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For that purpose, we prepared a questionnaire with 10 multiple choice questions related to refined knowledge about quality attribute trade-offs in the SA systems domain.
Several major market operators argue that the current level of knowledge about quality is too scant to justify a switch to a large-scale production of triploid salmon.
These movements are shown to entail the staging and stabilizing of "knowing patients" in both senses of the term: these are patients that are equipped and empowered as consumers with knowledge about quality and their care, and simultaneously stripped of their individualizing characteristics so as to be made knowable to organizations in terms that can be managed and improved.
The requisite knowledge about quality approaches and their implementation are often lacking among health personnel [ 3].
QICs are described as temporary learning organizations, in which knowledge about quality improvement themes, models and methods for change, is exchanged [ 4, 6– 8].
Indeed, throughout healthcare practice and discourse, knowledge about quality is increasingly only produced in a specific way and on the basis of a specific style (c.f. [ 100, 101]).
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In particular, we will deal with and conceptualize the following dimensions: the SUD quality itself, the activities of the harmonization process including the interaction of the parties involved while gathering quality requirements, the knowledge about these parties and the differences in their perception of quality, and the amount of knowledge about quality-related issues.
For example the challenges may range from corruption to poor information management (thus making data collection and evaluation especially difficult) to knowledge gaps about quality and safety among health care workers to difficulties in surveyor travel to remote settings of healthcare delivery.
3 These domains are knowledge (the ability to interpret the information correctly, resulting in comprehension of information and knowledge about the quality scoring system) and attitude (beliefs regarding quality information including trust, appreciation, value and use of information).
The QIOs' work in this Nursing Home Quality Initiative will greatly contribute to the body of knowledge about facilitating quality improvement efforts in the nursing home setting, although it remains to be seen whether these efforts lead to improved quality of care in nursing homes nationwide.
However, data quality is never perfect and the result must be interpreted with a good level of knowledge about the quality of the data used.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com