Amelia Lake

Amelia Lake


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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3 December 2019 in Diabetic Medicine
Verified
Journal Article
Closed access
PDF file
JMJ. McSharry
J. McSharry
MBM. Byrne
M. Byrne
BCB. Casey
B. Casey
SDS. F. Dinneen
S. F. Dinneen
MFM. Fredrix
M. Fredrix
EME. Morrissey
E. Morrissey

1 June 2017 in Journal of Diabetes and its Complications
Verified
Journal Article
Closed access
ALAmelia Lake
Amelia Lake
JBJessica L. Browne
Jessica L. Browne
GRGwyneth Rees
Gwyneth Rees
JSJane Speight
Jane Speight

1 January 2020 in The Lancet Diabetes & Endocrinology
Verified
Journal Article
Closed access
JFJohn Furler
John Furler
DODavid O'Neal
David O'Neal
JSJane Speight
Jane Speight
IBIrene Blackberry
Irene Blackberry
JMJo-Anne Manski-Nankervis
Jo-Anne Manski-Nankervis
JBJames Best
James Best

1 April 2010 in Patient Education and Counseling
Verified
Journal Article
Closed access
ALAmelia Lake
Amelia Lake
PSPetra K. Staiger
Petra K. Staiger

8 September 2022 in Diabetic Medicine
Verified
Journal Article
Open access
ANAdriana C. H. Neven
Adriana C. H. Neven
ALAmelia Lake
Amelia Lake
AWAmelia Williams
Amelia Williams
SOSharleen O'reilly
Sharleen O'reilly
CHChristel Hendrieckx
Christel Hendrieckx
JBJacqueline A. Boyle
Jacqueline A. Boyle
Aims: Racial and ethnic disparities exist in gestational diabetes prevalence and risk of subsequent type 2 diabetes mellitus (T2DM). Postpartum engagement in healthy behaviours is recommended for prevention and early detection of T2DM, yet uptake is low among women from diverse cultural backgrounds. Greater understanding of factors impacting postpartum health behaviours is needed. Applying theTheoretical Domains Framework(TDF) andCapability,Opportunity,Motivation‐Behaviour(COM‐B) model, our aim was to synthesise barriers to and enablers of postpartum health behaviours among women from diverse cultural backgrounds with prior GDM and identify relevant intervention components.Methods: Databases, reference lists and grey literature were searched from September 2017 to April 2021. Two reviewers screened articles independently against inclusion criteria and extracted data. Using an inductive–deductive model, themes were mapped to the TDF and COM‐B model.Results: After screening 5148 citations and 139 full texts, we included 35 studies (N = 787 participants). The main ethnicities included Asian (43%), Indigenous (15%) and African (11%). Barriers and enablers focused onCapability(e.g. knowledge),Opportunity(e.g. competing demands, social support from family, friends and healthcare professionals, culturally appropriate education and resources) andMotivation(e.g. negative emotions, perceived consequences and necessity of health behaviours, social/cultural identity). Five relevant intervention functions are identified to link the barriers and enablers to evidence‐based recommendations for communications to support behaviour change.Conclusions: We provide a conceptual model to inform recommendations regarding the development of messaging and interventions to support women from diverse cultural backgrounds in engaging in healthy behaviours to reduce risk of T2DM.

31 May 2018 in BMC Health Services Research
Verified
Journal Article
Open access
PDF file
ALAmelia Lake
Amelia Lake
JBJessica L. Browne
Jessica L. Browne
CACharles Abraham
Charles Abraham
DTDee Tumino
Dee Tumino
CHCarolyn Hines
Carolyn Hines
JSJane Speight
Jane Speight
Young adults (18–39 years) with type 2 diabetes are at risk of early development and rapid progression of diabetic retinopathy, a leading cause of vision loss and blindness in working-age adults. Retinal screening is key to the early detection of diabetic retinopathy, with risk of vision loss significantly reduced by timely treatment thereafter. Despite this, retinal screening rates are low among this at-risk group. The objective of this study was to develop a theoretically-grounded, evidence-based retinal screening promotion leaflet, tailored to young adults with type 2 diabetes. Utilising the six steps of Intervention Mapping, our multidisciplinary planning team conducted a mixed-methods needs assessment (Step 1); identified modifiable behavioural determinants of screening behaviour and constructed a matrix of change objectives (Step 2); designed, reviewed and debriefed leaflet content with stakeholders (Steps 3 and 4); and developed program implementation and evaluation plans (Steps 5 and 6). Step 1 included in-depth qualitative interviews (N = 10) and an online survey that recruited a nationally-representative sample (N = 227), both informed by literature review. The needs assessment highlighted the crucial roles of knowledge (about diabetic retinopathy and screening), perception of personal risk, awareness of the approval of significant others and engagement with healthcare team, on retinal screening intentions and uptake. In Step 2, we selected five modifiable behavioural determinants to be targeted: knowledge, attitudes, normative beliefs, intention, and behavioural skills. In Steps 3 and 4, the “Who is looking after your eyes?” leaflet was developed, containing persuasive messages targeting each determinant and utilising engaging, cohort-appropriate imagery. In Steps 5 and 6, we planned Statewide implementation and designed a randomised controlled trial to evaluate the leaflet. This research provides an example of a systematic, evidence-based approach to the development of a simple health intervention designed to promote uptake of screening in accordance with national guidelines. The methods and findings illustrate how Intervention Mapping can be employed to develop tailored retinal screening promotion materials for specific priority populations. This paper has implications for future program planners and is intended to assist those wishing to use Intervention Mapping to create similar theoretically-driven, tailored resources.