Published in:
01-08-2017 | Original Article – Clinical Oncology
Cancer patients’ preferences for therapy decisions can be grouped into categories and separated by demographic factors
Published in: Journal of Cancer Research and Clinical Oncology | Issue 8/2017
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Purpose
Shared decision-making is based on comparable understanding of decision criteria on both sides that requires knowledge about preferences, reception/prioritization of benefits and covariates influencing these criteria. We addressed identification of cancer patients’ preferences for treatment decisions and covariates for preference patterns in certain patient cohorts.
Design
Using preference surveys ordinal ranking of decisional preferences in life (PL) and during therapy (PT) were obtained and aggregated by factorial analysis. Demographic and clinical data enabled clustering of patient groups including non-malignant control group with distinct preference patterns. Covariates for these patterns were determined by multivariate ANOVA.
Results
1777 cancer and 367 non-oncological patients (≥18 years) were evaluable (response 56.0%). Patient-reported PT was grouped into distinctive categories: immediate treatment effectivity, long-term effects and survival, empathy, easy treatment and employability/healing. Gender, parenthood, family status, age and educational level mainly determine importance of PL (52.1% variance) and PT (55.1% variance) enabling discrimination of specific preference patterns in patients: older males, non-single, younger males, non-single female with children and young, single patients without children that mainly significantly differed from non-cancer patients (p < 0.001).
Conclusion
Relevance of decisional PL/PT appears to be cancer-specific and distinct between cancer patient groups. If patients recognize direct social responsibility, immediate treatment effects gain importance accompanied by reduced impact of employability, rehabilitation and financial security. For young and independent patients empathy has similar impact as treatment effects. Consequently, clinical research should consider age-specific endpoints and distinct decisional preferences to match patients’ perspective by specific evidence.