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INTRODUCTION: Comprehensive and standardized colonoscopy reports are crucial in colorectal cancer prevention, monitoring, and research. This study investigates adherence to national and international guidelines by analyzing reporting practices among 21 endoscopists in 7 German centers, with a focus on polyp reporting. METHODS: We identified and assessed German, European, American, and World Health Organization-provided statements to identify key elements in colonoscopy reporting. Board-certified gastroenterologists rated the relevance of each element and estimated their reporting frequency. Adherence to the identified report elements was evaluated for 874 polyps from 351 colonoscopy reports ranging from March 2021 to March 2022. RESULTS: We identified numerous recommendations for colonoscopy reporting. We categorized the reasoning behind those recommendations into clinical relevance, justification, and quality control and research. Although all elements were considered relevant by the surveyed gastroenterologists, discrepancies were observed in the evaluated reports. Particularly diminutive polyps or attributes which are rarely abnormal (e.g., surface integrity) respectively rarely performed (e.g., injection) were sparsely documented. Furthermore, the white light morphology of polyps was inconsistently documented using either the Paris classification or free text. In summary, the analysis of 874 reported polyps revealed heterogeneous adherence to the recommendations, with reporting frequencies ranging from 3% to 89%. CONCLUSION: The inhomogeneous report practices may result from implicit reporting practices and recommendations with varying clinical relevance. Future recommendations should clearly differentiate between clinical relevance and research and quality control or explanatory purposes. Additionally, the role of computer-assisted documentation should be further evaluated to increase report frequencies of non-pathological findings and diminutive polyps.
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Pólipos del Colon , Colonoscopía , Neoplasias Colorrectales , Adhesión a Directriz , Humanos , Colonoscopía/normas , Colonoscopía/estadística & datos numéricos , Colonoscopía/métodos , Adhesión a Directriz/estadística & datos numéricos , Pólipos del Colon/patología , Pólipos del Colon/diagnóstico , Alemania , Neoplasias Colorrectales/diagnóstico , Neoplasias Colorrectales/patología , Guías de Práctica Clínica como Asunto , Pautas de la Práctica en Medicina/estadística & datos numéricos , Pautas de la Práctica en Medicina/normas , Mejoramiento de la Calidad , Gastroenterólogos/estadística & datos numéricos , Gastroenterólogos/normas , Documentación/normas , Documentación/estadística & datos numéricos , Documentación/métodosRESUMEN
BACKGROUND : Reliable documentation is essential for maintaining quality standards in endoscopy; however, in clinical practice, report quality varies. We developed an artificial intelligence (AI)-based prototype for the measurement of withdrawal and intervention times, and automatic photodocumentation. METHOD: A multiclass deep learning algorithm distinguishing different endoscopic image content was trained with 10â557 images (1300 examinations, nine centers, four processors). Consecutively, the algorithm was used to calculate withdrawal time (AI prediction) and extract relevant images. Validation was performed on 100 colonoscopy videos (five centers). The reported and AI-predicted withdrawal times were compared with video-based measurement; photodocumentation was compared for documented polypectomies. RESULTS: Video-based measurement in 100 colonoscopies revealed a median absolute difference of 2.0 minutes between the measured and reported withdrawal times, compared with 0.4 minutes for AI predictions. The original photodocumentation represented the cecum in 88 examinations compared with 98/100 examinations for the AI-generated documentation. For 39/104 polypectomies, the examiners' photographs included the instrument, compared with 68 for the AI images. Lastly, we demonstrated real-time capability (10 colonoscopies). CONCLUSION : Our AI system calculates withdrawal time, provides an image report, and is real-time ready. After further validation, the system may improve standardized reporting, while decreasing the workload created by routine documentation.
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Inteligencia Artificial , Endoscopía Gastrointestinal , Humanos , Colonoscopía , Algoritmos , DocumentaciónRESUMEN
Social participation, also termed stakeholder voice, is an important component of health system governance. Increased interactions between the community and policy makers could facilitate a more responsive health system that targets the needs of the community better. Recently, the World Health Organization (WHO) published a handbook on social participation that identified five key themes for ministries of health to consider when engaging the input of the community. In this rapid systematic literature review, we aimed to identify quantitative and qualitative measures that have been used to assess aspects of social participation involving people and policy makers. We identified 172 measures from 48 studies from countries in all six WHO regions. These measures were categorized by all five themes from the handbook on social participation and these measures are linked to 27 concepts. This rapid review found that the focus of measures is largely on the existence of participation-be it by the general population or specific vulnerable groups-rather than on the quality of their participation. The measures in this inventory may be useful for ministries of health and other key stakeholders to use when developing methods to assess and encourage social participation in their context.