School of Information and Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Department of Healthcare Policy & Research, Division of Health Informatics, Weill Cornell Medical College, New York, New York, USA.
J Am Med Inform Assoc. 2018 Aug 1;25(8):1080-1088. doi: 10.1093/jamia/ocy052.
Health informatics interventions are designed to help people avoid, recover from, or cope with disease and disability, or to improve the quality and safety of healthcare. Unfortunately, they pose a risk of producing intervention-generated inequalities (IGI) by disproportionately benefiting more advantaged people. In this perspective paper, we discuss characteristics of health-related interventions known to produce IGI, explain why health informatics interventions are particularly vulnerable to this phenomenon, and describe safeguards that can be implemented to improve health equity. We provide examples in which health informatics interventions produced inequality because they were more accessible to, heavily used by, adhered to, or effective for those from socioeconomically advantaged groups. We provide a brief outline of precautions that intervention developers and implementers can take to guard against creating or worsening inequality through health informatics. We conclude by discussing evaluation approaches that will ensure that IGIs are recognized and studied.
健康信息学干预旨在帮助人们避免、从疾病和残疾中恢复或应对疾病和残疾,或提高医疗保健的质量和安全性。不幸的是,它们通过不成比例地使更有利的人受益,从而带来产生干预产生的不平等(IGI)的风险。在本观点文章中,我们讨论了已知会产生 IGI 的与健康相关的干预措施的特征,解释了健康信息学干预措施为何特别容易受到这种现象的影响,并描述了可以实施的保障措施来改善健康公平。我们提供了一些例子,其中健康信息学干预措施产生了不平等,因为它们更容易被那些来自社会经济地位较高的群体获得、大量使用、坚持或对其有效。我们简要概述了干预措施的开发者和实施者可以采取的预防措施,以防止通过健康信息学造成或加剧不平等。最后,我们讨论了可以确保识别和研究 IGI 的评估方法。