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- W4237429497 abstract "<sec> <title>BACKGROUND</title> The Dialysis Guide (DG) is a patient decision aid (PDA) available as an app and developed for mobile phones for patients with chronic kidney disease facing the decision about dialysis modality. </sec> <sec> <title>OBJECTIVE</title> The aim of this study was to uncover the applicability of the DG as a PDA. </sec> <sec> <title>METHODS</title> The respondents completed a questionnaire before and after using the DG. The respondents' decisional conflicts were examined using the Decisional Conflict Scale, and the usability of the app was examined using the System Usability Scale (SUS). The change in decisional conflict was determined with a paired <italic>t</italic> test. </sec> <sec> <title>RESULTS</title> A total of 22 respondents participated and their mean age was 65.05 years; 20 out of 22 (90%) had attended a patient school for kidney disease, and 13 out of 22 (59%) had participated in a conversation about dialysis choice with a health professional. After using the DG, the respondents' decisional conflicts were reduced, though the reduction was not statistically significant (<italic>P</italic>=.49). The mean SUS score was 66.82 (SD 14.54), corresponding to low usability. </sec> <sec> <title>CONCLUSIONS</title> The DG did not significantly reduce decisional conflict, though the results indicate that it helped the respondents decide on dialysis modality. Attending a patient school and having a conversation about dialysis modality choice with a health professional is assumed to have had an impact on the decisional conflict before using the DG. The usability of the DG was not found to be sufficient, which might be caused by the respondents’ average age. Thus, the applicability of the DG cannot be definitively determined. </sec>" @default.
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- W4237429497 date "2019-02-22" @default.
- W4237429497 modified "2023-09-29" @default.
- W4237429497 title "A Patient Decision Aid App for Patients With Chronic Kidney Disease: Questionnaire Study (Preprint)" @default.
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- W4237429497 doi "https://doi.org/10.2196/preprints.13786" @default.
- W4237429497 hasPublicationYear "2019" @default.
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