Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals

Aim To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs). Methods Thirty-three oncologists estimated the “median survival of a group of si...

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Veröffentlicht in:Supportive care in cancer 2022-09, Vol.30 (9), p.7763-7772
Hauptverfasser: Nahm, Sharon H., Stockler, Martin R., Martin, Andrew J., Grimison, Peter, Fox, Peter, Zielinski, Rob, Hawson, Geoffrey AT, Tattersall, Martin HN, Kiely, Belinda E.
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Sprache:eng
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Zusammenfassung:Aim To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs). Methods Thirty-three oncologists estimated the “median survival of a group of similar patients” for patients seeking quantitative prognostic information. The web-based tool generated worst-case, most likely, and best-case scenarios for survival based on the oncologist’s estimate. Oncologists presented the scenarios to each patient and provided a printed summary to patients, FMs, and HCPs. Attitudes to the information were assessed by questionnaires. Observed survival for each patient was compared with the oncologist’s estimated survival and the three scenarios. Results Prognosis was discussed with 222 patients: median age 67 years; 61% male; most common primary sites pancreas 15%, non-small-cell lung 15%, and colorectal 12%. The median (range) for observed survival times was 9 months (0.5–43) and for oncologist’s estimated survival times was 12 months (2–96). Ninety-one percent of patients, 91% of FMs, and 84% of HCPs agreed that it was helpful having life expectancy explained as three scenarios. The majority (77%) of patients judged the information presented about their life expectancy to be the same or better than they had expected before the consultation. The survival estimates met a priori criteria for calibration, precision, and accuracy. Conclusions Patients, FMs, and HCPs found it helpful to receive personalized prognostic information formatted as three scenarios for survival. It was feasible, acceptable, and safe to use a web-based resource to do this.
ISSN:0941-4355
1433-7339
DOI:10.1007/s00520-022-07167-3