ASSUMPTIONS PATIENTS MAKE WHEN INTERPRETING GRAPHICAL DISPLAYS OF SURGICAL DATA

Citation
Dj. Mazur et Dh. Hickam, ASSUMPTIONS PATIENTS MAKE WHEN INTERPRETING GRAPHICAL DISPLAYS OF SURGICAL DATA, Theoretical surgery, 9(3), 1994, pp. 129-133
Citations number
NO
Categorie Soggetti
Surgery
Journal title
ISSN journal
01798669
Volume
9
Issue
3
Year of publication
1994
Pages
129 - 133
Database
ISI
SICI code
0179-8669(1994)9:3<129:APMWIG>2.0.ZU;2-7
Abstract
Previous research on patient preferences in surgical decision making h as suggested that most patients are willing to exchange a probability of immediate mortality of 10% for a 15% better 5-year survival rate. T o study whether patients base their choices on extrapolations about fu ture trends beyond year 5, we studied 101 consecutive patients seen in a university-based Department of Veterans Affairs Medical Center. Mea n age was 66.7 years (SD = 8.87, range = 40-84); mean length of educat ion was 12.8 years (SD = 11.40, range = 4-22 years). All patients were provided with a graph comparing two 5-year survival curves: one curve (worse shortterm, better long-term survival) had a 10% immediate risk of death and 37% 5-year survival; the other (better short-term, worse long-term survival) had 0% chance of immediate death and a 22% 5-year survival. Patients were then presented with two additional comparison s (a 6-year and a 10-year survival comparison); each included the same baseline 5-year survival data. In the 6-year comparison, both treatme nt curves had a O% chance of survival beyond year 6. In the 10-year co mparison, the first curve had a 10% 10-year survival, and the second c urve had a 5% 10-year survival. Patients were asked to give their trea tment preference on each comparison and to report any assumptions they made when interpreting the original 5-year survival curve. Fewer than 15% of patients showed preference patterns consistent with a signific ant influence of data beyond 5 years. For most patients, 5-year result s appear to be sufficient for choosing among alternative treatments. F or a minority of patients, explicit information about data extrapolati on leads to preference change. Ignoring this aspect of data interpreta tion could lead to miscommunication about patient preferences.