Health numeracy in Japan: Measures of basic numeracy account for framing bias in a highly numerate population

BMC Medical Informatics and Decision Making

Volumn 12, Issue 1, 2012, Pages

  Okamoto, Masako ^a   Kyutoku, Yasushi ^b   Sawada, Manabu ^a   Clowney, Lester ^b   Watanabe, Eiju ^b   Dan, Ippeita ^b   Kawamoto, Keiko ^a  

^a OBIHIRO UNIVERSITY OF AGRICULTURE AND VETERINARY MEDICINE   (Japan)

^b JICHI MEDICAL UNIVERSITY   (Japan)

Author keywords

Decision making; Patient education; Patient empowerment; Risk communications; Risk perception

Indexed keywords

ADULT; AGED; ARTICLE; DECISION MAKING; FEMALE; HEALTH LITERACY; HEALTH STATUS; HEALTH SURVEY; HOSPITAL; HUMAN; JAPAN; LANGUAGE; MALE; METHODOLOGY; MIDDLE AGED; PSYCHOLOGICAL ASPECT; PSYCHOMETRY; QUESTIONNAIRE; REPRODUCIBILITY; RISK ASSESSMENT; SOCIAL CLASS; STANDARD; STATISTICAL MODEL; STATISTICS; SURGERY; UTILIZATION REVIEW;

ADULT; AGED; DECISION MAKING; FEMALE; HEALTH LITERACY; HEALTH STATUS; HOSPITALS; HUMANS; JAPAN; LIKELIHOOD FUNCTIONS; MALE; MIDDLE AGED; POPULATION SURVEILLANCE; PSYCHOMETRICS; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; SOCIAL CLASS; SURGICAL PROCEDURES, OPERATIVE; TRANSLATING;

EID: 84865961062     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-12-104     Document Type: Article

References (59)

1. How patients make treatment choices. Hellenthal N, Ellison L, Nat Clin Pract Urol 2008 5 426 433 18682718
2. Japanese Cabinet Office, Surveys for the Measures for the Aging Society http://www8.cao.go.jp/kourei/ishiki/h19/kenko/zentai/index.html
3. International comparison of care for very low birth weight infants: parents' perceptions of counseling and decision-making. Partridge JC, Martinez AM, Nishida H, Boo NY, Tan KW, Yeung CY, Lu JH, Yu VY, Pediatrics 2005 116 263 e271 10.1542/peds.2004-2274 16061579
4. Young adult preferences for physician decision-making style in Japan and the United States. Alden DL, Merz MY, Akashi J, Asia Pac J Public Health 2012 24 173 184 10.1177/1010539510365098 20460277
5. Beyond Comprehension: The role of numeracy in judgments and decisions. Peters E, Curr Dir Psychol Sci 2012 21 31 35 10.1177/0963721411429960
6. Clinical implications of numeracy: theory and practice. Nelson W, Reyna VF, Fagerlin A, Lipkus I, Peters E, Ann Behav Med 2008 35 261 274 10.1007/s12160-008-9037-8 18677452
7. Statistical illiteracy undermines informed shared decision making. Gaissmaier W, Gigerenzer G, Z Evid Fortbild Qual Gesundhwes 2008 102 411 413 10.1016/j.zefq.2008.08.013 19209567
8. How numeracy influences risk comprehension and medical decision making. Reyna VF, Nelson WL, Han PK, Dieckmann NF, Psychol Bull 2009 135 943 973 19883143
9. Understanding the role of numeracy in health: proposed theoretical framework and practical insights. Lipkus IM, Peters E, Health Educ Behav 2009 36 1065 1081 10.1177/1090198109341533 19834054
10. Making numbers matter: present and future research in risk communication. Fagerlin A, Ubel PA, Smith DM, Zikmund-Fisher BJ, Am J Health Behav 2007 31 47 S56 10.5993/AJHB.31.s1.7 17931136
11. Using visual aids to improve communication of risks about health: a review. Garcia-Retamero R, Okan Y, Cokely ET, ScientificWorldJournal in press
12. Numeracy and framing bias in epilepsy. Choi H, Wong JB, Mendiratta A, Heiman GA, Hamberger MJ, Epilepsy Behav 2011 20 29 33 10.1016/j.yebeh.2010.10. 005 21059486
13. Breast cancer patients' treatment expectations after exposure to the decision aid program adjuvant online: the influence of numeracy. Lipkus IM, Peters E, Kimmick G, Liotcheva V, Marcom P, Med Decis Making 2010 30 464 473 10.1177/0272989X09360371 20160070
14. The effect of numeracy on the comprehension of information about medicines in users of a patient information website. Gardner PH, McMillan B, Raynor DK, Woolf E, Knapp P, Patient Educ Couns 2011 83 398 403 10.1016/j.pec.2011.05.006 21621949
15. Literacy and numeracy skills and anticoagulation control. Estrada CA, Martin-Hryniewicz M, Peek BT, Collins C, Byrd JC, Am J Med Sci 2004 328 88 93 10.1097/00000441-200408000-00004 15311167
16. Measuring risk literacy: the Berlin numeracy test. Cokely ET, Galesic M, Schulz E, Ghazal S, Garcia-Retamero R, Judgm Decis Mak 2012 7 25 47
17. Explaining the effect of education on health: a field study in Ghana. Peters E, Baker DP, Dieckmann NF, Leon J, Collins J, Psychol Sci 2010 21 1369 1376 10.1177/0956797610381506 20739672
18. Individual differences in numeracy and cognitive reflection, with implications for biases and fallacies in probability judgment. Liberali JM, Reyna VF, Furlan S, Stein LM, Pardo ST, J Behav Decis Mak 2012 25 361 381 10.1002/bdm.752
19. How to reduce the effect of framing on messages about health. Garcia-Retamero R, Galesic M, J Gen Intern Med 2010 25 1323 1329 10.1007/s11606-010-1484-9 20737295
20. Strategy selection in risky choice: The impact of numeracy, affect, and cross-cultural differences. Pachur T, Galesic M, J Behav Decis Mak in press
21. Communicating treatment risk reduction to people with low numeracy skills: a cross-cultural comparison. Garcia-Retamero R, Galesic M, Am J Public Health 2009 99 2196 2202 10.2105/AJPH.2009.160234 19833983
22. Measuring the ability to interpret medical information among the Japanese public and the relationship with inappropriate purchasing attitudes of health-related goods. Takahashi Y, Sakai M, Fukui T, Shimbo T, Asia Pac J Public Health 2011 23 386 398 10.1177/1010539509344882 19723690
23. The role of numeracy in understanding the benefit of screening mammography. Schwartz LM, Woloshin S, Black WC, Welch HG, Ann Intern Med 1997 127 966 972 9412301
24. General performance on a numeracy scale among highly educated samples. Lipkus IM, Samsa G, Rimer BK, Med Decis Making 2001 21 37 44 11206945
25. Steiner DL, Norman GR, Health measurement scales. A practical guide to their development and use Oxford University Press, New York 3 2003
26. Nunnally JC, Bernstein IH, Psychometric theory McGraw-Hill, New York 3 1994
27. Development and testing of an abbreviated numeracy scale: A rasch analysis approach. Weller JA, Dieckmann NF, Tusler M, Mertz CK, Burns WJ, Peters E, J Behav Decis Mak in press
28. Numeracy and decision making. Peters E, Vastfjall D, Slovic P, Mertz CK, Mazzocco K, Dickert S, Psychol Sci 2006 17 407 413 10.1111/j.1467-9280.2006. 01720.x 16683928
29. Less is more in presenting quality information to consumers. Peters E, Dieckmann N, Dixon A, Hibbard JH, Mertz CK, Med Care Res Rev 2007 64 169 190 10.1177/10775587070640020301 17406019
30. Intuitive numbers guide decisions. Peters E, Slovic P, Västfjäll D, Mertz CK, Judgm Decis Mak 2008 3 619 635
31. Evaluating existing measures of health numeracy using item response theory. Schapira MM, Walker CM, Sedivy SK, Patient Educ Couns 2009 75 308 314 10.1016/j.pec.2009.03.035 19443170
32. Choice, numeracy, and physicians-in-training performance: the case of Medicare Part D. Hanoch Y, Miron-Shatz T, Cole H, Himmelstein M, Federman AD, Health Psychol 2010 29 454 459 20658834
33. Statistical numeracy for health: a cross-cultural comparison with probabilistic national samples. Galesic M, Garcia-Retamero R, Arch Intern Med 2010 170 462 468 10.1001/archinternmed.2009.481 20212183
34. OECD, PISA 2000 Technical Report http://www.oecd.org/pisa/pisaproducts/
35. OECD, PISA 2003 Technical Report http://www.oecd.org/pisa/pisaproducts/
36. OECD, PISA 2006 Technical Report http://www.oecd.org/pisa/pisaproducts/
37. OECD, PISA 2009 Technical Report http://www.oecd.org/pisa/pisaproducts/
38. Individual differences in graph literacy: Overcoming denominator neglect in risk comprehension. Okan Y, Rocio G, Cokely ET, Maldonado A, J Behav Decis Mak 2011 25 390 401
39. The relative persuasiveness of gain-framed and loss-framed messages for encouraging disease prevention behaviors: a meta-analytic review. O'Keefe DJ, Jensen JD, J Health Commun 2007 12 623 644 10.1080/10810730701615198 17934940
40. Design features of graphs in health risk communication: a systematic review. Ancker JS, Senathirajah Y, Kukafka R, Starren JB, J Am Med Inform Assoc 2006 13 608 618 10.1197/jamia.M2115 16929039
41. Numeric, verbal, and visual formats of conveying health risks: suggested best practices and future recommendations. Lipkus IM, Med Decis Making 2007 27 696 713 10.1177/0272989X07307271 17873259
42. Transparency in risk communication: graphical and analog tools. Kurz-Milcke E, Gigerenzer G, Martignon L, Ann N Y Acad Sci 2008 1128 18 28 10.1196/annals.1399.004 18469211
43. Nurses as information providers: facilitating understanding and communication of statistical information. Hanoch Y, Pachur T, Nurse Educ Today 2004 24 236 243 10.1016/j.nedt.2004.01.004 15046859
44. Measurement of individual differences: lessons from memory assessment in research and clinical practice. Uttl B, Psychol Sci 2005 16 460 467 15943672
45. Moments of the censored and truncated bivariate normal distribution. Muthén B, Br J Math Stat Psychol 1990 43 131 143 10.1111/j.2044-8317. 1990.tb00930.x
46. Is coefficient alpha robust to non-normal data? Sheng Y, Sheng Z, Front Psychol 2012 3 1 13 22279440
47. Role of test motivation in intelligence testing. Duckworth AL, Quinn PD, Lynam DR, Loeber R, Stouthamer-Loeber M, Proc Natl Acad Sci U S A 2011 108 7716 7720 10.1073/pnas.1018601108 21518867
48. Cognitive abilities and superior decision making under risk: A protocol analysis and process model evaluation. Cokely ET, Kelley CM, Judgm Decis Mak 2009 4 20 33
49. Validity of psychological assessment: Validation of inferences from persons' responses and performances as scientific inquiry into score meaning. Messick S, Am Psychol 1995 50 741 749
50. Heiman GW, Research methods in psychology Houghton Mifflin, Boston & New York 3 2002
51. Can patients interpret health information? An assessment of the medical data interpretation test. Schwartz LM, Woloshin S, Welch HG, Med Decis Making 2005 25 290 300 10.1177/0272989X05276860 15951456
52. Mplus user's guide 6 1998-2010 http://www.statmodel.com/ugexcerpts.shtml 19320621
53. On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Beauducel A, Herzberg PY, Structural Equation Modeling: A Multidisciplinary Journal 2006 13 186 203 10.1207/s15328007sem1302-2
54. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Flora DB, Curran PJ, Psychol Methods 2004 9 466 491 15598100
55. Dichotomous factor analysis of symptom data. Muthén B, Latent Variable Models for Dichotomous Outcomes: Analysis of Data from the Epidemiological Catchment Area Program Sage Periodicals Press, Newbury Park, CA, Eaton WW, Bohrnstedt GW, 1989 19 65 Sociological methods & research
56. Muthén BO, du Toit SHC, Spisic D, Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes http://pages.gseis.ucla.edu/faculty/ muthen/articles/Article-075.pdf
57. Clinical vs. self-report versions of the quick inventory of depressive symptomatology in a public sector sample. Bernstein IH, Rush AJ, Carmody TJ, Woo A, Trivedi MH, J Psychiatr Res 2007 41 239 246 10.1016/j.jpsychires.2006.04.001 16716351
58. Comrey AL, Lee HB, A First Course in Factor Analysis Lawrence Erlbaum Associates, Hillsdale, NJ 2 1992
59. Coefficient alpha and the internal structure of tests. Cronbach LJ, Psychometrika 1951 16 297 334 10.1007/BF02310555