Correction: Trials 24, 198 (2023)

https://doi.org/10.1186/s13063-023-07148-9

After publication of this article the authors spotted minor errors in the “Planned Analyses” section and (Table 1) of the original publication. As described in the original preregistration on clinicaltrials.gov (NCT04154631): the measures referenced in the analyses below were never planned to be assessed at 6-month follow-up, consistent with the Method section and Figures of the original publication.

Table 1 SPIRIT Depiction of Timing and Measures Collected for Implementation Phase
Full size table

The incorrect and correct information is shown in this correction article. The original article has been updated [1].

Incorrect

  • The level 1 equation will include dummy-coded time indicators as the predictor (0 = pre-treatment, 1 = post-treatment, and 2 = 6FU)…Significant interactions will be interpreted using planned contrasts (i.e., treatment effects on change from pre-treatment to post-treatment and pre-treatment to 6FU) and graphs.

  • Linear regression will be used to test treatment condition (Adapted vs. Standard TranS-C) predicting patient perceptions of TranS-C’s credibility at post-treatment and 6FU.

  • The level 1 equation will include the moderator and dummy-coded time indicators as the predictors (0 = pre-treatment, 1 = post-treatment, and 2 = 6FU). A significant interaction indicates a moderating effect and will be probed with planned contrasts (e.g., moderating effects on the differences between treatments in change from pre-treatment to post-treatment or pre-treatment to 6FU) and graphs.

Correct

  • The level 1 equation will include dummy-coded time indicators as the predictor (0 = post-training, 1 = post-treatment)…Significant interactions will be interpreted using planned contrasts (i.e., treatment effects on change from post-training to post-treatment) and graphs.

  • Linear regression will be used to test treatment condition (Adapted vs. Standard TranS-C) predicting patient perceptions of TranS-C’s credibility and perceived improvement at post-treatment.

  • The level 1 equation will include the moderator and dummy-coded time indicators as the predictors (0 = pre-treatment, 1 = post-treatment). A significant interaction indicates a moderating effect and will be probed with planned contrasts (e.g., moderating effects on the differences between treatments in change from pre-treatment to post-treatment) and graphs.