Abstract
Obesity is a significant global risk factor for cardiovascular disease (CVD) and attributed to two-thirds of mortality linked to CVD worldwide. Expert position papers call for clinicians to screen for, identify, and treat this modifiable CVD risk factor. However, there is reluctance by many clinicians to initiate often-challenging clinical conversations. For researchers, identifying a robust methodology to collect sensitive data within this area can be difficult. One such methodology is factorial survey design, which incorporates variables of interest into clinical vignettes, which are then disseminated as a survey. Vignettes that replicate the realities of practice have been extensively authenticated through international studies and are particularly appropriate when exploring sensitive topics. This methods paper discusses implementing factorial design within an Internet-Mediated platform using an innovative and original approach of also embedding photographs within clinical vignettes. The recruitment of a large and complete, multiprofessional dataset (n = 427) indicated that clinicians engaged easily with the Internet Mediated platform and viewed virtual vignettes with integrated patient photographs as authentic, reflecting the complexities of clinical practice.
| Original language | English |
|---|---|
| Pages (from-to) | 1-10 |
| Number of pages | 11 |
| Journal | european journal of Cardiovascular Nursing |
| Early online date | 19 Jun 2026 |
| DOIs | |
| Publication status | Published online - 19 Jun 2026 |
Bibliographical note
© The Author(s) 2026. Published by Oxford University Press on behalf of the European Society of Cardiology.Data Availability Statement
The purpose of this paper is to describe a methodology for investigating decision making. Only small amounts of data were required to illustrate this. It is not a results paper.Funding
Funding for establishing and maintaining the Project Implicit virtual platform and the use of the Copyrighted Body Scale Guide was provided by The Institute of Nursing & Health Science Ulster University.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- obesity
- cardiovascular diseases
- heart disease risk factors
- internet
- mortality
- health care decision making
- datasets
- obesity management
- chronic venous disease
- consensus statement
- Factorial Design survey enhancement
- Multiprofessional
- Obesity
- Original research
- Positive engagement
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