Validating a framework to guide the implementation of high-quality virtual primary care: an international eDelphi study protocol
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Updated: Jul 9, 2025

Virtual Prism Adaptation Therapy: Protocol for Validation in Healthy Adults
Published on: February 12, 2020
Joana Miguel Carvalho1, Edmond Li2, Benedict Hayhoe1
1Department of Primary Care and Public Health, Imperial College London, London, UK.
Background:
There is an urgent need to support primary care organisations in implementing safe and high-quality virtual consultations. We have previously performed qualitative research to capture the views of 1600 primary care physicians across 20 countries on the main benefits and challenges of using virtual consultations. Subsequently, a prototype of a framework to guide the implementation of high-quality virtual primary care was developed.
Aim:
To explore general practitioners' perspectives on the appropriateness and relevance of each component of the framework's prototype, to further refine it and optimise its practical use in primary care facilities.
Methods And Analysis:
Participants will be primary care physicians with active experience providing virtual care, recruited through convenience and snowball sampling. This study will use a systematic and iterative online Delphi research approach (eDelphi), with a minimum of three rounds. A pre-round will be used to circulate items for initial feedback and adjustment. In subsequent rounds, participants will be asked to rate the relevance of the framework's components. Consensus will be defined as >70% of participants agreeing/strongly agreeing or disagreeing/strongly disagreeing with a component. Data will be collected using structured online questionnaires. The primary outcome of the study will be a list of the essential components to be incorporated in the final version of the framework.
Ethics And Dissemination:
The study has received ethical approval conceded by the Imperial College London Science, Engineering and Technology Research Ethics Committee (SETREC) (reference no .6559176/2023). Anonymous results will be made available to the public, academic organisations and policymakers.
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