1 Department of Medicine, Weill Cornell Medicine , New York, New York.
2 Department of Healthcare Policy & Research, Weill Cornell Medicine , New York, New York.
Popul Health Manag. 2019 Apr;22(2):138-143. doi: 10.1089/pop.2018.0073. Epub 2018 Aug 16.
Health care fragmentation occurs when patients see multiple ambulatory providers, but no single provider accounts for a substantial proportion of visits. Most previous studies have measured fragmentation in Medicare, which may not be generalizable. The study objective was to compare the extent of fragmented ambulatory care across commercially insured, Medicare, and Medicaid populations. The authors conducted a cross-sectional study of adults (N = 256,047) in the Hudson Valley region of New York, who were continuously insured (through 5 commercial payers, Medicare, or Medicaid), were attributed to a primary care physician, and had ≥4 ambulatory visits in the study year. Fragmentation was calculated using a reversed Bice-Boxerman Index, which captures both dispersion of care across providers and the relative share of visits by each provider. Chi-square tests, t tests, and correlation were used to compare patient characteristics and patterns of care across payers. Patients with Medicare had more chronic conditions (45% had ≥5 chronic conditions) than patients with commercial insurance (20%) or Medicaid (23%) (P < 0.01). However, mean fragmentation scores were comparable across all 3 payer populations: 0.73 (commercial insurance), 0.74 (Medicare), 0.72 (Medicaid). The correlation between number of chronic conditions and fragmentation was weak across payers, ranging from r = 0.004 to r = 0.12. If the extent of fragmentation does not vary with payer type or with the number of chronic conditions, it suggests that the causes of fragmentation may be more numerous and more complex than medical need alone.
当患者看多个门诊提供者,但没有一个提供者负责大部分就诊时,就会出现医疗保健碎片化。大多数先前的研究都在医疗保险中衡量了碎片化,这可能不具有普遍性。该研究的目的是比较商业保险、医疗保险和医疗补助人群中门诊医疗碎片化的程度。作者对纽约哈德逊谷地区的成年人(N=256047 人)进行了一项横断面研究,这些成年人持续受保(通过 5 家商业支付方、医疗保险或医疗补助),被分配给一名初级保健医生,并且在研究年内有≥4 次门诊就诊。使用反向 Bice-Boxerman 指数来衡量碎片化,该指数同时捕捉了护理在提供者之间的分散程度以及每个提供者就诊的相对份额。使用卡方检验、t 检验和相关系数来比较不同支付方的患者特征和护理模式。与商业保险(20%)或医疗补助(23%)患者相比,医疗保险患者有更多的慢性疾病(45%有≥5 种慢性疾病)(P<0.01)。然而,所有 3 个支付方群体的平均碎片化评分相当:商业保险为 0.73,医疗保险为 0.74,医疗补助为 0.72。在不同的支付方中,慢性疾病数量与碎片化之间的相关性较弱,范围从 r=0.004 到 r=0.12。如果碎片化的程度不因支付方类型或慢性疾病数量而变化,则表明碎片化的原因可能比医疗需求本身更为多样和复杂。