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Effective participation enhancing strategies are useful when optimizing implementation of future prevention programs in primary care.
Nevertheless, optimizing implementation of testing guidelines for PWID and monitoring of this group are among the highest priorities [ 80, 81].
While CHO doorstep service delivery is the core component of CHPS, optimizing implementation requires adjustment to social and ecological conditions of each district.
We however found clinicians' interest for the DBox topics differed across professions and topics, which might allow optimizing implementation of DBoxes in the next study by selecting the topics most appreciated for each profession.
Qualitative methods were employed using a pragmatic blended design that included a descriptive approach to describe factual information directly conveyed by participants such as current implementation resources and activities, and a grounded approach to elicit and understand participant views about optimizing implementation capacity or other approaches for improving guideline use [ 26, 27].
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These findings highlight variable implementation practices and emphasize the lack of insight on how to optimize implementation capacity.
Further research is needed to examine how to optimize implementation capacity by guideline developers, intermediaries and users.
In order to minimize costs and to optimize implementation effect, we continuously developed and adjusted implementation strategies according to identified barriers.
While implementation approaches and strategies need not be standardized across organizations, the findings may be used by health care policy makers and managers, and guideline developers to generate strategic and operational plans that optimize implementation capacity.
Combining these two evaluation approaches allowed us to build a comprehensive understanding of factors and contextual characteristics potentially influencing NP implementation, which in turn made it possible to provide evidence-based advice to optimize implementation and maximize NPs' effectiveness.
In this paper we demonstrate that a combination of state of the art numerical algorithms and a careful hardware optimized implementation allows to solve this large-scale inverse problem in a few seconds on standard desktop PCs with modern graphics hardware.
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