Clinicians' Interpretation and Preferences for Survival Data Visualisation: A Pre-Post Study Comparing Kaplan-Meier and Mean Residual Life Plots
Victor Pacifique Rwandarwacu

TL;DR
This study compares clinician interpretation and preferences for Kaplan-Meier and Mean Residual Life survival plots, showing minimal instruction enables effective understanding of MRL plots, which could enhance patient communication and clinical decision-making.
Contribution
It provides evidence that clinicians can learn to interpret MRL plots effectively, suggesting their integration into clinical practice and education is feasible and beneficial.
Findings
Interpretation accuracy improved from 50% to 81.2% after brief instruction.
KM plots remain most preferred for clinical ease.
Participants with lower survival knowledge gained the most from learning.
Abstract
Effective visualization of survival data is essential for clinician interpretation and patient communication. While Kaplan-Meier (KM) plots are widely used, Mean Residual Life (MRL) plots may offer a more intuitive display of prognosis over time. However, little is known about clinicians' knowledge and preferences regarding these alternatives. This pre-post pilot cross-sectional survey assessed 32 medical students and doctors who interpreted four survival plot types (KM, survival difference, MRL, and MRL difference) before and after a brief learning section. Interpretation accuracy, learning gain, and ranking preferences were analyzed. Overall accuracy improved from 50.0 percent pre-learning to 81.2 percent post-learning (p = 0.002), with the largest improvement for MRL plots (+37.5 percentage points). KM plots remained the most preferred for ease of clinical use (59 percent), while MRL…
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Taxonomy
TopicsPatient-Provider Communication in Healthcare · Palliative Care and End-of-Life Issues · Global Cancer Incidence and Screening
