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Systems Thinking In Public Health - Coggle Diagram
Systems Thinking In Public Health
Systems Analysis
A system method of thinking looks at how risk factors may influence or effect different outcomes when looked at through a variety of different risk factors as opposed to a single potential determinant.
1) Identify key influences can an outcome
2) Identify the influences with the greatest impact and their relative strength.
3) Inspect how the different influences interact with other influences. Additive, multiplicative, or subtractive effects.
4) Identify feedback loops within the system to identify potential changes.
5) Identify bottlenecks that may limit the system
6) Identify leverage points that may improve outcomes.
Population Health
Interactions Between Factors and Etiology of Disease
Recognizing the potential negative effects of two different influences on health, one that may multiply the effects of the other and vice versa are vital in understanding how to reduce the risk of worsening an ailment and preventing other from facing the effects themselves.
How Different Diseases Interact
Diseases can exist and propagate further as a result of other diseases and result in syndromes or syndic diseases.
Identifying Bottlenecks and Leverage Points
Bottlenecks, points at which an event slows, and Leverage points, where events can be shifted to a better outcome, are ways in which we can influence diseases in a positive way.
Dealing with Multiple Simultaneous Interventions
By using multiple forms of intervention at the primary, secondary, and tertiary levels, can help further prevent people from contracting diseases, and treat preexisting patients more effectively.
Looking at the Bigger Picture
These strategies can help to target a wide range of issues rather than a singular piece at a time. Systems can also be great for preventing disease earlier and informing the population of potential risk factors.
Providing Help For Those Who Need It
The systems health model can be especially helpful for individuals with low income and may suffer from various health disparities as a result. The systems model can firstly provide a framework for which citizens and health professionals can operate effectively within. Secondly, by enacting them, they will eventually be able to further develop tools and strategies that help provide for people that need it. Thirdly, it will make data collection far simpler and more helpful for those using it. These benefits can help identify and alleviate potential health disparities and certainly should be looked into being implemented sooner rather than later.