Insights From a New National Academies Report on Caregiving.

This Viewpoint details the findings of a report from the National Academies of Sciences, Engineering, and Medicine on family caregiving among those in science, technology, engineering, mathematics, and medicine.

Evaluating the performance of Tunisian higher Institutes of Technological Studies (ISETs) using a stochastic frontier analysis.

Benefiting from low repetition and dropout rates, as well as their excellent employability rate of their students, the Higher Institutes of Technological Studies (ISETs) have acquired a strategic position in the Tunisian higher education system. This paper aims to use the Stochastic Frontier Analysis (SFA) method to measure the efficiency of Tunisian Higher Institutes of Technological Studies (ISETs) and to determine the factors that cause performance differences. The results indicate that ISETs appear well managed, although some of them warrant a more detailed analysis (below-average efficiency). Also, it was found that the ISETs situated in the most industrialized part of the country, the Central-East, record highest scores of efficiency, while those in the South-East show more homogeneous efficiency. The results underscore the importance of focusing support and improvement efforts on ISETs located in less developed regions or those with lower efficiency levels. Moreover, the negative relationship between the age of institutions and their efficiency suggests that reforms to institutional practices may be necessary for older establishments. Finally, institutes that are located in one of the main cities will not necessarily be more efficient than the others. The findings presented in this paper have targeted and practical implications for the development of the ISET network in Tunisia.

Patient engagement in a Canadian health research funding institute: implementation and impact.

BACKGROUND: Patient engagement (PE) or involvement in research is when patient partners are integrated onto teams and initiatives (not participants in research). A number of health research funding organisations have PE frameworks or rubrics but we are unaware of them applying and reporting on their own internal PE efforts. We describe our work at the Canadian Institutes of Health Research's Institute of Musculoskeletal Health and Arthritis (CIHR IMHA) to implement, evaluate and understand the impact of its internal PE strategy. METHODS: A co-production model was used involving patient partners, a PE specialist and staff from IMHA. A logic model was co-developed to guide implementing and evaluating IMHA's PE strategy. Some of evaluating the PE strategy and understanding its impact was a collaboration between the Public and Patient Engagement Collaborative (McMaster University) and IMHA. RESULTS: IMHA convened a PE Research Ambassador (PERA) group which co-led this work with the support of a PE specialist. In doing so, PERA had a number of meetings since 2020, set its own priorities and co-produced a number of outputs (video, publications, webinars, blog and modules called the How-to Guide for PE in Research). This work to evaluate and measure impacts of IMHA's PE strategy revealed positive results, for example, on PERA members, Institute Advisory Board members and staff, as well as beyond the institute based on uptake and use of the modules. Areas for improvement are mainly related to increasing the diversity of PERA and to improving accessibility of the PE outputs (more languages and formats). CONCLUSIONS: Implementing a PE strategy within CIHR IMHA resulted in several PE activities and outputs with impacts within and beyond the institute. We provide templates and outputs related to this work that may inform the efforts of other health research funding organisations. We encourage health research funders to move beyond encouraging or requiring PE in funded projects to fully 'walk the talk' of PE by implementing and evaluating their own PE strategies.

EMBL's European Bioinformatics Institute (EMBL-EBI) in 2023.

The European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI) is one of the world's leading sources of public biomolecular data. Based at the Wellcome Genome Campus in Hinxton, UK, EMBL-EBI is one of six sites of the European Molecular Biology Laboratory (EMBL), Europe's only intergovernmental life sciences organisation. This overview summarises the latest developments in the services provided by EMBL-EBI data resources to scientific communities globally. These developments aim to ensure EMBL-EBI resources meet the current and future needs of these scientific communities, accelerating the impact of open biological data for all.