Guideline adaptation is the systematic approach to the endorsement and/or modification of a guideline(s) produced in one cultural and organizational setting for application in a different context. Adaptation may be used as an alternative to de novo guideline development, e.g., for customizing (an) existing guideline(s) to suit the local context.
The G-I-N Board of Trustees agreed to the development of such a community of interest following two successful workshops held at the G-I-N conference in Lisbon in 2009. Objectives of the community are to promote and stimulate multidisciplinary collaboration in clinical guidelines, and to further facilitate and increase interactions between medical and allied health professionals.
In 2007 Guidelines International Network (G-I-N), in partnership with the National Health and Medical Research Council of Australia established an online community to support collaboration across the field of international emergency care to improve the application of clinical guidelines.
The aim of the Evidence Tables Working Group (ETWG) is to define a minimum data set that should be included in all evidence tables. This could allow the creation of a database of evaluated studies with data presented in a consistent format that G-I-N members could use in their guideline development process to populate their evidence tables using the data directly as presented or slightly modified according to their specific needs.
The main objective of the G-I-N PUBLIC is to support effective patient and public involvement in the development and implementation of clinical practice guidelines. G-I-N PUBLIC offers a forum for exchange between patient and public organisations, CPG developers, and researchers.
Learn about the IWG’s goals, completed project and ongoing plans, and how you can join.
The G-I-N Board of Trustees agreed to establish the Multimorbidity Working Group after considerable interest was shown in the topic at the G-I-N annual conference 2013, held in San Francisco.
"Linking best practices to performance measures".