Sentence examples for quality data collection analysis from inspiring English sources

The resulting flexibility was a golden opportunity for experimentation; the project's emphasis on quality data collection, analysis and monitoring, and constant communication with stakeholders allowed the partners to identify and disseminate successful innovations.

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].

Ideally, frameworks for planning, monitoring, and evaluating health RCS efforts should be easily accessible to stakeholders and facilitate high quality data collection and analysis, which may necessitate different documents for different purposes and audiences.

These teams were selected based on a prior record of high quality data collection and analysis, ability to assemble an appropriately skilled and managed team, and network of contacts among HIV prevention agencies.

However, there is currently no national or local impetus to routinely collect data for NHS endoscopy staff, even in light of the MES project, which reported significant improvements to MES site services attributed partly to high quality data collection and analysis that was used to inform redesign plans [ 10].

This undermines the ability of citizens to hold their governments accountable for their stewardship of health systems, a fact relatively recently acknowledged in the creation of the WHO's Accountability Commission. 5 Continued investments in health systems should ensure that high quality data collection and analysis are at their centre.

Each group specializes in different aspects of antimalarial drug resistance and works collaboratively to develop customized tools and services designed to facilitate quality-assured data collection, analysis, and reporting.

The seven qualitative studies were high quality with regard to data collection, analysis and reporting; however most lacked a clear theoretical framework; did not address interviewer bias; or provide a rationale for sample size.

HLR was responsible for the conception and overall supervision of the quality data collection, data entry and analysis.

Firstly, although non-peer reviewed publications have the potential to provide valuable insights in this area, the quality of methods applied to data collection, analysis and interpretation may vary substantially [ 98].

We decided not to include grey literature because of the following reasons: Firstly, although non-peer reviewed publications have the potential to provide valuable insights in this area, the quality of methods applied to data collection, analysis and interpretation may vary substantially [ 98 ].