INSERM U1259, Université de Tours, Tours, France.
Univ Rennes, EHESP, CNRS, Inserm, Arènes-UMR 6051, RSMS-U 1309, Rennes, France.
Front Public Health. 2023 May 12;11:1161550. doi: 10.3389/fpubh.2023.1161550. eCollection 2023.
The development of medico-administrative databases over the last few decades has led to an evolution and to a significant production of epidemiological studies on infectious diseases based on retrospective medical data and consumption of care. This new form of epidemiological research faces numerous methodological challenges, among which the assessment of the validity of targeting algorithm. We conducted a scoping review of studies that undertook an estimation of the completeness and validity of French medico-administrative databases for infectious disease epidemiological research. Nineteen validation studies and nine capture-recapture studies were identified. These studies covered 20 infectious diseases and were mostly based on the evaluation of hospital claimed data. The evaluation of their methodological qualities highlighted the difficulties associated with these types of research, particularly those linked to the assessment of their underlying hypotheses. We recall several recommendations relating to the problems addressed, which should contribute to the quality of future evaluation studies based on medico-administrative data and consequently to the quality of the epidemiological indicators produced from these information systems.
过去几十年中，医疗管理数据库的发展导致了传染病的流行病学研究的演变和大量产生，这些研究基于回顾性医疗数据和医疗服务的使用情况。这种新形式的流行病学研究面临着许多方法学挑战，其中包括目标算法的有效性评估。我们对评估法国医疗管理数据库用于传染病流行病学研究的完整性和有效性的研究进行了范围综述。确定了 19 项验证研究和 9 项捕获-再捕获研究。这些研究涵盖了 20 种传染病，主要基于对医院申报数据的评估。对这些研究方法质量的评估突出了与这类研究相关的困难，特别是与评估其基本假设相关的困难。我们回顾了与所解决问题相关的若干建议，这些建议应有助于提高基于医疗管理数据的未来评估研究的质量，从而提高这些信息系统产生的流行病学指标的质量。
