Related Experiment Video
Updated: Feb 8, 2026

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Patients and investigators prefer measures of absolute risk in subgroups for pragmatic randomized trials
Eleanor J Murray1, Ellen C Caniglia1, Sonja A Swanson2
1Harvard T. H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA.
Objectives:
Pragmatic randomized trials are important tools for shared decision-making, but no guidance exists on patients' preferences for types of causal information. We aimed to assess preferences of patients and investigators toward causal effects in pragmatic randomized trials.
Study Design And Setting:
We (a) held three focus groups with patients (n = 23) in Boston, MA; (b) surveyed (n = 12) and interviewed (n = 5) investigators with experience conducting pragmatic trials; and (c) conducted a systematic literature review of pragmatic trials (n = 63).
Results:
Patients were distrustful of new-to-market medications unless substantially more effective than existing choices, preferred stratified absolute risks, and valued adherence-adjusted analyses when they expected to adhere. Investigators wanted both intention-to-treat and per-protocol effects but felt methods for estimating per-protocol effects were lacking. When estimating per-protocol effects, many pragmatic trials used inappropriate methods to adjust for adherence and loss to follow-up.
Conclusion:
We made four recommendations for pragmatic trials to improve patient centeredness: (1) focus on superiority in effectiveness or safety, rather than noninferiority; (2) involve patients in specifying a priori subgroups; (3) report absolute measures of risk; and (4) complement intention-to-treat effect estimates with valid per-protocol effect estimates.
More Related Videos
Related Concept Videos
Absolute Value Inequalities
Mean Absolute Deviation
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
Clinical Trials: Overview
Trial and Error and Algorithm
Clinical Trials
There are four phases in a clinical trial. A phase one...
Relative Risk

