The Investigation of the Relationship Between Pharmaceutical Consumption and Health Status
It is thought that it is important to reveal the contribution of pharmaceutical consumption
to health outcomes because the share of pharmaceutical expenditures
in health expenditures is quite high and the debate about controlling healthcare
costs. The study aims to examine the relationship between pharmaceutical consumption
and the health status of EFPIA member countries with canonical correlation
analysis. It was found that the health status of the EFPIA member countries
and their pharmaceutical consumption were strongly correlated (rc=75.9).
According to canonical cross loadings, the variable of life expectancy at birth
(0.846), which has the strongest relationship with its own set, also establishes the
strongest relationship with pharmaceutical consumption (0.642). The pharmaceutical
consumption dataset remarkably correlates with antidepressant use and
lipid use, respectively. According to canonical cross loadings, antidepressant use,
which had the strongest association with its own set, had the strongest association
with the health status dataset (0.592). This research provides evidence that
pharmaceutical consumption and the health status of EFPIA member countries
are positive associated. It is thought that the potential of pharmaceutical-related
interventions can be exploited as a way to improve the health status.
The Investigation of the Relationship Between Pharmaceutical Consumption and Health Status
It is thought that it is important to reveal the contribution of pharmaceutical consumption
to health outcomes because the share of pharmaceutical expenditures
in health expenditures is quite high and the debate about controlling healthcare
costs. The study aims to examine the relationship between pharmaceutical consumption
and the health status of EFPIA member countries with canonical correlation
analysis. It was found that the health status of the EFPIA member countries
and their pharmaceutical consumption were strongly correlated (rc=75.9).
According to canonical cross loadings, the variable of life expectancy at birth
(0.846), which has the strongest relationship with its own set, also establishes the
strongest relationship with pharmaceutical consumption (0.642). The pharmaceutical
consumption dataset remarkably correlates with antidepressant use and
lipid use, respectively. According to canonical cross loadings, antidepressant use,
which had the strongest association with its own set, had the strongest association
with the health status dataset (0.592). This research provides evidence that
pharmaceutical consumption and the health status of EFPIA member countries
are positive associated. It is thought that the potential of pharmaceutical-related
interventions can be exploited as a way to improve the health status.
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