Observational study to determine predictors of rheumatology clinic visit provider contact time

观察性研究旨在确定风湿病门诊就诊与医护人员接触时间的预测因素

阅读:1

Abstract

OBJECTIVE: To address perceived inefficiencies in an academic rheumatology practice, a timing/work-flow evaluation was initiated to determine the factors that predict the provider contact time (PCT), i.e., the amount of time that attending physicians spend with patients during an outpatient encounter. METHODS: This prospective observational study was conducted at the University of Colorado Hospital Rheumatology Clinic for return patient visits in early 2008. Each patient encounter was subdivided into components, and the time for each component was recorded. Up to 20 return-visit encounters per provider were randomly selected for inclusion. Multivariate linear regression was used to predict the time, in minutes, that providers spent with patients, and logistic regression was used to determine the time intervals associated with the patient's perception that the visit ran on time. RESULTS: Variables associated with increased PCT were whether a procedure was performed in the clinic (P = 0.037) and whether the visit occurred in the afternoon (P < 0.025). For every minute a provider was late in beginning to see a patient, the PCT decreased by 0.32 minutes (95% confidence interval [95% CI] 0.15, 0.49). Variables associated with the patient's perception that the visit ran on time included the check-in to vitals delay (odds ratio [OR] 0.95; 95% CI 0.92, 0.99) and the provider delay (OR 0.92; 95% CI 0.86, 0.99). CONCLUSION: The patient's punctuality and the presence of a resident are not significantly associated with the time that a provider spends with a patient. However, the degree to which the provider runs late was associated with decreased PCT and diminishes the patient's perception that the visit is running on time.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。