Developing a vignette study in healthcare research involves controlling key variables and creating realistic scenarios to elicit meaningful responses that simulate real-world situations. Here are some top tips for developing a vignette study:

Tip 1: Define the purpose of the vignette

It is important to clearly state what you want the vignette to achieve. Some important questions you may need to ask yourself include: “What am I trying to learn?” or “How will the vignette act within the study design?”. When approaching development, you need to create clear research questions, determine what you want to get out of the vignette, and understand how the vignette will play into the overall study design.

Tip 2: Ensure realistic and relevant scenarios

Realistic vignettes enhance the study’s validity by encouraging participants to respond in a way that they might in real life. Vignettes should include relevant scenarios, and realistic clinical or patient experiences². We recommend presenting vignettes that are meaningful and allow participants to identify with the scenario³.

Tip 3: Control key variables

Controlling key variables ensures internal validity and allows for cross-scenario comparisons. This can be done by manipulating a singular variable, such as patient symptoms, whilst the other details remain the same across all vignettes⁴. This should be done using a structured approach. This method enables researchers to make causal inferences without having to manipulate actual healthcare situations⁵.

Tip 4: Randomize vignette order

Presenting a series of vignettes in a fixed way can introduce order bias. Therefore, to improve study validity and control for order effects, it is important for vignette presentation order to be randomized so that different participants view them in  different sequences⁶. Randomizing different versions of a vignette is also important if there are multiple versions with varying attributes.

Tip 5: Tailor to the audience

Different participant groups will interpret information differently; therefore, it is important to tailor the vignettes to the audience. The language, content, and complexity of the vignette should reflect the participant group; for example, vignettes containing in-depth scientific language would better suit physicians, whereas vignettes with the perspective of caregiving would be more applicable to carers. We also recommend avoiding the use of any unclear or unfamiliar terminology⁷.

To summarize, it is important for vignettes to be developed with the following:

• • Clearly stated purpose
  • Realistic and relevant scenarios
  • Controlled key variables
  • Randomized order
  • Tailored to the participants.

These tips can aid in successfully creating vignettes that help address research objectives and generate robust, realistic data.

At Vitaccess, we have extensive experience in vignette development, validation, and testing. Head to our Publications page to read about a recent example in Duchenne Muscular Dystrophy, or get in touch at info@vitaccess.com.

References

1.Payton KSE and Gould JB, Vignette research methodology: an essential tool for quality improvement collaboratives. Healthcare (Basel).2022;11(1).

2. Tremblay D, Turcotte A, Touati N, et al. Development and use of research vignettes to collect qualitative data from healthcare professionals: A scoping review. BMJ open. 2022;12(1):e057095.

3. Holley J and Gillard S. Developing and using vignettes to explore the relationship between risk management practice and recovery-oriented care in mental health services. Qualitative health research. 2018;28(3):371-380.

4. Jackson M, Harrison P, Swinburn B, Lawrence M. Using a qualitative vignette to explore a complex public health issue. Qualitative health research. 2015;25(10):1395-1409.

5. Hillen MA, Visser LN, Labrie NH, et al. Development of GROVE: A Guideline for RepOrting Vignette Experiments conducted in a healthcare context. Patient Education and Counseling. 2025;136:108750.

6. Auspurg K and Jackle A. First equals most important? Order effects in vignette-based measurement. ISER Working Paper Series, No. 2012-01, University of Essex, Institute for Social and Economic Research (ISER), Colchester.2012

7. Holley J, Gillard S. Developing and using vignettes to explore the relationship between risk management practice and recovery-oriented care in mental health services. Qualitative health research. 2018;28(3):371-380.