Disparities in the Allocation of Inpatient Physical and Occupational Therapy Services for Patients with COVID-19

Background Survivors of the novel coronavirus (COVID-19) experience significant morbidity with reduced physical function and impairments in activities of daily living. The use of in-hospital rehabilitation therapy may reduce long-term impairments. Objective To determine the frequency of therapy referral and treatment amongst hospitalized COVID-19 patients, assess for disparities in referral and receipt of therapy, and identify potentially modifiable factors contributing to disparities in therapy allocation. Design, Setting and Participants Retrospective cohort study using data collected from the University of Colorado Health Data Compass data warehouse assessing therapy referral rates and estimated delivery based on available administrative billing. Measurements Multivariable logistic regression was used to determine the association between sex and/or underrepresented minority race with therapy referral or delivery. Results Amongst 6239 COVID-19-related hospitalization, a therapy referral was present in 3952 patients (51.9%). Hispanic ethnicity was independently associated with lower odds of receipt of therapy referral (adjusted OR [aOR]: 0.78, 95% confidence interval [CI]: 0.67–0.93, p = .001). Advanced age (aOR: 1.53, 95% CI: 1.46–1.62, p \u3c .001), greater COVID illness severity (aOR for intensive care unit admission: 1.63, 95% CI: 1.37–1.94, p \u3c .01) and hospital stay (aOR: 1.14, 95% CI: 1.12–1.15, p \u3c .01) were positively associated with referral. Conclusions and Relevance In a cohort of patients hospitalized for COVID-19 across a multicenter healthcare system, we found that referral rates and delivery of physical therapy and/or occupational therapy sessions were significantly reduced for patients of Hispanic identity compared with patients of non-Hispanic, Caucasian identity after adjustment for potential confounding by available demographic and illness severity variables

Method for classifying EUSeaMap according to the new version of EUNIS, HELCOM HUB and the Mediterranean habitat types

The need for maps of the seabed has become increasingly urgent in recent years for a wide range of reasons and uses, including reporting on the state of the marine environment to implement EU policies such as the MSFD. In ten years, the EMODnet Seabed Habitats initiative has produced maps for all European marine regions, where input data allowed, the resultant seabed habitat maps are known collectively as ”EUSeaMap”. With products such as EUSeaMap, it is assumed that mapping the broad habitat types defined in seabed habitat classifications (e.g. EUNIS) provides appropriate proxies for the occurrence of the species or communities of species that occupy them. In addition to being released in EUNIS 2007-2011 and the MSFD Broad Benthic Habitat Types, the next version of EUSeaMap (expected in September 2021) will be released in three classifications, namely EUNIS 2019 (the new version of EUNIS), and the regional classifications HELCOM HUB and the Mediterranean habitat types. This report proposes crosswalks between EUSeaMap modelled broad habitat types and the three classifications, and briefly discusses the opportunities/challenges entailed by the crosswalks. Our conclusion is that no major issue is expected for the translation of EUSeaMap into these classifications. We also argue that in EUNIS 2019 there are gaps at biotope levels, particularly in the Black Sea and the Arctic, and that measures should be taken to address these gaps

EUSeaMap 2019, A European broad-scale seabed habitat map, technical report

EUSeaMap 2019 is the third iteration of EUSeaMap. All versions have been produced as part of the EMODnet Seabed Habitats project, which is one of several thematic lots in EMODnet. The project has brought together a European consortium of specialists in benthic ecology and seabed habitat mapping. The partners first collaborated in EMODnet phase 1 (2009-2012) to deliver a prototype predictive seabed habitat map in four trial basins (Greater North Sea, Celtic Seas, Baltic, Western Mediterranean). This predictive model was named EUSeaMap (Cameron and Askew, 2011). In EMODnet Phase 2 (2012-2016), the consortium extended EUSeaMap coverage to all European regions (Populus et al, 2017). In the new version, the spatial coverage was extended further North in order to include the Barents Sea. The spatial detail was substantially improved. This was made possible by improvements to the physical predictor variables created by the other EMODnet lots which are the input data to the EUSeaMap model. A substantial revision of the map creation process has also been carried out in order to make it more reproducible. This document describes all these modifications which have led to the elaboration of EUSeaMap 2019