Gosha Wojcik
Biographic Data
| ID | 8675319 |
|---|---|
| NAME | Gosha Wojcik |
| GIVEN NAMES | Gosha |
| FAMILY NAME | Wojcik |
| SIGNATURE | WÓJCIK G |
| AFFILIATIONS | Edinburgh Napier University |
| ORCID | 0000-0003-3857-2090 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Co-Designing a Socially Assistive Robot Intervention for Diabetes Self-Management
Over 537 million adults live with diabetes, yet many lack sufficient support for effective self-management, resulting in suboptimal glycaemic levels and rising healthcare costs. Socially assistive robots (SARs) may fill this gap through offering real-time, personalised support. This study explored adults’ views on the design, usability, and acceptability of a SAR-based intervention. A three-phase exploratory co-design approach, guided by the Medi…
Improving antibiotic use in hospitals
OBJECTIVE: To develop a theory-informed behaviour change intervention to promote appropriate hospital antibiotic use, guided by the Medical Research Council's complex interventions framework. METHODS: A phased approach was used, including triangulation of data from meta-ethnography and two qualitative studies. Central to intervention design was the generation of a robust theoretical basis using the Behaviour Change Wheel to identify relevant dete…
No prominent works on this page.
Improving antibiotic use in hospitals
OBJECTIVE: To develop a theory-informed behaviour change intervention to promote appropriate hospital antibiotic use, guided by the Medical Research Council's complex interventions framework. METHODS: A phased approach was used, including triangulation of data from meta-ethnography and two qualitative studies. Central to intervention design was the generation of a robust theoretical basis using the Behaviour Change Wheel to identify relevant dete…
Co-Designing a Socially Assistive Robot Intervention for Diabetes Self-Management
Over 537 million adults live with diabetes, yet many lack sufficient support for effective self-management, resulting in suboptimal glycaemic levels and rising healthcare costs. Socially assistive robots (SARs) may fill this gap through offering real-time, personalised support. This study explored adults’ views on the design, usability, and acceptability of a SAR-based intervention. A three-phase exploratory co-design approach, guided by the Medi…
Antibiotic Use and Resistance (1 works) · Behavior change (1 works) · Coaching (1 works) · Diabetes Management and Education (1 works) · Engineering (1 works) · Exploratory research (1 works) · Focus group (1 works) · Health care (1 works) · Health Policy Implementation Science (1 works) · Intervention (counseling) (1 works)