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Developing a Framework for Public Involvement in Mathematical and Economic Modelling: Bringing New Dynamism to Vaccination Policy Recommendations.
Staniszewska, Sophie; Hill, Edward M; Grant, Richard; Grove, Peter; Porter, Jarina; Shiri, Tinevimbo; Tulip, Sue; Whitehurst, Jane; Wright, Claire; Datta, Samik; Petrou, Stavros; Keeling, Matt.
Afiliação
  • Staniszewska S; Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK. Sophie.Staniszewska@warwick.ac.uk.
  • Hill EM; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK.
  • Grant R; Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
  • Grove P; Department of Health, London, UK.
  • Porter J; Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
  • Shiri T; Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
  • Tulip S; Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
  • Whitehurst J; Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
  • Wright C; Meningitis Research Foundation, Bristol, BS1 1LT, UK.
  • Datta S; Population Modelling, National Institute of Water and Atmospheric Research Ltd (NIWA), Wellington, New Zealand.
  • Petrou S; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Keeling M; Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Patient ; 14(4): 435-445, 2021 07.
Article em En | MEDLINE | ID: mdl-33462773
ABSTRACT

OBJECTIVES:

The Mathematical and Economic Modelling for Vaccination and Immunisation Evaluation (MEMVIE) programme aimed to explore, capture and support the potential contribution of the public to mathematical and economic modelling, in order to identify the values that underpin public involvement (PI) in modelling and co-produce a framework that identifies the nature and type of PI in modelling and supports its implementation.

METHODS:

We established a PI Reference Group, who worked collaboratively with the academic contributors to create a deliberative knowledge space, which valued different forms of knowledge, expertise and evidence. Together, we explored the key steps of mathematical and economic methods in 21 meetings during 2015-2020. These deliberations generated rich discussion, through which we identified potential points of public contribution and the values that underpin PI in modelling. We iteratively developed a framework to guide future practice of PI in modelling.

RESULTS:

We present the MEMVIE Public Involvement Framework in two forms a short form to summarise key elements, and a long form framework to provide a detailed description of each potential type of public contribution at each stage of the modelling process. At a macro level, the public can contribute to reviewing context, reviewing relevance, assessing data and justifying model choice, troubleshooting, and interpreting and reviewing outcomes and decision making. The underpinning values that drive involvement include the public contributing to the validity of the model, potentially enhancing its relevance, utility and transparency through diverse inputs, and enhancing the credibility, consistency and continuous development through scrutiny, in addition to contextualising the model within a wider societal view. DISCUSSION AND

CONCLUSION:

PI in modelling is in its infancy. The MEMVIE Framework is the first attempt to identify potential points of collaborative public contribution to modelling, but it requires further evaluation and refinement that we are undertaking in a subsequent study.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinação / Políticas Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Patient Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinação / Políticas Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Patient Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido