Adapting the existing guidelines in the context of specific regions can improve the efficiency of guidelines development, and reduce cost and time for developing guidelines. ADOLOPMENT is a methodological tool for guidelines adaptation, which was developed by the GRADE Working Group based on the standardized international guidelines making process. With ADOLOPMENT, developers can effectively use existing guidelines and evidence, avoid duplication of the evidence evaluation, and record the process from evidence to recommendations, which will ensure the transparency of adaptation, help users to understand the process, and improve the acceptability and credibility of guideline adaptation. This paper aims to introduce the ADOLOPMENT and its application.
The focus of health equity is to enable the public to have fair access to health services and achieve satisfactory health outcomes. With research developments, guideline developers increasingly pay more attention to the fairness in the practice guidelines and have carried out exploration and practice in the relevant guidelines. The GRADE working group has begun to investigate how to use GRADE to assess health equity in practice guidelines since 2014. In 2017, the series of methodological guidelines of health equity in guideline development was officially published. It proposed 5 approaches to evaluate health equity and pointed out current methodological challenges of applying GRADE to assess health equity. This paper aims to introduce the GRADE equity guidelines, so as to provide a reference for Chinese researchers in their practice.
Multimorbidity is becoming a major issue in global health due to the increased prevalence of chronic diseases and the accelerated aging of the population. Clinical practice guidelines, as key tools for guiding clinical practice, play an important role in the field of multimorbidity, but also face many challenges. In this paper, we will review the necessity of developing multimorbidity guidelines, the current situation, challenges and opportunities, and on this basis, we will put forward our thoughts and suggestions to promote the development of guidelines in the field of multimorbidity in China.
ObjectiveTo compare the similarities and differences in procedures between Western medicine (WM) and traditional Chinese medicine (TCM) guidelines. MethodsWe systematically searched China National Knowledge Infrastructure, WanFang Data, China Biology Medicine disc and PubMed from inception to May 17, 2022. Supplementary search of reputable medical institutions and organizations, as well as retrospective references were conducted and screened. We extracted and analyzed the basic information and guideline development procedure of the included handbooks. ResultsA total of 10 handbooks published from 2013 to 2022 were included, with four WM handbooks and six TCM handbooks. The median completeness of handbooks was 53.3%, with a maximum of 93.3% and a minimum of 43.3%. There are six handbooks with less than 60.0% completeness. The median reporting rate of the key steps was 65.0%, and the reporting rate of 5/8 of the key steps was more than 80.0%. Among the key reporting steps, role of funders, update methods, and conflict of interest management were reported at a low rate. Compared with WM handbooks, TCM handbooks reflected TCM characteristics in the procedure of topic selection, working groups, conflict of interest declaration and management, clinical questions, evidence, recommendations, report guideline, and external review. ConclusionThe completeness and reporting rate of the key steps need to be improved. TCM characteristics need to be further integrated when developing TCM guideline handbooks. We highly recommend that guideline stakeholders actively participate in handbook development to promote the quality of handbooks.
Large Language Models (LLMs) are highly sophisticated deep learning models pre-trained on massive datasets, with ChatGPT representing a prominent application of LLMs in the field of generative models. Since the release of ChatGPT at the end of 2022, generative chatbots have become widely employed across various medical disciplines. As a crucial discipline guiding clinical practices, the usage of generative chatbots like ChatGPT in Evidence-Based Medicine (EBM) is gradually increasing. However, the potential, challenges, and intricacies of their application in the domain of EBM remain unclear. This paper aims to explore and discuss the prospects, challenges, and considerations associated with the application of ChatGPT in the field of EBM through a review of relevant literature. The discussion spans four aspects: evidence generation, synthesis, assessment, dissemination, and implementation, providing researchers with insights into the latest developments and future research suggestions.
Objectives To investigate the participation of magazines or journals' editors in the clinical practice guidelines in China. Methods WanFang Data, VIP, CNKI, CBM databases, as well as Baidu, Google and www.medlive.cn were searched online to collect incorporated guidelines in which magazines or journal editors participated in. Data was then analyzed. Results In total, 68 guidelines were selected, with 51 (75.00%) led by magazines and 17 (25.00%) edited by editors. 55 guidelines (80.88%) were the same in published and participated journals. Circulatory diseases (27.94%), diagnosis and treatment (54.41%) were the most concerned. 15 guidelines (22.06%) were updated. 17 guidelines reported the roles of the editors who were mostly expert group members (13.24%). 7 guidelines, 3 of which affirmed no relevant conflicts of interest, reported the sponsorship. The quality was higher than the domestic average while lower than the international guidelines. Conclusions The number of clinical practice guidelines magazines or editors participating in China is relatively small, while the quality was higher. The primary form of the participation is journal-led, however, the process, methods, roles, and conflicts of interest in the guidelines require further definition.
ObjectivesTo investigate the awareness and knowledge of Chinese guideline developers on the patient version of guidelines (PVG).MethodsA questionnaire was developed and distributed to participants of the guideline development workshop on the " 2017 Chinese Medical Doctor Association Annual Conference on Evidence-Based Medicine & Gansu Medical Doctor Association/ Gansu Medical Association Annual Conference on Evidence-Based Medicine”, and guideline developers in Shenzhen, Guangzhou, Xi’an, Beijing and other places were investigated through field surveys. The questionnaire included ten questions centred on respondents’ awareness and their views on the development of PVG. After the invalid questionnaire was excluded, Excel 2013 software was used for data entry, and SPSS 19.0 software was used for data analysis.Results150 questionnaires were distributed and 107 (71.3%) were collected, from which 90 (60.0%) questionnaires with complete response were analyzed. For the awareness of PVG: 30.0% of respondents chose " just know it without more knowledge”, 34.4% chose " never heard of”. The awareness was not associated with educational or departmental background, majors and regions (P>0.05). For opinions on PVG and its development process: 86.7% of the respondents thought PVG is necessary, 90% thought the presentation of PVG needs to follow reporting standards, and 45.6% thought the primary barrier of the development of PVG is lack of cognition.ConclusionsResearch work on PVGs is at an initial stage in China. The awareness among Chinese guideline developers and relevant researchers is lacking and the development methodology requires further exploration. Carrying out research relevant to PVG can promote its development and application in China, so as to improve the clinical practice.