Implementation of a hospital-at-home (HAH) unit for hematological patients during the COVID-19 pandemic: safety and feasibility.

BACKGROUND: "Hospital-at-home" (HAH) programs have been shown to optimize resource utilization, shorten hospitalization and prevent nosocomial infection. METHODS: We retrospectively analysed data regarding implementation of an HAH unit for caring patients with hematological malignancies in our center, during the COVID-19 pandemic. RESULTS: Between January and November 2020, 105 patients were treated in the HAH unit for a total of 204 episodes. Nine patients with multiple myeloma (MM) received autologous HSCT (auto-HSCT). Three patients with acute myeloid leukemia (AML) received consolidation therapy, 32 patients underwent clinical and analytical monitoring, 20 were transplant recipients early discharged (5 auto-HSCT and 15 allo-HSCT) and 2 had received CART cells therapy. Azacitidine, bortezomib and carfilzomib were administered at home to 54 patients with AML, myelodysplastic syndrome (MDS) or MM. A median of 17 (IQR 13-19) days of admission per patient and a total of 239 visits to the Hematology day-care hospital were avoided. Overall, 28 patients (14% of all episodes) needed admission to the hospital, 4 of them due to COVID-19. CONCLUSIONS: Implementation of a Hematology HAH unit was feasible and safe, and provided thorough advanced care to a high-risk population. Advanced care-at-home strategies can be crucial during times of COVID-19 to minimize treatment interruptions and reduce the risk of cross-infections.

COVID-19 in hospitalised patients in Spain: a cohort study in Madrid.

Few large series describe the clinical characteristics, outcomes and costs of COVID-19 in Western countries. This cohort reports the first 1255 adult cases receiving anti-COVID-19 treatment at a Spanish hospital (1-24 March 2020). Treatment costs were calculated. A logistic regression model was used to explore risk factors on admission associated with ARDS. A bivariate Cox proportional hazard ratio (HR) model was employed to determine the HR between individual factors and death. We included 1255 patients (median age 65 years; 57.8% male), of which 92.3% required hospitalisation. The prevalence of hypertension, cardiovascular disease and diabetes mellitus (DM) was 45.1%, 31.4% and 19.9%, respectively. Lymphocytopenia (54.8%), elevated alanine aminotransferase (33.0%) and elevated lactate dehydrogenase (58.5%) were frequent. Overall, 36.7% of patients developed ARDS, 10.0% were admitted to an ICU and 21.3% died. The most frequent antiviral combinations were lopinavir/ritonavir plus hydroxychloroquine (44.2%), followed by triple therapy with interferon beta-1b (32.7%). Corticosteroids and tocilizumab were used in 25.3% and 12.9% of patients, respectively. Total cost of anti-COVID-19 agents was €511 825 (€408/patient). By multivariate analysis, risk factors associated with ARDS included older age, obesity, DM, severe hypoxaemia, lymphocytopenia, increased creatine kinase and increased C-reactive protein. In multivariate Cox model, older age (HR 1.07, 95% CI 1.06-1.09), cardiovascular disease (HR 1.34, 95% CI 1.01-1.79), DM (HR 1.45, 95% CI 1.09-1.92), severe hypoxaemia (HR 2.01, 95% CI 1.49-2.72), lymphocytopenia (HR 1.62, 95% CI 1.20-2.20) and increased C-reactive protein (HR 1.04, 95% CI 1.02-1.06) were risk factors for mortality.

Features and Functionalities of Smartphone Apps Related to COVID-19: Systematic Search in App Stores and Content Analysis.

BACKGROUND: Knowledge of the quantity and quality of apps related to coronavirus disease (COVID-19) is lacking. In addition, no directory has been established listing all the apps developed to address the COVID-19 pandemic. OBJECTIVE: The aim of this study was to identify smartphone apps designed to address the COVID-19 pandemic and to analyze their characteristics. METHODS: We performed an observational, cross-sectional, descriptive study of all smartphone apps associated with COVID-19. Between April 27 and May 2, 2020, we searched the App Store (iOS) and Google Play Store (Android) for COVID-19 apps. The search terms used were coronavirus, COVID-19, and SARS-COV-2. The apps were downloaded and evaluated. The variables analyzed were name, platform, country, language, category, cost, update date, size, version, number of downloads, developer, and purpose. Purpose was further classified into the following categories: news, general information, self-diagnosis, contact tracing, notices to contacts, notification of close cases, awareness, helplines, monitoring of clinical parameters, recording of symptoms and treatment, and messaging with health care professionals. RESULTS: We identified 114 apps on the investigated platforms. Of these, 62/114 (54.4%) were on Android and 52/114 (45.6%) were on iOS. Of the 114 apps, 37 (32.5%) were developed in Europe, 32 (28.1%) in Asia, and 30 (26.3%) in North America. The most frequent languages were English (65/114, 57.0%), Spanish (34/114, 29.8%), and Chinese (14/114, 12.3%). The most common categories were health and well-being/fitness apps (41/114, 41.2%) and medicine apps (43/114, 37.7%). Of the 114 apps, 113 (99.1%) were free. The mean time between the date of the analysis and the date of the last update was 11.1 days (SD 11.0). Overall, 95 of the 114 apps (83.3%) were intended for the general population, 99 apps (7.9%) were intended for health professionals, and 3 apps (2.6%) were intended for both. Regarding the type of developer, 64/114 apps (56.1%) were developed by governments; 42/114 (64.1%) were developed by national governments, and 23/114 (35.9%) were developed by regional governments. The apps with the highest number of downloads (100,000+) were developed by governments (P=.13), except for the World Health Organization app (500,000+). The purposes of the apps available in Western languages (107/114, 93.9%) were determined; the most common purposes were general information about COVID-19 (66, 64.0%), COVID-19 news (53, 51.0%), recording of symptoms (53, 51.0%), and contact tracing (51, 47.7%). More than one purpose was identified for 99/107 apps (92.5%). CONCLUSIONS: This paper offers a comprehensive and unique review of all available COVID-19 apps. Governments have adopted these tools during the pandemic, and more than half of the apps were developed by government agencies. The most common purposes of the apps are providing information on the numbers of infected, recovered, and deceased patients, recording of symptoms, and contact tracing.