Weill Cornell Medicine, New York, NY.
University of Alabama at Birmingham, Birmingham, AL.
Med Care. 2021 Apr 1;59(4):334-340. doi: 10.1097/MLR.0000000000001470.
Previous studies have suggested that highly fragmented ambulatory care increases the risk of subsequent hospitalization, but those studies used claims only and were not able to adjust for many clinical potential confounders.
The objective of this study was to determine the association between fragmented ambulatory care and subsequent hospitalization, adjusting for demographics, medical conditions, medications, health behaviors, psychosocial variables, and physiological variables.
Longitudinal analysis of data (2003-2016) from the nationwide REasons for Geographic And Racial Differences in Stroke (REGARDS) study, linked to Medicare fee-for-service claims.
A total of 12,693 Medicare beneficiaries 65 years and older from the REGARDS study who had at least 4 ambulatory visits in the first year of observation and did not have a hospitalization in the prior year.
We defined high fragmentation as a reversed Bice-Boxerman score above the 75th percentile. We used Cox proportional hazards models to determine the association between fragmentation as a time-varying exposure and incident hospitalization in the 3 months following each exposure period.
The mean age was 70.4 years; 54% were women, and 33% were African American. During the first year of observation, participants with high fragmentation had a median of 8 ambulatory visits with 6 providers, whereas participants with low fragmentation had a median of 7 visits with 3 providers. Over 11.8 years of follow-up, 6947 participants (55%) had a hospitalization. High fragmentation was associated with an increased hazard of hospitalization (adjusted hazard ratio=1.18; 95% confidence interval: 1.12, 1.24).
Highly fragmented ambulatory care is an independent risk factor for hospitalization.
先前的研究表明,门诊护理高度碎片化会增加随后住院的风险,但这些研究仅使用了索赔数据,并且无法调整许多临床潜在混杂因素。
本研究旨在确定门诊护理碎片化与随后住院之间的关联,同时调整人口统计学、医疗状况、药物、健康行为、心理社会变量和生理变量。
对来自全国范围的地理和种族差异中风原因研究(REGARDS)的数据(2003-2016 年)进行纵向分析,该研究与医疗保险按服务收费索赔相关联。
REGARDS 研究中共有 12693 名至少在观察的第一年有 4 次门诊就诊且在前一年没有住院的 65 岁及以上的医疗保险受益人。
我们将高碎片化定义为反向 Bice-Boxerman 评分高于第 75 百分位数。我们使用 Cox 比例风险模型来确定碎片化作为时间变化的暴露与每个暴露期后 3 个月内发生住院的关联。
平均年龄为 70.4 岁;54%为女性,33%为非裔美国人。在观察的第一年,碎片化程度较高的参与者中位数有 8 次门诊就诊,涉及 6 名提供者,而碎片化程度较低的参与者中位数有 7 次门诊就诊,涉及 3 名提供者。在 11.8 年的随访期间,6947 名参与者(55%)住院。高度碎片化与住院的风险增加相关(调整后的危险比=1.18;95%置信区间:1.12,1.24)。
高度碎片化的门诊护理是住院的独立危险因素。