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Within healthcare settings, discrimination by healthcare providers can function as a key barrier to obtaining needed services, resulting in avoidance or delays in treatment seeking, underdiagnosis and mistreatment, nonadherence with or discontinuation of treatment, and poor treatment outcomes [ 8– 11].
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Again the animals were tested by replacing a component of the reinforced compound from the occasion-setting discrimination with a transfer stimulus.
Thus if the original CS is substituted by a transfer CS, responding will be maintained to the extent that the test compound is similar to the training compound – so that an occasion setter should be equally effective with a transfer CS, regardless of whether its outcome matches that of the occasion-setting discrimination or not.
There is now considerable evidence that configural accounts of this type can explain learning in a variety of circumstances, including occasion-setting discriminations (e.g. Williams et al., 1994).
Discrimination experiences were most prevalent in insurance (29.2%), family (15.5%), and social (12.4%) settings, with discrimination in employment, healthcare, and public sector settings reported much less often (table 2).
The aim of the present experiments is therefore to examine whether configural accounts are sufficient to explain all occasion-setting type discriminations.
Such artefacts might lead to erroneous discrimination settings for uninfected cells.
In the Vietnamese settings, stigma and discrimination were found to be a significant barrier that affected adherence to and HRQOL outcomes of ART [ 27].
We repeated the entire modeling process with different settings for the discrimination distance that defines clonal clusters (see details in Materials and methods) confirming the robustness of the estimated clonality rate.
Finally, we repeated the entire modeling process with different settings for the discrimination distance, in order to assess the robustness of the estimated clonality rate to different values for this parameter.
"Experiences of interpersonal and institutional discrimination in settings such as schools, healthcare facilities, and structural barriers to informed and appropriate healthcare are amongst the key factors that contribute to this risk profile".
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