O'Connor Patrick J, Rush William A, Davidson Gestur, Louis Thomas A, Solberg Leif I, Crain Lauren, Johnson Paul E, Whitebird Robin R
HealthPartners Research Foundation, 8100 34th Ave S, Minneapolis, MN 55440-1524, USA.
Prev Chronic Dis. 2008 Jan;5(1):A15. Epub 2007 Dec 15.
We studied variance in glycated hemoglobin (HbA1c) values among adults with diabetes to identify variation in quality of diabetes care at the levels of patient, physician, and clinic, and to identify which levels contribute the most to variation and which variables at each level are related to quality of diabetes care.
Study subjects were 120 primary care physicians and their 2589 eligible adult patients with diabetes seen at 18 clinics. The dependent variable was HbA1c values recorded in clinical databases. Multivariate hierarchical models were used to partition variation in HbA1c values across the levels of patient, physician, or clinic and to identify significant predictors of HbA1c at each level.
More than 95% of variance in HbA1c values was attributable to the patient level. Much less variance was seen at the physician and clinic level. Inclusion of patient and physician covariates did not substantially change this pattern of results. Intensification of pharmacotherapy (t = -7.40, P < .01) and patient age (t = 2.10, P < .05) were related to favorable change in HbA1c. Physician age, physician specialty, number of diabetes patients per physician, patient comorbidity, and clinic assignment did not predict change in HbA1c value. The overall model with covariates explained 11.8% of change in HbA1c value over time.
These data suggest that most variance in HbA1c values is attributable to patient factors, although physicians play a major role in some patient factors (e.g., intensification of medication). These findings may lead to more effective care-improvement strategies and accountability measures.
我们研究了糖尿病成年患者糖化血红蛋白(HbA1c)值的差异,以确定患者、医生和诊所层面糖尿病护理质量的变化,并确定哪些层面的差异最大,以及每个层面的哪些变量与糖尿病护理质量相关。
研究对象为18家诊所的120名初级保健医生及其2589名符合条件的成年糖尿病患者。因变量是临床数据库中记录的HbA1c值。使用多变量层次模型来划分HbA1c值在患者、医生或诊所层面的差异,并确定每个层面HbA1c的显著预测因素。
HbA1c值超过95%的差异可归因于患者层面。在医生和诊所层面观察到的差异要小得多。纳入患者和医生协变量并没有实质性改变这种结果模式。强化药物治疗(t = -7.40,P <.01)和患者年龄(t = 2.10,P <.05)与HbA1c的有利变化相关。医生年龄、医生专业、每位医生的糖尿病患者数量、患者合并症和诊所分配并不能预测HbA1c值的变化。带有协变量的总体模型解释了HbA1c值随时间变化的11.8%。
这些数据表明,HbA1c值的大部分差异可归因于患者因素,尽管医生在某些患者因素(如强化药物治疗)中起主要作用。这些发现可能会带来更有效的护理改善策略和问责措施。