Under such scenarios, there is no need to consider adaptive or sequentially updated interventions because as soon as the intervention policy is triggered, the threat of epidemic is eradicated.
Although it would be relatively easy to update intervention materials and modes of delivery, it is also important to identify other factors that could be addressed to enhance the effectiveness of the intervention.
Significant changes arising from the clinical mentoring intervention include updated treatment guidelines on basic emergency obstetric health care, pre-eclampsia and eclampsia, post-partum hemorrhage as well as the management of the third stage of labour.
In order to examine the need to update the intervention with the main risk factors referred to above, we conducted a survey to find the factors most commonly associated with fear of falling.
The study is a pragmatic cluster-randomised controlled trial comparing two intervention groups, i.e. (1) the updated original multicomponent intervention programme and (2) the concise version of the updated programme, with a control group receiving optimised usual care.
A total of 120 nursing homes will be randomised equally either to one of the two intervention groups, i.e. (1) to the updated original multicomponent intervention programme or (2) to the concise version of the updated programme, or to the control group receiving optimised usual care (see Fig. 1).
We also wanted to update conventional intervention-control meta-analyses of the three interventions in light of any recent studies.
The main objective of the present study is to implement two versions of the guideline-based multicomponent intervention (updated original programme and concise version of the updated programme) and to investigate whether the interventions result in a reduction of PR use in nursing home residents when compared to optimised usual care.
Understanding the nature of the contribution problem can help identify the right solution--academic intervention, updated team norms, or a pep talk.
Using our framework, large phylogenetic trees can be perpetually updated without human intervention.
