Weill Cornell Medicine New York NY.
University of Alabama at Birmingham Birmingham AL.
J Am Heart Assoc. 2021 May 4;10(9):e019036. doi: 10.1161/JAHA.120.019036. Epub 2021 Apr 26.
Background More fragmented ambulatory care (ie, care spread across many providers without a dominant provider) has been associated with excess emergency department and inpatient care. We sought to determine whether more fragmented ambulatory care is associated with an increase in the hazard of incident stroke, overall and stratified by health status and by race. Methods and Results We conducted a secondary analysis of data from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study (2003-2016), including participants aged ≥65 years who had linked Medicare fee-for-service claims and no history of stroke (N=12 510). We measured fragmentation of care with the reversed Bice-Boxerman index. We used Poisson models to determine the association between fragmentation and adjudicated incident stroke. The average age of participants was 70.5 years; 53% were women, 32% were Black participants, and 16% were participants with fair or poor health. Overall, the adjusted rate of incident stroke was similar for high versus low fragmentation (8.2 versus 8.1 per 1000 person-years, respectively; =0.89). Among participants with fair or poor self-rated health, having high versus low fragmentation was associated with a trend toward a higher adjusted rate of incident strokes (14.8 versus 10.4 per 1000 person-years, respectively; =0.067). Among Black participants with fair or poor self-rated health, having high versus low fragmentation was associated with a higher adjusted rate of strokes (19.3 versus 10.3 per 1000 person-years, respectively; =0.02). Conclusions Highly fragmented ambulatory care is independently associated with incident stroke among Black individuals with fair or poor health.
门诊医疗服务碎片化(即,患者在多个医疗机构接受治疗,而没有一个主导提供者)与急诊和住院治疗增加有关。我们试图确定门诊医疗服务碎片化是否与新发中风的风险增加有关,包括根据健康状况和种族进行分层的情况。
我们对 REGARDS(地理和种族差异导致中风的原因)研究(2003-2016 年)的数据进行了二次分析,纳入了有医疗保险费用报销数据且无中风病史的年龄≥65 岁的参与者(N=12510)。我们使用反转 Bice-Boxerman 指数来衡量护理碎片化程度。我们使用泊松模型来确定碎片化与裁定的新发中风之间的关联。参与者的平均年龄为 70.5 岁,53%为女性,32%为黑人,16%为自我报告健康状况不佳或较差的参与者。总体而言,高碎片化与低碎片化相比,调整后的新发中风发生率相似(分别为 8.2 和 8.1 每 1000 人年,=0.89)。在自我报告健康状况不佳或较差的参与者中,高碎片化与调整后的新发中风发生率呈上升趋势相关(分别为 14.8 和 10.4 每 1000 人年,=0.067)。在自我报告健康状况不佳或较差的黑人参与者中,高碎片化与调整后的中风发生率较高相关(分别为 19.3 和 10.3 每 1000 人年,=0.02)。
在自我报告健康状况不佳或较差的黑人个体中,高度碎片化的门诊医疗服务与新发中风独立相关。