LAUSR

Asthma affects over 200 million people worldwide and uncontrolledcases typically lead to themostmorbidity.1Guidelines can improve asthma symptom control and patient outcomes, althoughtheiruseinpractice issuboptimal(e.g.,<40%documented keycomponents).2–4To improvetheserates, approachesbasedon clinical informatics such as guideline-adherent computerized clinical decision support (CDS) tools have been attempted.5–8 These tools canprovide standardized, personalized, and comprehensive care to improve outcomes.9–11 Asthma CDS tools have not been readily adopted into practice, thus reducing their effectiveness due to lack of use.9,12–16 Reasons suggested for low uptake appear similar to general issues with computerized CDS17–19 (e.g., poor workflow integration, negative end-user beliefs),20–22 but there has not been an inventoryof facilitators andbarriers touse in the asthmaCDS tool domain. Detailing this could improve the design process for asthma-specific computerized CDS tools by highlighting relevant aspects, centralizing knowledge about key features, and identifying the most effective implementation strategies.23