Wilson Bryan J, Foreman Jordan, Riley Julie M
Division of Urology, University of New Mexico School of Medicine, Albuquerque, New Mexico.
Urol Pract. 2018 Nov;5(6):415-420. doi: 10.1016/j.urpr.2017.09.007. Epub 2017 Sep 22.
In this study we elucidated patient characteristics and reasons for visit associated with missed appointments for patients in a multi-provider urology clinic.
We retrospectively reviewed characteristics of clinic patient data for 4 urologists at 0.5 FTE (full-time equivalent) at a single location between March 18, 2014 and March 18, 2015. Data were collected on new and established patients, including age, health insurance status, time of appointment, reason for clinic visit and gender. The reasons for clinic visit were divided into 27 groups. We used chi-square analysis to evaluate statistical significance (p <0.05) based on expected rates for age, gender, time of appointment, season of appointment, health insurance status, benign vs malignant conditions and new or returning visit.
A total of 4,812 clinic visits were analyzed with 999 missed patient appointments for an overall no-show rate of 20.76%. There was no statistically significant difference in the rate of attendance based on patient gender, season of appointment, or morning or afternoon appointment. A statistically significant difference was found in no-show rate between benign and malignant conditions (23.23% vs 8.85%, p <0.01) and whether it was a new or returning patient visit (29.78% vs 16.66%, p <0.01). In addition, there was a statistically significant difference in patients based on insurance status (p <0.01). Patients without insurance had the highest no-show rate and those with private insurance had the lowest (38.53% vs 16.35%).
These data reveal identifiable characteristics associated with missed clinic visits.
在本研究中，我们阐明了多医生泌尿外科诊所患者错过预约就诊的患者特征及就诊原因。
我们回顾性分析了2014年3月18日至2015年3月18日期间，在单一地点工作的4名相当于0.5个全时工作量（FTE）的泌尿科医生的诊所患者数据特征。收集了新患者和复诊患者的数据，包括年龄、健康保险状况、预约时间、就诊原因和性别。就诊原因分为27组。我们使用卡方分析，根据年龄、性别、预约时间、预约季节、健康保险状况、良性与恶性疾病以及新就诊或复诊的预期发生率来评估统计学显著性（p<0.05）。
共分析了4812次诊所就诊，其中999次患者错过预约，总体未到诊率为20.76%。基于患者性别、预约季节或上午或下午预约的就诊率无统计学显著差异。在良性和恶性疾病之间（23.23%对8.85%，p<0.01）以及新就诊或复诊患者之间（29.78%对16.66%，p<0.01），未到诊率存在统计学显著差异。此外，基于保险状况的患者之间也存在统计学显著差异（p<0.01）。无保险患者的未到诊率最高，有私人保险的患者未到诊率最低（38.53%对16.35%）。
这些数据揭示了与错过诊所就诊相关的可识别特征。
