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Featured researches published by Phil Anderson.


BMC Health Services Research | 2010

Empirical aspects of record linkage across multiple data sets using statistical linkage keys: the experience of the PIAC cohort study

Rosemary Karmel; Phil Anderson; Diane Gibson; Ann Peut; Stephen Duckett; Yvonne Wells

BackgroundIn Australia, many community service program data collections developed over the last decade, including several for aged care programs, contain a statistical linkage key (SLK) to enable derivation of client-level data. In addition, a common SLK is now used in many collections to facilitate the statistical examination of cross-program use. In 2005, the Pathways in Aged Care (PIAC) cohort study was funded to create a linked aged care database using the common SLK to enable analysis of pathways through aged care services.Linkage using an SLK is commonly deterministic. The purpose of this paper is to describe an extended deterministic record linkage strategy for situations where there is a general person identifier (e.g. an SLK) and several additional variables suitable for data linkage. This approach can allow for variation in client information recorded on different databases.MethodsA stepwise deterministic record linkage algorithm was developed to link datasets using an SLK and several other variables. Three measures of likely match accuracy were used: the discriminating power of match key values, an estimated false match rate, and an estimated step-specific trade-off between true and false matches. The method was validated through examining link properties and clerical review of three samples of links.ResultsThe deterministic algorithm resulted in up to an 11% increase in links compared with simple deterministic matching using an SLK. The links identified are of high quality: validation samples showed that less than 0.5% of links were false positives, and very few matches were made using non-unique match information (0.01%). There was a high degree of consistency in the characteristics of linked events.ConclusionsThe linkage strategy described in this paper has allowed the linking of multiple large aged care service datasets using a statistical linkage key while allowing for variation in its reporting. More widely, our deterministic algorithm, based on statistical properties of match keys, is a useful addition to the linkers toolkit. In particular, it may prove attractive when insufficient data are available for clerical review or follow-up, and the researcher has fewer options in relation to probabilistic linkage.


Environmental Research | 2013

Surface dust wipes are the best predictors of blood leads in young children with elevated blood lead levels

Brian L. Gulson; Phil Anderson; Alan Taylor

BACKGROUND As part of the only national survey of lead in Australian children, which was undertaken in 1996, lead isotopic and lead concentration measurements were obtained from children from 24 dwellings whose blood lead levels were ≥15 µg/dL in an attempt to determine the source(s) of their elevated blood lead. Comparisons were made with data for six children with lower blood lead levels (<10 µg/dL). METHODS Thermal ionisation and isotope dilution mass spectrometry were used to determine high precision lead isotopic ratios (208Pb/206pb, 207Pb/206Pb and 206Pb/204Pb) and lead concentrations in blood, dust from floor wipes, soil, drinking water and paint (where available). Evaluation of associations between blood and the environmental samples was based on the analysis of individual cases, and Pearson correlations and multiple regression analyses based on the whole dataset. RESULTS AND DISCUSSION The correlations showed an association for isotopic ratios in blood and wipes (r=0.52, 95% CI 0.19-0.74), blood and soil (r=0.33, 95% CI -0.05-0.62), and blood and paint (r=0.56, 95% CI 0.09-0.83). The regression analyses indicated that the only statistically significant relationship for blood isotopic ratios was with dust wipes (B=0.65, 95% CI 0.35-0.95); there were no significant associations for lead concentrations in blood and environmental samples. There is a strong isotopic correlation of soils and house dust (r=0.53, 95% CI 0.20-0.75) indicative of a common source(s) for lead in soil and house dust. In contrast, as with the regression analyses, no such association is present for bulk lead concentrations (r=-0.003, 95% CI -0.37-0.36), the most common approach employed in source investigations. In evaluation of the isotopic results on a case by case basis, the strongest associations were for dust wipes and blood.


Australasian Journal on Ageing | 2008

The acute-aged care interface: Exploring the DYNAMICS of 'bed blocking'

Catherine Travers; Geoff McDonnell; G. A. Broe; Phil Anderson; Rosemary Karmel; Stephen Duckett; Len Gray

Objective:  To understand the dynamics underlying ‘bed‐blocking’ in Australian public hospitals that is frequently blamed on older patients.


American Heart Journal | 2016

Rationale and design of a randomized controlled trial of pneumococcal polysaccharide vaccine for prevention of cardiovascular events: The Australian Study for the Prevention through Immunization of Cardiovascular Events (AUSPICE)

Shu Ren; Alexis J. Hure; Roseanne Peel; Catherine D'Este; Walter P. Abhayaratna; Andrew Tonkin; Ingrid Hopper; Amanda G. Thrift; Christopher Levi; Jonathan Sturm; David N. Durrheim; Joseph Hung; Tom Briffa; Derek P. Chew; Phil Anderson; Lynelle Moon; Mark McEvoy; Philip M. Hansbro; David Newby; John Attia

BACKGROUND Research has shown that vaccination with Streptococcus pneumoniae reduced the extent of atherosclerosis in experimental animal models. It is thought that phosphorylcholine lipid antigens in the S. pneumoniae cell wall induce the production of antibodies that cross-react with oxidized low-density lipoprotein, a component of atherosclerotic plaques. These antibodies may bind to and facilitate the regression of the plaques. Available data provide evidence that similar mechanisms also occur in humans, leading to the possibility that pneumococcal vaccination protects against atherosclerosis. A systematic review and meta-analysis, including 8 observational human studies, of adult pneumococcal polysaccharide vaccination for preventing cardiovascular disease in people older than 65 years, showed a 17% reduction in the odds (odds ratio 0.83, 95% CI 0.71-0.97) of having an acute coronary syndrome event. METHODS/DESIGN The AUSPICE is a multicenter, randomized, placebo-controlled, double-blind, clinical trial to formally test whether vaccination with the pneumococcal polysaccharide vaccine protects against cardiovascular events (fatal and nonfatal acute coronary syndromes and ischemic strokes). Cardiovascular outcomes will be obtained during 4 to 5 years of follow-up, through health record linkage with state and national administrative data sets. CONCLUSION This is the first registered randomized controlled trial (on US, World Health Organization, Australia and New Zealand trial registries) to be conducted to test whether vaccination with the pneumococcal polysaccharide vaccine will reduce cardiovascular events. If successful, vaccination can be readily extended to at-risk groups to reduce the risk of cardiovascular diseases.


Australian and New Zealand Journal of Public Health | 2016

Addressing the challenges of cross-jurisdictional data linkage between a national clinical quality registry and government-held health data

Nadine E. Andrew; Vijaya Sundararajan; Amanda G. Thrift; Monique Kilkenny; Judith M. Katzenellenbogen; Felicity Flack; Melina Gattellari; James H. Boyd; Phil Anderson; Brenda Grabsch; Natasha Lannin; Trisha Johnston; Ying Long Chen; Dominique A. Cadilhac

Objective: To describe the challenges of obtaining state and nationally held data for linkage to a non‐government national clinical registry.


Methods of Information in Medicine | 2016

A Simple Sampling Method for Estimating the Accuracy of Large Scale Record Linkage Projects.

James H. Boyd; T. Guiver; Sean M. Randall; Anna Ferrante; James B. Semmens; Phil Anderson; T. Dickinson

BACKGROUND Record linkage techniques allow different data collections to be brought together to provide a wider picture of the health status of individuals. Ensuring high linkage quality is important to guarantee the quality and integrity of research. Current methods for measuring linkage quality typically focus on precision (the proportion of incorrect links), given the difficulty of measuring the proportion of false negatives. OBJECTIVES The aim of this work is to introduce and evaluate a sampling based method to estimate both precision and recall following record linkage. METHODS In the sampling based method, record-pairs from each threshold (including those below the identified cut-off for acceptance) are sampled and clerically reviewed. These results are then applied to the entire set of record-pairs, providing estimates of false positives and false negatives. This method was evaluated on a synthetically generated dataset, where the true match status (which records belonged to the same person) was known. RESULTS The sampled estimates of linkage quality were relatively close to actual linkage quality metrics calculated for the whole synthetic dataset. The precision and recall measures for seven reviewers were very consistent with little variation in the clerical assessment results (overall agreement using the Fleiss Kappa statistics was 0.601). CONCLUSIONS This method presents as a possible means of accurately estimating matching quality and refining linkages in population level linkage studies. The sampling approach is especially important for large project linkages where the number of record pairs produced may be very large often running into millions.


Archive | 2008

Movement from hospital to residential aged care

Rosemary Karmel; Jonas Lloyd; Phil Anderson


Australasian epidemiologist | 2013

Using linked data to more comprehensively measure the quality of care for stroke – understanding the issues

Dominique A. Cadilhac; Vijaya Sundararajan; Nadine E. Andrew; Monique Kilkenny; Felicity Flack; Phil Anderson; James H. Boyd; Amanda G. Thrift; Judith M. Katzenellenbogen


Alzheimers & Dementia | 2010

Age effects upon general hospital admissions of persons with dementia: Longer admissions in young-onset dementia

Brian Draper; Diane Gibson; Ann Peut; Rosemary Karmel; Phil Anderson; Gail Brien; Le Anh Pham Lobb; Charles Hudson


International Journal for Population Data Science | 2018

High quality linked data for stroke obtained using non-government clinical registry and routinely collected hospital and death data

Monique Kilkenny; Joosup Kim; Nadine E. Andrew; Vijaya Sundararajan; Amanda G. Thrift; Judith M. Katzenellenbogen; Felicity Flack; Melina Gattellari; James H. Boyd; Phil Anderson; Natasha Lannin; Mark Sipthorp; Ying Chen; Trisha Johnston

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Rosemary Karmel

Australian Institute of Health and Welfare

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Ann Peut

Australian Institute of Health and Welfare

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Felicity Flack

University of Western Australia

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Monique Kilkenny

Florey Institute of Neuroscience and Mental Health

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