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This study aimed to gain a better understanding of nursing/midwifery students' perspectives on a pedagogy of caring and online learning during the COVID-19 pandemic. In addition, it aimed to determine if the COVID-19 pandemic impacted students' perceptions and experience of online learning and students' desire to enter the nursing/midwifery workforce.
Mixed methods.
A multi-centre cross-sectional survey of Australian nursing and midwifery students was undertaken to explore students’ experience of learning during the COVID-19 pandemic.
There are several key findings from this study that may be relevant for the future delivery of undergraduate health education, students transitioning to practice and healthcare workforce retention. The study found that although students were somewhat satisfied with online learning during COVID-19, students reported significant issues with knowledge/skill acquisition and barriers to the learning process. The students reported feeling less prepared for practice and identified how clinical staff were unable to provide additional guidance and support due to increased workloads and stress. The textual responses of participants highlighted that connection/disconnection, empathy and engagement/disengagement had an impact on learning during COVID-19.
Connection, engagement and isolation were key factors that impacted nursing students’ online learning experiences. In addition, graduates entering the workforce felt less prepared for entry into practice due to changes in education delivery during COVID-19 that they perceived impacted their level of clinical skills, confidence and ability to practice as new graduate nurses/midwives.
Not applicable.
Attention must be given to the transition of new graduate nurses and midwives whose education was impacted by pandemic restrictions, to support their professional career development and to ensure retention of future healthcare workforce. Connection, engagement and isolation were key factors that impacted nursing students' online learning experiences. Educators should consider how connection and engagement can be actively embedded in the online learning environment.
Children and youth who are uninsured or underinsured in Canada and the USA have limited options where they can receive healthcare. In both countries, community health centres (CHCs) have been established as a solution to provide quality care to children without adequate insurance, including those who are newcomers or refugees. However, little is known about how well these models deliver paediatric care. Cross-country analysis provides an important viewpoint to identify areas of success and growth. The purpose of this scoping review is to compare quality of care for uninsured and underinsured children through CHCs in the USA and Canada.
This scoping review follows the methodological guidelines from the Joanna Briggs Institute Evidence synthesis. The protocol has been registered with the Open Science Framework Registries and can be accessed online. A search will be conducted in electronic databases of peer-reviewed literature (Ovid MEDLINE ALL, CINAHL Complete via EbscoHost, Scopus; Health Business Elite via EbscoHost and Sociological Abstracts via ProQuest) as well as the grey literature. Two reviewers will review all titles and abstracts for inclusion in full-text review. Studies that meet inclusion criteria will be included in full-text review. Data will be extracted into Covidence, using the Donabedian model as a conceptual framework. Findings will be synthesised in a narrative format.
As this study only uses publicly available data, ethics approval is not required. Findings will be shared at national and international conferences and published in a peer-reviewed journal. In addition, findings will be prepared into a policy brief or white paper to be shared with relevant policy stakeholders to advocate for a better model of care for marginalised children and youth.
by Jordi Olivella Nadal, Gema Calleja Sanz, Ignacio Fuentes Ribas, Pedro Rodriguez Mondelo
In most countries, a government agency or collaborating organization gathers information on occupational accidents. Comparisons based on a single factor such as autonomous community, activity sector or others, often leads to contradictory conclusions. The use of this information for comparison is not immediate because the different characteristics considered give place to different possible comparisons. The elaboration of a single baseline for each set of characteristics is addressed. The method proposed comes from the data available in Spain but could be applied to other cases. The method consists of: (1) selecting factors–those selected are age, sex, autonomous community and activity; (2) the generation of a synthetic population based on data from a survey and general proportions by applying the Optimal Representative Sample Weighting (rsw); and (3) the prediction of the accidents ratio for each set of characteristic by using a XGBoost decision trees ensemble. The results confirm the appropriateness of the method.
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