Further research is required to evaluate the economic impact of CAM usage, to further examine other potential factors determining the use of CAMs such as individuals' value systems and beliefs, access to care, health literacy and quality of life, and to rigorously study the causal interactions between CAM use, asthma control and use of controller medications.
The objective of this study was to explore the association between CAM use, asthma control and the use of controller medications in a random sample of adult patients with asthma.
The CAM usage was inversely associated with asthma control, whereas unrelated to the use of controller medications.
In a school-based intervention for urban adolescents, Bruzzese et al. [ 5] report that the students in the intervention group relative to the control group reported significantly greater use of controller medication, and more confidence to manage their asthma.
Another approach for controlling the vehicle motion is the use of controller design methods based on kinematic models without pre-calculating the optimal paths for a given map.
There was no difference in the reported use of controller medications (inhaled steroids and montelukast) between the control and remediation groups at CV1, CV2, or CV3 (data not shown).
In addition, the use of controller treatment was associated with the highest direct asthma-related costs regardless of the level of control and after adjustment for several potentially confounding factors (except in the subgroup of Spanish patients with uncontrolled asthma).
They proposed better management of asthma through increased use of controller medications.
The targeted behaviors include: 1) effective use of controller medications, 2) effective use of rescue medications, and 3) monitoring to ensure optimal control.
Targeted behaviors included 1) effective use of controller medications, 2) effective use of rescue medications and 3) monitoring to ensure optimal control.
