ORCID Profile
0000-0002-7628-6434
Current Organisation
University of Adelaide
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Publisher: Elsevier BV
Date: 04-2023
Publisher: AIP Publishing
Date: 2020
DOI: 10.1063/5.0000607
Publisher: Springer Science and Business Media LLC
Date: 28-01-2010
Publisher: SensePublishers
Date: 2016
Publisher: Wiley
Date: 23-03-2018
DOI: 10.1111/WVN.12285
Abstract: There is a growing nursing literature that views missed care as an inevitable consequence of work intensification associated with the rationing of nursing and material resources available to deliver care. Global studies recognize that missed care is now ubiquitous, although studies tend to be conducted in one region, rather than nationwide. This study seeks to understand the Australian context of missed care. To explore self-reported reasons for missed care and to identify the main factors for predicting missed care within a s le of Australian nurses and midwives working in public and private hospitals in New South Wales, Victoria, Tasmania, and South Australia. A nonexperimental, descriptive method using Kalisch's (2006) MISSCARE survey was used. Responses from 1,195 nursing and midwifery staff with differing qualifications, English language skills, and Australian employment settings were analyzed using Rasch analysis and then modeled using the Structural Equation Modeling. The frequency of missed care on the morning shift directly impacted on higher priority care missed during the afternoon shift. Staff skill mix imbalances and perceived inadequacy of staff numbers for the work demands further exacerbated all aspects of care during afternoon shifts. Other major factors associated with missed care were the different clinical work settings and staff to patient ratios. The incidences, types, and reasons behind missed care are a multidimensional construct which can be predicted when known significant factors behind missed care are simultaneously accounted for.
Publisher: SensePublishers
Date: 2016
Publisher: SAGE Publications
Date: 18-08-2020
Abstract: This paper investigates changes in 15-year-old Australian students’ attitudes towards reading mathematics, and science, as well as their relationships with students’ performance in these respective domains over the period of 2000–2018. multigroup confirmatory factor analysis was used to examine the measurement invariance of the construct of attitudes over the cycles of the Programme for International Student Achievement. In addition, structural equation modelling was used to explore mediating effects of attitudes on performance in the three domains. The results indicated that there were significant declines in student performance for all three domains. The levels of enjoyment of the subject domains were relatively low for reading and mathematics but relatively high for science. There were upward trends in the levels of enjoyment of mathematics and science over time, while levels of enjoyment of reading did not change significantly. Levels of instrumental motivation were relatively high and had slight upward trends for both mathematics and science. There were positive and significant relationships between attitudes and student performances.
Publisher: Elsevier BV
Date: 02-2009
DOI: 10.1111/J.1753-6405.2009.00332.X
Abstract: This paper seeks to compare the relationships between social capital and health for rural and urban residents of South Australia. Using data from a South Australian telephone survey of 2,013 respondents (1,402 urban and 611 rural), separate path analyses for the rural and urban s les were used to compare the relationships between six social capital measures, six demographic variables, and mental and physical health (measured by the SF-12). Higher levels of networks, civic participation and cohesion were reported in rural areas. Education and income were consistently linked with social capital variables for both rural and urban participants, with those on higher incomes and with higher educational achievement having higher levels of social capital. However, there were also differences between the rural and urban groups in some of the other predictors of social capital variables. Mental health was better among rural participants, but there was no significant difference for physical health. Social capital was associated with good mental health for both urban and rural participants, but with physical health only for urban participants. Higher levels of social capital were significantly associated with better mental health for both urban and rural participants, but with better physical health only for urban participants. The study found that social capital and its relationship to health differed for participants in rural and urban areas, and that there were also differences between the areas in associations with socioeconomic variables. Policies aiming to strengthen social capital in order to promote health need to be designed for specific settings and particular communities within these.
Publisher: Springer International Publishing
Date: 2022
Publisher: SensePublishers
Date: 2016
Publisher: Springer Netherlands
Date: 08-11-2015
Publisher: Elsevier BV
Date: 06-2013
DOI: 10.1016/J.MATH.2012.10.006
Abstract: Understanding motor imagery of the hands and feet has led to promising new treatments for neurological and chronic pain disorders. We aimed to extend this line of research to the neck with a view to developing the definitive platform study upon which clinical and experimental studies can be based. In a cross-sectional experiment with a convenience s le, volunteers were shown 40 photographs of a model with their head turned to the left or right. Images were presented in random order and orientation. Participants judged the direction of neck rotation. They also completed a left/right hand judgment task. 1361 pain-free participants volunteered. Mean ± standard deviation response time (RT) for making left/right judgments of neck rotation was 1.621 ± 0.501 s. Median accuracy was 92.5%. RT was related to age, gender, and handedness (p < 0.001). That is, RT increased with age, was greater in females than in males and was greater in left-handers than in right-handers. Accuracy reduced with age (p < 0.001), but was unaffected by gender or handedness. Judgments were more accurate when images showed a neck rotated to the right than when they showed a neck rotated to the left (p < 0.001). The magnitude of image rotation affected both response time and accuracy (p < 0.001). In general, the performance parameters established for left/right limb judgments also apply for left/right neck rotation judgments. The current work establishes the definitive normative values against which clinical and experimental groups can be compared and reveals unpredicted effects of the direction neck rotation and the orientation of the image.
Publisher: SensePublishers
Date: 2016
Publisher: SensePublishers
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 15-05-2007
Publisher: SAGE Publications
Date: 08-2002
DOI: 10.1177/1035719X0200200112
Abstract: Evaluation studies often lack sophistication in their statistical analyses, particularly where there are small data sets or missing data. Until recently, the methods used for analysing incomplete data focused on removing the missing values, either by deleting records with incomplete information or by substituting the missing values with estimated mean scores. These methods, though simple to implement, are problematic. However, recent advances in theoretical and computational statistics have led to more flexible techniques with sound statistical bases. These procedures involve multiple imputation (MI), a technique in which the missing values are replaced by m 1 estimated values, where m is typically small (e.g. 3-10). Each of the resultant m data sets is then analysed by standard methods, and the results are combined to produce estimates and confidence intervals that incorporate missing data uncertainty. This paper reviews the key ideas of multiple imputation, discusses the currently available software programs relevant to evaluation studies, and demonstrates their use with data from a study of the adoption and implementation of information technology in Bali, Indonesia.
Publisher: Common Ground Research Networks
Date: 2013
Publisher: SAGE Publications
Date: 20-10-2019
Publisher: Wiley
Date: 20-03-2020
DOI: 10.1111/BJEP.12345
Publisher: Springer Netherlands
Date: 08-11-2014
Publisher: Springer Science and Business Media LLC
Date: 25-09-2015
No related grants have been discovered for I Gusti Darmawan.