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Adaptation and adolopment of guidelines in the Czech Republic

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F22%3A00126849" target="_blank" >RIV/00216224:14110/22:00126849 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Adaptation and adolopment of guidelines in the Czech Republic

  • Popis výsledku v původním jazyce

    Background Clinical guidelines (CGs) aim to assist stakeholders in healthcare decision-making. However, most organisations do not have enough resources for developing high-quality CGs. Adapting existing CGs becomes an efficient way. Given that published adapted CGs are generally of low quality, poorly reported, and not based on CG adaptation frameworks, there is a pressing need to optimise the reporting and methodology used for CG adaptation. Objective The objective is that the audience gets exposed to recent developments and experiences in guideline adaptation; including challenges and potential solutions. The speakers of this session come from organizations including the Czech National Centre for Evidence-Based Healthcare and Knowledge Translation, Iberoamerican Cochrane Center, McMaster University, and the MAGIC Evidence Ecosystem Foundation. Content of presentations The session will include presentations from researchers with experience in the real-life adaptation of guidelines, both in Europe and Africa, using different methodologies, in projects on-going and completed. Two of the presenters have developed new tools and resources that will be clearly of interest of the audience, as they will part of the adaptation ecosystem in the coming years; recommendation maps and a checklist for the reporting of adapted guidelines. The session will include discussion with the panellists and a reflection on what may be the next steps for the guideline adaptation community.

  • Název v anglickém jazyce

    Adaptation and adolopment of guidelines in the Czech Republic

  • Popis výsledku anglicky

    Background Clinical guidelines (CGs) aim to assist stakeholders in healthcare decision-making. However, most organisations do not have enough resources for developing high-quality CGs. Adapting existing CGs becomes an efficient way. Given that published adapted CGs are generally of low quality, poorly reported, and not based on CG adaptation frameworks, there is a pressing need to optimise the reporting and methodology used for CG adaptation. Objective The objective is that the audience gets exposed to recent developments and experiences in guideline adaptation; including challenges and potential solutions. The speakers of this session come from organizations including the Czech National Centre for Evidence-Based Healthcare and Knowledge Translation, Iberoamerican Cochrane Center, McMaster University, and the MAGIC Evidence Ecosystem Foundation. Content of presentations The session will include presentations from researchers with experience in the real-life adaptation of guidelines, both in Europe and Africa, using different methodologies, in projects on-going and completed. Two of the presenters have developed new tools and resources that will be clearly of interest of the audience, as they will part of the adaptation ecosystem in the coming years; recommendation maps and a checklist for the reporting of adapted guidelines. The session will include discussion with the panellists and a reflection on what may be the next steps for the guideline adaptation community.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

  • OECD FORD obor

    30230 - Other clinical medicine subjects

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LTC20031" target="_blank" >LTC20031: Towards an International Network for Evidence-based Research in Clinical Health Research in the Czech Republic</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů