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首页> 外文期刊>Shiraz E Medical Journal >Missed Appointments: Factors Contributing to Patient No-Show in Outpatient Hospital Clinics in Tehran, Iran
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Missed Appointments: Factors Contributing to Patient No-Show in Outpatient Hospital Clinics in Tehran, Iran

机译:错过的约会:伊朗德黑兰门诊医院诊所患者缺席的原因

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Patient no-show in scheduled appointments is a major challenge for outpatient clinics. It negatively affects the efficiency, accessibility, and delivery of healthcare. This study was conducted to investigate the prevalence and potential predictors of patient no-show in outpatient clinics of a general and teaching hospital in Tehran, Iran.In this cross-sectional study, all outpatients who had scheduled appointments from March 20, 2016 to March 20, 2017 were included in the study (N = 148,077). Independent two-sample t-test and the Chi-square test were used for comparing the variables in the two groups-attending and no-show patients. Logistic regression was used to analyze predictors of no-show. The no-show rate was 50.1%. General practice (80.3 %) and nephrology (40.1%) clinics had the highest and the lowest no-show rates, respectively. The mean lead time of appointments was 10.2 (?± 14.7) days, while the average lead times for no-show and attending patients were 11.7 (?± 15.6) and 8.8 (?± 13.7) days respectively (P & 0.001). Lead-time of more than two weeks (OR = 1.80), web-based appointment system (OR = 1.71), interactive voice response appointment system (OR = 1.69), month of appointment (OR = 1.03), and clinic working shift (OR = 0.94) were the predictive variables of patient no-show.Findings indicate that appointment lead time is the main predictor of no show. Therefore, deploying strategies to reduce lead time, such as increasing the number of physicians, increasing working hours, or improving clinic efficiency can improve patient attendance. Other findings suggest that appointment reminders via text message, cancellation policy, and nurse-led telephone triage can be expected to decrease patients no-show.
机译:预约门诊中的患者缺席是门诊诊所面临的主要挑战。它会对医疗保健的效率,可及性和交付产生负面影响。这项研究旨在调查伊朗德黑兰一家综合医院和教学医院的门诊患者未就诊的患病率和潜在预测因素。在这项横断面研究中,所有计划于2016年3月20日至3月就诊的门诊患者2017年20月20日被纳入研究(N = 148,077)。使用独立的两样本t检验和卡方检验来比较两组主治和未入组患者的变量。 Logistic回归用于分析未出现的预测因素。没出现率为50.1%。普通诊所(80.3%)和肾脏病诊所(40.1%)的未出现率分别最高和最低。预约的平均提前期为10.2(?±14.7)天,而未出诊和就诊患者的平均提前期分别为11.7(?±15.6)和8.8(?±13.7)天(P <0.001)。交货期超过两周(OR = 1.80),基于Web的约会系统(OR = 1.71),交互式语音响应约会系统(OR = 1.69),约会月份(OR = 1.03)和诊所工作时间( OR = 0.94)是患者缺席的预测变量。发现表明预约提前期是患者缺席的主要预测因素。因此,部署减少交付周期的策略(例如增加医生人数,增加工作时间或提高诊所效率)可以提高患者出勤率。其他发现表明,通过短信,取消政策和护士主导的电话分类的约会提醒可以减少患者的缺席时间。

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