Connolly Anna, Kirwan Marcia, Matthews Anne
School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Leinster, Ireland.
HRB Open Res. 2024 Dec 12;6:21. doi: 10.12688/hrbopenres.13706.2. eCollection 2023.
Patient safety is a key issue for health systems and a growing global public health challenge. Administrative healthcare data provide a coded summary of a patient and their encounter with the healthcare system. These aggregated datasets are often used to inform research and decisions relating to health service planning and therefore it is vital that they are accurate and reliable. Given the reported inaccuracy of these datasets for detecting and recording adverse events, there have been calls for validation studies to explore their reliability and investigate further their potential to inform research and health policy. Researchers have since carried out validation studies on the rates of adverse events in administrative data through chart reviews therefore, it seems appropriate to identify and chart the evidence and results of these studies within a scoping review.
The scoping review will be conducted in accordance with the Joanna Briggs Institute (JBI) methodology for scoping reviews. A search of databases such as PubMed, CINAHL, ScienceDirect and Scopus will be conducted in addition to a search of the reference lists of sourced publications and a search for grey literature. Following this, Covidence will be used to screen the sourced publications and subsequently extract data from the included sources. A numerical summary of the literature will be presented in addition to a charting based on the qualitative content analysis of the studies included.
This protocol provides the structure for the conduct of a review to identify and chart the evidence on validation studies on rates of adverse events in administrative healthcare data. This review will aim to identify research gaps, chart the evidence of and highlight any flaws within administrative datasets to improve extraction and coding practices and enable researchers and policy makers to use these data to their full potential.
患者安全是卫生系统的关键问题，也是日益严峻的全球公共卫生挑战。行政医疗保健数据提供了患者及其与医疗保健系统接触情况的编码摘要。这些汇总数据集常被用于为与卫生服务规划相关的研究和决策提供信息，因此确保其准确可靠至关重要。鉴于已报道这些数据集在检测和记录不良事件方面存在不准确之处，有人呼吁开展验证研究以探索其可靠性，并进一步调查其为研究和卫生政策提供信息的潜力。此后，研究人员通过病历审查对行政数据中的不良事件发生率进行了验证研究，因此，在范围综述中识别并梳理这些研究的证据和结果似乎是合适的。
范围综述将按照乔安娜·布里格斯研究所（JBI）的范围综述方法进行。除了搜索来源出版物的参考文献列表和灰色文献外，还将搜索诸如PubMed、CINAHL、ScienceDirect和Scopus等数据库。在此之后，将使用Covidence筛选来源出版物，并随后从纳入的来源中提取数据。除了根据纳入研究的定性内容分析绘制图表外，还将呈现文献的数值摘要。
本方案为开展一项综述提供了框架，以识别并梳理关于行政医疗保健数据中不良事件发生率验证研究的证据。本综述旨在识别研究差距，梳理行政数据集的证据并突出其中的任何缺陷，以改进提取和编码实践，并使研究人员和政策制定者能够充分利用这些数据。
