A table in the article underlines the differences between "selective approaches" (linear thinking) focused on preventing specific problems and "systems thinking" In linear thinking, the program is developed from a blueprint, developed by trials in controlled circumstances, that are top-down in nature, often without considering local contexts or potential unintended consequences. In systems-based approaches, learning and context drive the action and selection of issues to be addressed as well as the programs. In linear thinking, the programs target disease-specific, quick-wins. Planners develop a specific program for a specific population and assess its ability to produce specific short-term outcomes. In systems-based approaches, the action is across various sectors, with key stakeholders involved from the beginning to develop and implement approaches across the relevant sectors. In selective thinking, there is a reliance on isolated, quantitative measures. Single snap shot data points are used by specialized experts to assess if the programs are meeting their objectives. In systems thinking, multiple interative measurements and synthesis as well as relationships are used to assess progress. Longitudinal, real-world data from multiple qualitative and quantitative sources are used to monitor relevant effects. Read more>>