scispace - formally typeset
Search or ask a question
Institution

University of South Australia

EducationAdelaide, South Australia, Australia
About: University of South Australia is a education organization based out in Adelaide, South Australia, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 10086 authors who have published 32587 publications receiving 913683 citations. The organization is also known as: The University of South Australia & UniSA.


Papers
More filters
Journal ArticleDOI
TL;DR: Clinical nurses' and midwives' perceptions and understandings of computerized information systems in everyday practice were explored, and clinicians' experiences of using CPIS to manage clinical information were predominantly negative and mostly critical of CPIS.
Abstract: Background. Computerized Patient Information Systems (CPIS) are used increasingly in health care, yet few studies have asked clinicians to describe their experiences of using these systems and what they mean to their practice and patient care. Aims and objectives. The aim of this study was to explore clinical nurses’ and midwives’ perceptions and understandings of computerized information systems in everyday practice. The objective was to provide a detailed and faithful account of clinicians’ experiences of using such systems. Design. A qualitative design was used, based upon interpretive phenomenology. Methods. A total of 13 focus groups involving 53 practitioners was conducted in hospitals across five Australian states with nurses and midwives from a wide range of practice settings. The participants ranged from Level 1 RNs to Clinical Nurse Consultants and nurses with an IT project management role. Results. This study focuses specifically on clinicians’ experiences of using CPIS to manage clinical information. Clinicians’ experiences were characterized by digital disappointment rather than electronic efficiencies. Clinicians reported generally that computerization had neither enhanced their clinical practice nor patient care, nor had it improved patient outcomes. Conclusions. Participants’ experiences were predominantly negative and mostly critical of CPIS and their: perceived inability to capture ‘real nursing’, difficulty in use, incompatibilities, non-responsiveness and irrelevance to patient care and meaningful clinical outcomes. Relevance to clinical practice. Technological ‘solutions’ to health care problems are endlessly seductive and easily entrance policy and decision makers. Computerization will continue to impact upon clinical practice and cannot be wished away. Today's computerized systems may have been developed with scant regard for clinician end-users. A crucial issue facing everyone in health informatics is how point-of-care systems can be developed in ways that involve clinicians meaningfully and which recognize and respond to the complexity and subtlety of the world of nursing and midwifery practice.

172 citations

Journal ArticleDOI
TL;DR: It is imperative to remain mindful of any protective effects that are likely to come from the cumulative and synergic effect of nutrients that comprise the whole-diet, rather than from the effects of individual nutrients or single foods.
Abstract: Background: Major depressive disorder is a common, chronic condition that imposes a substantial burden of disability globally. As current treatments are estimated to address only one-third of the disease burden of depressive disorders, there is a need for new approaches to prevent depression or to delay its progression. While in its early stages, converging evidence from laboratory, population research, and clinical trials now suggests that dietary patterns and specific dietary factors may influence the risk for depression. However, largely as a result of the recency of the nutritional psychiatry field, there are currently no dietary recommendations for depression.Aim: The aim of this paper is to provide a set of practical dietary recommendations for the prevention of depression, based on the best available current evidence, in order to inform public health and clinical recommendations.Results: Five key dietary recommendations for the prevention of depression emerged from current published evidence. These...

172 citations

Journal ArticleDOI
TL;DR: This model allows the identification of previously undetected loci affecting TUE on chromosome 11, providing insights into the early responses of rice to salinity, in particular into the effects of salinity on plant growth and transpiration.
Abstract: High-throughput phenotyping produces multiple measurements over time, which require new methods of analyses that are flexible in their quantification of plant growth and transpiration, yet are computationally economic. Here we develop such analyses and apply this to a rice population genotyped with a 700k SNP high-density array. Two rice diversity panels, indica and aus, containing a total of 553 genotypes, are phenotyped in waterlogged conditions. Using cubic smoothing splines to estimate plant growth and transpiration, we identify four time intervals that characterize the early responses of rice to salinity. Relative growth rate, transpiration rate and transpiration use efficiency (TUE) are analysed using a new association model that takes into account the interaction between treatment (control and salt) and genetic marker. This model allows the identification of previously undetected loci affecting TUE on chromosome 11, providing insights into the early responses of rice to salinity, in particular into the effects of salinity on plant growth and transpiration.

172 citations

Journal ArticleDOI
TL;DR: A critical and systematic review of the effects of heat waves and mechanisms to mitigate their effects is presented in this article, where the authors provide useful inputs to both policy making and industry practice on improving the resilience of urban and regional areas in the event of extreme weather conditions such as heat waves.

171 citations

Journal ArticleDOI
17 Jul 2013-PLOS ONE
TL;DR: It is concluded that social media release of a research article in the clinical pain sciences increases the number of people who view or download that article, but conventional social media metrics are unrelated to the effect.
Abstract: A barrier to dissemination of research is that it depends on the end-user searching for or ‘pulling’ relevant knowledge from the literature base. Social media instead ‘pushes’ relevant knowledge straight to the end-user, via blogs and sites such as Facebook and Twitter. That social media is very effective at improving dissemination seems well accepted, but, remarkably, there is no evidence to support this claim. We aimed to quantify the impact of social media release on views and downloads of articles in the clinical pain sciences. Sixteen PLOS ONE articles were blogged and released via Facebook, Twitter, LinkedIn and ResearchBlogging.org on one of two randomly selected dates. The other date served as a control. The primary outcomes were the rate of HTML views and PDF downloads of the article, over a seven-day period. The critical result was an increase in both outcome variables in the week after the blog post and social media release. The mean ± SD rate of HTML views in the week after the social media release was 18±18 per day, whereas the rate during the other three weeks was no more than 6±3 per day. The mean ± SD rate of PDF downloads in the week after the social media release was 4±4 per day, whereas the rate during the other three weeks was less than 1±1 per day (p 0.3 for all). We conclude that social media release of a research article in the clinical pain sciences increases the number of people who view or download that article, but conventional social media metrics are unrelated to the effect.

171 citations


Authors

Showing all 10298 results

NameH-indexPapersCitations
Andrew P. McMahon16241590650
Timothy P. Hughes14583191357
Jeremy K. Nicholson14177380275
Peng Shi137137165195
Daniel Thomas13484684224
Jian Li133286387131
Matthew Jones125116196909
Ulrich S. Schubert122222985604
Elaine Holmes11956058975
Arne Astrup11486668877
Richard Gray10980878580
John B. Furness10359737668
Thomas J. Jentsch10123832810
Ben W.J. Mol101148547733
John C. Lindon9948844063
Network Information
Related Institutions (5)
Monash University
100.6K papers, 3M citations

97% related

University of Queensland
155.7K papers, 5.7M citations

96% related

University of Sydney
187.3K papers, 6.1M citations

94% related

University of New South Wales
153.6K papers, 4.8M citations

94% related

University of Melbourne
174.8K papers, 6.3M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202393
2022306
20212,326
20202,175
20192,151
20182,045