Journal of evaluation in clinical practice
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Is data-driven analysis sufficient for understanding the COVID-19 pandemic and for justifying public health regulations? In this paper, we argue that such analysis is insufficient. Rather what is needed is the identification and implementation of over-arching hypothesis-related and/or theory-based rationales to conduct effective SARS-CoV2/COVID-19 (Corona) research. ⋯ For this reason, we propose nested and integrative systemic modelling approaches to understand Corona pandemic and Corona pathology. We conclude that institutional efforts for knowledge integration and systemic thinking, but also for integrated science, are urgently needed to avoid or mitigate future pandemics and to resolve infection pathology.
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Review
Factors influencing defensive medicine-based decision-making in primary care: A scoping review.
Medical decision-making processes in primary care are influenced by defensive medical practice. This involves a high possibility for negative consequences on many levels, for example, patient's health, health care system costs and a crisis of trust in the patient-doctor relationship. Aim of this review was to identify factors of defensive medicine-based decision-making in primary care. ⋯ Four categories on influencing factors of defensive medicine could be identified. Strategies to tolerate uncertainty should be trained in under- and postgraduate training.
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Concepts such as patient-centred care, patient empowerment and patient participation have challenged our understanding of what it means to be a patient and what role patients play in care pathways. Consequently, patientology as the medical sociological and anthropological study of patients is currently being reconceptualized through perspectives of health as individualized and privatized capital. ⋯ The implications of these findings extend beyond the concrete care contexts studied. This article contributes to our understanding of care pathways through a perspective of health inequalities being based on differences in health capital and demonstrates how the health capital-theoretic patientology model facilitates the systematic development of guidelines for healthcare professionals to assess patients' resources and tailor their care pathways accordingly.
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Although precision medicine is seen by many as one of the most promising advances in the field of medicine, it has also raised critical questions at various levels. Many of these concerns revolve around an observation described by Kimmelman and Tannock as the 'paradox of precision medicine': somewhat surprisingly, uncertainty seems to be a key characteristic of precision medicine in practice. ⋯ Uncertainty may not merely be a transient effect of the novelty of the precision medicine paradigm. Rather, it should be seen as a consequence of the ontological, epistemological and practical complexity of precision medicine, implying that uncertainty will not necessarily be reduced by more research. This finding encourages further investigations to better understand the interactions among various factors and aspects of uncertainty in precision medicine and the resulting implications for research and medical practice.
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Total knee arthroplasty is a common surgical procedure but not appropriate for all patients with knee osteoarthritis. Patient decision aids (PtDAs) can promote shared decision making and enhance understanding and expectations of procedures among patients, resulting in better discussions between patients and healthcare providers about whether total knee arthroplasty is the most appropriate option. ⋯ Although we were not able to detect statistically significant benefits associated with implementing this PROMs-based PtDA, there was no apparent negative effect on these outcomes 1 year after baseline. We anticipate there may be benefit to implementing this PtDA earlier in the osteoarthritis care pathway where patients have more opportunities to manage their disease non-surgically.