Factors that Affect Patient Wait Times at a Free Clinic.

IF 1.2 4区 医学 Q4 HEALTH POLICY & SERVICES
Eric Min, Ziniya Shah, Tricia Keller, Madeline Howarth, Chinwe Ekeocha, Robert Cooper, Summit H Shah
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引用次数: 0

Abstract

Free clinics may present long wait times. A retrospective chart review was conducted at a free clinic to understand contributing factors. Three wait times (total visit time, lobby wait time, and triage time) were analyzed across 349 patients. Variables included in the models were the total number of patients, providers, and volunteers; interpreter services; social work involvement; medical complexity; new vs. returning patient; scheduled vs. walk-in appointment; transportation provision; medical volunteer training level; and on-site medications and labs. Data analysis with multiple regressions was conducted. Factors that significantly affected wait times included the level of medical complexity (p<.001), medical volunteer training levels (p<.001), in-house labs (p<.001), in-house medications (p=.04), and new patients (p=.01). An intervention involving time benchmarks at the beginning of clinics reduced first-wave lobby wait times (p<.001). Future interventions addressing these factors may reduce wait times at other clinics.

影响免费诊所病人等候时间的因素。
免费诊所的候诊时间可能较长。我们对一家免费诊所进行了回顾性病历审查,以了解造成这种情况的因素。对 349 名患者的三种等待时间(总就诊时间、大厅等待时间和分诊时间)进行了分析。模型中的变量包括患者、医疗服务提供者和志愿者的总人数;口译服务;社会工作参与;医疗复杂性;新患者与复诊患者;预约就诊与无预约就诊;交通提供;医疗志愿者的培训水平;以及现场用药和化验。对数据进行了多元回归分析。对等待时间有明显影响的因素包括医疗复杂程度(p< .001)、医疗志愿者培训水平(p< .001)、内部实验室(p< .001)、内部药物(p=.04)和新患者(p=.01)。在门诊开始时采用时间基准的干预措施缩短了第一波大厅等候时间(p< .001)。未来针对这些因素的干预措施可能会缩短其他诊所的等候时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.00
自引率
7.10%
发文量
154
期刊介绍: The journal has as its goal the dissemination of information on the health of, and health care for, low income and other medically underserved communities to health care practitioners, policy makers, and community leaders who are in a position to effect meaningful change. Issues dealt with include access to, quality of, and cost of health care.
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