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The quality of German - language patient decision aids for oncological patients on the internet.
- Source :
- BMC Medical Informatics & Decision Making; 8/18/2023, Vol. 23 Issue 1, p1-12, 12p
- Publication Year :
- 2023
-
Abstract
- Background: Previous studies have already shown that decision aids are a suitable tool for patient decision-making. The aim of this work is to conduct an online search for freely available, German-language patient decision aids (PDAs) for cancer patients, followed by an assessment of their quality. For this purpose, a rating tool that is as manageable as possible was developed on the basis of already existing quality criteria. Methods: A simulated patient online search was conducted via the four most frequently used search engines in Germany. A quality assessment tool was created utilizing international and national guidelines, with a focus on practicality and manageability. Subsequently, the identified PDAs were rated by 4 raters based on the rating tool. Results: The number of German-language oncology PDAs is low (n = 22 of 200 URLs) with limited variability regarding rare cancers. Most originate from non-profit organizations. The overall quality is low, as indicated by an average of 57.52% of the maximum evaluation points of the developed quality assessment tool. Reference values used to assess quality were related to e.g. support/effectiveness, adaptation, layout, etc. No qualitative differences were found regarding different publishers. Quality differed between PDAs of different length, with longer PDAs achieving better results. Conclusion: Overall, the supply and quality of German-language PDAs is not satisfactory. The assessment tool created in this study provides a solid, but more manageable basis, for developing and identifying high-quality PDAs. Practice implications: PDAs should be increasingly used by physicians in practice. For this, a quick qualitative assessment of PDAs in everyday life must be possible. Future research has to investigate especially the aspect of the length of a PDA in more detail. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14726947
- Volume :
- 23
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- BMC Medical Informatics & Decision Making
- Publication Type :
- Academic Journal
- Accession number :
- 170028043
- Full Text :
- https://doi.org/10.1186/s12911-023-02259-4