Medical Non-Adherence

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Medical non-adherence introduction.
Medication non-adherence is a health care problem which is complex and multidimensional which can be caused by many factors.
Medication non-adherence divided into 4:
(1) Primary non-adherence- This is where the patient does not fill an initial prescription.
(2) Secondary non-adherence- It happens when refill of medicine is not done by the patient on time.
(3) Unintentional non-adherence- This is when patients forgets to take medicine or skips a scheduled dose.
(4) Intentional non-adherence- where the patient themselves decides to not take the medicine (3). Some of the factors that become barrier for medication adherence are example patient factor where the patient does not follow medicine intake as prescribed. …show more content…
It can be programmed so it can sound several times each day; some watches can sound 30 different alerts and users can choose between vibrating alarms and audio alarm .For example, OnTimeRx provides more advanced dosing-alarm system which can assist patient to take medication on time and in right dose. OnTimeRx can be downloaded by the patients who use computers or personal digital assistants. By using this program that has been downloaded, it will help them on keeping track of their medications and other health information too. Patient’s names, drug doses, regimens, and warnings for the entire drug can be registered and entered in the program. Other than that, the patient can benefit from OnTimeRx as they can set dosing schedules, receive alerts when it is time for medicine intake as scheduled or request refills when the medicine is finished, and keep records of patients drug intake. OnTimeRx also allow patients record and regularly update their medical history …show more content…
Real-time symptoms and perceptions of medications which are the part of patient-reported outcomes (PROs) needed to be collected as it is a crucial next step in the evolution of data systems to improve population health. The collection of data such as predictive analytics, electronic medical records data, and PROs helps the physician to allocate medication to the right patients at the right time. For example, in Duke University medical records data and PROs of breast cancer patients was collected and combined to identify and personalize an intervention. By doing this, the adjuvant endocrine therapy (AET) among breast cancer patient will be improved
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