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Hence if we are interested in understanding the relationship between satisfaction and adherence, we need to know patient subjective experiences.
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In clinical practice we need to measure adherence in a cheap and relatively unobtrusive way which can be used routinely.
After the filtering step, we need to define the adherence between the learning object and user profile and context, where it is checked whether the features of these objects are adhering to user profile and context items.
But if we are to allow population genetic research to move forward, we need to recognize that adherence to this traditional model of informed consent is problematic.
Adherence data need to be regarded with some caution.
For the same reasons, adherence data need to be interpreted with caution.
Consequently, to optimise adherence researchers need to investigate how to effectively design and deliver such approaches [ 3].
Although our study suggests that better adherence and persistence are associated with better A1C outcomes, there are potential barriers to adherence that need to be addressed.
The relatively high prevalence of oral-mucosal lesions (23.8 %) in our HIV-infected population accessing ART raised questions concerning ART efficacy or adherence that need to be explored.
If adherence interventions/programs need to consist of patient-specific barrier-reducing measures [ 5- 9], a reliable and practical tool for identification of those barriers is needed.
Any threats to ART adherence need to be taken seriously if we are to optimise treatment outcomes for individuals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com