A scoping review of evidence-based guidance and guidelines published by general practice professional organizations

Abstract

AbstractBackgroundGeneral practitioners (GPs) need robust, up-to-date evidence to deliver high-quality patient care. There is limited literature regarding the role of international GP professional organizations in developing and publishing clinical guidelines to support GPs clinical decision making.ObjectiveTo identify evidence-based guidance and clinical guidelines produced by GP professional organizations and summarize their content, structure, and methods of development and dissemination.MethodsScoping review of GP professional organizations following Joanna Briggs Institute guidance. Four databases were searched and a grey literature search was conducted. Studies were included if they were: (i) evidence-based guidance documents or clinical guidelines produced de novo by a national GP professional organization, (ii) developed to support GPs clinical care, and (iii) published in the last 10 years. GP professional organizations were contacted to provide supplementary information. A narrative synthesis was performed.ResultsSix GP professional organizations and 60 guidelines were included. The most common de novo guideline topics were mental health, cardiovascular disease, neurology, pregnancy and women’s health and preventive care. All guidelines were developed using a standard evidence-synthesis method. All included documents were disseminated through downloadable pdfs and peer review publications. GP professional organizations indicated that they generally collaborate with or endorse guidelines developed by national or international guideline producing bodies.ConclusionThe findings of this scoping review provide an overview of de novo guideline development by GP professional organizations and can support collaboration between GP organizations worldwide thus reducing duplication of effort, facilitating reproducibility, and identifying areas of standardization.Protocol registrationOpen Science Framework: https://doi.org/10.17605/OSF.IO/JXQ26.