Patrick Mcelduff

Prof. Patrick Mcelduff


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2014 in Journal of Affective Disorders
Verified
Journal Article
Closed access
KVKhanrin Vashum-Johnston
Khanrin Vashum-Johnston
Mark McEvoyMark McEvoy
Mark McEvoy
AMAbul Hasnat Milton
Abul Hasnat Milton
PMPatrick Mcelduff
Patrick Mcelduff
AHAlexis Hure
Alexis Hure
JAJohn Attia
John Attia

25 April 2012 in BMC Health Services Research
Verified
Journal Article
Open access
PDF file
JRJane Robertson
Jane Robertson
PMPatrick Mcelduff
Patrick Mcelduff
DPDr Sallie Pearson
Dr Sallie Pearson
DHDavid Henry
David Henry
KIKerry J Inder
Kerry J Inder
JAJohn Attia
John Attia
The burden of patients with heart failure on health care systems is widely recognised, although there have been few attempts to quantify individual patterns of care and differences in health service utilisation related to age, socio-economic factors and the presence of co-morbidities. The aim of this study was to assess the typical profile, trajectory and resource use of a cohort of Australian patients with heart failure using linked population-based, patient-level data.

25 October 2015 in Implementation Science
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Journal Article
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JJJannah Jones
Jannah Jones
RWRebecca Wyse
Rebecca Wyse
MFMeghan Finch
Meghan Finch
CLChristophe Lecathelinais
Christophe Lecathelinais
JWJohn Wiggers
John Wiggers
LWLuke Wolfenden
Luke Wolfenden
The primary aim of this study was to evaluate the effectiveness of an intervention to increase the implementation of healthy eating and physical activity policies and practices by centre-based childcare services. The study also sought to determine if the intervention was effective in improving child dietary intake and increasing child physical activity levels while attending childcare. A parallel group, randomised controlled trial was conducted in a sample of 128 childcare services. Intervention strategies included provision of implementation support staff, securing executive support, staff training, consensus processes, academic detailing visits, tools and resources, performance monitoring and feedback and a communications strategy. The primary outcome of the trial was the proportion of services implementing all seven healthy eating and physical activity policies and practices targeted by the intervention. Outcome data were collected via telephone surveys with nominated supervisors and room leaders at baseline and immediately post-intervention. Secondary trial outcomes included the differences between groups in the number of serves consumed by children for each food group within the Australian Guide to Healthy Eating and in the proportion of children engaged in sedentary, walking or very active physical activity assessed via observation in a random subsample of 36 services at follow-up. There was no significant difference between groups for the primary trial outcome (p = 0.44). Relative to the control group, a significantly larger proportion of intervention group services reported having a written nutrition and physical activity policy (p = 0.05) and providing adult-guided activities to develop fundamental movement skills (p = 0.01). There were no significant differences between groups at follow-up on measures of child dietary intake or physical activity. The findings of the trial were equivocal. While there was no significant difference between groups for the primary trial outcome, the intervention did significantly increase the proportion of intervention group services implementing two of the seven healthy eating and physical activity policies and practices. High levels of implementation of a number of policies and practices at baseline, significant obesity prevention activity in the study region and higher than previously reported intra-class correlation of child behaviours may, in part, explain the trial findings. Australian Clinical Trials Registry (reference ACTRN12612000927820 ).

9 March 2017 in Trials
Verified
Journal Article
Open access
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DBDaniel Barker
Daniel Barker
CDCatherine D’eSte
Catherine D’eSte
MCMichael J Joseph Campbell
Michael J Joseph Campbell
PMPatrick Mcelduff
Patrick Mcelduff
Stepped wedge cluster randomised trials frequently involve a relatively small number of clusters. The most common frameworks used to analyse data from these types of trials are generalised estimating equations and generalised linear mixed models. A topic of much research into these methods has been their application to cluster randomised trial data and, in particular, the number of clusters required to make reasonable inferences about the intervention effect. However, for stepped wedge trials, which have been claimed by many researchers to have a statistical power advantage over the parallel cluster randomised trial, the minimum number of clusters required has not been investigated. We conducted a simulation study where we considered the most commonly used methods suggested in the literature to analyse cross-sectional stepped wedge cluster randomised trial data. We compared the per cent bias, the type I error rate and power of these methods in a stepped wedge trial setting with a binary outcome, where there are few clusters available and when the appropriate adjustment for a time trend is made, which by design may be confounding the intervention effect. We found that the generalised linear mixed modelling approach is the most consistent when few clusters are available. We also found that none of the common analysis methods for stepped wedge trials were both unbiased and maintained a 5% type I error rate when there were only three clusters. Of the commonly used analysis approaches, we recommend the generalised linear mixed model for small stepped wedge trials with binary outcomes. We also suggest that in a stepped wedge design with three steps, at least two clusters be randomised at each step, to ensure that the intervention effect estimator maintains the nominal 5% significance level and is also reasonably unbiased.

25 February 2011 in Australian Health Review
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Journal Article
Closed access
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PMParker J. Magin
Parker J. Magin
JMJenny May
Jenny May
PMPatrick Mcelduff
Patrick Mcelduff
SGSusan M. Goode
Susan M. Goode
JAJon Adams
Jon Adams
GCGeorgina L. Cotter
Georgina L. Cotter
Objective.: To examine the experiences of occupational violence in general practitioner (GP) and non-GP staff. Further objectives were to compare prevalence of violence in GP and non-GP staff and to examine levels of apprehension and perceptions of control over violence. Design.: Cross-sectional questionnaire-based study. Setting.: A network of research general practices, New South Wales, Australia. Participants.: GPs and non-GP staff – receptionist, practice-management, nursing and allied health staff. Main outcome measure(s).: Experience of occupational violence during the previous 12 months. Other outcomes examined were workplace apprehension regarding violence, perception of occupational violence as a problem in general practice, and perception of control over violence in the workplace. Results.: A total of125 questionnaire replies were received (response rate 55%), 59.3% of GPs and 74.6% of non-GPs had experienced work-related violence during the previous 12 months. The difference was not significant (OR 0.65, 95% CI 0.20–2.06). Subjects in rural practices were more likely than those in urban practices to have experienced violence (OR 3.79, 95% CI 1.15–12.5). Personal experience of violence (OR 35.9, 95% CI 6.24–207) and a perception that violence is increasing (OR 8.33, 95% CI 1.89–36.6) were associated with apprehension regarding violence at work. What is known about the topic?: The prevalence and impact upon GPs of occupational violence is well established, but occupational violence has been little-researched in non-GP staff. What does this paper add?: This study demonstrates that occupational violence is a major issue for non-GP staff – at least as much as it is for GPs. What are the implications for practitioners?: Apprehension and fear among general practice staff are strongly associated with experiences of violence and must be addressed at a whole-of-practice level with measures to reduce violence and improve safety.

4 January 2018 in Nutrients
Verified
Journal Article
Open access
PDF file
AMAbul Hasnat Milton
Abul Hasnat Milton
KVKhanrin Vashum-Johnston
Khanrin Vashum-Johnston
Mark McEvoyMark McEvoy
Mark McEvoy
SHSumaira Hussain
Sumaira Hussain
PMPatrick Mcelduff
Patrick Mcelduff
JAJohn Attia
John Attia
Several animal and human studies have shown that zinc is associated with cellular damage and cardiac dysfunction. This study aims to investigate dietary zinc and the zinc-iron ratio, as predictors of incident cardiovascular disease (CVD) in a large longitudinal study of mid-age Australian women (aged 50–61 years). Data was self-reported and validated food frequency questionnaires were used to assess dietary intake. Energy-adjusted zinc was ranked using quintiles and predictors of incident CVD were examined using stepwise logistic regression. After six years of follow-up, 320 incident CVD cases were established. A positive association between dietary zinc intake, zinc-iron ratio and risk of CVD was observed even after adjusting for potential dietary and non-dietary confounders. Compared to those with the lowest quintile of zinc, those in the highest quintile (Odds Ratio (OR) = 1.67, 95% Confidence Interval (CI) = 1.08–2.62) and zinc-iron ratio (OR = 1.72, 95% CI = 1.05–2.81) had almost twice the odds of developing CVD (p trend = 0.007). This study shows that high dietary zinc intake and zinc-iron ratio is associated with a greater incidence of CVD in women. Further studies are required detailing the source of zinc and iron in diet and their precise roles when compared to other essential nutrients.