• Tracy M Robinson, Stewart C Alexander, Margie Hays, Amy S Jeffreys, Maren K Olsen, Keri L Rodriguez, Kathryn I Pollak, Amy P Abernethy, Robert Arnold, and James A Tulsky.
• Duke University School of Medicine, Durham, NC, USA. tracy.robinson@vanderbilt.edu
• Support Care Cancer. 2008 Sep 1; 16 (9): 1049-57.

Goals Of WorkAdvanced cancer patients' perceptions of prognosis, which are often overly optimistic compared to oncologist estimates, influence treatment preferences. The predictors of patients' perceptions and the effect of oncologist communication on patient understanding are unclear. This study was designed to identify the communication factors that influence patient-oncologist concordance about chance of cure.Materials And MethodsWe analyzed audiorecorded encounters between 51 oncologists and 141 advanced cancer patients with good (n = 69) or poor (n = 72) concordance about chance of cure. Encounters were coded for communication factors that might influence oncologist-patient concordance, including oncologist statements of optimism and pessimism.Main ResultsOncologists made more statements of optimism (mean = 3.3 per encounter) than statements of pessimism (mean = 1.2 per encounter). When oncologists made at least one statement of pessimism, patients were more likely to agree with their oncologist's estimated chance of cure (OR = 2.59, 95%CI = 1.31-5.12). Statements of optimism and uncertainty were not associated with an increased likelihood that patients would agree or disagree with their oncologists about chance of cure.ConclusionsCommunication of pessimistic information to patients with advanced cancer increases the likelihood that patients will report concordant prognostic estimates. Communication of optimistic information does not have any direct effect. The best communication strategy to maximize patient knowledge for informed decision making while remaining sensitive to patients' emotional needs may be to emphasize optimistic aspects of prognosis while also consciously and clearly communicating pessimistic aspects of prognosis.

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