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A planned meta- analysis was not performed due to heterogeneity of studies, interventions, and outcomes.
The synthesis of findings was structured using the following domains: characteristics of studies, interventions, and outcome measures; and impact of interventions.
Other than for Australia, no direct conclusions could be drawn about cost-effectiveness of interventions targeting behavioural risk factors due to the small number of studies, interventions that varied widely in design, and varied methods for measurement of costs associated with interventions.
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These were age of studies, intervention type, intervention focus and country where study was undertaken.
We found no significant difference in adequate reporting of study interventions when comparing trials of drug interventions versus all other intervention types.
Ensuring the replicability of study interventions is an essential part of adding value in research.
The central insight of component analysis is that clinical research often contains a mixture of study interventions.
This allows for quantifying and comparing of the effect of study interventions on pain during the full follow-up period.
This requires careful separation of the risks of study interventions and those inherent to the condition being managed [ 5, 7].
Because clinical trials commonly involve a mixture of study interventions, therapeutic and nontherapeutic procedures must be analyzed separately.
For each outcome, a repeated-measures ANOVA taking into account the sequence of study interventions was fitted.
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CEO of Professional Science Editing for Scientists @ prosciediting.com