Shelley A. Wilkinson
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
Articles (11)
Year:
2023
Year:
2023
Year:
2023
Aim Optimising preconception health increases the likelihood of conception, positively influences short‐ and long‐term pregnancy outcomes and reduces intergenerational chronic disease risk. Our aim was to synthesise study characteristics and maternal outcomes of digital or blended (combining face to face and digital modalities) interventions in the preconception period. Methods We searched six databases (PubMed, Cochrane, Embase, Web of Science, CINHAL and PsycINFO) from 1990 to November 2022 according to the PRISMA guidelines for randomised control trials, quasi‐experimental trials, observation studies with historical control group. Studies were included if they targeted women of childbearing age, older than 18 years, who were not currently pregnant and were between pregnancies or/and actively trying to conceive. Interventions had to be delivered digitally or via digital health in combination with face‐to‐face delivery and aimed to improve modifiable behaviours, including dietary intake, physical activity, weight and supplementation. Studies that included women diagnosed with type 1 or 2 diabetes were excluded. Risk of bias was assessed using the Academy of Nutrition and Dietetics quality criteria checklist. Study characteristics, intervention characteristics and outcome data were extracted. Results Ten studies (total participants n=4,461) were included, consisting of nine randomised control trials and one pre–post cohort study. Seven studies received a low risk of bias and two received a neutral risk of bias. Four were digitally delivered and six were delivered using blended modalities. A wide range of digital delivery modalities were employed, with the most common being email and text messaging. Other digital delivery methods included web‐based educational materials, social media, phone applications, online forums and online conversational agents. Studies with longer engagement that utilised blended delivery showed greater weight loss. Conclusion More effective interventions appear to combine both traditional and digital delivery methods. More research is needed to adequately test effective delivery modalities across a diverse range of digital delivery methods, as high heterogeneity was observed across the small number of included studies.
Year:
2023
Background The rapidly rising prevalence of gestational diabetes mellitus (GDM) poses major challenges to the efficient, timely and sustainable provision of diabetes care. Aim To assess whether the implementation of a novel, digital model of care would provide improved efficiency without compromising clinical outcomes in a cohort of women with GDM. Methods A digital model of care was developed, implemented and evaluated using a prospective pre‐post study design in 2020–21 at a quaternary centre. We introduced six culturally and linguistically tailored educational videos, home delivery of equipment and prescriptions, and a smartphone app‐to‐clinician portal for glycaemic review and management. Outcomes were prospectively recorded by an electronic medical record. Associations between model of care and maternal and neonatal characteristics and birth outcomes were examined for all women and separately by treatment received (diet, metformin, insulin). Results Comparing pre‐implementation ( n = 598) and post‐implementation ( n = 337) groups, maternal (onset, mode of birth) and neonatal (birthweight, large for gestational age (LGA), nursery admission) clinical outcomes confirmed that the novel model of care was similar to standard, traditional care. Minor birthweight variation was noted when separated by treatment type (diet, metformin, insulin). Conclusion This pragmatic service redesign demonstrates reassuring clinical outcomes in a culturally diverse GDM cohort. Despite the lack of randomisation, this intervention has potential generalisability for GDM care and important key learnings for service redesign in the digital era.
Year:
2023
txt4two is a multi-modality intervention promoting healthy pregnancy nutrition, physical activity (PA), and gestational weight gain (GWG), which had been previously evaluated in a pilot randomized controlled trial (RCT). This study aimed to evaluate a pragmatic implementation of an adapted version of txt4two in a public tertiary hospital. Using a consecutive cohort design, txt4two was delivered to women with a pre-pregnancy BMI > 25 kg/m2, between 10 + 0 to 17 + 6 weeks. Control and intervention cohorts (n = 150) were planned, with surveys and weight measures at baseline and 36 weeks. The txt4two cohort received a dietetic goal-setting appointment and program (SMS, website, and videos). The navigation of disparate hospital systems and the COVID-19 pandemic saw adaptation and adoption take two years. The intervention cohort (n = 35; 43% full data) demonstrated significant differences (mean (SD)), compared to the control cohort (n = 97; 45% full data) in vegetable intake (+0.9 (1.2) versus +0.1 (0.7), p = 0.03), fiber-diet quality index (+0.6 (0.8) versus 0.1 (0.5), p = 0.012), and total diet quality index (+0.7 (1.1) versus +0.2 (±0.6), p = 0.008), but not for PA or GWG. Most (85.7%) intervention participants found txt4two extremely or moderately useful, and 92.9% would recommend it. Embedding the program in a non-RCT context raised implementation challenges. Understanding the facilitators and barriers to adaptation and adoption will strengthen the evidence for the refinement of implementation plans.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Collaborators (9)
Anna Mae Scott
Bond University
Susan de Jersey
Associate Professor
University of Queensland
Helen Truby
MONASH UNIVERSITY
Centaine L Snoswell
University of Queensland
Jane C. Willcox
University of Queensland
Helen L Barrett
conjoint Associate Professor
UNSW Sydney
Adrienne Young
-
Harold D. McIntyre
-
BRIANNA FJELDSOE
Senior Lecturer
University of Queensland
Make your next move.
Prepare your application
Review drafts before you send them.