Center for Value-Based Care Research, Cleveland Clinic Community Care, Cleveland, OH, USA.
Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
J Gen Intern Med. 2021 Aug;36(8):2339-2345. doi: 10.1007/s11606-020-06520-8. Epub 2021 Jan 22.
Identifying which patients receive referrals to and which ones attend weight management programs can provide insights into how physicians manage obesity.
To describe patient factors associated with referrals, which primarily reflect physician priorities, and attendance, which reflects patient priorities. We also examine the influence of the individual physician by comparing adjusted rates of referral and attendance across physicians.
Retrospective cohort study.
Adults with a body mass index (BMI) ≥ 30 kg/m who had a primary care visit between 2015 and 2018 at a large integrated health system MAIN MEASURES: Referrals and visits to programs were collected from the EHR in 2019 and analyzed in 2019-2020. Multilevel logistic regression models were used to identify the association between patient characteristics and (1) receiving a referral, and (2) attending a visit after a referral. We compared physicians' adjusted probabilities of referring patients and of their patients attending a visit.
Our study included 160,163 adults, with a median BMI of 35 kg/m. Seventeen percent of patients received ≥ 1 referral and 29% of those attended a visit. The adjusted odds of referral increased 57% for patients with a BMI 35-39 (versus 30-34) and 32% for each comorbidity (p < 0.01). Attending a visit was less strongly associated with BMI (aOR 1.18 for 35-39 versus 30-34, 95% CI 1.09-1.27) and not at all with comorbidity. For the physician-level analysis, the adjusted probability of referral had a much wider range (0 to 83%; mean = 19%) than did the adjusted probability of attendance (range 27 to 34%).
Few patients attended a weight management program. Physicians vary greatly in their probability of referring patients to programs but not in their patients' probability of attending.
识别哪些患者接受转介以及哪些患者参加体重管理项目,可以深入了解医生如何管理肥胖症。
描述与转介相关的患者因素,这些因素主要反映了医生的重点,以及与患者重点相关的就诊情况。我们还通过比较不同医生的转介和就诊调整率来检查个体医生的影响。
回顾性队列研究。
在大型综合医疗系统就诊的身体质量指数(BMI)≥30kg/m²的成年人,就诊时间为 2015 年至 2018 年。
在 2019 年从电子健康记录(EHR)中收集了 2019 年的转介和项目就诊情况,并在 2019-2020 年进行了分析。使用多水平逻辑回归模型来确定患者特征与(1)收到转介和(2)在收到转介后就诊之间的关联。我们比较了医生调整后的转介患者概率和其患者就诊概率。
我们的研究包括 160163 名成年人,其 BMI 的中位数为 35kg/m²。17%的患者接受了≥1 次转介,其中 29%的患者就诊。BMI 为 35-39(与 30-34 相比)的患者调整后的转介几率增加了 57%,每种合并症的调整后的转介几率增加了 32%(p<0.01)。就诊与 BMI 的关联较弱(35-39 与 30-34 相比,比值比为 1.18,95%置信区间为 1.09-1.27),与合并症完全无关。对于医生水平的分析,调整后的转介概率范围很广(0 到 83%;平均值为 19%),而调整后的就诊概率范围较窄(27 到 34%)。
很少有患者参加体重管理项目。医生在转介患者到项目的概率上差异很大,但在患者就诊的概率上没有差异。