Quantitative literacy: Difference between revisions

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==Health care==
==Health care==
Health care numeracy is problematic. It is confounded by scientific journals not well presenting quantitative results.<ref name="pmid12038920">{{cite journal |author=Nuovo J, Melnikow J, Chang D |title=Reporting number needed to treat and absolute risk reduction in randomized controlled trials |journal=JAMA |volume=287 |issue=21 |pages=2813–4 |year=2002 |month=June |pmid=12038920 |doi= |url=http://jama.ama-assn.org/cgi/pmidlookup?view=long&pmid=12038920 |issn=}}</ref>
Health care numeracy is problematic. Health care providers<ref name="pmid3701813">{{cite journal| author=Bergman DA, Pantell RH| title=The impact of reading a clinical study on treatment decisions of physicians and residents. | journal=J Med Educ | year= 1986 | volume= 61 | issue= 5 | pages= 380-6 | pmid=3701813 | doi= | pmc= | url= }} </ref><ref name="pmid7315859">{{cite journal| author=Berwick DM, Fineberg HV, Weinstein MC| title=When doctors meet numbers. | journal=Am J Med | year= 1981 | volume= 71 | issue= 6 | pages= 991-8 | pmid=7315859 | doi= | pmc= | url= }} </ref><ref name="pmid15175211">{{cite journal| author=Phelps MA, Levitt MA| title=Pretest probability estimates: a pitfall to the clinical utility of evidence-based medicine? | journal=Acad Emerg Med | year= 2004 | volume= 11 | issue= 6 | pages= 692-4 | pmid=15175211 | doi= | pmc= | url= }} </ref><ref name="pmid9576412">{{cite journal| author=Reid MC, Lane DA, Feinstein AR| title=Academic calculations versus clinical judgments: practicing physicians' use of quantitative measures of test accuracy. | journal=Am J Med | year= 1998 | volume= 104 | issue= 4 | pages= 374-80 | pmid=9576412 | doi= | pmc= | url=http://www.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&tool=sumsearch.org/cite&retmode=ref&cmd=prlinks&id=9576412  }} </ref><ref name="pmid11934776">{{cite journal| author=Steurer J, Fischer JE, Bachmann LM, Koller M, ter Riet G| title=Communicating accuracy of tests to general practitioners: a controlled study. | journal=BMJ | year= 2002 | volume= 324 | issue= 7341 | pages= 824-6 | pmid=11934776 | doi= | pmc=PMC100792 | url= }} </ref> and patients<ref name="pmid15150208">{{cite journal| author=Epstein RM, Alper BS, Quill TE| title=Communicating evidence for participatory decision making. | journal=JAMA | year= 2004 | volume= 291 | issue= 19 | pages= 2359-66 | pmid=15150208 | doi=10.1001/jama.291.19.2359 | pmc= | url=http://www.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&tool=sumsearch.org/cite&retmode=ref&cmd=prlinks&id=15150208  }} </ref><ref name="pmid8554250">{{cite journal| author=Friedmann PD, Brett AS, Mayo-Smith MF| title=Differences in generalists' and cardiologists' perceptions of cardiovascular risk and the outcomes of preventive therapy in cardiovascular disease. | journal=Ann Intern Med | year= 1996 | volume= 124 | issue= 4 | pages= 414-21 | pmid=8554250 | doi= | pmc= | url= }} </ref><ref name="pmid9673608">{{cite journal| author=Hamm RM, Smith SL| title=The accuracy of patients' judgments of disease probability and test sensitivity and specificity. | journal=J Fam Pract | year= 1998 | volume= 47 | issue= 1 | pages= 44-52 | pmid=9673608 | doi= | pmc= | url= }} </ref><ref name="pmid8271086">{{cite journal| author=Malenka DJ, Baron JA, Johansen S, Wahrenberger JW, Ross JM| title=The framing effect of <ref name="pmid1443954">{{cite journal| author=Naylor CD, Chen E, Strauss B| title=Measured enthusiasm: does the method of reporting trial results alter perceptions of therapeutic effectiveness? | journal=Ann Intern Med | year= 1992 | volume= 117 | issue= 11 | pages= 916-21 | pmid=1443954 | doi= | pmc= | url= }} </ref><ref name="pmid8271086">{{cite journal| author=Malenka DJ, Baron JA, Johansen S, Wahrenberger JW, Ross JM| title=The framing effect of relative and absolute risk. | journal=J Gen Intern Med | year= 1993 | volume= 8 | issue= 10 | pages= 543-8 | pmid=8271086 | doi= | pmc= | url= }} </ref><ref name="pmid9412301">{{cite journal| author=Schwartz LM, Woloshin S, Black WC, Welch HG| title=The role of numeracy in understanding the benefit of screening mammography. | journal=Ann Intern Med | year= 1997 | volume= 127 | issue= 11 | pages= 966-72 | pmid=9412301 | doi= | pmc= | url= }} </ref> both have problems with quantitative reasoning. Some of the difficulty is doe to interpreting relative versus absolute measures of efficacy.<ref name="pmid7950558">{{cite journal| author=Bucher HC, Weinbacher M, Gyr K| title=Influence of method of reporting study results on decision of physicians to prescribe drugs to lower cholesterol concentration. | journal=BMJ | year= 1994 | volume= 309 | issue= 6957 | pages= 761-4 | pmid=7950558 | doi= | pmc=PMC2541000 | url= }} </ref><ref name="pmid14687273">{{cite journal| author=Sheridan SL, Pignone MP, Lewis CL| title=A randomized comparison of patients' understanding of number needed to treat and other common risk reduction formats. | journal=J Gen Intern Med | year= 2003 | volume= 18 | issue= 11 | pages= 884-92 | pmid=14687273 | doi= | pmc=PMC1494938 | url=http://www.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&tool=sumsearch.org/cite&retmode=ref&cmd=prlinks&id=14687273  }} </ref> The problem is confounded by scientific journals not well presenting quantitative results.<ref name="pmid12038920">{{cite journal |author=Nuovo J, Melnikow J, Chang D |title=Reporting number needed to treat and absolute risk reduction in randomized controlled trials |journal=JAMA |volume=287 |issue=21 |pages=2813–4 |year=2002 |month=June |pmid=12038920 |doi= |url=http://jama.ama-assn.org/cgi/pmidlookup?view=long&pmid=12038920 |issn=}}</ref>


===Comparing benefits of two treatments===
===Comparing benefits of two treatments===
Line 13: Line 13:
===Comparing accuracy of diagnostic methods===
===Comparing accuracy of diagnostic methods===
Various formats have been tested to improve comprehension of quantitative comparisons of diagnostic accuracy.<ref name="pmid16061916">{{cite journal |author=Puhan MA, Steurer J, Bachmann LM, ter Riet G |title=A randomized trial of ways to describe test accuracy: the effect on physicians' post-test probability estimates |journal=Ann. Intern. Med. |volume=143 |issue=3 |pages=184–9 |url=http://www.annals.org/cgi/content/full/143/3/184|year=2005 |pmid=16061916 |doi= |issn=}}</ref><ref name="pmid7898300">{{cite journal |author=Poses RM ''et al.''|title=You can lead a horse to water--improving physicians' knowledge of probabilities may not affect their decisions |journal=Medical Decision Making |volume=15  |pages=65–75 |year=1995 |pmid=7898300 |doi=}}</ref>
Various formats have been tested to improve comprehension of quantitative comparisons of diagnostic accuracy.<ref name="pmid16061916">{{cite journal |author=Puhan MA, Steurer J, Bachmann LM, ter Riet G |title=A randomized trial of ways to describe test accuracy: the effect on physicians' post-test probability estimates |journal=Ann. Intern. Med. |volume=143 |issue=3 |pages=184–9 |url=http://www.annals.org/cgi/content/full/143/3/184|year=2005 |pmid=16061916 |doi= |issn=}}</ref><ref name="pmid7898300">{{cite journal |author=Poses RM ''et al.''|title=You can lead a horse to water--improving physicians' knowledge of probabilities may not affect their decisions |journal=Medical Decision Making |volume=15  |pages=65–75 |year=1995 |pmid=7898300 |doi=}}</ref>
<ref name="pmid11874195">{{cite journal| author=Sheridan SL, Pignone M| title=Numeracy and the medical student's ability to interpret data. | journal=Eff Clin Pract | year= 2002 | volume= 5 | issue= 1 | pages= 35-40 | pmid=11874195 | doi= | pmc= | url= }} </ref>


==References==
==References==
<references/>
<references/>

Revision as of 15:06, 4 November 2010

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In education and literacy, quantitative literacy (also called numeracy) is "the knowledge and skills required to apply arithmetic operations, either alone or sequentially, using numbers embedded in printed materials; for example, balancing a checkbook, figuring out a tip, completing an order form, or determining the amount of interest from a loan advertisement."[1]

Quantitative literacy is important in politics[2][3] and health care[4][5].

Health care

Health care numeracy is problematic. Health care providers[6][7][8][9][10] and patients[11][12][13]Cite error: Closing </ref> missing for <ref> tag[14][15] both have problems with quantitative reasoning. Some of the difficulty is doe to interpreting relative versus absolute measures of efficacy.[16][17] The problem is confounded by scientific journals not well presenting quantitative results.[18]

Comparing benefits of two treatments

Various formats including the number needed to treat have been tested to improve comprehension of quantitative comparisons of treatment benefit by patients[17][19][20][21][22][15][23] and by health care professionals[24][25][23].

Comparing accuracy of diagnostic methods

Various formats have been tested to improve comprehension of quantitative comparisons of diagnostic accuracy.[26][27] [24]

References

  1. Irwin S. Kirsch, Ann Jungeblut, Lynn Jenkins, and Andrew Kolstad. (1993). Adult Literacy in America: a first look at the findings of the National Adult Literacy Survey, (NCES 93275). U.S. Department of Education.
  2. Best, Joel (2001). Damned lies and statistics: untangling numbers from the media, politicians, and activists. Berkeley: University of California Press. ISBN 0-520-21978-3. 
  3. Best, Joel (2004). More damned lies and statistics: how numbers confuse public issues. Berkeley: University of California Press. ISBN 0-520-23830-3. 
  4. Mark Kutner, Elizabeth Greenberg, Ying Jin, Christine Paulsen. (2006) The Health Literacy of America’s Adults: Results From the 2003 National Assessment of Adult Literacy. U.S. Department of Education.
  5. Schwartz, Lisa A.; Steven Woloshin (2008). Know Your Chances: Understanding Health Statistics. Berkeley: University of California Press. ISBN 0-520-25222-5. 
  6. Bergman DA, Pantell RH (1986). "The impact of reading a clinical study on treatment decisions of physicians and residents.". J Med Educ 61 (5): 380-6. PMID 3701813[e]
  7. Berwick DM, Fineberg HV, Weinstein MC (1981). "When doctors meet numbers.". Am J Med 71 (6): 991-8. PMID 7315859[e]
  8. Phelps MA, Levitt MA (2004). "Pretest probability estimates: a pitfall to the clinical utility of evidence-based medicine?". Acad Emerg Med 11 (6): 692-4. PMID 15175211[e]
  9. Reid MC, Lane DA, Feinstein AR (1998). "Academic calculations versus clinical judgments: practicing physicians' use of quantitative measures of test accuracy.". Am J Med 104 (4): 374-80. PMID 9576412[e]
  10. Steurer J, Fischer JE, Bachmann LM, Koller M, ter Riet G (2002). "Communicating accuracy of tests to general practitioners: a controlled study.". BMJ 324 (7341): 824-6. PMID 11934776. PMC PMC100792[e]
  11. Epstein RM, Alper BS, Quill TE (2004). "Communicating evidence for participatory decision making.". JAMA 291 (19): 2359-66. DOI:10.1001/jama.291.19.2359. PMID 15150208. Research Blogging.
  12. Friedmann PD, Brett AS, Mayo-Smith MF (1996). "Differences in generalists' and cardiologists' perceptions of cardiovascular risk and the outcomes of preventive therapy in cardiovascular disease.". Ann Intern Med 124 (4): 414-21. PMID 8554250[e]
  13. Hamm RM, Smith SL (1998). "The accuracy of patients' judgments of disease probability and test sensitivity and specificity.". J Fam Pract 47 (1): 44-52. PMID 9673608[e]
  14. Malenka DJ, Baron JA, Johansen S, Wahrenberger JW, Ross JM (1993). "The framing effect of relative and absolute risk.". J Gen Intern Med 8 (10): 543-8. PMID 8271086[e]
  15. 15.0 15.1 Schwartz LM, Woloshin S, Black WC, Welch HG (1997). "The role of numeracy in understanding the benefit of screening mammography.". Ann Intern Med 127 (11): 966-72. PMID 9412301[e] Cite error: Invalid <ref> tag; name "pmid9412301" defined multiple times with different content
  16. Bucher HC, Weinbacher M, Gyr K (1994). "Influence of method of reporting study results on decision of physicians to prescribe drugs to lower cholesterol concentration.". BMJ 309 (6957): 761-4. PMID 7950558. PMC PMC2541000[e]
  17. 17.0 17.1 Sheridan SL, Pignone MP, Lewis CL (2003). "A randomized comparison of patients' understanding of number needed to treat and other common risk reduction formats.". J Gen Intern Med 18 (11): 884-92. PMID 14687273. PMC PMC1494938[e] Cite error: Invalid <ref> tag; name "pmid14687273" defined multiple times with different content
  18. Nuovo J, Melnikow J, Chang D (June 2002). "Reporting number needed to treat and absolute risk reduction in randomized controlled trials". JAMA 287 (21): 2813–4. PMID 12038920[e]
  19. Schwartz LM, Woloshin S, Welch HG (2007). "The drug facts box: providing consumers with simple tabular data on drug benefit and harm". Med Decis Making 27 (5): 655–62. DOI:10.1177/0272989X07306786. PMID 17873258. Research Blogging.
  20. Woloshin S, Schwartz LM, Welch HG (February 2007). "The effectiveness of a primer to help people understand risk: two randomized trials in distinct populations". Ann. Intern. Med. 146 (4): 256–65. PMID 17310049[e]
  21. Stovring H, Gyrd-Hansen D, Kristiansen IS, Nexoe J, Nielsen JB (2008). "Communicating effectiveness of intervention for chronic diseases: what single format can replace comprehensive information?". BMC Med Inform Decis Mak 8: 25. DOI:10.1186/1472-6947-8-25. PMID 18565218. PMC 2467410. Research Blogging.
  22. Dolan JG, Iadarola S (2008). "Risk communication formats for low probability events: an exploratory study of patient preferences". BMC Med Inform Decis Mak 8: 14. DOI:10.1186/1472-6947-8-14. PMID 18402680. PMC 2330036. Research Blogging.
  23. 23.0 23.1 Wen L, Badgett R, Cornell J (October 2005). "Number needed to treat: a descriptor for weighing therapeutic options". Am J Health Syst Pharm 62 (19): 2031–6. DOI:10.2146/ajhp040558. PMID 16174840. Research Blogging.
  24. 24.0 24.1 Sheridan SL, Pignone M (2002). "Numeracy and the medical student's ability to interpret data". Eff Clin Pract 5 (1): 35–40. PMID 11874195[e] Cite error: Invalid <ref> tag; name "pmid11874195" defined multiple times with different content
  25. Gigerenzer G, Edwards A (September 2003). "Simple tools for understanding risks: from innumeracy to insight". BMJ 327 (7417): 741–4. DOI:10.1136/bmj.327.7417.741. PMID 14512488. PMC 200816. Research Blogging.
  26. Puhan MA, Steurer J, Bachmann LM, ter Riet G (2005). "A randomized trial of ways to describe test accuracy: the effect on physicians' post-test probability estimates". Ann. Intern. Med. 143 (3): 184–9. PMID 16061916[e]
  27. Poses RM et al. (1995). "You can lead a horse to water--improving physicians' knowledge of probabilities may not affect their decisions". Medical Decision Making 15: 65–75. PMID 7898300[e]