Personalizing N-of-1 Trial Results to Facilitate Decision-Making

By
Christopher H. Schmid
July 6, 2026
0 min

Jama Network Open

Objective:

To evaluate the effectiveness of tamsulosin for treating lower urinary tract symptoms (LUTS) among men with an active prescription and under treatment at urology clinics.

Approach:

Study Design: A series of N-of-1 trials were conducted with 31 men under treatment at urology clinics.
Statistical Analysis: A linear mixed model was used to obtain individual and average treatment estimates.
Personalized Reporting: Participants received a personalized study report including a color-coded plot of outcomes.

Key Findings:

Approximately 1 in 3 participants received little benefit from tamsulosin despite average statistical significance, indicating variability in individual responses.
N-of-1 trials can provide personalized treatment evaluations, contrasting with average treatment effects from traditional trials.
Shrinkage estimates from mixed models can improve individual treatment effect accuracy.

Interpretation:

The study discusses the use of N-of-1 trials to tailor treatment decisions to individual patients, noting the need for clearer reporting of individual effects.

Limitations:

The study used a non-bayesian approach, which limits the availability of individualized probabilities and may affect the interpretation of individual treatment effects.
Individual study reports only showed data from single individuals, which may confuse participants.