Designing Digital Healthcare Professional Surveys: A Methodological Overview

Author(s)

Georgie Nock, BSc1, Sally-Anne Vincent, BSc, MSc2, Samantha Oliver, BSc1.
1Founder and Director, SPARK Evidence, Cheltenham, United Kingdom, 2Director, SPARK Evidence, Cheltenham, United Kingdom.

Presentation Documents

OBJECTIVES: Healthcare professional (HCP) surveys are commonly used in real-world studies to explore clinical practice e.g., standard of care, diagnostic and treatment practices, and to explore the use of measurement tools in clinical settings. Digital platforms provide an efficient means to develop and distribute HCP surveys, particularly when time, cost, or infrastructure are limited. This abstract outlines a general methodological approach to designing and administering HCP surveys using a digital survey platform.
METHODS: A low cost, GDPR compliant digital survey platform is recommended to enable rapid deployment. The proposed approach involves designing a short, structured questionnaire incorporating multiple-choice and Likert-scale items. The survey link can be distributed via professional networks or via email. Ethical approval should be sought prior to data collection. Participation is voluntary, and informed consent is embedded within the form. Key considerations include limiting survey length to reduce burden, piloting for clarity, and ensuring compatibility across devices. Data are collected anonymously in real time and exported securely for analysis.
RESULTS: This methodological approach illustrates how a digital survey platform can be used to design and distribute structured HCP surveys efficiently. It is important to ensure the platform is secure, GDPR compliant, enables anonymous participation, and facilitates real-time export for analysis. In order to ensure the robustness of the data it is also worth getting an independent review board (IRB) to approve the study.
CONCLUSIONS: A digital survey platform can be a viable option for conducting surveys with HCPs when timelines or budgets are limited. Clear planning, ethical oversight, and thoughtful survey design are essential to ensure data quality and relevance.

Conference/Value in Health Info

2025-11, ISPOR Europe 2025, Glasgow, Scotland

Value in Health, Volume 28, Issue S2

Code

SA30

Topic

Methodological & Statistical Research, Study Approaches

Topic Subcategory

Surveys & Expert Panels

Disease

No Additional Disease & Conditions/Specialized Treatment Areas

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