Journal of evaluation in clinical practice
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Patients who seek healthcare for long-lasting pain and symptoms without a detectable disease must put in extra work to be taken seriously and gain recognition as a patient. However, little is known about how patients' help-seeking is performed in clinical practice. The aim of the current study was to gain knowledge about the ways in which patients with chronic muscle pain position themselves as help-seekers during their first physiotherapy encounter. ⋯ Patients with chronic muscle pain seek to establish their legitimacy through the positivistic discourse of medicine and also through their compliance with the moral discourse of the patient as someone active, willing to take responsibility for their own health-and therefore worthy of treatment.
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Hearing loss is a common problem for older adults entering rehabilitation hospitals. ⋯ Screening for hearing loss is feasible in a geriatric day hospital. The SHOEBOX QuickTest app is acceptable, usable, resulting in the identification of undiagnosed hearing loss and in changes to physician behaviour.
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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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Network meta-analysis (NMA) quantifies the relative efficacy of three or more interventions from trials evaluating some, but usually not all, treatments. This study applied the analytical approach of NMA to quantify the relative accuracy of prediction models with distinct patient applicability that are evaluated on the same population ('concurrent external validation'). ⋯ The NeRMA Score makes it possible to quantify the relative accuracy of binomial prediction models with distinct applicability in a concurrent external validation.
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Increasing demand for hospital services can lead to overcrowding and delays in treatment, poorer outcomes and a high cost-burden. The medical ambulatory care service (MACS) provides out of hospital patient care, including diagnostic and therapeutic interventions for patients that require urgent attention, but which can be safely administered in the ambulatory environment. The programme is yet to be rigorously evaluated. ⋯ MACS was found to be cost-effective for GP and ward-referred groups, but the expected impact for ED-referred patients is sensitive to assumptions. Expansion of the service for GP-referred patients is expected to reduce hospitalizations the most and generate the largest net cost savings.