Sentence examples for impact evaluation data from inspiring English sources

The impact evaluation data are raised over the project duration of 3 years, allowing estimating the intervention's impact on vector densities and human health.

Baseline data were gathered in 2013 while the larviciding intervention runs in 2014 and 2015 accompanied by the continuous collection of impact evaluation data.

The process evaluation will draw from impact evaluation data and from three rounds of data collection at the national, regional, district, facility and community levels.

The study concludes: "The key finding from the impact evaluation using administrative data was that across a wide range of outcomes, covering the key objectives of the programme – employment, benefit receipt, school attendance, safeguarding and child welfare – we were unable to find consistent evidence that the troubled families programme had any significant or systematic impact".

First, because findings from SPC projects are rarely published: Thor and colleagues searched comprehensively for reports on the use of SPC in healthcare quality improvement and identified only 57 articles published between 1990 and 2004. 1 Second we will argue because the potential for rigorous impact evaluation based on SPC data is not fully exploited.

Thus, if the intervention has little or no impact on outcomes, the process evaluation data should uncover whether this was due to inadequate design (a failure of concept/theory), poor delivery (implementation failure) and/or or other factors.

Furthermore, the Global Fund Board has commissioned an independent Five-Year Evaluation including impact evaluations reinforcing quality data collection and analysis in 20 countries[ 20, 44].

Data from the impact evaluation were compared from baseline to follow-up using McNemar's test (dichotomous variables) and Wilcoxon signed rank test (scales/continuous variables).

There is some evidence from evaluation data assessing the impact of UK multimedia cancer awareness campaigns that supports this assumption.

We had two constraints in carrying out the impact evaluation: (i) the availability of routine data only and (ii) the fact that the nationwide introduction of the scheme deprived us from any robust counterfactual.

In the absence of control data, we adopted an interrupted time series design, one of the most robust quantitative methods for impact evaluation [ 37], to analyse routine longitudinal data extracted from the national health information system with the aim of assessing the impact of GMIS on facility deliveries and associated outcome variables.