par Cataldo, Didier;Hanon, Shane;Peché, Rudi;Schuermans, Daniel;Degryse, Jean Marie;De Wulf, Isabelle;Elinck, Karin;Leys, Mathias;Rummens, Peter ;Derom, Eric
Référence Advances in therapy, 39, 3, page (1149-1163)
Publication Publié, 2022-03
Référence Advances in therapy, 39, 3, page (1149-1163)
Publication Publié, 2022-03
Article révisé par les pairs
Résumé : | There are many different inhaler devices and medications on the market for the treatment of asthma and chronic obstructive pulmonary disease, with over 230 drug-delivery system combinations available. However, despite the abundance of effective treatment options, the achieved disease control in clinical practice often remains unsatisfactory. In this context, a key determining factor is the match or mismatch of an inhalation device with the characteristics or needs of an individual patient. Indeed, to date, no ideal device exists that fits all patients, and a personalized approach needs to be considered. Several useful choice-guiding algorithms have been developed in the recent years to improve inhaler–patient matching, but a comprehensive tool that translates the multifactorial complexity of inhalation therapy into a user-friendly algorithm is still lacking. To address this, a multidisciplinary expert panel has developed an evidence-based practical treatment tool that allows a straightforward way of choosing the right inhaler for each patient. |