  Elizabeth A Jacobs; Cindy M Walker; Tamara Miller; Kathlyn E Fletcher; Pamela S Ganschow; Diana Imbert; Maria O'Connell; Joan M Neuner; Marilyn M Schapira
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7.  Impact of literacy and numeracy on motivation for behavior change after diabetes genetic risk testing.

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8.  Evaluating existing measures of health numeracy using item response theory.

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9.  Linking numeracy and asthma-related quality of life.

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Review 10.  How numeracy influences risk comprehension and medical decision making.

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Journal:  Psychol Bull       Date:  2009-11       Impact factor: 17.737

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