Population Health Measurement

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Population Health Measurement: Purposes and Key Determinants
Population Health means health outcomes and their distribution within the group of people. In other words, it is a health approach with a purpose of improving health of human population in whole. This improvement is achieved due to number of wellness activities aimed to support the purpose. However, in order to manage this improvement, population health should be measured and determined. Three main purposes of population health measurement are improvement, accountability, and research. The aim of this paper is to overview and to analyze these purposes and their connection to each other, and to define key determinants of population health.
The first main purpose for management in population health is improvement. The common strategy for this purpose runs that measurements are limited, learning should come out of minimally obtained information, and hypotheses are changeable and flexible. Basically, the model for improvement consists of two parts. The first part frames the way of improvement; it requires the understanding of what we try to accomplish, how we know that one or another change is an improvement, and what change we can make in order to get an improvement.
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Improvement means lack of data and lots of hypotheses, accountability, on contrary, concentrates on gaining and analyzing all possible data, and research combining improvement and accountability uses obtained due to data knowledge in order to prove hypotheses. Generally, population health is determined by five key factors: social environment, physical environment, genetic environment, health care, and individual behavior. The only one of them we can easily affect is individual behavior; only we ourselves define our habits, diet, exercise, and regular medical examinations. First and foremost, our health should be our own top

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