Bakerottesen1583

P=.75) or completed (U=39494.0; z=-0.29; P=.77). The myCompass 2 program was not found to be efficacious over time for symptoms of depression (F

=1.16; P=.33) or anxiety (F

=0.12; P=.98). However, planned contrasts suggested that myCompass 2 may have been effective for participants with elevated generalized anxiety disorder symptoms (F

=3.50; P=.01).

This brief internet-based EFI did not increase the uptake of or adherence to an existing internet-based program for depression and anxiety. Individuals' motivation to initiate and complete internet-based self-guided interventions is complex and remains a significant challenge for self-guided interventions.

Australian New Zealand Clinical Trials Registry ACTRN12618001565235; https//www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375839.

Australian New Zealand Clinical Trials Registry ACTRN12618001565235; https//www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375839.

Usability tests can be either formative (where the aim is to detect usability problems) or summative (where the aim is to benchmark usability). There are ample formative methods that consider user characteristics and contexts (ie, cognitive walkthroughs, interviews, and verbal protocols). This is especially valuable for eHealth applications, as health conditions can influence user-system interactions. However, most summative usability tests do not consider eHealth-specific factors that could potentially affect the usability of a system. One of the reasons for this is the lack of fine-grained frameworks or models of usability factors that are unique to the eHealth domain.

In this study, we aim to develop an ontology of usability problems, specifically for eHealth applications, with patients as primary end users.

We analyzed 8 data sets containing the results of 8 formative usability tests for eHealth applications. These data sets contained 400 usability problems that could be used for analysis. Both indubset of the factors that emerged from our study and are therefore not fully suited for summative evaluations of eHealth applications. Our findings support the development of new usability benchmarking tools for the eHealth domain.

Our ontology provides a detailed overview of the usability factors for eHealth applications. Current usability benchmarking instruments include only a subset of the factors that emerged from our study and are therefore not fully suited for summative evaluations of eHealth applications. Our findings support the development of new usability benchmarking tools for the eHealth domain.

Poor treatment adherence in patients with chronic obstructive pulmonary disease (COPD) or asthma is a global public health concern with severe consequences in terms of patient health and societal costs. A potentially promising tool for addressing poor compliance is eHealth.

This review investigates the effects of eHealth interventions on medication adherence in patients with COPD or asthma.

A systematic literature search was conducted in the databases of Cochrane Library, PsycINFO, PubMed, and Embase for studies with publication dates between January 1, 2000, and October 29, 2020. We selected randomized controlled trials targeting adult patients with COPD or asthma, which evaluated the effectiveness of an eHealth intervention on medication adherence. The risk of bias in the included studies was examined using the Cochrane Collaboration's risk of bias tool. The results were narratively reviewed.

In total, six studies focusing on COPD and seven focusing on asthma were analyzed. Interventions were mostly of eHealth interventions in improving treatment adherence for asthma and COPD are presumably related to the type, context, and intensity of the interventions, as well as to differences in the operationalization and measurement of adherence outcomes. Much remains to be learned about the potential of eHealth to optimize treatment adherence in COPD and asthma.

The mixed results on the effectiveness of eHealth interventions in improving treatment adherence for asthma and COPD are presumably related to the type, context, and intensity of the interventions, as well as to differences in the operationalization and measurement of adherence outcomes. Much remains to be learned about the potential of eHealth to optimize treatment adherence in COPD and asthma.

The digital revolution is rapidly transforming health care and clinical teaching and learning. Relative to other medical fields, the interdisciplinary fields of speech-language pathology (SLP), phoniatrics, and otolaryngology have been slower to take up digital tools for therapeutic, teaching, and learning purposes-a process that was recently expedited by the COVID-19 pandemic. Although many current teaching and learning tools have restricted or institution-only access, there are many openly accessible tools that have gone largely unexplored. To find, use, and evaluate such resources, it is important to be familiar with the structures, concepts, and formats of existing digital tools.

This descriptive study aims to investigate digital learning tools and resources in SLP, phoniatrics, and otolaryngology. Differences in content, learning goals, and digital formats between academic-level learners and clinical-professional learners are explored.

A systematic search of generic and academic search engines (eg, the actual use of such tools in practice and students' and professionals' attitudes to better improve upon such tools and incorporate them into current and future learning milieus.

This investigation provides initial insights into openly accessible tools across SLP, phoniatrics, and otolaryngology and their organizing structures. Digital tools in these fields addressed diverse content, although the tools for academic-level learners were greater in number, targeted higher-level learning goals, and had more interactive formats than those for clinical-professional learners. The crucial next steps include investigating the actual use of such tools in practice and students' and professionals' attitudes to better improve upon such tools and incorporate them into current and future learning milieus.

The COVID-19 pandemic is straining health systems and disrupting the delivery of health care services, in particular, for older adults and people with chronic conditions, who are particularly vulnerable to COVID-19 infection.

The aim of this project was to support primary health care provision with a digital health platform that will allow primary care physicians and nurses to remotely manage the care of patients with chronic diseases or COVID-19 infections.

For the rapid design and implementation of a digital platform to support primary health care services, we followed the Design Science implementation framework (1) problem identification and motivation, (2) definition of the objectives aligned with goal-oriented care, (3) artefact design and development based on Scrum, (4) solution demonstration, (5) evaluation, and (6) communication.

The digital platform was developed for the specific objectives of the project and successfully piloted in 3 primary health care centers in the Lisbon Health Region. Health professionals (n=53) were able to remotely manage their first patients safely and thoroughly, with high degrees of satisfaction.

Although still in the first steps of implementation, its positive uptake, by both health care providers and patients, is a promising result. There were several limitations including the low number of participating health care units. Further research is planned to deploy the platform to many more primary health care centers and evaluate the impact on patient's health related outcomes.

Although still in the first steps of implementation, its positive uptake, by both health care providers and patients, is a promising result. There were several limitations including the low number of participating health care units. Navitoclax in vivo Further research is planned to deploy the platform to many more primary health care centers and evaluate the impact on patient's health related outcomes.

The COVID-19 pandemic has led to a rapid increase in virtual care use across the globe. Many health care systems have responded by creating virtual care billing codes that allow physicians to see their patients over telephone or video. This rapid liberalization of billing requirements, both in Canada and other countries, has led to concerns about potential abuse, but empirical data are limited.

The objectives of this study were to examine whether there were substantial changes in physicians' ambulatory visit volumes coinciding with the liberalization of virtual care billing rules and to describe the characteristics of physicians who significantly increased their ambulatory visit volumes during this period. We also sought to describe the relationship between visit volume changes in 2020 and the volumes of virtual care use among individual physicians and across specialties.

We conducted a population-based, retrospective cohort study using health administrative data from the Ontario Health Insurance Plan, uring evidence that relaxation of billing requirements early in the COVID-19 pandemic in Ontario were not associated with widespread and aberrant billing behaviors. Furthermore, the strong relationship between the ability to maintain practice volumes and the use of virtual care suggests that the introduction of virtual care allowed for continued access to care for patients.

The COVID-19 outbreak required prompt actions by health authorities around the world, in response to a novel threat. With enormous amounts of information originating in sources with uncertain degree of validation and accuracy, it is essential to provide executive level decision makers with the most actionable, pertinent and updated data analysis to enable them to adapt their strategy swiftly and competently.

We report here the origination of a COVID-19 dedicated response in the Israel Defense Force (IDF) with the assembly of an operational Data Center for the Campaign against Coronavirus (ID3C).

Spearheaded by directors with clinical, operational and data analytics orientation a multidisciplinary team utilized existing and newly developed platforms to collect and analyze large amounts of information for on an individual-level in the context of SARS-CoV2 contraction and infection.

Nearly 300,000 responses for daily questionnaires were recorded and were merged with other datasets to form unified data lake. By using basic as well as advanced analytic tools ranging from simple aggregation and display of trends to data-science application we provided commanders and clinicians with access to trusted, accurate and personalized information and tools that were designed to foster operational changes and mitigate the propagation of the pandemic. The developed tools aided in the in the identification of high-risk individuals for severe disease, resulted in a 30% decline of their attendance to their units. Moreover, the Corona lab exams queue was optimized by using a predictive model resulted in a high true positive rate of 20%, which is more than twice as high as the baseline rate (2.28 with 95% CI of 1.63-3.19).

In times of ambiguity and uncertainty mixed with unprecedented flux of information, health organizations may find multidisciplinary teams working to provide intelligence from diverse and rich data, a key factor in providing executives relevant and actionable support for decision making.