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

• Author(s): Sá-Sousa, Ana ; Amaral, Rita ; Almeida, Rute ; Freitas, Alberto ; Fonseca, João A
• Date: 2019
• Persistent ID: http://hdl.handle.net/10400.22/16257
• Origin: Repositório Científico do Instituto Politécnico do Porto
• Subject(s): Asthma; COPD - management
• Document Type: Conference object
• Language: English
• Contributor(s): REPOSITÓRIO P.PORTO

Description

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.