Sentence examples for broad target population from inspiring English sources

However, there is no evidence with Randomised Controlled Trials (RCT) for SSTP among this broad target population of children with mild ID and their parents.

Given the broad target population, including people with varied literacy levels, and the chosen self-complete delivery mode, the research team considered it paramount that the CIQ was no longer than 4 x A4 pages, printed on a double-sided, folded A3 page so that only one piece of paper was given to an individual.

The overlap was highest among the systematic reviews with broad target populations and health problems addressed [ 18, 19, 23, 25].

For example, samples drawn principally from voluntary testing and counseling centers may not be representative of the broader target population.

At the design stage, questions can be raised about the sampling frame and sampling scheme (did the people we talked to accurately represent the broader target population?), the questionnaire (were questions well posed or potentially leading?), and the survey preparation (was a pilot study conducted, and how well were interview teams prepared?).

Some units, as exemplified by the two large HIV clinics studied, screen a broader target population for LTBI than the NICE criteria because of the increased risk of active TB.

Our ability to use a comprehensive statewide database to identify hospital admissions in the broader target population permitted a robust analysis that found the overall proportion of confirmed pandemic and seasonal illnesses hospitalized was not significantly different when aggregated data were used in univariate analyses (p>0.05).

Therefore, interventions developed in familial high-risk context are likely to generalize to broader target populations.

Therefore, items deemed most predictive of service utilization based on long stay clients who received the RAI-HC assessment may not serve as an ideal benchmark for the broader CA target population of home care referrals.

Our goals were to evaluate an oncology EMR database in comparison to a large cancer registry and two claims databases to characterize differences between the databases, and to subsequently use these comparisons to help in estimating characteristics in a broader target cancer population in the US.

As the intervention was aimed at those who had experienced or were experiencing trauma, our target population was broad given the conflict touched all members of the geographic community.