The impact of non-adherence with medicines on clinical outcomes may vary by the amount of non-adherence and whether it is predominantly omission or addition of therapy.
Some estimate of the amount of person time with optimal adherence may be useful, since this relates exposure to levels needed to achieve a biological effect.
38 However, we found that the detection rate in our population ranged widely between maternity units (12.5-50.0%), 39 varying with the amount of staff training and adherence to protocols.
The amount of variation in clinic-level adherence explained by pharmacy bottleneck measures was 4.2%.
The amount of variation in clinic-level adherence explained by pharmacist presence or pharmacist FTE was small with R-squared values ranging from 0.0009 to 0.0074.
Villagra and Ahmed [ 6] and Sidorov et al. [ 14] observed similar effects suggesting that disease management is likely to increase the amount of medication due to higher adherence to pharmacological regimes on the one hand, while decreasing the amount of medication due to appropriate use and better disease control on the other.
In addition, shorter times between visits may help reduce errors by reducing the amount of surplus tablets issued and allowing adherence messages to be reinforced more frequently.
As secondary non-adherence refers to the amount of prescribed drugs and not to the patients' filled prescriptions, the drug cost related to non-adherence is defined as the difference in cost between actual, filled prescriptions (primary adherence) and a calculated estimation of the total cost of the amount of drugs taken as prescribed (secondary adherence).
Interestingly, inhibition of DPP4 activity with diprotin A also enhanced the amount of Tissue Factor encountered and induced the adherence of platelets under flow conditions.
Summaries of optimal adherence, such as the proportion of person years with adherence ≥90%%, may give a better reflection of actual product use, but are more sensitive to assumptions made about intervals with unknown adherence, particularly when the amount of missing data is large.
