Bringing society back into our understanding of European cross-border care

We are pleased to discuss our study on the European Health Insurance Card (EHIC) and the redistributive effects of EHIC-related east–west patient and payment flows across regions and social classes. Our critics confirm our key finding: EHIC patient outflows from Eastern European (EE) to Western European (WE) countries result in a much higher relative burden for the budgets of EE states than outflows from WE to EE do for WE countries. Starting from what they see as the true mission of social security coordination, however, they also tell us that we should never have studied the redistributive impact of EHIC patient and payment flows in the first place. In this response, we therefore explicate the differences between our empirical sociological perspective and our critics’ normative legal approach. This is important, especially when social facts contradict normative legal assumptions as in our case. The EU laws that govern EHIC patient and payment flows are indeed based on the free movement provisions of the EU’s internal market project, but our empirical findings show that the promise of ‘economic, social and territorial cohesion, and solidarity among Member States’ contained in Article 3.3 of the Treaty of the European Union is not realized in practice in the case of east–west EHIC payment flows and patient mobility.

Smartphone GPS signatures of patients undergoing spine surgery correlate with mobility and current gold standard outcome measures

OBJECTIVE Patient-reported outcome measures (PROMs) are currently the gold standard to evaluate patient physical performance and ability to recover after spine surgery. However, PROMs have significant limitations due to the qualitative and subjective nature of the information reported as well as the impossibility of using this method in a continuous manner. The smartphone global positioning system (GPS) can be used to provide continuous, quantitative, and objective information on patient mobility. The aim of this study was to use daily mobility features derived from the smartphone GPS to characterize the perioperative period of patients undergoing spine surgery and to compare these objective measurements to PROMs, the current gold standard. METHODS Eight daily mobility features were derived from smartphone GPS data in a population of 39 patients undergoing spine surgery for a period of 2 months starting 3weeks before surgery. In parallel, three different PROMs for pain (visual analog scale [VAS]), disability (Oswestry Disability Index [ODI]) and functional status (Patient-Reported Outcomes Measurement Information System [PROMIS]) were serially measured. Segmented linear regression analysis was used to assess trends before and after surgery. The Student paired t-test was used to compare pre- and postoperative PROM scores. Pearson’s correlation was calculated between the daily average of each GPS-based mobility feature and the daily average of each PROM score during the recovery period. RESULTS Smartphone GPS features provided data documenting a reduction in mobility during the immediate postoperative period, followed by a progressive and steady increase with a return to baseline mobility values 1 month after surgery. PROMs measuring pain, physical performance, and disability were significantly different 1 month after surgery compared to the 2 immediate preoperative weeks. The GPS-based features presented moderate to strong linear correlation with pain VAS and PROMIS physical score during the recovery period (Pearson r > 0.7), whereas the ODI and PROMIS mental scores presented a weak correlation (Pearson r approximately 0.4). CONCLUSIONS Smartphone-derived GPS features were shown to accurately characterize perioperative mobility trends in patients undergoing surgery for spine-related diseases. Features related to time (rather than distance) were better at describing patient physical and performance status. Smartphone GPS has the potential to be used for the development of accurate, noninvasive and personalized tools for patient mobility monitoring after surgery.

Nurses’ Perceptions of Barriers to Out-of-Bed Activities Among Patients Receiving Mechanical Ventilation

Background Delays in early patient mobility are common in critical care areas. Oral intubation with mechanical ventilation is negatively associated with out-of-bed activities. Objectives To explore nurses’ mobility practices for patients with oral intubation and mechanical ventilation and identify barriers related to patient, nurse, and environment-of-care factors specific to this population. Methods In this cross-sectional, descriptive study in a medical intensive care unit, mobility was defined as standing, sitting in a chair, or walking. A total of 105 patients who met predefined mobility criteria and their 48 nurses were enrolled. Nurses were interviewed about mobility practices at the ends of shifts. Descriptive statistics summarized nurse and patient characteristics and mobility barriers. Results Patients were deemed ready to begin mobility within a mean (SD) of 41.5 (34.8) hours after oral endotracheal intubation. Two-thirds of nurses reported that they never or rarely got these patients out of bed. Only 12.4% of patients had a clinician’s activity order. Common patient-related barriers were uncooperative behavior (21.9%) and active medical issues (15%), even in patients who met mobility criteria. Nurse-related barriers were concerns for patient safety, specifically falls (14.3% of patients) and harm (9.5%). The environment of care posed very few barriers; nurses rarely mentioned that lack of help (13.3% of patients) or lack of clinician’s activity order (5.7%) impeded mobility. Conclusions Mobility practices were nonexistent in these patients despite patients’ being deemed ready to begin out-of-bed activities. Nurses must be attentive to their unit’s mobility culture to overcome these barriers.

Letter to the Editor: Analysis of stroke patient migration for mechanical thrombectomy and changes in neurointerventional center size in Germany

Aim and methods To analyse nationwide changes in neurointerventional center size of all German hospitals performing mechanical thrombectomy (MT) in stroke patients from 2016 to 2019. Furthermore, we assessed cross-district patient migration for MT for the first time using hospitals’ structured quality reports and German Diagnosis-Related Groups data in 2019. Findings Number of hospitals performing more than 100 MT procedures/year doubled in Germany from 2016 (n = 36) to 2019 (n = 71), and these neurointerventional centers performed 71% of all MT procedures in 2019. The overall increase in MT procedures was largely driven by these high-volume neurointerventional centers with ability to perform MT 24/7 (121% increase as compared with 8% increase in hospitals performing less than 100 MT procedures/year). The highest cross-district patient mobility/transfer of stroke patients for MT was observed in districts adjacent to these high-volume neurointerventional centers with existing neurovascular networks. Conclusion The substantial increase in MT procedures observed in Germany between 2016 and 2019 was almost exclusively delivered by high-volume stroke centers performing more than 100 MT procedures per year in established neurovascular networks. As there is still a reasonable number of districts with low MT rates, further structural improvement including implementation of new or expansion of existing neurovascular networks and regional tailored MT triage concepts is needed.

Modeling Postnatal Hearing Case Finding Within the Italian National Health System

Objective: Despite the successful implementation of newborn hearing screening (NHS), a debate is emerging as to what should be the best means of enabling timely diagnosis and intervention for preschoolers with educationally significant sensorineural or conductive hearing impairment (HI) missed at the time of NHS or occurred after birth. Our study aims to document the proportion and characteristics of HIs diagnosed in children in need of audiologic assessment, in order to outline the optimization areas of an operational framework for auditory surveillance during preschool age.Method: The referral routes and outcomes of 730 audiological assessments performed in 3 years within the framework of the early hearing identification program in Trieste (Italy) were retrospectively analyzed.Results: Among 570/595 completed evaluations, an HI was diagnosed in 114 children, 73.7% of which presenting an exclusively conductive HI due to middle ear effusion. HIs were found in 36/141 who failed NHS, and 60/385 preschoolers who were referred by the primary care pediatrician's surveillance activity during well-child visits, with diagnostic yield of 25.5 and 15.5%, respectively.Conclusion: Ongoing preschool surveillance in primary care setting integrated into a NHS program is feasible to conduct and may effectively identify HIs that missed NHS or were related with a risk factor. New triage instruments and protocols for immediate audiology referral could allow to obtain the diagnosis of educationally significant conductive and sensorineural HIs ahead of the development concern and in the same way reduce patient mobility, thus optimizing timing efficiency and economic impact of the program.

BOOSTing patient mobility and function on a general medical unit by enhancing interprofessional care

Low mobility during hospitalization remains prevalent despite associated negative consequences. The goal of this quality improvement (QI) project was to increase patient mobility and function by adding a physical therapist (PT) to an existing interprofessional care team. A mobility technician assisted treatment group patients with mobility during hospitalization based on physical therapist recommendations. Change in functional status and highest level of mobility achieved by treatment group patients was measured from admission to discharge. Observed hospital length of stay (LOS), LOS index, and 30-day all cause hospital readmission comparisons between treatment group and a comparison group on the same unit, and between cross-sectional comparison groups one year prior were used for Difference in Difference analysis. Bivariate comparisons between the treatment and a cross-sectional comparison group from one year prior showed a statistically significant change in LOS Index. No other bivariate comparisons were statistically significant. Difference in Difference methods showed no statistically significant change in observed LOS, LOS Index, or 30-day readmission. Patients in the treatment group had statistically significant improvements in functional status and highest level of mobility achieved. Physical function and mobility improved for patients who participated in mobility sessions. Mobility technicians may contribute to improved care quality and patient safety in the hospital.