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There are philosophical differences in terms of which frameworks are appropriate for exploring educational interventions and definitions of what evidence should be considered.
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Study design, participants, mode of intervention, and definition of outcomes were faithfully extracted from the articles included in the final analysis.
First, there exists substantial heterogeneity among included RCTs which may be explained by the differences in study population, timing of intervention and definition of the study's end point.
Data on study populations, interventions and outcome definitions are shown in Table 1.
The taxonomy was developed by international expert consensus as a tool to assess the main components of fall prevention interventions, and develop definitions of service components by either utilising existing international classification systems, or developing additional classifications where these were not already available.
Table 1 gives details of the participants' characteristics, the interventions, and the definition of response in these three trials.
To allow for variability among the participants, type of exercise intervention, and outcome definitions we used a random effect model.
A particular strength of a subgroup analysis of a large trial is that the intervention and outcome definitions are identical over the trial.
The strength of this study is that we have looked in some detail at reviews of a complex clinical intervention to identify differences between them and possible explanations, such as differences in intervention and outcome definitions and handling of missing data from included trials in meta-analyses.
The strength of this study is that we have looked in some detail at the available reviews to identify differences between them and possible explanations, such as differences in intervention and outcome definitions and handling of missing data from included trials in meta-analyses.
The meta-analyses of the means and standard deviations from the trials were based upon a random-effects model in order to account for heterogeneity caused by variability among participants, place and date of the experiment, type of exercise intervention, and outcome definitions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com