RAAT - Reading Attention Assessment Tool usage in the Healthcare

Sa？etak RAAT - Reading Attention Assessment Tool - applies the method of "beneficial error seeding" (3) for reading attention level assessment. Tool itself is the web-based application where original text is written, pasted, linked or uploaded and then automatically mutated with randomly added misplaced words. This mutated text is then sent out to examinees (patients, physicians, nurses) according to the distribution list. They read such mutated text in the web-application display service and urged to mark such planted errors (doubleclicked). After completing this process, web-application compares the errors marked and mutated aimed to report the "text owner" as well as to the individual examinee. Web-application is controlled by parameters defined by "text-owners": number of errors generated, character and placement of words used, time allowed for completing the reading, success threshold level, distribution lists, default messages etc. "Text-owner" can be any healthcare organization or individual who needs to check to what extent their texts (informed consent inquiries, prescriptions relevant to medication adherence, medical guidelines, manuals, scientific articles, internal procedures, terms of healthcare service, medical textbooks, ...) are read with due attention.If we only take into account medication adherence, global problem is huge: 50% patients do not adhere to the prescriptions, causing poor treatment, adverse reactions, readmissions and eventually deaths. Of course, causes of non-adhered behavior are numerous, but one of highly observed is low level of patients reading of instructions and prescriptions. Research focused strictly on reading attention level influence on non-adherence in taking drugs could not be found in scientific databases