Journal of evaluation in clinical practice
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Social determinants of health (SDOH) are being considered more frequently when providing orthopaedic care due to their impact on treatment outcomes. Simultaneously, prognostic machine learning (ML) models that facilitate clinical decision making have become popular tools in the field of orthopaedic surgery. When ML-driven tools are developed, it is important that the perpetuation of potential disparities is minimized. One approach is to consider SDOH during model development. To date, it remains unclear whether and how existing prognostic ML models for orthopaedic outcomes consider SDOH variables. ⋯ The current level of reporting and consideration of SDOH during the development of prognostic ML models for orthopaedic outcomes is limited. Healthcare providers should be critical of the models they consider using and knowledgeable regarding the quality of model development, such as adherence to recognized methodological standards. Future efforts should aim to avoid bias and disparities when developing ML-driven applications for orthopaedics.
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Nursing can be a stressful occupation with many nurses struggling to cope with stress on a day-to-day basis. Considerable evidence suggests that positive coping strategies can be an effective part of stress management education programs. This article describes the theoretical rationale for a cognitive framework for stress management that was developed as part of a well-being educational program for cancer nurses. ⋯ The stress management framework was intended to increase nurses' perceptions of personal control which is central to stress management. The academic coping literature is complex, jargon laden and often conceptually abstract, and may not easily be understood by a nonacademic audience. The cognitive framework described here is an evidence-based, user-friendly tool that could be used and evaluated by counsellors, educators, and researchers in different settings.
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Self-management of a chronic illness is a struggle for many patients. There is substantial evidence that patients are not as successful as they and their providers would like. Considering patient self-management through an innovative and diverse lens could help patients, providers and the health care system to consider novel changes to improve success. ⋯ Creating a job description for the 'job' of patient is a crucial step in understanding the work chronically ill patients undertake. Knowing the duties, their associated tasks and KSAs, and resources required to perform those tasks enables patients and their providers and advocates to better identify ways to assist, relieve and encourage these patients in order to maximize patient success.
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The healthcare system and professionals working in the sector have experienced a high caseload during the coronavirus disease 2019 (COVID-19) pandemic. This has increased the potential for morally harmful events that violate professionals' moral codes and values. The aim of this study was to understand and explore experiences of new moral challenges emerging among physicians and nurses caring for individuals during the COVID-19 pandemic. ⋯ Health institutions must implement interventions for health professionals to help mitigate the consequences of experiencing complex ethical scenarios during the pandemic. In addition, they should promote training in moral and ethical deliberation and prepare them to make decisions of great ethical significance.
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This article describes the planning and development of a novel self-management support protocol, self-management engaging together (SET) for Health, purposefully designed and embedded within traditional case management services to be accessible to people living with schizophrenia and comorbidities. Drawing on established self-management principles, SET for Health was codesigned by researchers, healthcare providers and clients, to create a practical and meaningful intervention to support the target group to manage their own health and wellness. Decision making is described behind tailoring the self-management innovation to meet the needs of an at risk, disadvantaged group served by tertiary, public health care in Canada. ⋯ Planning and developing a model of self-management support for integration into traditional schizophrenia case management services required attention to the complex social ecological nature of the treatment approach and the workplace context. Demonstration of proof of concept is described in a separate paper.