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Separating and estimating the individual contributions of the aleatory variability and epistemic parameter uncertainties to the uncertainty in the model output can assist in resource allocation for data collection, as natural variability is irreducible whereas parameter uncertainty is reducible.
We applied blinding to treatment allocation for data collection, data entry, and analysis, and applied intention to treat analyses with multiple imputations in data analyses.
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Further economic evaluation of alternative data collection protocols would help guide the planning and allocation of resources for data collection in future studies.
For detailed information on the sample size, randomization, allocation concealment, method for data collection and detailed descriptions on the interventions provided we refer to our study protocol and the CONSORT Checklist of items of cluster randomized trials[ 23], as presented in Table 1.
This tool assesses components such as bias in selection, allocation, blinding, confounding, methods used for data collection, withdrawals from the study, analysis and intervention integrity.
Previous optimization studies have addressed hierarchical models with two [ 45- 47] or three [ 43, 44, 47] stages, as well as the optimal allocation of measurements between two alternative yet correlated instruments for data collection [ 42, 48, 49].
Investigators responsible for data collection will be blinded to treatment allocation for the duration of trial.
The occupational therapist responsible for data collection (i.e., administration and filming of HAI and AHA) will not be blinded to group allocation.
A national infrastructure for data collection has never been built.
EMS was responsible for data collection.
39 questions were used for data collection.
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