Kim Dae Hyun
Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.
Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Ann Geriatr Med Res. 2020 Jun;24(2):62-74. doi: 10.4235/agmr.20.0002. Epub 2020 Apr 3.
Considering the increasing burden and serious consequences of frailty in aging populations, there is increasing interest in measuring frailty in health care databases for clinical care and research. This review synthesizes the latest research on the development and application of 21 frailty measures for health care databases. Frailty measures varied widely in terms of target population (16 ambulatory, 1 long-term care, and 4 inpatient), data source (16 claims-based and 5 electronic health records [EHR]-based measures), assessment period (6 months to 36 months), data types (diagnosis codes required for 17 measures, health service codes for 7 measures, pharmacy data for 4 measures, and other information for 9 measures), and outcomes for validation (clinical frailty for 7 measures, disability for 7 measures, and mortality for 16 measures). These frailty measures may be useful to facilitate frailty screening in clinical care and quantify frailty for large database research in which clinical assessment is not feasible.
鉴于衰弱在老年人群中造成的负担日益加重且后果严重，人们对在医疗保健数据库中测量衰弱以用于临床护理和研究的兴趣与日俱增。本综述综合了关于21种用于医疗保健数据库的衰弱测量方法的开发与应用的最新研究。衰弱测量方法在目标人群（16种适用于门诊患者、1种适用于长期护理、4种适用于住院患者）、数据来源（16种基于索赔数据和5种基于电子健康记录[EHR]的数据测量方法）、评估期（6个月至36个月）、数据类型（17种测量方法需要诊断代码、7种测量方法需要健康服务代码、4种测量方法需要药房数据、9种测量方法需要其他信息）以及验证结果（7种测量方法验证临床衰弱、7种测量方法验证残疾、16种测量方法验证死亡率）等方面差异很大。这些衰弱测量方法可能有助于在临床护理中促进衰弱筛查，并为无法进行临床评估的大型数据库研究量化衰弱程度。
