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Electronic health (eHealth) has the potential to improve health outcomes. However, eHealth systems need to match the eHealth literacy needs of users to be equitably adopted. Socially disadvantaged groups have lower access and skills to use technologies and are at risk of being digitally marginalized, leading to the potential widening of health disparities.

This systematic review aims to explore the role of eHealth literacy and user involvement in developing eHealth interventions targeted at socially disadvantaged groups.

A systematic search was conducted across 10 databases for eHealth interventions targeted at older adults, ethnic minority groups, low-income groups, low-literacy groups, and rural communities. The eHealth Literacy Framework was used to examine the eHealth literacy components of reviewed interventions. The results were analyzed using narrative synthesis.

A total of 51 studies reporting on the results of 48 interventions were evaluated. Most studies were targeted at older adults and ethcal advancements and, importantly, improve health equity.
The findings highlight that eHealth literacy is generally overlooked in developing eHealth interventions targeted at socially disadvantaged groups, whereas evidence about the effectiveness of such interventions is limited. To ensure equal access and inclusiveness in the age of eHealth, eHealth literacy of disadvantaged groups needs to be addressed to help avoid a digital divide. This will assist the realization of recent technological advancements and, importantly, improve health equity.
The COVID-19 pandemic has potentially had a negative impact on the mental health and well-being of individuals and families. Anxiety levels and risk factors within particular populations are poorly described.

This study aims to evaluate confidence, understanding, trust, concerns, and levels of anxiety during the COVID-19 pandemic in the general population and assess risk factors for increased anxiety.

We launched a cross-sectional online survey of a large Russian population between April 6 and 15, 2020, using multiple social media platforms. A set of questions targeted confidence, understanding, trust, and concerns in respondents. The State-Trait Anxiety Inventory was used to measure anxiety. Multiple linear regressions were used to model predictors of COVID-19-related anxiety.

The survey was completed by 23,756 out of 53,966 (44.0% response rate) unique visitors; of which, 21,364 were residing in 62 areas of Russia. State Anxiety Scale (S-Anxiety) scores were higher than Trait Anxiety Scale scores acss and increased news consumption, as well as lower than expected trust in government agencies. These findings can help inform the development of key public health messages to help reduce anxiety and raise perceived trust in governmental response to this current national emergency. Using a similar methodology, comparative surveys are ongoing in other national populations.
Among Russian respondents from multiple social media platforms, there was evidence of higher levels of state anxiety associated with recent job loss and increased news consumption, as well as lower than expected trust in government agencies. These findings can help inform the development of key public health messages to help reduce anxiety and raise perceived trust in governmental response to this current national emergency. Using a similar methodology, comparative surveys are ongoing in other national populations.
Pediatric cardiac arrest (PCA), although rare, is associated with high mortality. Deviations from international management guidelines are frequent and associated with poorer outcomes. Different strategies/devices have been developed to improve the management of cardiac arrest, including cognitive aids. However, there is very limited experience on the usefulness of interactive cognitive aids in the format of an app in PCA. Trolox price No app has so far been tested for its usability and effectiveness in guiding the management of PCA.

To develop a new audiovisual interactive app for tablets, named PediAppRREST, to support the management of PCA and to test its usability in a high-fidelity simulation-based setting.

A research team at the University of Padova (Italy) and human-machine interface designers, as well as app developers, from an Italian company (RELab S.r.l.) developed the app between March and October 2019, by applying an iterative design approach (ie, design-prototyping-evaluation iterative loops). In Octobetrial.
The PediAppRREST app received a good usability evaluation and did not appear to increase team leaders' workload. Based on the feedback collected from the participants and the preliminary results of the evaluation of its effects on the management of the simulated scenario, the app has been further refined. The effectiveness of the new version of the app in reducing deviations from guidelines recommendations in the management of PCA and its impact on time to critical actions will be evaluated in an upcoming multicenter simulation-based randomized controlled trial.
Non-variceal acute UGI bleeding (NV-AUGIB) is a frequent indication for transfusion, but the best hemoglobin threshold and target values for transfusion in relation to the patients' performance status are unknown.

To identify threshold and target hemoglobin levels for transfusion favoring survival of patients with NV-AUGIB stratified by ASA score.

Prospective cohort study.

50 hospitals of the Italian National Health Service.

2758 consecutive patients with NV-AUGIB admitted to 50 Italian hospitals from January 1st, 2014 to December 31st, 2015. Five hemoglobin cut-off values were evaluated.

30-days mortality overall 5.4%; ASA 1-2 patients 2.5%; ASA 3-4 patients 10.8%. Mortality was higher when hemoglobin at admission was ≤ 7 g/dL in ASA 1-2 patients, and when it was ≤ 8 g/dL in ASA 3-4 patients. The hemoglobin levels after transfusion favouring survival were ≥ 8 g/dL in ASA 1-2, p <0.0001 and 9-10 g/dL in ASA 3-4 patients; p = 0.0002.

In patients with NV-AUGIB the physical performance status should dictate the transfusion strategy. In ASA 1-2 patients, admission hemoglobin values ≤ 7 g/dL should prompt transfusion, aiming at a target value of 8-9 g/dL; the corresponding figures for ASA 3-4 patients are admission hemoglobin level ≤ 8 g/dL and target value of 9-10 g/dL.
In patients with NV-AUGIB the physical performance status should dictate the transfusion strategy. In ASA 1-2 patients, admission hemoglobin values ≤ 7 g/dL should prompt transfusion, aiming at a target value of 8-9 g/dL; the corresponding figures for ASA 3-4 patients are admission hemoglobin level ≤ 8 g/dL and target value of 9-10 g/dL.
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