PDF(Pubmed)
Abstract：
BACKGROUND: The COVID-19 pandemic has sharpened the focus on health care safety and quality, underscoring the importance of using standardized metrics such as the International Classification of Diseases, Tenth Revision (ICD-10). In this regard, the ICD-10 cluster Y62-Y69 serves as a proxy assessment of safety and quality in health care systems, allowing researchers to evaluate medical misadventures. Thus far, extensive research and reports support the need for more attention to safety and quality in health care. The study aims to leverage the pandemic\'s unique challenges to explore health care safety and quality trends during prepandemic, intrapandemic, and postpandemic phases, using the ICD-10 cluster Y62-Y69 as a key tool for their evaluation.
OBJECTIVE: This research aims to perform a comprehensive retrospective analysis of incidence rates associated with ICD-10 cluster Y62-Y69, capturing both linear and nonlinear trends across prepandemic, intrapandemic, and postpandemic phases over an 8-year span. Therefore, it seeks to understand how these trends inform health care safety and quality improvements, policy, and future research.
METHODS: This study uses the extensive data available through the TriNetX platform, using an observational, retrospective design and applying curve-fitting analyses and quadratic models to comprehend the relationships between incidence rates over an 8-year span (from 2015 to 2023). These techniques will enable the identification of nuanced trends in the data, facilitating a deeper understanding of the impacts of the COVID-19 pandemic on medical misadventures. The anticipated results aim to outline complex patterns in health care safety and quality during the COVID-19 pandemic, using global real-world data for robust and generalizable conclusions. This study will explore significant shifts in health care practices and outcomes, with a special focus on geographical variations and key clinical conditions in cardiovascular and oncological care, ensuring a comprehensive analysis of the pandemic\'s impact across different regions and medical fields.
RESULTS: This study is currently in the data collection phase, with funding secured in November 2023 through the Ricerca Corrente scheme of the Italian Ministry of Health. Data collection via the TriNetX platform is anticipated to be completed in May 2024, covering an 8-year period from January 2015 to December 2023. This dataset spans pre-pandemic, intra-pandemic, and early post-pandemic phases, enabling a comprehensive analysis of trends in medical misadventures using the ICD-10 cluster Y62-Y69. The final analytics are anticipated to be completed by June 2024. The study\'s findings aim to provide actionable insights for enhancing healthcare safety and quality, reflecting on the pandemic\'s transformative impact on global healthcare systems.
CONCLUSIONS: This study is anticipated to contribute significantly to health care safety and quality literature. It will provide actionable insights for health care professionals, policy makers, and researchers. It will highlight critical areas for intervention and funding to enhance health care safety and quality globally by examining the incidence rates of medical misadventures before, during, and after the pandemic. In addition, the use of global real-world data enhances the study\'s strength by providing a practical view of health care safety and quality, paving the way for initiatives that are informed by data and tailored to specific contexts worldwide. This approach ensures the findings are applicable and actionable across different health care settings, contributing significantly to the global understanding and improvement of health care safety and quality.
UNASSIGNED: PRR1-10.2196/54838.
OBJECTIVE: This research aims to perform a comprehensive retrospective analysis of incidence rates associated with ICD-10 cluster Y62-Y69, capturing both linear and nonlinear trends across prepandemic, intrapandemic, and postpandemic phases over an 8-year span. Therefore, it seeks to understand how these trends inform health care safety and quality improvements, policy, and future research.
METHODS: This study uses the extensive data available through the TriNetX platform, using an observational, retrospective design and applying curve-fitting analyses and quadratic models to comprehend the relationships between incidence rates over an 8-year span (from 2015 to 2023). These techniques will enable the identification of nuanced trends in the data, facilitating a deeper understanding of the impacts of the COVID-19 pandemic on medical misadventures. The anticipated results aim to outline complex patterns in health care safety and quality during the COVID-19 pandemic, using global real-world data for robust and generalizable conclusions. This study will explore significant shifts in health care practices and outcomes, with a special focus on geographical variations and key clinical conditions in cardiovascular and oncological care, ensuring a comprehensive analysis of the pandemic\'s impact across different regions and medical fields.
RESULTS: This study is currently in the data collection phase, with funding secured in November 2023 through the Ricerca Corrente scheme of the Italian Ministry of Health. Data collection via the TriNetX platform is anticipated to be completed in May 2024, covering an 8-year period from January 2015 to December 2023. This dataset spans pre-pandemic, intra-pandemic, and early post-pandemic phases, enabling a comprehensive analysis of trends in medical misadventures using the ICD-10 cluster Y62-Y69. The final analytics are anticipated to be completed by June 2024. The study\'s findings aim to provide actionable insights for enhancing healthcare safety and quality, reflecting on the pandemic\'s transformative impact on global healthcare systems.
CONCLUSIONS: This study is anticipated to contribute significantly to health care safety and quality literature. It will provide actionable insights for health care professionals, policy makers, and researchers. It will highlight critical areas for intervention and funding to enhance health care safety and quality globally by examining the incidence rates of medical misadventures before, during, and after the pandemic. In addition, the use of global real-world data enhances the study\'s strength by providing a practical view of health care safety and quality, paving the way for initiatives that are informed by data and tailored to specific contexts worldwide. This approach ensures the findings are applicable and actionable across different health care settings, contributing significantly to the global understanding and improvement of health care safety and quality.
UNASSIGNED: PRR1-10.2196/54838.
摘要：
背景：COVID-19大流行加强了对医疗保健安全和质量的关注，强调使用国际疾病分类等标准化指标的重要性，第十次修订(ICD-10)。在这方面,ICD-10集群Y62-Y69作为卫生保健系统的安全性和质量的代理评估，允许研究人员评估医疗事故。到目前为止,广泛的研究和报告支持需要更多关注卫生保健的安全和质量。该研究旨在利用大流行的独特挑战来探索大流行期间的医疗保健安全和质量趋势，流行病内，大流行后阶段，使用ICD-10簇Y62-Y69作为其评估的关键工具。
目的：本研究旨在对与ICD-10群集Y62-Y69相关的发病率进行全面的回顾性分析，以捕捉整个疾病前期的线性和非线性趋势，流行病内，和大流行后8年的阶段。因此,它试图了解这些趋势如何为医疗保健安全和质量改进提供信息，政策,和未来的研究。
方法：本研究使用TriNetX平台提供的大量数据，使用观测，回顾性设计并应用曲线拟合分析和二次模型来理解8年(2015年至2023年)发病率之间的关系.这些技术将能够识别数据中细微的趋势，有助于更深入地了解COVID-19大流行对医疗事故的影响。预期的结果旨在概述COVID-19大流行期间医疗保健安全和质量的复杂模式，使用全球现实世界数据得出稳健和可推广的结论。这项研究将探讨医疗保健实践和结果的重大转变，特别关注心血管和肿瘤护理中的地理变化和关键临床状况，确保全面分析大流行在不同地区和医疗领域的影响。
结果：这项研究目前处于数据收集阶段，通过意大利卫生部的RicercaCorrente计划于2023年11月获得资金。通过TriNetX平台进行的数据收集预计将于2024年5月完成，涵盖2015年1月至2023年12月的8年时间。这个数据集跨越大流行前，大流行内部，以及大流行后的早期阶段，能够使用ICD-10群集Y62-Y69全面分析医疗事故的趋势。最终分析预计将于2024年6月完成。这项研究的发现旨在为提高医疗安全和质量提供可行的见解，反思大流行对全球医疗体系的变革性影响。
结论：本研究预计将为卫生保健安全和质量文献做出重大贡献。它将为医疗保健专业人员提供可行的见解，政策制定者,和研究人员。它将强调干预和资金的关键领域，以通过检查医疗事故的发生率来提高全球医疗安全和质量，during,在大流行之后。此外,全球现实世界数据的使用通过提供医疗保健安全和质量的实用观点来增强研究的力量，为由数据提供信息并适合全球具体情况的举措铺平道路。这种方法可确保调查结果在不同的医疗保健环境中适用和可行。为全球对医疗保健安全和质量的理解和改进做出了重大贡献。
■PRR1-10.2196/54838。
目的：本研究旨在对与ICD-10群集Y62-Y69相关的发病率进行全面的回顾性分析，以捕捉整个疾病前期的线性和非线性趋势，流行病内，和大流行后8年的阶段。因此,它试图了解这些趋势如何为医疗保健安全和质量改进提供信息，政策,和未来的研究。
方法：本研究使用TriNetX平台提供的大量数据，使用观测，回顾性设计并应用曲线拟合分析和二次模型来理解8年(2015年至2023年)发病率之间的关系.这些技术将能够识别数据中细微的趋势，有助于更深入地了解COVID-19大流行对医疗事故的影响。预期的结果旨在概述COVID-19大流行期间医疗保健安全和质量的复杂模式，使用全球现实世界数据得出稳健和可推广的结论。这项研究将探讨医疗保健实践和结果的重大转变，特别关注心血管和肿瘤护理中的地理变化和关键临床状况，确保全面分析大流行在不同地区和医疗领域的影响。
结果：这项研究目前处于数据收集阶段，通过意大利卫生部的RicercaCorrente计划于2023年11月获得资金。通过TriNetX平台进行的数据收集预计将于2024年5月完成，涵盖2015年1月至2023年12月的8年时间。这个数据集跨越大流行前，大流行内部，以及大流行后的早期阶段，能够使用ICD-10群集Y62-Y69全面分析医疗事故的趋势。最终分析预计将于2024年6月完成。这项研究的发现旨在为提高医疗安全和质量提供可行的见解，反思大流行对全球医疗体系的变革性影响。
结论：本研究预计将为卫生保健安全和质量文献做出重大贡献。它将为医疗保健专业人员提供可行的见解，政策制定者,和研究人员。它将强调干预和资金的关键领域，以通过检查医疗事故的发生率来提高全球医疗安全和质量，during,在大流行之后。此外,全球现实世界数据的使用通过提供医疗保健安全和质量的实用观点来增强研究的力量，为由数据提供信息并适合全球具体情况的举措铺平道路。这种方法可确保调查结果在不同的医疗保健环境中适用和可行。为全球对医疗保健安全和质量的理解和改进做出了重大贡献。
■PRR1-10.2196/54838。
