Journal of evaluation in clinical practice
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Complexity in healthcare systems has been arbitrarily defined as tasks or systems ranging from complicated to intractable, with a general view of these not being 'simple'. Complexity in healthcare systems in first-world countries has been well elucidated, however, data from third-world countries is still scant. MATERIALS AND METHODS: We present four cases each from three different organ systems-chronic kidney disease, alcohol use disorder, and heart failure-in the backdrop of our healthcare organization. We present our analysis of the complexities faced clinically and, in our local healthcare system which led to these events. ⋯ Complexities exist clinically in making a diagnosis, and organizationally, in the variables and nodes dictating patient outcomes. Clinical complexities cannot be simplified but have to be navigated in an optimized way to improve clinical outcomes.
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Substance use-targeted harm reduction (HR) has successfully expanded from public health into clinical settings. Hospital-based providers are in positions to encounter, precipitate and/or mediate ethically fraught situations that can arise around clinical HR-informed interventions. We examine why these situations occur and how they might be better addressed. ⋯ HR's use in the general hospital and other clinical settings is a positive development, but one that brings with it new ethical demands. Broader knowledge of the principles of HR, of the application of those principles to the hospital setting, and of common-ground concepts from outside of HR could help facilitate productive ethical engagement around substance-using patients.
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Unwarranted clinical variation (UCV) is an undesirable aspect of a healthcare system, but analyzing for UCV can be difficult and time-consuming. No analytic feature guidelines currently exist to aid researchers. We performed a systematic review of UCV literature to identify and classify the features researchers have identified as necessary for the analysis of UCV. ⋯ Twenty-eight analytic features have been identified, and a categorisation has been established showing the relationships between features. Identifying and classifying features provides guidelines for known confounders during analysis and reduces the steps required when performing UCV analysis; there is no longer a need for a UCV researcher to engage in time-consuming feature engineering activities.