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Numeracy and Communication with Patients: They Are Counting on Us

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Abstract

Patient-centered interactive communication between physicians and patients is recommended to improve the quality of medical care. Numerical concepts are important components of such exchanges and include arithmetic and use of percentages, as well as higher level tasks like estimation, probability, problem-solving, and risk assessment - the basis of preventive medicine. Difficulty with numerical concepts may impede communication. The current evidence on prevalence, measurement, and outcomes related to numeracy is presented, along with a summary of best practices for communication of numerical information. This information is integrated into a hierarchical model of mathematical concepts and skills, which can guide clinicians toward numerical communication that is easier to use with patients.

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References

  1. Apter AJ, Cheng J, Small D, et al. Asthma Numeracy Skill and Health Literacy. J Asthma. 2006;43:705–10.

    Article  PubMed  Google Scholar 

  2. Baker DW, Gazmararian JA, Williams MV, et al. Functional health literacy and the risk of hospital admission among Medicare managed care enrollees. Am J Public Health. 2002;92(8):1278–83.

    Article  PubMed  Google Scholar 

  3. Gazmararian JA, Baker DW, Williams MV, et al. Health literacy among Medicare enrollees in a managed care organization. JAMA. 1999;281(6):545–51.

    Article  PubMed  CAS  Google Scholar 

  4. Nielson-Bohlman L, Panzer A, Kindig D, eds. Health Literacy: A Prescription to End Confusion. Washington, D.C.: National Academies Press: 2004.

  5. Schillinger D, Grumbach K, Piette J, et al. Association of health literacy with diabetes outcomes. JAMA. 2002;288(4):475–82.

    Article  PubMed  Google Scholar 

  6. Peters E, Hibbard J, Slovic P, Dieckmann N. Numeracy skill and the communication, comprehension, and use of risk-benefit information. Health Aff (Project Hope). 2007;26(3):741–8.

    Article  Google Scholar 

  7. Peters E, Dieckmann N, Dixon A, Hibbard JH, Mertz CK. Less is more in presenting quality information to consumers. Med Care Res Rev. 2007;64(2):169–90.

    Article  PubMed  Google Scholar 

  8. Wong MD, Shapiro MF, Boscardin WJ, Ettner SL. Contribution of major diseases to disparities in mortality. N Engl J Med. 2002;347(20):1585–92.

    Article  PubMed  Google Scholar 

  9. Rothman RL, DeWalt DA, Malone R, et al. Influence of patient literacy on the effectiveness of a primary care-based diabetes disease management program. JAMA. 2004;292(14):1711–6.

    Article  PubMed  CAS  Google Scholar 

  10. Osborn CY, Paasche-Orlow MK, Davis TC, Wolf MS. Health literacy an overlooked factor in understanding HIV health disparities. Am J Prev Med. 2007;33(5):374–8.

    Article  PubMed  Google Scholar 

  11. Cavanaugh K, Huizinga MM, Wallston KA, et al. Association of numeracy and diabetes control. Ann Intern Med. 2008;148(10):737–46.

    PubMed  Google Scholar 

  12. Montori VM, Rothman RL. Weakness in numbers. The challenge of numeracy in health care. J Gen Intern Med. 2005;20(11):1071–2.

    Article  PubMed  Google Scholar 

  13. Schwartz LM, Woloshin S, Black WC, Welch HG. The role of numeracy in understanding the benefit of screening mammography. Ann Intern Med. 1997;127(11):966–72.

    PubMed  CAS  Google Scholar 

  14. Parikh NS, Parker RM, Nurss JR, Baker DW, Williams MV. Shame and health literacy: the unspoken connection. Patient Educ Couns. 1996;27(1):33–9.

    Article  PubMed  CAS  Google Scholar 

  15. Kelly KM, Graves KD, Harper FW, Schmidt JE, Dickinson SL, Andrykowski MA. Assessing perceptions of cancer risk: does mode of assessment or numeracy matter? Cancer Detect Prev. 2007;31(6):465–73.

    Article  PubMed  Google Scholar 

  16. Rudd RE, Anderson JE, Oppenheimer S, Nath C. Health literacy: an update of medical and public health literature. In: Comings J, Garner B, Smith C, eds. Review of Adult Learning and Literacy, Volume 7. Mathway, N.J.: Lawrence Erlbaum Associates; 2007:175–204.

    Google Scholar 

  17. Gal I. Adult Numeracy Development. Cresskill, NJ: Hampton Press; 2000.

    Google Scholar 

  18. Foerch JS. Characteristics of adult learners of mathematics. In: Gal I, ed. Adult Numeracy Development. Cresskill, NJ: Hampton Press, Inc; 2000.

    Google Scholar 

  19. Ancker JS, Kaufman D. Rethinking health numeracy: a multidisciplinary literature review. J Am Med Inform Assoc. 2007;14(6):713–21.

    Article  PubMed  Google Scholar 

  20. Kirsch IS, Jungeblut A, Jenkins L, Kolstad A. Adult literacy in America: a first look at the results of the National Adult Literacy Survey (NALS). Washington, D.C.: National Center for Education Statistics, US Department of Education; 1993.

    Google Scholar 

  21. National Assessment of Adult Literacy. National Center for Education Statistics;Institute of Education Sciences; US Department of Education, 2003. (Accessed 10/30/2007, 2007, at http://nces.ed.gov/naal/.)

  22. Kutner M, Greenberg E, Jin Y, Paulsen C. The health literacy of America’s adults, Results from the 2003 National Assessment of Adult Literacy. In: National Center for Education Statistics, US Department of Education; 2006.

  23. Murray TS, Clermont Y, Binkely M. Measuring adult literacy and life skills: new frameworks for assessment. In. Ottawa, Ontario, Canada: Statistics Canada 2005:1–408.

  24. Lemke M, Miller D, Johnston J, et al. 2003 International Adult Literacy and Lifeskills Survey (ALL). Washington, DC: National Center for Education Statistics, US Department of Education; 2005.

    Google Scholar 

  25. Adult Literacy and Lifeskills Survey (ALL); Highlights from the 2003 International Adult Literacy and Lifeskills Survey (ALL). National Center for Education Statistics. (Accessed 7/22/2008, at http://nces.ed.gov/surveys/ALL/issuebrief.asp.)

  26. Anon. Wide Range Achievement Test (WRAT3). Wilmington, DE: Wide Range, Inc.; 1993.

    Google Scholar 

  27. Wide Range Achievement Test 4 (WRAT4). Wide Range, Inc. (Accessed August 11, 2008, at http://www3.parinc.com/products/product.aspx?Productid = WRAT4.)

  28. Davis TC, Long SW, Jackson RH, et al. Rapid estimate of adult literacy in medicine: a shortened screening instrument. Fam Med. 1993;25(6):391–5.

    PubMed  CAS  Google Scholar 

  29. Parker RM, Baker DW, Williams MV, Nurss JR. The test of functional health literacy in adults: a new instrument for measuring patients’ literacy skills. J Gen Intern Med. 1995;10(10):537–41.

    Article  PubMed  CAS  Google Scholar 

  30. Baker DW, Williams MV, Parker RM, Gazmararian JA, Nurss J. Development of a brief test to measure functional health literacy. Patient Educ Couns. 1999;38(1):33–42.

    Article  PubMed  CAS  Google Scholar 

  31. Weiss BD, Mays MZ, Martz W, et al. Quick assessment of literacy in primary care: the newest vital sign. Ann Fam Med. 2005;3(6):514–22.

    Article  PubMed  Google Scholar 

  32. Fagerlin A, Zikmund-Fisher BJ, Ubel PA, Jankovic A, Derry HA, Smith DM. Measuring numeracy without a math test: development of the subjective numeracy scale. Med Decis Making. 2007;27(5):672–80.

    Article  PubMed  Google Scholar 

  33. Schwartz LM, Woloshin S, Welch HG. Can patients interpret health information? An assessment of the medical data interpretation test. Med Decis Making. 2005;25(3):290–300.

    Article  PubMed  Google Scholar 

  34. Lipkus IM, Samsa G, Rimer BK. General performance on a numeracy scale among highly educated samples. Med Decis Making. 2001;21(1):37–44.

    Article  PubMed  CAS  Google Scholar 

  35. Donelle L, Hoffman-Goetz L, Arocha JF. Assessing health numeracy among community-dwelling older adults. J Health Commun. 2007;12(7):651–65.

    Article  PubMed  Google Scholar 

  36. Woloshin S, Schwartz LM, Welch HG. The effectiveness of a primer to help people understand risk: two randomized trials in distinct populations. Ann Intern Med. 2007;146(4):256–65.

    PubMed  Google Scholar 

  37. Rothman RL, Housam R, Weiss H, et al. Patient understanding of food labels: the role of literacy and numeracy. Am J Prev Med. 2006;31(5):391–8.

    Article  PubMed  Google Scholar 

  38. Haggstrom DA, Schapira MM. Black-white differences in risk perceptions of breast cancer survival and screening mammography benefit. J Gen Intern Med. 2006;21(4):371–7.

    Article  PubMed  Google Scholar 

  39. Sheridan SL, Pignone MP, Lewis CL. A randomized comparison of patients’ understanding of number needed to treat and other common risk reduction formats. J Gen Intern Med. 2003;18(11):884–92.

    Article  PubMed  Google Scholar 

  40. Halvorsen PA, Selmer R, Kristiansen IS. Different ways to describe the benefits of risk-reducing treatments: a randomized trial. Ann Intern Med. 2007;146(12):848–56.

    PubMed  Google Scholar 

  41. Krishnan JA, Riekert KA, McCoy JV, et al. Corticosteroid use after hospital discharge among high-risk adults with asthma. Am J Respir Crit Care Med. 2004;170(12):1281–5.

    Article  PubMed  Google Scholar 

  42. Kristiansen IS, Gyrd-Hansen D, Nexoe J, Nielsen JB. Number needed to treat: easily understood and intuitively meaningful? Theoretical considerations and a randomized trial. J Clin Epidemiol. 2002;55(9):888–92.

    Article  PubMed  Google Scholar 

  43. Sheridan SL, Pignone M. Numeracy and the medical student’s ability to interpret data. Eff Clin Pract. 2002;5(1):35–40.

    PubMed  Google Scholar 

  44. Forrow L, Taylor WC, Arnold RM. Absolutely relative: how research results are summarized can affect treatment decisions. Am J Med. 1992;92(2):121–4.

    Article  PubMed  CAS  Google Scholar 

  45. Estrada CA, Martin-Hryniewicz M, Peek BT, Collins C, Byrd JC. Literacy and numeracy skills and anticoagulation control. Am J Med Sci. 2004;328(2):88–93.

    Article  PubMed  Google Scholar 

  46. Aggarwal A, Speckman JL, Paasche-Orlow MK, Roloff KS, Battaglia TA. The role of numeracy on cancer screening among urban women. Am J Health Behav. 2007;31Suppl 1S57–68.

    PubMed  Google Scholar 

  47. Osborn CY, Weiss BD, Davis TC, et al. Measuring adult literacy in health care: performance of the newest vital sign. Am J Health Behav. 2007;31Suppl 1S36–46.

    PubMed  Google Scholar 

  48. Golbeck AL, Ahlers-Schmidt CR, Paschal AM, Dismuke SE. A definition and operational framework for health numeracy. Am J Prev Med. 2005;29(4):375–6.

    Article  PubMed  Google Scholar 

  49. Ginsburg L, Manly M, Schmitt MJ. The Components of Numeracy. NCSALL Occasional Paper. National Center for the Study of Adult Learning and Literacy (NCSALL) 2006.

  50. Gal I. Adults’ statistical literacy: meanings, components, responsibilities. Int Stat Rev. 2002;70:1–51.

    Article  Google Scholar 

  51. Schapira MM, Nattinger AB, McHorney CA. Frequency or probability? A qualitative study of risk communication formats used in health care. Med Decis Making. 2001;21(6):459–67.

    Article  PubMed  CAS  Google Scholar 

  52. Moore RA, Derry S, McQuay HJ, Paling J. What do we know about communicating risk? A brief review and suggestion for contextualising serious, but rare, risk, and the example of cox-2 selective and non-selective NSAIDs. Arthritis Research & Therapy. 2008;10(1):R20.

    Article  Google Scholar 

  53. Woloshin S, Schwartz LM, Moncur M, Gabriel S, Tosteson AN. Assessing values for health: numeracy matters. Med Decis Making. 2001;21(5):382–90.

    Article  PubMed  CAS  Google Scholar 

  54. Fagerlin A, Zikmund-Fisher BJ, Ubel PA, Jankovic A, Derry HA, Smith DM. Measuring numeracy without a math test: development of the Subjective Numeracy Scale. Med Decis Making. 2007;27(5):672–80.

    Article  PubMed  Google Scholar 

  55. Gyrd-Hansen D, Kristiansen IS, Nexoe J, Nielsen JB. How do individuals apply risk information when choosing among health care interventions? Risk Anal. 2003;23(4):697–704.

    Article  PubMed  Google Scholar 

  56. Pangaro L. A new vocabulary and other innovations for improving descriptive in-training evaluations. Acad Med. 1999;74(11):1203–7.

    Article  PubMed  CAS  Google Scholar 

  57. Feldman-Stewart D, Kocovski N, McConnell BA, Brundage MD, Mackillop WJ. Perception of quantitative information for treatment decisions. Med Decis Making. 2000;20(2):228–38.

    Article  PubMed  CAS  Google Scholar 

  58. Kirsch I. The framework used in developing and interpreting the International Adult Literacy Survey. Eur J Psychol Edu. 2001;16(3):335–61.

    Article  Google Scholar 

  59. McNeil BJ, Pauker SG, Sox HC Jr., Tversky A. On the elicitation of preferences for alternative therapies. N Engl J Med. 1982;306(21):1259–62.

    PubMed  CAS  Google Scholar 

  60. Levin IP, Gaeth GJ. How consumers are affected by the framing of attribute information before and after conuming the product. J Consume Res. 1988;15:374–8.

    Article  Google Scholar 

  61. Armstrong K, Schwartz JS, Fitzgerald G, Putt M, Ubel PA. Effect of framing as gain versus loss on understanding and hypothetical treatment choices: survival and mortality curves. Med Decis Making. 2002;22(1):76–83.

    Article  PubMed  Google Scholar 

  62. Edwards A, Elwyn G, Mulley A. Explaining risks: turning numerical data into meaningful pictures. BMJ (Clinical Research Ed). 2002;324(7341):1827–30.

    Article  Google Scholar 

  63. Slovic P, Monahan J, MacGregor DG. Violence risk assessment and risk communication: the effects of using actual cases, providing instruction, and employing probability versus frequency formats. Law Human Behav. 2000;24(3):271–96.

    Article  CAS  Google Scholar 

  64. Maat HP. What authors and readers do with side effect information on drugs. In: Lentz L, Maat HP, eds. Discourse Analysis and Evaluation: Functional Approaches. Amsterdam/Atlanta: Ultrecht Studies in Language and Communication; 1997:111–38.

    Google Scholar 

  65. Knapp P, Raynor DK, Berry DC. Comparison of two methods of presenting risk information to patients about the side effects of medicines. Q Safe Health Care. 2004;13(3):176–80.

    Article  CAS  Google Scholar 

  66. Trevena LJ, Davey HM, Barratt A, Butow P, Caldwell P. A systematic review on communicating with patients about evidence. J Eval Clin Pract. 2006;12(1)13–23.

    Article  PubMed  Google Scholar 

  67. Gurmankin AD, Baron J, Armstrong K. The effect of numerical statements of risk on trust and comfort with hypothetical physician risk communication. Med Decis Making. 2004;24(3):265–71.

    Article  PubMed  Google Scholar 

  68. Schapira MM, Davids SL, McAuliffe TL, Nattinger AB. Agreement between scales in the measurement of breast cancer risk perceptions. Risk Anal. 2004;24(3)665–73.

    Article  PubMed  Google Scholar 

  69. Ancker JS, Senathirajah Y, Kukafka R, Starren JB. Design features of graphs in health risk communication: a systematic review. J Am Med Inform Assoc. 2006;13(6):608–18.

    Article  PubMed  Google Scholar 

  70. Lipkus IM, Hollands JG. The visual communication of risk. J Natl Cancer Inst. 1999(25):149–63.

  71. Pylar J, Wills CE, Lillie J, Rovner DR, Kelly-Blake K, Holmes-Rovner M. Men’s interpretations of graphical information in a videotape decision aid. Health Expect. 2007;10(2):184–93.

    Article  PubMed  Google Scholar 

  72. Price M, Cameron R, Butow P. Communicating risk information: the influence of graphical display format on quantitative information perception-accuracy, comprehension and preferences. Patient Educ Couns. 2007;69:121–8.

    Article  PubMed  Google Scholar 

  73. Muscatello DJ, Searles A, MacDonald R, Jorm L. Communicating population health statistics through graphs: a randomised controlled trial of graph design interventions. BMC Med. 2006;4:33.

    Article  PubMed  Google Scholar 

  74. Legge GE, Gu YC, Luebker A. Efficiency of graphical perception. Percept Psychophys. 1989;46(4):365–74.

    PubMed  CAS  Google Scholar 

  75. Cleveland WS, McGill R. Graphical perception and graphical methods for analyzing scientific data. Science. 1985;229:828–33.

    Article  PubMed  Google Scholar 

  76. Houts PS, Bachrach R, Witmer JT, Tringali CA, Bucher JA, Localio RA. Using pictographs to enhance recall of spoken medical instructions. Patient Educ Couns. 1998;35(2):83–8.

    Article  PubMed  CAS  Google Scholar 

  77. Houts PS, Doak CC, Doak LG, Loscalzo MJ. The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence. Patient Educ Couns. 2006;61(2):173–90.

    Article  PubMed  Google Scholar 

  78. Houts PS, Witmer JT, Egeth HE, Loscalzo MJ, Zabora JR. Using pictographs to enhance recall of spoken medical instructions II. Patient Educ Couns. 2001;43(3):231–42.

    Article  PubMed  CAS  Google Scholar 

  79. Fagerlin A, Wang C, Ubel PA. Reducing the influence of anecdotal reasoning on people’s health care decisions: is a picture worth a thousand statistics? Med Decis Making. 2005;25(4):398–405.

    Article  PubMed  Google Scholar 

  80. Dewalt DA, Malone RM, Bryant ME, et al. A heart failure self-management program for patients of all literacy levels: A randomized, controlled trial [ISRCTN11535170]. BMC Health Serv Res. 2006;6(1):30.

    Article  PubMed  Google Scholar 

  81. Jibaja-Weiss ML, Volk RJ. Utilizing computerized entertainment education in the development of decision AIDS for lower literate and naive computer users. J Health Commun. 2007;12(7):681–97.

    Article  PubMed  Google Scholar 

  82. Paasche-Orlow MK, Wolf MS. Evidence does not support clinical screening of literacy. J Gen Intern Med. 2008;23(1):100–2.

    Article  PubMed  Google Scholar 

  83. Paasche-Orlow MK, Schillinger D, Greene SM, Wagner EH. How health care systems can begin to address the challenge of limited literacy. J Gen Intern Med. 2006;21(8):884–7.

    Article  PubMed  Google Scholar 

  84. Paasche-Orlow MK, Riekert KA, Bilderback A, et al. Tailored education may reduce health literacy disparities in asthma self-management. Am J Respir Crit Care Med. 2005;172(8):980–6.

    Article  PubMed  Google Scholar 

  85. Grade Report Card. National Center for Education Statistics, US Department of Education, 2007. http://nces.ed.gov/nationsreportcard/pdf/main2007/2007494_3.pdf (Accessed 8/11/2008).

  86. Perle M, Moran R. NAEP 2004 Trends in Academic Progress: Three Decades of Student Performance in Reading and Mathematics (NCES 2005–464). In. Washington, DC: US Department of Education, Institute of Education Sciences, National Center for Education Statistics; 2005.

  87. Schmidt WH, McKnight CC, Raizen SA. A splintered vision: an investigation of US science and mathematics education. Dordrecth, The Netherlands: Kluwer Academic Publishers; 1997.

    Google Scholar 

  88. Kilpatrick J, Swafford J, Findell B. Adding it Up: Helping Children Learn Mathematics. Washington, D.C.: Mathematics Learning Study Committee, Center for Education, Division of Behavioral and Social Sciences and Education, National Research Council, National Academy Press; 2001.

    Google Scholar 

  89. Schapira MM, Nattinger AB, McAuliffe TL. The influence of graphic format on breast cancer risk communication. J Health Commun. 2006;11(6):569–82.

    Article  PubMed  Google Scholar 

  90. Cummings SR, Black DM, Thompson DE, et al. Effect of alendronate on risk of fracture in women with low bone density but without vertebral fractures: results from the Fracture Intervention Trial. JAMA. 1998;280(24):2077–82.

    Article  PubMed  CAS  Google Scholar 

  91. DeWalt DA, Malone RM, Bryant ME, et al. A heart failure self-management program for patients of all literacy levels: a randomized, controlled trial [ISRCTN11535170]. BMC Health Serv Res. 2006;6:30.

    Article  PubMed  Google Scholar 

  92. Gurmankin AD, Baron J, Hershey JC, Ubel PA. The role of physicians’ recommendations in medical treatment decisions. Med Decis Making. 2002;22(3):262–71.

    Article  PubMed  Google Scholar 

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Acknowledgments

We gratefully acknowledge the suggestions and review of the Health Literacy/Health Communication Working Group of the Harvard School of Public Health.

Acknowledgement of Support: Dr. Apter: NIH K02HL088469, R01HL073932. Dr. Bennett: NIH K23HD048915. Dr. Hyde: NIH R03 HD0540432.

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Correspondence to Andrea J. Apter MD, MA, MSc.

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Apter, A.J., Paasche-Orlow, M.K., Remillard, J.T. et al. Numeracy and Communication with Patients: They Are Counting on Us. J GEN INTERN MED 23, 2117–2124 (2008). https://doi.org/10.1007/s11606-008-0803-x

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