Sentence examples for value intervention from inspiring English sources

Exact(2)

3. What features they value in an adaptive interface (multiple answers accepted)b (5/8) 62.5% value intervention feature.

In high- and middle-income countries, CRS is such a costly disease that rubella vaccination is a high value intervention.

Similar(58)

In this case, with the group of people that completed the questionnaire, a particular functionality that was valued is reminders; however they also value interventions and feedback functionality.

They also value interventions that are carried out on the ground and support resources mobilization in favour of the children and women of Burkina Faso.

There should be no problem obtaining donor funds for any of these better value interventions if felt necessary for a successful HIV prevention strategy.

Our results suggest that medical as opposed to surgical patients may value interventions such as UCCDIP more; perhaps because this group have an increased tendency for psychological problems such as PTSD.

Various policies are available to discourage overuse, such as ceasing to pay for low value interventions, and we need to assess the short and long term effectiveness and acceptability of both established and novel approaches.

Also, not all criteria are equally important: depending on the pro-poor stance of a country, policy makers may value interventions that target the poor more highly than those that stimulate economic growth.

Across trial groups (who, patients with direct experience of the state being valued intervention – vs. patients with no experience of it - control): The intervention group preferred the Medman service to usual care (£3.52) whereas the control group did not value the change, with a negative value (−£-56.47).

Although 24 one-to-one AT lessons led to better results, the economic analysis found that the best-value intervention was 6 lessons in AT with exercise prescription [ 24].

To determine the effectiveness of whole body vibration on an outcome measure, we computed between-subject effect size as follows: effect size = ± ([mean post-value intervention group − mean post-value control group]/pooled variance).

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