Yukta Sunkara, Seckin O. Ulualp, Kimberly Robinson, Felicity Lenes-Voit, Christopher C. Liu, Ron B. Mitchell
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引用次数: 0
Abstract
Objectives
No-show appointments (NS) lead to a mismatch between supply and expected demand, operational inefficiency, decreased access to care, and economic deficit. We evaluated the predictors and impact of NS on provider productivity in a tertiary pediatric otolaryngology clinic.
Methods
Patients who had a pediatric otolaryngology clinic appointment were identified. Demographics, type of appointment and clinic visit, provider, insurance, appointment lead time, time of the appointment, caregiver income, distance to the clinic, and season of the year were analyzed. Predictors of NS and loss of providers' work-RVUs and revenue were assessed. NS and non-NS populations were compared using χ2 test for categorical variables and Mann–Whitney test for continuous variables. Multivariable analysis was performed with a binary logistics regression model for the prediction of NS.
Results
Of 24,593 appointments, 10,392 (42%) were female, (age median = 5 years) and of the 4627 NS 2016 (44%) were female, (age median = 5 years). Logistic regression identified male (OR: 0.093, 95% CI [0.88–0.99], p = 0.04), Black/African American race (OR: 1.97, 95% CI [1.72–2.26], p < 0.001), spring (OR: 0.88, 95% CI [0.80–0.97], p = 0.007), summer (OR: 0.90, 95% CI [0.83–0.99], p = 0.04), clinic focus-general clinic (OR: 1.32, 95% CI [1.20–1.45], p < 0.001), and appointment lead times of 0–7 days (OR: 0.36, 95% CI [0.29–0.46], p < 0.001), 8–14 days (OR: 0.49, 95% CI [0.39–0.63], p < 0.001), 15–30 days (OR: 0.60, 95% CI [0.47–0.76], p < 0.001) were predictive of NS. The estimated loss of work-RVU ranged from 3852 to 14,820, and the estimated loss of revenue ranged from $276,831 to $959,908 per year.
Conclusions
No-show appointments led to a substantial loss of provider productivity and revenue. Of the multiple demographic and clinic visit determinants associated with high NS rates, appointment lead time can be tested in future studies of strategies to reduce NS.
无预约(NS)导致供给与预期需求之间的不匹配,运营效率低下,获得医疗服务的机会减少以及经济赤字。我们评估了预测因素和NS对三级儿科耳鼻喉科诊所提供者生产力的影响。方法对儿童耳鼻喉科门诊就诊的患者进行分析。分析了人口统计、预约类型和诊所就诊、提供者、保险、预约提前时间、预约时间、护理人员收入、到诊所的距离和一年中的季节。评估了NS和供应商工作- rvus和收入损失的预测因子。分类变量采用χ2检验,连续变量采用Mann-Whitney检验。采用二元logistic回归模型对NS进行多变量分析。结果24,593例预约中,10,392例(42%)为女性(年龄中位数为5岁),4627例(44%)为女性(年龄中位数为5岁)。Logistic回归确定男性(OR: 0.093, 95% CI [0.88 - 0.99], p = 0.04)、黑人/非裔美国人种族(OR: 1.97, 95% CI [1.72-2.26], p = 0.007)、春季(OR: 0.88, 95% CI [0.80-0.97], p = 0.007)、夏季(OR: 0.90, 95% CI [0.83-0.99], p = 0.04)、门诊-普通门诊(OR: 1.32, 95% CI [1.20-1.45], p < 0.001)、预约提前时间为0-7天(OR: 0.36, 95% CI [0.29-0.46], p < 0.001)、8-14天(OR: 0.49, 95% CI [0.39-0.63], p < 0.001)、15-30天(OR: 0.04)。0.60, 95% CI [0.47-0.76], p < 0.001)预测NS。估计每年损失的工作- - rvu为3852至14,820,收入损失为276,831至959,908美元。缺席预约导致了提供者生产力和收入的巨大损失。在与高NS率相关的多种人口统计学和诊所访问决定因素中,预约提前时间可以在未来降低NS的策略研究中进行测试。证据级别4