Lyn Ebert

Dr. Lyn Ebert

College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan NSW 2308, Australia

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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1 December 2007 in Women and Birth
Verified
Journal Article
Closed access
LELyn Ebert
Lyn Ebert
KFKathleen Fahy
Kathleen Fahy

26 April 2017 in BMC Cancer
Verified
Journal Article
Open access
PDF file
JZJiemin ZHU
Jiemin ZHU
LELyn Ebert
Lyn Ebert
XLXiangyu Liu
Xiangyu Liu
Sally Wai Chi ChanSally Wai Chi Chan
Sally Wai Chi Chan
Women with breast cancer undergoing chemotherapy suffer from a number of symptoms and report receiving inadequate support from health care professionals. Innovative and easily accessible interventions are lacking. Breast Cancer e-Support is a mobile Application program (App) that provides patients with individually tailored information and a support group of peers and health care professionals. Breast Cancer e-Support aims to promote women’s self-efficacy, social support and symptom management, thus improving their quality of life and psychological well-being. A single-blinded, multi-centre, randomised, 6-month, parallel-group superiority design will be used. Based on Bandura’s self-efficacy theory and the social exchange theory, Breast Cancer e-Support has four modules: 1) a Learning forum; 2) a Discussion forum; 3) an Ask-the-Expert forum; and 4) a Personal Stories forum. Women with breast cancer (n = 108) who are commencing chemotherapy will be recruited from two university-affiliated hospitals in China. They will be randomly assigned to either control group that receives routine care or intervention group that receives routine care plus access to Breast Cancer e-Support program during their four cycles of chemotherapy. Self-efficacy, social support, symptom distress, quality of life, and anxiety and depression will be measured at baseline, then one week and 12 weeks post-intervention. This is the first study of its kind in China to evaluate the use of a mobile application intervention with a rigorous research design and theoretical framework. This study will contribute to evidence regarding the effectiveness of a theory-based mobile application to support women with breast cancer undergoing chemotherapy. The results should provide a better understanding of the role of self-efficacy and social support in reducing symptom distress and of the credibility of using a theoretical framework to develop internet-based interventions. The results will provide evidence to support the implementation of an innovative and easily accessible intervention that enhances health outcomes. ACTRN: ACTRN12616000639426 , Registered 17 May, 2016.

1 September 2014 in Nurse Education in Practice
Verified
Journal Article
Closed access
LELyn Ebert
Lyn Ebert
KHKerry Hoffman
Kerry Hoffman
TLTracy Lynn Levett-Jones
Tracy Lynn Levett-Jones
Conor GilliganConor Gilligan
Conor Gilligan


1 January 2016 in Nurse Education in Practice
Verified
Journal Article
Closed access
LELyn Ebert
Lyn Ebert
OTOlivia Tierney
Olivia Tierney
DJDonovan Jones
Donovan Jones

17 January 2017 in BMC Pregnancy and Childbirth
Verified
Journal Article
Open access
PDF file
SFShanna M Fealy
Shanna M Fealy
RTRachael M. Taylor
Rachael M. Taylor
MFMaralyn Foureur
Maralyn Foureur
JAJohn Attia
John Attia
LELyn Ebert
Lyn Ebert
AHAlexis Hure
Alexis Hure
Excessive gestational weight gain is associated with short and long-term adverse maternal and infant health outcomes, independent of pre-pregnancy body mass index. Weighing pregnant women as a stand-alone intervention during antenatal visits is suggested to reduce pregnancy weight gain. In the absence of effective interventions to reduce excessive gestational gain within the real world setting, this study aims to test if routine weighing as a stand-alone intervention can reduce total pregnancy weight gain and, in particular, excessive gestational weight gain. A systematic review and meta–analysis of randomised controlled trials (RCTs) was conducted between November 2014 and January 2016, and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Seven databases were searched. A priori eligibility criteria were applied to published literature by at least two independent reviewers. Studies considered methodologically rigorous, as per the Academy of Nutrition and Dietetics Quality Criteria Checklist for Primary Research, were included. Meta-analysis was conducted using fixed-effects models. A total of 5223 (non-duplicated) records were screened, resulting in two RCTs that were pooled for meta-analysis (n = 1068 randomised participants; n = 538 intervention, n = 534 control). No difference in total weight gain per week was observed between intervention and control groups (weighted mean difference (WMD) -0.00 kg/week, 95% confidence interval (CI) -0.03 to 0.02). There was also no reduction in excessive gestational weight gain between intervention and control, according to pre-pregnancy body mass index (BMI). However, total weight gain was lower in underweight women (n = 23, BMI <18.5 kg/m2) in the intervention compared to control group (−0.12 kg/week, 95% CI −0.23 to −0.01). No significant differences were observed for other pregnancy, birth and infant outcomes. Weighing as a stand-alone intervention is not worse nor better at reducing excessive gestational weight gain than routine antenatal care.