Cerrone Valentina, Andretta Vincenzo
Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Fisciano, Italy.
Nurs Rep. 2025 Jun 25;15(7):229. doi: 10.3390/nursrep15070229.
: Missed outpatient appointments contribute to care discontinuity and emergency department (ED) overcrowding. This study investigated the association between missed appointments and ED visits, identifying predictors such as patient characteristics, distance from the hospital, and waiting time. : A retrospective analysis was conducted using a dataset of 749,450 scheduled outpatient appointments from adult patients (aged ≥ 18 years). Patients under 18 were excluded. We identified missed appointments and assessed their association with ED visits occurring in the same period. Descriptive statistics, non-parametric tests, and logistic and linear regression models were applied to examine predictors such as age, sex, distance from the hospital, waiting time, the type of service, and medical specialty. : The overall no-show rate was 3.85%. Among patients with missed appointments, 37.3% also visited the ED. An older age (OR = 1.007; = 0.006) and the male gender (OR = 1.498; < 0.001) were significant predictors of having a scheduled appointment before an ED visit. No significant associations were found for distance or specialty branch. : Missed appointments are associated with ED utilization. Predictive factors can inform targeted interventions, such as via improved scheduling systems and personalized reminders. Distance alone may not be a barrier, but system-level solutions are needed to address no-show rates and optimize healthcare resource use.
门诊预约失约导致医疗服务中断和急诊科过度拥挤。本研究调查了预约失约与急诊科就诊之间的关联,确定了诸如患者特征、与医院的距离以及等待时间等预测因素。
使用来自成年患者(年龄≥18岁)的749450次门诊预约数据集进行回顾性分析。排除18岁以下的患者。我们确定了预约失约情况,并评估了其与同期急诊科就诊的关联。应用描述性统计、非参数检验以及逻辑回归和线性回归模型来检验年龄、性别、与医院的距离、等待时间、服务类型和医学专科等预测因素。
总体爽约率为3.85%。在预约失约的患者中,37.3%的人也去过急诊科。年龄较大(OR = 1.007;P = 0.006)和男性(OR = 1.498;P < 0.001)是在急诊科就诊前有预约的显著预测因素。未发现距离或专科分支有显著关联。
预约失约与急诊科利用有关。预测因素可为有针对性的干预措施提供依据,例如通过改进预约系统和个性化提醒。仅距离可能不是障碍,但需要系统层面的解决方案来解决爽约率问题并优化医疗资源利用。