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Background: To reduce adverse outcomes of low hospital mobility, we need interventions that are scalable in everyday practice. This study assessed the feasibility and acceptability of the INTOMOB multilevel intervention addressing barriers to hospital mobility without requiring unavailable resources. Methods: The INTOMOB intervention, targeting older patients, healthcare professionals (HCPs) and the hospital environment, was implemented on acute general internal medicine wards of three hospitals (12/2022–03/2023). Feasibility and acceptability of the intervention were assessed and two types of accelerometers compared in a mixed methods study (patient and HCP surveys and interviews). Quantitative data were analyzed descriptively and qualitative data using a deductive approach. Results were integrated through meta-inferences. Results: Of 20 patients (mean age 74.1 years), 90% found the intervention helpful and 82% said the environment intervention (posters) stimulated mobility. The majority of 44 HCPs described the intervention as clear and helpful. There was no major implementation or technical issue. About 60% of patients and HCPs preferred a wrist-worn over an ankle-worn accelerometer. Conclusions: The INTOMOB intervention is feasible and well accepted. Patients' and HCPs' feedback allowed to further improve the intervention that will be tested in a cluster randomized trial and provides useful information for future mobility-fostering interventions. [ABSTRACT FROM AUTHOR]

Background: Lung function impairment persists in some patients for months after acute coronavirus disease 2019 (COVID-19). Long-term lung function, radiological features, and their association remain to be clarified. Objectives: We aimed to prospectively investigate lung function and radiological abnormalities over 12 months after severe and non-severe COVID-19. Methods: 584 patients were included in the Swiss COVID-19 lung study. We assessed lung function at 3, 6, and 12 months after acute COVID-19 and compared chest computed tomography (CT) imaging to lung functional abnormalities. Results: At 12 months, diffusion capacity for carbon monoxide (DLCOcorr) was lower after severe COVID-19 compared to non-severe COVID-19 (74.9% vs. 85.2% predicted, p < 0.001). Similarly, minimal oxygen saturation on 6-min walk test and total lung capacity were lower after severe COVID-19 (89.6% vs. 92.2%, p = 0.004, respectively, 88.2% vs. 95.1% predicted, p = 0.011). The difference for forced vital capacity (91.6% vs. 96.3% predicted, p = 0.082) was not statistically significant. Between 3 and 12 months, lung function improved in both groups and differences in DLCO between non-severe and severe COVID-19 patients decreased. In patients with chest CT scans at 12 months, we observed a correlation between radiological abnormalities and reduced lung function. While the overall extent of radiological abnormalities diminished over time, the frequency of mosaic attenuation and curvilinear patterns increased. Conclusions: In this prospective cohort study, patients who had severe COVID-19 had diminished lung function over the first year compared to those after non-severe COVID-19, albeit with a greater extent of recovery in the severe disease group. [ABSTRACT FROM AUTHOR]

Objectives: Readmission and death are frequent after a hospitalisation and difficult to predict. While many predictors have been identified, few studies have focused on functional status. We assessed whether performance-based functional impairment at discharge is associated with readmission and death after an acute medical hospitalisation. Design, setting and participants We prospectively included patients aged ≥50 years admitted to the Department of General Internal Medicine of a large community hospital. Functional status was assessed shortly before discharge using the Timed Up and Go test performed twice in a standard way by trained physiotherapists and was defined as a test duration ≥15 s. Sensitivity analyses using a cut-off at >10 and >20 s were performed. Primary and secondary outcome measures The primary and secondary outcome measures were unplanned readmission and death, respectively, within 6 months after discharge. Results: Within 6 months after discharge, 107/338 (31.7%) patients had an unplanned readmission and 31/338 (9.2%) died. Functional impairment was associated with higher risk of death (OR 2.44, 95% CI 1.15 to 5.18), but not with unplanned readmission (OR 1.34, 95% CI 0.84 to 2.15). No significant association was found between functional impairment and the total number of unplanned readmissions (adjusted OR 1.59, 95% CI 0.95 to 2.67). Conclusions: Functional impairment at discharge of an acute medical hospitalisation was associated with higher risk of death, but not of unplanned readmission within 6 months after discharge. Simple performance-based assessment may represent a better prognostic measure for mortality than for readmission.

In this article, we propose a model to teach uncertainty management. Our primary goal is to define the concept of uncertainty and its stakes. We then discuss the effect that uncertainty may have on physicians and patients. We finally present reliable strategies to address medical complexity and how to teach or assess complexity management., Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Urinary incontinence is a common urological condition. It is classified into several subtypes, among which most frequently encountered are stress, urgency and mixed incontinence. Urinary continence depends on many physiological factors, some of which can potentially be influenced by numerous medications. The most commonly implicated drugs in urinary incontinency are antipsychotics, antidepressants, benzodiazepines, alpha blockers, diuretics, and hormone replacement therapy for menopause. Although the prescription of these types of drugs continues to increase, their effect on continence has received little attention from prescribers., Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Diagnostic process is at the heart of medical practice. It allows the clinician faced to a medical problem to reach a diagnosis in order to implement a management plan. Sometimes perceived as a cognitive process taking place in the clinician's mind, the diagnostic process is collaborative involving the patient, the clinician, the health care system and its various stakeholders. Because of the difficulty in defining and identifying diagnostic errors, the magnitude of the problem remains difficult to determine. However, these errors are frequent, sometimes with serious consequences and often preventable. In this article, we provide an overview of current knowledge about diagnostic errors, emphasizing the importance of a systems approach to understanding them in their entirety., Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Polypharmacy and Potentially Inappropriate Medication (PIM) are major public health concerns. They are associated with higher morbi-mortality and a socio-economic burden. The medication review is a solution to limit PIM, especially in the elderly, and in cases of poly-morbidity. Many tools are available to support medication review. We will introduce here the Beers criteria, the PRISCUS list, the STOPP/START criteria, the MAI (Medication Appropriateness Index) and the Good-Palliative-Geriatric Practice Algorithm., Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Background: The theory that posthospitalization stress might increase the risk of postdischarge complications has never been investigated., Objective: To assess whether serum levels of stress biomarkers at discharge are associated with readmission and death after an acute-care hospitalization., Design: We prospectively included 346 patients aged ≥50 years admitted to the department of general internal medicine at a large community hospital between April 8, 2013 and September 23, 2013. We measured the serum levels of several biomarkers at discharge: midregional pro-adrenomedullin, copeptin, cortisol, and prolactin. All patients were followed for up to 90 days after discharge (none was lost to follow-up). The main outcome was first unplanned readmission or death within 30 days after hospital discharge. We assessed the additional value of biomarkers to 2 validated readmission prediction scores: the LACE index (Length of stay, Admission Acuity, Charlson Comorbidity Index, and number of Emergency department visits within preceding 6 months) and the HOSPITAL score (Hemoglobin level at discharge, discharge from Oncology service, Sodium level at discharge, any Procedure performed during index hospitalization, Index admission Type, number of Admissions within preceding 12 months, and Length of stay)., Results: Forty patients (11.6%) had a 30-day unplanned readmission or death. High serum copeptin and cortisol levels were associated with an increase in the odds of unplanned readmission or death (odds ratios [95% confidence interval] 2.69 [1.29-5.64] and 3.43 [1.36, 8.65], respectively). We found no significant association with midregional pro-adrenomedullin or prolactin. Furthermore, these stress biomarkers increased the performance of two readmission prediction scores (LACE index and HOSPITAL score)., Conclusion: High serum levels of copeptin and cortisol at discharge were independently associated with 30-day unplanned readmission or death, supporting a possible negative effect of hospitalization stress during the postdischarge period. Stress biomarkers improved the performance of prediction models and therefore could help better identify high-risk patients., (© 2017 Society of Hospital Medicine)

Principles: The HOSPITAL score is a simple prediction model that accurately identifies patients at high risk of readmission and showed good performance in an international multicentre retrospective study. We aimed to demonstrate prospectively its accuracy to predict 30-day unplanned readmission and death., Methods: We prospectively screened all consecutive patients aged ≥50 years admitted to the department of general internal medicine of a large community hospital in Switzerland. We excluded patients who refused to give consent, who died during hospitalisation, or who were transferred to another acute care, rehabilitation or palliative care facility. The primary outcome was the first unplanned readmission or death within 30 days after discharge. Some of the predictors of the original score (discharge from an oncology service and length of stay) were adapted according to the setting for practical reasons, before the start of patient inclusion. We also assessed a simplified version of the score, without the variable "any procedure performed during hospitalisation". The performance of the score was evaluated according to its overall accuracy (Brier score), its discriminatory power (C-statistic), and its calibration (Hosmer-Lemeshow goodness-of-fit test)., Results: Among the 346 included patients, 40 (11.6%) had a 30-day unplanned readmission or death. The HOSPITAL score showed very good accuracy (Brier score 0.10), good discriminatory power (C-statistic 0.70, 95% confidence interval [CI] 0.62-0.79), and an excellent calibration (p = 0.77). Patients were classified into three risk categories for the primary outcome: low (59%), intermediate (20.8%) and high risk (20.2%). The estimated risks of unplanned readmission/death for each category were 8.2%, 11.3% and 21.6%, respectively. The simplified score showed the same performance, with a Brier score of 0.10, a C-statistic of 0.70 (95% CI 0.61-0.79), and a goodness-of-fit statistic of 0.40., Conclusions: The HOSPITAL score prospectively identified patients at high risk of 30-day unplanned readmission or death with good performance in medical patients in Switzerland. Its simplicity and good performance make it an easy-to-use tool to target patients who might most benefit from intensive transitional care interventions.