Division of Rheumatology, Department of Medicine, 12244Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Center for Health Information Partnerships, Institute for Public Health and Medicine, 12244Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Lupus. 2022 Oct;31(12):1516-1522. doi: 10.1177/09612033221116726. Epub 2022 Jul 20.
To determine whether electronic health record (EHR) data components could be identified and used to assess bone health quality indicators in patients with systemic lupus erythematosus as a foundation for population health management.
We identified patients in our EHR system who had diagnosis codes for lupus from 2012 to 2017 and characterized them based on the frequency and dosage of prescribed glucocorticoid medications. The medical records of patients who received repeated high-dose glucocorticoid orders were further reviewed for osteoporosis, osteoporotic fractures, receipt of appropriate preventive screening, and orders for protective medications based on established quality indicators. Descriptive statistics were calculated to summarize results.
We identified 617 patients with a lupus diagnosis; 414 received glucocorticoid prescriptions, 189 received chronic, high-dose; and 83 received chronic, low-dose prescription orders. Of those with chronic high-dose glucocorticoid prescriptions, 14% had an osteoporosis diagnosis, 3% had an osteoporotic fracture, 51% received a prescription for calcium/vitamin D, 43% had bone mineral density screening orders, 20% received a spine radiograph order, 29% had a documented T-score, 12% received a prescription for osteoporosis medication, and 6% had a documented osteoporosis screening. We were able to identify data elements in the EHR for all nine components of the osteoporosis management quality indicator.
It is possible to identify data in the EHR for all attributes of the quality indicator for osteoporosis in lupus patients who receive chronic high-dose glucocorticoids. However, missing data and need to extract data from text-based notes may make development of population management tools challenging.
确定电子健康记录(EHR)数据组件是否可用于评估系统性红斑狼疮患者的骨健康质量指标,以此作为人群健康管理的基础。
我们从 2012 年至 2017 年的 EHR 系统中确定了患有狼疮诊断代码的患者,并根据处方糖皮质激素药物的频率和剂量对其进行了特征描述。对接受重复高剂量糖皮质激素订单的患者的病历进行了进一步审查,以根据已建立的质量指标评估骨质疏松症、骨质疏松性骨折、接受适当预防性筛查和保护性药物的情况。计算了描述性统计数据以总结结果。
我们确定了 617 名患有狼疮诊断的患者;414 名患者接受了糖皮质激素处方,189 名患者接受了慢性、高剂量处方,83 名患者接受了慢性、低剂量处方。在接受慢性高剂量糖皮质激素处方的患者中,14%患有骨质疏松症诊断,3%患有骨质疏松性骨折,51%接受了钙/维生素 D 处方,43%有骨密度筛查订单,20%接受了脊柱 X 光片订单,29%有记录的 T 评分,12%接受了骨质疏松症药物处方,6%有记录的骨质疏松症筛查。我们能够在 EHR 中确定接受慢性高剂量糖皮质激素治疗的狼疮患者骨质疏松症管理质量指标的所有九个组成部分的数据元素。
可以在 EHR 中识别出接受慢性高剂量糖皮质激素治疗的狼疮患者骨质疏松症质量指标的所有属性的数据。但是,数据缺失和需要从基于文本的注释中提取数据可能会使人群管理工具的开发具有挑战性。