Antonia M Marsden
Biographic Data
| ID | 2819914 |
|---|---|
| NAME | Antonia M Marsden |
| GIVEN NAMES | Antonia M |
| FAMILY NAME | Marsden |
| SIGNATURE | MARSDEN A M |
| AFFILIATIONS | Manchester Academic Health Science Centre |
| ORCID | 0000-0003-3955-2649 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Exposure to behaviour change techniques and self-management tasks in a nationally-implemented digital intervention for type 2 diabetes self-management
This is the first analysis to quantify engagement with behaviour change techniques and self-management tasks in a 'real-world' digital type 2 diabetes self-management programme. Future work needs to identify how to encourage usage of key material in online interventions, for example, by allowing users greater flexibility to access content they wish to engage with
The influence of mode of remote delivery on health-related quality of life outcome measures in British Sign Language
The results demonstrate that EQ-5D-5L BSL, EQ-VAS BSL, and CORE-10 BSL may be considered as equivalent across modes of remote delivery. This further strengthens the validation of existing standardised assessments in BSL. A BSL version of the abstract is available in Supplementary Video 1
No prominent works on this page.
The influence of mode of remote delivery on health-related quality of life outcome measures in British Sign Language
The results demonstrate that EQ-5D-5L BSL, EQ-VAS BSL, and CORE-10 BSL may be considered as equivalent across modes of remote delivery. This further strengthens the validation of existing standardised assessments in BSL. A BSL version of the abstract is available in Supplementary Video 1
Exposure to behaviour change techniques and self-management tasks in a nationally-implemented digital intervention for type 2 diabetes self-management
This is the first analysis to quantify engagement with behaviour change techniques and self-management tasks in a 'real-world' digital type 2 diabetes self-management programme. Future work needs to identify how to encourage usage of key material in online interventions, for example, by allowing users greater flexibility to access content they wish to engage with
Computer Science (2 works) · Medicine (2 works) · Nursing (2 works) · Psychology (2 works) · Applied Psychology (1 work) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Assistive Technology in Communication and Mobility (1 work) · Asynchronous communication (1 work) · Diabetes Management and Education (1 work)