A 3-yr daily supervised toothbrushing study with a double blind design was conducted to evaluate the anticaries effectiveness of a 1.14% sodium monofluorophosphate (MFP) dentifrice (1500 ppm F) compared to a 0.76% MFP dentifrice (1000 ppm F). This study began with nearly 4000 children, primarily aged 8-11, in grades 3-5, residing in a nonfluoridated community in Florida. A total of 2415 children completed 3 yr of the study, representing 61% of the children who began the study. The results indicate a statistically significant (P less than 0.001) anticaries benefit was derived over a 3-yr period from the use of the higher fluoride dentifrice (1500 ppm F) when compared to the positive control (1000 ppm F). Percent reductions in mean dental caries increments were 20.9%, 22.1%, 21.8%, 24.3%, and 35.2% for DMFT, DFT, DMFS, DFS, and DFS Interproximal, respectively.
Many organisations are increasingly dealing with massive amounts of data to face new competitive challenges. However, even if powerful technologies support data collection and analysis, the lack of appropriate resources and capabilities for handling socio-technical systems often hinders effective decision-making. Hence, this study aims to investigate how performance measurement systems should develop and drive appropriate resources and capabilities to enable effective decisionmaking for creating a competitive advantage in data-intensive organisations. A case study approach was adopted with seven data-intensive organisations using one-to-one semi-structured interviews, personal observation, and secondary sources such as company documentation, meetings notes, reports, etc. The findings highlight the relevance of organisational structure and cross-functional communication to cultivate senior management commitment and drive to develop data capturing and analytical capabilities to support effective decision-making. The findings also suggest that to enable superior data capturing capability, organisations should leverage on a higher degree of automation, a higher degree of awareness on data value, and data variety for providing accurate and timely information as well as developing new business insights. Similarly, to enable superior data analytics capability, organisations should develop analytical skills, data visualization, and data-driven culture to make effective decisions.
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