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Interventions of greater intensity, delivered at a different age, or both may yet prove helpful, although we recognise that this may put them out of the reach of implementation in the population.
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Scientific data support the efficacy of lifestyle measures used in Type II diabetes prevention, however, realities of program implementation in the general population pose some difficulties.
Besides this need for impact evaluation, there is a need to evaluate the feasibility and fidelity of intervention implementation in the new population and setting [ 10].
The included studies clearly show that, from a cost-effectiveness point of view, only FIT may currently be ready for widespread implementation in the general population.
Additional investigations will be necessary to evaluate how the quality of life of this group of adolescents might differ from our sample, although study design and implementation in this population will likely be challenging.
19, 20 Although with good discrimination and well calibrated to predict CVD events in populations from the USA, Australia, and New Zealand, it overestimates (over-predicts) the absolute risk in European cohorts and its direct implementation in the latter populations requires recalibration.
Finally, findings from analyses of combined baseline data influenced decisions about the measures employed in a subsequent follow-up phase coordinated by the xTEND project, as well as informing ways to tailor interventions designed for implementation in these populations (e.g., Partners in Depression and SHADE interventions).
At the time of reserve implementation, all individuals in the population are assumed to be randomly distributed in space.
40 41 42 At the population level, however, longer follow-up is probably needed because implementation of screening in the population is likely to take more time, and in our study the observation period was 18 years.
We used a computer-based simulation model to project long-term health benefits and cost-effectiveness, assuming implementation in the Dutch diabetic population.
In this implementation the population is composed of a subpopulation 1 with low risk of infection, where the force of infection is affected by a factor α1 < 1, and a subpopulation 2 with high risk of infection, where the force of infection is increased by a factor α2 > 1.
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