Anthony Russell
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Anthony Russell has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
- Carina Vasconcelos Silva
Centre for Health Services Research The University of Queensland Brisbane Queensland Australia
2 shared publications - Dominique Bird
Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
2 shared publications - Monika Janda
Centre for Health Services Research The University of Queensland Brisbane Queensland Australia
2 shared publications - Soraia de Camargo Catapan
Centre for Online Health, The University of Queensland
2 shared publications Anish Menon
Centre for Health Services Research The University of Queensland Brisbane Queensland Australia
1 shared publication- Anish Menon
Centre for Health Services Research, The University of Queensland, Brisbane, Australia; Princess Alexandra Hospital, Metro South Health, Brisbane, Australia
1 shared publication
Latest Publications
- Open Access
- 15 February 2024
- Published by Elsevier in Canadian Journal of Diabetes
- Vol. 48 (4) , 250-258.e2
Working Together to Improve Type 2 Diabetes Care: A Participatory Design Project to Address Identified Needs of People With Diabetes and Their Health-care Professionals
- 15 February 2024
- Published by Elsevier in Canadian Journal of Diabetes
- Vol. 48 (4) , 250-258.e2
Open AccessWorking Together to Improve Type 2 Diabetes Care: A Participatory Design Project to Address Identified Needs of People With Diabetes and Their Health-care Professionals
- Open Access
- 23 June 2022
- Published by Wiley in Diabetic Medicine
- Vol. 39 (9) , e14886
A qualitative analysis of the needs and wishes of people with type 2 diabetes and healthcare professionals for optimal diabetes care
Aim: Globally, type 2 diabetes care is often fragmented and still organised in a provider‐centred way, resulting in suboptimal care for many individuals. As healthcare systems seek to implement digital care innovations, it is timely to reassess stakeholders' priorities to guide the redesign of diabetes care. This study aimed to identify the needs and wishes of people with type 2 diabetes, and specialist and primary care teams regarding optimal diabetes care to explore how to better support people with diabetes in a metropolitan healthcare service in Australia.Methods: Our project was guided by a Participatory Design approach and this paper reports part of the first step, identification of needs. We conducted four focus groups and 16 interviews (November 2019–January 2020) with 17 adults with type 2 diabetes and seven specialist clinicians from a diabetes outpatient clinic in Brisbane, Australia, and seven primary care professionals from different clinics in Brisbane. Data were analysed using reflexive thematic analysis, building on the Capability, Opportunity, Motivation and Behaviour model.Results: People with diabetes expressed the wish to be equipped, supported and recognised for their efforts in a holistic way, receive personalised care at the right time and improved access to connected services. Healthcare professionals agreed and expressed their own burden regarding their challenging work. Overall, both groups desired holistic, personalised, supportive, proactive and coordinated care pathways.Conclusions: We conclude that there is an alignment of the perceived needs and wishes for improved diabetes care among key stakeholders, however, important gaps remain in the healthcare system.
- 23 June 2022
- Published by Wiley in Diabetic Medicine
- Vol. 39 (9) , e14886
Open AccessA qualitative analysis of the needs and wishes of people with type 2 diabetes and healthcare professionals for optimal diabetes care
Aim: Globally, type 2 diabetes care is often fragmented and still organised in a provider‐centred way, resulting in suboptimal care for many individuals. As healthcare systems seek to implement digital care innovations, it is timely to reassess stakeholders' priorities to guide the redesign of diabetes care. This study aimed to identify the needs and wishes of people with type 2 diabetes, and specialist and primary care teams regarding optimal diabetes care to explore how to better support people with diabetes in a metropolitan healthcare service in Australia.Methods: Our project was guided by a Participatory Design approach and this paper reports part of the first step, identification of needs. We conducted four focus groups and 16 interviews (November 2019–January 2020) with 17 adults with type 2 diabetes and seven specialist clinicians from a diabetes outpatient clinic in Brisbane, Australia, and seven primary care professionals from different clinics in Brisbane. Data were analysed using reflexive thematic analysis, building on the Capability, Opportunity, Motivation and Behaviour model.Results: People with diabetes expressed the wish to be equipped, supported and recognised for their efforts in a holistic way, receive personalised care at the right time and improved access to connected services. Healthcare professionals agreed and expressed their own burden regarding their challenging work. Overall, both groups desired holistic, personalised, supportive, proactive and coordinated care pathways.Conclusions: We conclude that there is an alignment of the perceived needs and wishes for improved diabetes care among key stakeholders, however, important gaps remain in the healthcare system.
- Open Access
- 6 May 2022
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 11 (9) , 2611
Corneal Dendritic Cell Dynamics Are Associated with Clinical Factors in Type 1 Diabetes
Time-lapsed in vivo corneal confocal microscopy (IVCCM) has shown that corneal dendritic cells (DCs) migrate at approximately 1 µm/min in healthy humans. We have undertaken IVCCM of the whorl region to compare the density of rounded DCs, and DCs with (wDCs) and without (woDCs) dendrites and dynamics; trajectory (length travelled/time), displacement (distance from origin to endpoint/time) speeds and persistence ratio (displacement/trajectory) of woDCs in subjects with type 1 diabetes (T1D) (n = 20) and healthy controls (n = 10). Only the wDC density was higher (p = 0.02) in subjects with T1D compared to controls. There was no significant difference in cell dynamics between subjects with T1D and controls. woDC density correlated directly with HDL cholesterol (r = 0.59, p = 0.007) and inversely with triglycerides (r = −0.61, p = 0.005), whilst round-shaped cell density correlated inversely with HDL cholesterol (r = −0.54, p = 0.007). Displacement, trajectory, and persistency correlated significantly with eGFR (mL/min) (r = 0.74, p < 0.001; r = 0.48, p = 0.031; r = 0.58, p = 0.008, respectively). We show an increase in wDC density but no change in any other DC sub-type or alteration in cell dynamics in T1D. However, there were associations between DC density and lipid parameters and between DC dynamics and renal function. IVCCM provides evidence of a link between immune cell dynamics with lipid levels and renal function.
- 6 May 2022
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 11 (9) , 2611
Open AccessCorneal Dendritic Cell Dynamics Are Associated with Clinical Factors in Type 1 Diabetes
Time-lapsed in vivo corneal confocal microscopy (IVCCM) has shown that corneal dendritic cells (DCs) migrate at approximately 1 µm/min in healthy humans. We have undertaken IVCCM of the whorl region to compare the density of rounded DCs, and DCs with (wDCs) and without (woDCs) dendrites and dynamics; trajectory (length travelled/time), displacement (distance from origin to endpoint/time) speeds and persistence ratio (displacement/trajectory) of woDCs in subjects with type 1 diabetes (T1D) (n = 20) and healthy controls (n = 10). Only the wDC density was higher (p = 0.02) in subjects with T1D compared to controls. There was no significant difference in cell dynamics between subjects with T1D and controls. woDC density correlated directly with HDL cholesterol (r = 0.59, p = 0.007) and inversely with triglycerides (r = −0.61, p = 0.005), whilst round-shaped cell density correlated inversely with HDL cholesterol (r = −0.54, p = 0.007). Displacement, trajectory, and persistency correlated significantly with eGFR (mL/min) (r = 0.74, p < 0.001; r = 0.48, p = 0.031; r = 0.58, p = 0.008, respectively). We show an increase in wDC density but no change in any other DC sub-type or alteration in cell dynamics in T1D. However, there were associations between DC density and lipid parameters and between DC dynamics and renal function. IVCCM provides evidence of a link between immune cell dynamics with lipid levels and renal function.