Judy Mullan

Dr. Judy Mullan

Centre for Health Research Illawarra Shoalhaven Population (CHRISP) and School of Medicine, University of Wollongong, Wollongong, NSW 2500, Australia
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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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20 December 2013 in Journal of Clinical Nursing
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RGRobyn Gillespie
Robyn Gillespie
JMJudy Mullan
Judy Mullan
LHLindsey Harrison
Lindsey Harrison

23 October 2017 in BMC Nephrology
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KLKelly Lambert
Kelly Lambert
JMJudy Mullan
Judy Mullan
Kylie J. MansfieldKylie J. Mansfield
Kylie J. Mansfield
Dietary modification is an important component of the management of end stage kidney disease (ESKD). The diet for ESKD involves modifying energy and protein intake, and altering sodium, phosphate, potassium and fluid intake. There have been no comprehensive reviews to date on this topic. The aims of this integrative review were to (i) describe the methods used to measure dietary adherence (ii) determine the rate of dietary adherence and (iii) describe factors associated with dietary adherence in ESKD. The Web of Science and Scopus databases were searched using the search terms ‘adherence’ and ‘end stage kidney disease’. Of the 787 potentially eligible papers retrieved, 60 papers of 24,743 patients were included in this review. Of these papers, 44 reported the rate of dietary adherence and 44 papers described factors associated with adherence. Most of the evidence regarding dietary adherence is derived from studies of hemodialysis patients (72% of patients). The most common method of measuring dietary adherence in ESKD was subjective techniques (e.g. food diaries or adherence questionnaires). This was followed by indirect methods (e.g. serum potassium, phosphate or interdialytic weight gain). The weighted mean adherence rate to ESKD dietary recommendations was 31.5% and 68.5% for fluid recommendations. Adherence to protein, sodium, phosphate, and potassium recommendations were highly variable due to differences in measurement methods used, and were often derived from a limited evidence base. Socioeconomic status, age, social support and self-efficacy were associated with dietary adherence. However, factors such as taste, the impact of the diet on social eating occasions; and dietetic staffing also appear to play a role in dietary adherence. Dietary adherence rates in people with ESKD are suboptimal. Further research is required on dietary adherence in patients with ESKD from different social, educational, economic and ethnic groups. This research may identify other factors which may impact upon adherence, and could be used to inform the design of future strategies to improve dietary adherence. Future research that reports not just the rate of adherence to individual components of the nutrient prescription but also the overall quality of the diet would be useful.

29 January 2019 in PLOS ONE
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KMKarumathil M. Murali
Karumathil M. Murali
JMJudy Mullan
Judy Mullan
SRSteven Roodenrys
Steven Roodenrys
HHHicham C. Hassan
Hicham C. Hassan
KLKelly Lambert
Kelly Lambert
MLMaureen Lonergan
Maureen Lonergan
In patients with end stage kidney disease (ESKD) on dialysis, treatment non-adherence is common and results in poor health outcomes. However, the clinical benefits of interventions to improve adherence in dialysis patients are difficult to evaluate since trialled interventions and reported outcomes are highly diverse/ heterogeneous. This review summarizes existing literature on randomized controlled trials (RCTs) evaluating adherence interventions in ESKD patients focusing on the intervention category, outcome efficacy and persistence of benefit beyond the intervention. We performed electronic database searches in Medline, Embase & Cochrane CENTRAL upto 1st July 2018 for RCTs evaluating interventions to improve diet, fluid, medication or dialysis adherence in ESKD patients. Study characteristics including category of interventions, outcomes, efficacy and follow-up were assessed. Meta-analysis was used to compute pooled estimates of the effects on the commonest reported outcome measures. From 1311 citations, we included 36 RCTs (13 cluster-randomized trials), recruiting a total of 3510 dialysis patients (mean age 55.1 ± 5.8 years, males 58.1%). Overall risk of bias was ‘high’ for 24 and of ‘some concern’ for 12 studies. Most interventions (33 trials, 92%) addressed patient related factors, and included educational/cognitive (N = 11), behavioural / counselling (N = 4), psychological/affective (N = 4) interventions or a combination (N = 14) of the above. A majority of (28/36) RCTs showed improvement in some reported outcomes. Surrogate measures like changes in phosphate (N = 19) and inter-dialytic weight gain (N = 15) were the most common reported outcomes and both showed significant improvement in the meta-analysis. Sixteen trials reported follow-up (1–12 months) beyond intervention and the benefits waned or were absent in nine trials within 12 months post-intervention. Interventions to improve treatment adherence result in modest short-term benefits in surrogate outcome measures in dialysis patients, but significant improvements in trial design and outcome reporting are warranted to identify strategies that would achieve meaningful and sustainable clinical benefits. Poor methodological quality of trials. Frequent use of surrogate outcomes measures. Low certainly of evidence.

16 May 2017 in Education Sciences
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JMJudy Mullan
Judy Mullan
PBPippa Burns
Pippa Burns
KWKathryn Weston
Kathryn Weston
PMPeter Mclennan
Peter Mclennan
WRWarren Rich
Warren Rich
RORichard Osborne
Richard Osborne
Background: This study aimed to assess and compare health literacy levels in a range of university-based health students. Methods: A survey containing the Health Literacy Questionnaire (HLQ) was administered to students enrolled in university-based medical, allied health or nursing degree programs. The HLQ scores and scale scores were compared across student groups. Results: In total, 374 students (24% response rate) with a median age of 25 years (range: 17–61 years), returned completed surveys. Three students who did not identify their degree programs were excluded from the final analysis which included 371 respondents; 242 graduate-entry medical students (65%), 67 allied health students (18%) and 62 nursing students (17%). Overall, the medical students had the highest score for seven of the nine HLQ scales; while the nursing students had the lowest score for all of the nine HLQ scales. Conclusion: These results show that health literacy profiles are different across student groups. In order to provide excellent patient-centred care, and to successfully look after their own health, a high level of health literacy is required by future health professionals. Health literacy training modules, tailored according to the different needs of the student groups, should therefore be included in university-based health professional degree programs.

27 March 2012 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
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CCChun-Min Chen
Chun-Min Chen
JMJudy Mullan
Judy Mullan
YSYung-Yu Su
Yung-Yu Su
DGDavid Griffiths
David Griffiths
IKIrene A. Kreis
Irene A. Kreis
HCHerng-Chia Chiu
Herng-Chia Chiu
Although depressive symptoms in older adults are common, their relationship with disability and the influence of disability on the development of depressive symptoms over time is not well understood. This longitudinal study investigates the change trajectories of both depressive symptoms and disability, as well as their associations over time. Participants included 442 community-dwelling older adults living in Taiwan, aged 65 years or older, who completed six waves of survey interviews. Depression was scored with the Short Psychiatric Evaluation Schedule and disability with the instrumental and physical activities of daily living measure during each consecutive data collection wave. The autoregressive latent trajectory model and parallel latent growth curve modeling were adopted for analysis of the data. The autoregressive latent trajectory model highlights that previous depressive symptoms (and disability) significantly contributed to the advancement of more severe depressive symptoms (and disability). This model also indicates that disability significantly contributed to the onset of depressive symptoms and vice versa. The parallel latent growth curve modeling highlights that the disability intercept had significant effects on the depressive symptoms intercept, as did the depressive symptoms on disability. Furthermore, the disability slope had significant effects on the slope of the depressive symptoms. These findings demonstrate that disability is a stronger predictor of depressive symptoms than depressive symptoms are of disability. In addition, the prior existence of a health condition will lead to further deterioration of health conditions and that they often coexist.

10 May 2018 in Health Science Reports
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RGRobyn J. Gillespie
Robyn J. Gillespie
LHLindsey Harrison
Lindsey Harrison
JMJudy Mullan
Judy Mullan
Aims: This review investigates the factors that influence deprescribing of medications in primary care from the perspective of general practitioners (GPs) and community‐living older adults.Methods: A mixed studies review structure was adopted searching Scopus, CINAHL, PsychINFO, ProQuest, and PubMed from January 2000 to December 2017. A manual search of reference lists was also conducted. Studies were included if they were original research available in English and explored general deprescribing rather than deprescribing of a specific class of medications. The Mixed Methods Assessment Tool was used to assess the quality of studies, and content analysis generated common categories across studies.Results: Thirty‐eight articles were included, and 7 key categories were identified. The review found that the factors that influence deprescribing are similar across and within health systems and mostly act as barriers. These factors remained unchanged across the review period. The structural organisation of health systems remains poorly suited to facilitate deprescribing. Individual knowledge gaps of both GPs and older adults influence practices and attitudes towards deprescribing, and significant communication gaps occur between GPs and specialists and between GPs and older adults. As a result, deprescribing decision making is characterised by uncertainty, and deprescribing is often considered only when medication problems have already arisen. Trust plays a complex role, acting as both a barrier and facilitator of deprescribing.Conclusions: Deprescribing is influenced by many factors. Despite recent interest, little change has occurred. Multilevel strategies aimed at reforming aspects of the health system and managing uncertainty at the practice and individual level, notably reducing knowledge limitations and closing communications gaps, may achieve change.