Institution
Princess Margaret Hospital for Children
Healthcare•Perth, Western Australia, Australia•
About: Princess Margaret Hospital for Children is a healthcare organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 1501 authors who have published 2068 publications receiving 75773 citations. The organization is also known as: Perth Children's Hospital & PMH.
Papers published on a yearly basis
Papers
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TL;DR: An updated systematic review of predictive models for 28-day or 30-day unplanned hospital readmissions found inconsistent performance across the included unique 73 risk predictive models.
Abstract: Objective To update previous systematic review of predictive models for 28-day or 30-day unplanned hospital readmissions.
Design Systematic review.
Setting/data source CINAHL, Embase, MEDLINE from 2011 to 2015.
Participants All studies of 28-day and 30-day readmission predictive model.
Outcome measures Characteristics of the included studies, performance of the identified predictive models and key predictive variables included in the models.
Results Of 7310 records, a total of 60 studies with 73 unique predictive models met the inclusion criteria. The utilisation outcome of the models included all-cause readmissions, cardiovascular disease including pneumonia, medical conditions, surgical conditions and mental health condition-related readmissions. Overall, a wide-range C-statistic was reported in 56/60 studies (0.21–0.88). 11 of 13 predictive models for medical condition-related readmissions were found to have consistent moderate discrimination ability (C-statistic ≥0.7). Only two models were designed for the potentially preventable/avoidable readmissions and had C-statistic >0.8. The variables ‘comorbidities’, ‘length of stay’ and ‘previous admissions’ were frequently cited across 73 models. The variables ‘laboratory tests’ and ‘medication’ had more weight in the models for cardiovascular disease and medical condition-related readmissions.
Conclusions The predictive models which focused on general medical condition-related unplanned hospital readmissions reported moderate discriminative ability. Two models for potentially preventable/avoidable readmissions showed high discriminative ability. This updated systematic review, however, found inconsistent performance across the included unique 73 risk predictive models. It is critical to define clearly the utilisation outcomes and the type of accessible data source before the selection of the predictive model. Rigorous validation of the predictive models with moderate-to-high discriminative ability is essential, especially for the two models for the potentially preventable/avoidable readmissions. Given the limited available evidence, the development of a predictive model specifically for paediatric 28-day all-cause, unplanned hospital readmissions is a high priority.
205 citations
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203 citations
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TL;DR: Assessment of whether emergency department overcrowding was reduced after the introduction of the 4‐hour rule in Western Australia and whether any changes in overcrowding were associated with significant changes in patient mortality rates.
Abstract: OBJECTIVE To assess whether emergency department (ED) overcrowding was reduced after the introduction of the 4-hour rule in Western Australia and whether any changes in overcrowding were associated with significant changes in patient mortality rates. DESIGN, SETTING AND PATIENTS Quasi-experimental intervention study using dependent pretest and post-test samples. Hospital and patient data were obtained for three tertiary hospitals and three secondary hospitals in Perth, WA, for 2007-08 to 2010-11. MAIN OUTCOME MEASURES Mortality rates; overcrowding rates. RESULTS No change was shown in mortality from 2007-08 to 2010-11 for the secondary hospitals and from 2007-08 to 2009-10 for the tertiary hospitals. ED overcrowding (as measured by 8-hour access block) at the tertiary hospitals improved dramatically, falling from above 40% in July 2009 to around 10% by early 2011, and presentations increased by 10%, while the mortality rate fell significantly (by 13%; 95% CI, 7%-18%; P < 0.001) from 1.12% to 0.98% between 2009-10 and 2010-11. Monthly mortality rates decreased significantly in two of the three tertiary hospitals concurrently with decreased access block and an increased proportion of patients admitted in under 4 hours. CONCLUSION Introduction of the 4-hour rule in WA led to a reversal of overcrowding in three tertiary hospital EDs that coincided with a significant fall in the overall mortality rate in tertiary hospital data combined and in two of the three individual hospitals. No reduction in adjusted mortality rates was shown in three secondary hospitals where the improvement in overcrowding was minimal.
202 citations
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Imperial College London1, National Institutes of Health2, Boston Children's Hospital3, Broad Institute4, QIMR Berghofer Medical Research Institute5, St George's, University of London6, Monash University7, Princess Alexandra Hospital8, University of Melbourne9, University of Helsinki10, Washington University in St. Louis11, Uppsala University12, University of Tampere13, Finnish Institute of Occupational Health14, Princess Margaret Hospital for Children15, University of Sydney16, University of Oulu17, University of Turku18, University of Western Australia19, Turku University Hospital20, University of Eastern Finland21, Boston University22, Harvard University23
TL;DR: In this paper, the identification of genetic risk factors is limited by availability of suitable studies, and the authors propose a method to identify the genetic component of Asthma with a strong genetic component.
Abstract: Rationale: Asthma has substantial morbidity and mortality and a strong genetic component, but identification of genetic risk factors is limited by availability of suitable studies. Objectives: To t ...
201 citations
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TL;DR: The global population of children suffering from impetigo at any one time is estimated to be in excess of 162 million, predominantly in tropical, resource-poor contexts.
Abstract: Objective We conducted a comprehensive, systematic review of the global childhood population prevalence of impetigo and the broader condition pyoderma. Methods PubMed was systematically searched for impetigo or pyoderma studies published between January 1 1970 and September 30 2014. Two independent reviewers extracted data from each relevant article on the prevalence of impetigo. Findings Sixty-six articles relating to 89 studies met our inclusion criteria. Based on population surveillance, 82 studies included data on 145,028 children assessed for pyoderma or impetigo. Median childhood prevalence was 12·3% (IQR 4·2-19·4%). Fifty-eight (65%) studies were from low or low-middle income countries, where median childhood prevalences were 8·4% (IQR 4·2-16·1%) and 14·5% (IQR 8·3-20·9%), respectively. However, the highest burden was seen in underprivileged children from marginalised communities of high-income countries; median prevalence 19·4%, (IQR 3·9-43·3%). Conclusion Based on data from studies published since 2000 from low and low-middle income countries, we estimate the global population of children suffering from impetigo at any one time to be in excess of 162 million, predominantly in tropical, resource-poor contexts. Impetigo is an under-recognised disease and in conjunction with scabies, comprises a major childhood dermatological condition with potential lifelong consequences if untreated.
199 citations
Authors
Showing all 1506 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mark E. Cooper | 158 | 1463 | 124887 |
Richard J. Simpson | 113 | 850 | 59378 |
Peter D. Sly | 103 | 837 | 44815 |
Patrick G. Holt | 103 | 619 | 41317 |
Lyle J. Palmer | 99 | 372 | 47423 |
Alan O Trounson | 92 | 541 | 33785 |
Malcolm R. Sears | 86 | 375 | 30802 |
Bart J. Currie | 86 | 662 | 29494 |
Paul Burton | 85 | 418 | 42766 |
Andrew J. Martin | 84 | 819 | 36203 |
Jonathan R. Carapetis | 76 | 384 | 75777 |
David A. Mackey | 75 | 531 | 24133 |
Simon Mallal | 74 | 400 | 24687 |
Sourav Ghosh | 73 | 287 | 50764 |
John M. Graham | 72 | 380 | 18745 |