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健康服务研究中预测模型的可重复性。

Reproducibility of prediction models in health services research.

机构信息

Meta-Research Innovation Center Berlin, QUEST Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Center for Evidence Synthesis in Health, School of Public Health, Brown University, Providence, RI, USA.

出版信息

BMC Res Notes. 2022 Jun 11;15(1):204. doi: 10.1186/s13104-022-06082-4.

Abstract

The field of health services research studies the health care system by examining outcomes relevant to patients and clinicians but also health economists and policy makers. Such outcomes often include health care spending, and utilization of care services. Building accurate prediction models using reproducible research practices for health services research is important for evidence-based decision making. Several systematic reviews have summarized prediction models for outcomes relevant to health services research, but these systematic reviews do not present a thorough assessment of reproducibility and research quality of the prediction modelling studies. In the present commentary, we discuss how recent advances in prediction modelling in other medical fields can be applied to health services research. We also describe the current status of prediction modelling in health services research, and we summarize available methodological guidance for the development, update, external validation and systematic appraisal of prediction models.

摘要

卫生服务研究领域通过考察与患者和临床医生相关但也与卫生经济学家和政策制定者相关的结果来研究医疗保健系统。此类结果通常包括医疗保健支出和医疗服务的利用。使用可重现的研究实践为卫生服务研究建立准确的预测模型对于基于证据的决策制定很重要。有几项系统评价总结了与卫生服务研究相关的结果的预测模型,但这些系统评价并未全面评估预测建模研究的可重复性和研究质量。在本评论中,我们讨论了其他医学领域中预测模型的最新进展如何应用于卫生服务研究。我们还描述了卫生服务研究中预测模型的现状,并总结了用于开发、更新、外部验证和系统评价预测模型的现有方法学指南。

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