A demonstration of ''less can be more'' in risk graphics.
BACKGROUND
Online tools such as Adjuvant! provide tailored estimates of the possible outcomes of adjuvant therapy options available to breast cancer patients. The graphical format typically displays 4 outcomes simultaneously: survival, mortality due to cancer, other-cause mortality, and incremental survival due to adjuvant treatment.


OBJECTIVE
To test whether simpler formats that present only baseline and incremental survival would improve comprehension of the relevant risk statistics and/or affect treatment intentions.


METHODS
. Randomized experimental manipulation of risk graphics shown included in Internet-administered survey vignettes about adjuvant therapy decisions for breast cancer patients with ER + tumors.


METHODS
Demographically diverse, stratified random samples of women ages 40 to 74 y recruited from an Internet research panel.


METHODS
Participants were randomized to view either pictographs (icon arrays) that displayed all 4 possible outcomes or pictographs that showed only survival outcomes.


METHODS
Comprehension of key statistics, task completion times, graph evaluation ratings, and perceived interest in adjuvant chemotherapy.


RESULTS
In the primary study (N = 832), participants who viewed survival-only pictographs had better accuracy when reporting the total chance of survival with both chemotherapy and hormonal therapy (63% v. 50%, P < 0.001), higher graph evaluation ratings (x = 7.98 v. 7.67, P = 0.04), and less interest in adding chemotherapy to hormonal therapy (43% v. 50%, P = 0.04; adjusted odds ratio [OR] = 0.68, P = 0.008). A replication study (N = 714) confirmed that participants who viewed survival-only graphs had higher graph evaluation ratings (x = 8.06 v. 7.72, P = 0.04) and reduced interest in chemotherapy (OR=0.67,P=0.03).


CONCLUSIONS
Studies used general public samples; actual patients may process risk information differently.


CONCLUSIONS
Taking a ''less is more'' approach by omitting redundant mortality outcome statistics can be an effective method of risk communication and may be preferable when using visual formats such as pictographs.
Zikmund-Fisher
Brian J
BJ
VA Health Services Research & Development Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA. bzikmund@umich.edu
Fagerlin
Angela
A
Ubel
Peter A
PA
D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000188:drug therapy* / Q000401:mortality / Q000523:psychology; D003196:Computer Graphics; D003626:Data Display; D003627:Data Interpretation, Statistical; D003661:Decision Support Techniques; D005260:Female; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D008875:Middle Aged; D015233:Models, Statistical; D015999:Multivariate Analysis; D016017:Odds Ratio; D010353:Patient Education as Topic / Q000379:methods* / Q000706:statistics & numerical data; D018570:Risk Assessment / Q000379:methods* / Q000706:statistics & numerical data; D014481:United States