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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: J Clin Epidemiol. 2018 Jun 30;103:10–21. doi: 10.1016/j.jclinepi.2018.06.009

Table 5.

Analytic designs of included pragmatic trials

Characteristic Number of trials
(n = 63)
Measures of occurrence for primary outcome
 Absolute risk, rate, or mean reported numerically for all trial arms 61 (97%)
 Absolute risk, rate, or mean reported graphically only 2 (3%)
Measures of association for primary outcome
 Absolute difference measure only 25 (40%)
 Relative comparison measure only 17 (27%)
 Both absolute and relative measures 18 (29%)
 Neither absolute nor relative measures: p-values only 4 (6%)
Primary effect of interest
 Intention to treat only 41 (65%)
 + Per protocol 22 (35%)
Statistical approach to estimating per protocol effect (n=22)
 Per-protocol population only 20 (91%)
 + Statistical adjustment for non-adherence 1 (4%)
 + Other 1 (4%)
Sensitivity analyses for estimating per protocol effect (n=22)
 No, single approach used 17 (77%)
 Yes, multiple approaches used (including multiple methods of defining per-protocol population) 5 (23%)
Statistical approach to loss to follow-up, for trials not using time to event outcomes (n = 55)
 Complete case only 31 (86%)
 Multiple imputation 7 (13%)
 Worst case imputation 3 (5%)
 Complete case with sensitivity analysis: multiple imputation 4 (7%)
 Complete case with sensitivity analysis: worst-case and/or best-case imputation 2 (4%)
 Last observation carried forward or linear interpolation 3 (5%)
 Imputation, method not specified 1 (2%)
 Best case imputation 1 (2%)
 Unclear or not reported 3 (5%)

Per-protocol population analysis is conducted by restricting to those individuals who adhered to their trial assignment with no additional statistical adjustment for selection into this subsample.