Aims: This study explored the perceptions of clinical nurses about their research knowledge and experiences to highlight any gaps in nurse education in supporting research activities in healthcare organisations.
Background: Nurses' research activities have been encouraged by moving hospital-based nurse education into higher education institutions whereby there is a stronger emphasis on teaching and developing nursing research at both undergraduate and post graduate levels. They were further encouraged by the introduction of advanced nurse practitioner roles, in the hope to increase opportunities for research participation. Whilst nurses' research activities have been explored in many countries, nurses in Singapore where there is a strong emphasis on evidence-based practice have not been investigated.
Methods: A mixed-methods exploratory descriptive design, using a questionnaire based on open and closed questions was employed to obtain the views of clinical nurses about their capacity and organisational support in conducting research. The questionnaires were distributed to convenient samples who attended one of the 4 research seminars held on separate occasions between July and August 2011 in Singapore.
Results: A total of 146 nurses were recruited. Whilst nurses demonstrated strong enthusiasm in conducting research, this characteristic feature was not adequate for them to embrace a research culture in organisations. Active participation as co-investigators was not possible in healthcare organisations where skewed distribution of resources towards medical and nurse researchers was perceived.
Conclusions: The results suggest a need for a significant shift in focus on educational training from imparting research contents to providing opportunities to experience the research process. Organisational support in terms of protected time and financial support ought to be in place for nursing research experience. The findings also demonstrated that in places where organisational support was available, awareness of research opportunities such as educational and organisational support needed to be strengthened. This in turn would enable more nurses particularly those who provide direct patient care to conduct research within the context of the competing nursing practice demands.
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http://dx.doi.org/10.1016/j.nedt.2012.09.006 | DOI Listing |
J Cell Physiol
January 2025
Department of Biosciences & Bioengineering, IIT Bombay, Mumbai, India.
In addition to proteins such as collagen (Col) and fibronectin, the extracellular matrix (ECM) is enriched with bulky proteoglycan molecules such as hyaluronic acid (HA). However, how ECM proteins and proteoglycans collectively regulate cellular processes has not been adequately explored. Here, we address this question by studying cytoskeletal and focal adhesion organization and dynamics on cells cultured on polyacrylamide hydrogels functionalized with Col, HA and a combination of Col and HA (Col/HA).
View Article and Find Full Text PDFEur Stroke J
January 2025
Stroke and Elderly Care Medicine, University of Edinburgh, Edinburgh, UK.
Background: National stroke clinical quality registries/audits support improvements in stroke care. In a 2016 systematic review, 28 registries were identified. Since 2016 there have been important advances in stroke care, including the development of thrombectomy services.
View Article and Find Full Text PDFSpine (Phila Pa 1976)
January 2025
Department of Orthopaedics, Xijing Hospital, Air Force Medical University, Xi'an China.
Study Design/setting: A retrospective cohort study.
Objective: To compare long-term outcomes and complications of cervical disc replacement (CDR) and anterior cervical discectomy and fusion (ACDF) with cage-plate constructs (CPC) and stand-alone (SA) cages in treating degenerative cervical spondylosis.
Summary Of Background Data: ACDF is commonly used for cervical radiculopathy but may increase adjacent segment degeneration (ASD).
Background: The cotton jassid, Amrasca biguttula, a dangerous and polyphagous pest, has recently invaded the Middle East, Africa and South America, raising concerns about the future of cotton and other food crops including okra, eggplant and potato. However, its potential distribution remains largely unknown, posing a challenge in developing effective phytosanitary strategies. We used an ensemble model of six machine-learning algorithms including random forest, maxent, support vector machines, classification and regression tree, generalized linear model and boosted regression trees to forecast the potential distribution of A.
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