Data-driven prescription patterns in patients under maintenance treatment for respiratory diseases from the Portuguese prescription database

Sá-Sousa, Ana; Amaral, Rita; Almeida, Rute; Freitas, Alberto; Fonseca, João A

http://hdl.handle.net/10400.22/16257

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Abstract(s)

We aimed to identify prescription patterns in respiratory patients using an unsupervised (data-driven) method, in a random sample of patients aged >14 years (n=8799), retrieved from the Portuguese Electronic Medical Prescription database. Respiratory patients were defined if >2 packs of maintenance treatment for respiratory diseases were prescribed in 2016. We analysed all the prescriptions (n=39810) for respiratory diseases and exacerbations by medication type. Two-step clustering was based on the presence of ICS, LABA, LTRA, LAMA, LABA, SABA, SAMA and on the speciality of prescriber.

Keywords

Asthma COPD - management

URI

http://hdl.handle.net/10400.22/16257

Citation

Sá-Sousa, A., Amaral, R., Almeida, R., Freitas, A., & Fonseca, J. A. (2019). Data-driven prescription patterns in patients under maintenance treatment for respiratory diseases from the Portuguese prescription database. European Respiratory Journal, 54(suppl 63). https://doi.org/10.1183/13993003.congress-2019.PA2502