Stephanie Partridge

Dr. Stephanie Partridge

Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia
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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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20 October 2016 in Obesity Reviews
Verified
Journal Article
Closed access
PDF file
AMA. E. Munt
A. E. Munt
SPStephanie Partridge
Stephanie Partridge
Margaret Allman-FarinelliMargaret Allman-Farinelli
Margaret Allman-Farinelli

1 May 2018 in Diabetes Research and Clinical Practice
Verified
Journal Article
Closed access
ESEmma Sainsbury
Emma Sainsbury
NKNathalie V. Kizirian
Nathalie V. Kizirian
SPStephanie Partridge
Stephanie Partridge
TGTimothy Gill
Timothy Gill
SCStephen Colagiuri
Stephen Colagiuri
AGAlice Gibson
Alice Gibson

12 October 2020 in Nutrients
Verified
Journal Article
Open access
PDF file
SPStephanie Partridge
Stephanie Partridge
AGAlice Gibson
Alice Gibson
Rajshri RoyRajshri Roy
Rajshri Roy
Jessica MalloyJessica Malloy
Jessica Malloy
RRRebecca Raeside
Rebecca Raeside
JRJulie Redfern
Julie Redfern
The demand for convenience and the increasing role of digital technology in everyday life has fueled the use of online food delivery services (OFD’s), of which young people are the largest users globally. OFD’s are disrupting traditional food environments, yet research evaluating the public health implications of such services is lacking. We evaluated the characteristics and nutritional quality of popular food outlets on a market-leading platform (UberEATS®) in a cross-sectional observational study conducted in two international cities: Sydney (Australia) and Auckland (New Zealand). A systematic search using publicly available population-level data was used to identify geographical areas with above-average concentrations (>30%) of young people (15–34-years). A standardized data extraction protocol was used to identify the ten most popular food outlets within each area. The nutritional quality of food outlets was assessed using the Food Environment Score (FES) (range: −10 ‘unhealthiest’ to 10 ‘healthiest’). Additionally, the most popular menu items from each food outlet were classified as discretionary or core foods/beverages according to the Australian Dietary Guidelines. The majority of popular food outlets were classified as ‘unhealthy’ (FES range −10 to −5; 73.5%, 789/1074) and were predominately takeaway franchise stores (59.6%, 470/789, e.g., McDonald’s®). 85.9% of all popular menu items were discretionary (n = 4958/5769). This study highlights the pervasion and accessibility of discretionary foods on OFD’s. This study demonstrated that the most popular food outlets on the market-leading online food delivery service are unhealthy and popular menu items are mostly discretionary foods; facilitating the purchase of foods of poor nutritional quality. Consideration of OFD’s in public health nutrition strategies and policies in critical.

15 June 2015 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
SPStephanie Partridge
Stephanie Partridge
KMKevin McGeechan
Kevin McGeechan
LHLana Hebden
Lana Hebden
KBKate Balestracci
Kate Balestracci
AWAnnette Ty Wong
Annette Ty Wong
Margaret Allman-FarinelliMargaret Allman-Farinelli
Margaret Allman-Farinelli
Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

2 May 2022 in Journal of Clinical Oncology
Verified
Journal Article
Open access
ASAnna Singleton
Anna Singleton
RRRebecca Raeside
Rebecca Raeside
KHKarice Hyun
Karice Hyun
SPStephanie Partridge
Stephanie Partridge
GTGian Luca Di Tanna
Gian Luca Di Tanna
JRJulie Redfern
Julie Redfern
PURPOSE: Ongoing supportive care using electronic health (eHealth) interventions has the potential to provide remote support and improve health outcomes for patients with breast cancer. This study aimed to evaluate the effectiveness of eHealth interventions on patient-reported outcomes (quality of life [QOL], self-efficacy, and mental or physical health) for patients during and after breast cancer treatment and patient-reported experience measures (acceptability and engagement).METHODS: Systematic review with meta-analyses (random-effects model) of randomized controlled trials was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Nine databases were searched using a prespecified search strategy. Patient-directed eHealth interventions for adult patients during or after active breast cancer treatment measuring QOL, self-efficacy, and mental (depressive, anxiety, and distress symptoms) or physical (physical activity, nutrition, and fatigue) health outcomes were included. Data from eligible full-text articles were independently extracted by six observers.RESULTS: Thirty-two unique studies (4,790 patients) were included. All were health self-management interventions, and most were multicomponent (videos, forums, and electronic reminder systems) websites. Meta-analyses revealed a significant effect of eHealth interventions on QOL (standardized mean difference [SMD], 0.20 [95% CI, 0.03 to 0.36]), self-efficacy (SMD, 0.45 [95% CI, 0.24 to 0.65]), distress (SMD, –0.41 [95% CI,–0.63 to –0.20]), and fatigue (SMD, –0.37 [95% CI, –0.61 to –0.13]). Twenty-five studies (78.1%) measured patient-reported experience measures. Acceptability (n = 9) was high, with high ratings for satisfaction (range, 71%-100%), usefulness (range, 71%-95%), and ease-of-use (range, 73%-92%). Engagement (n = 25) decreased over time, but disease-focused information and interactive support were most engaging.CONCLUSION: eHealth interventions may provide an acceptable and effective strategy for improving QOL, distress, self-efficacy, and fatigue among patients with breast cancer.

6 August 2014 in Obesity Reviews
Verified
Journal Article
Closed access
PDF file
KSKyra Sim
Kyra Sim
SPStephanie Partridge
Stephanie Partridge
Amanda Sainsbury-SalisAmanda Sainsbury-Salis
Amanda Sainsbury-Salis