Generative AI for Medication Counselling and Adherence in Community Pharmacies
NCT07649577
Asthma, Bronchial Diseases
Amman, Jordan
View Trial DetailsNCT Number: NCT02115412
Research has shown that nearly 50% of patients with chronic conditions around the globe do not adhere to their prescribed medicine, leading to enormous cost to the healthcare providers. Non-adherence can be due to various forms and have multiple causes.
To address this need, Philips Research has developed Medication Non-adherence model. This tool will help in developing a systemic way of assessing medication non-adherence and providing decision support for targeted intervention to healthcare professionals. The aim of this study is to validate this model with 750 chronically ill patients in UK.
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Notify Me18 year–89 year
All sexes
Observational
Swan Lane Medical Centre, Bolton, Greater Manchester, United Kingdom
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 6 months
Self-reported behavioral questionnaire completed at 3 monthly intervals
Time frame: 18 months
Collecting refill data from the pharmacy where patients are registered to. Time Frame: 18 months (12 month prior to enrollment + 6 months during the study
Time frame: 18 months
Any adverse events (eg: hospitalisation, elective surgeries), which may have resulted change in their daily medication routine Time Frame: 18 months, meaning 12 month prior to enrollment + 6 months during the study
Philips Healthcare
Industry
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