背景:医疗保健信息系统(HIS)用于帮助医疗保健提供者提供简短的戒烟干预措施。然而,关于发展中国家干预模式有效性的证据仍然有限。基于嵌入在HIS中的决策支持工具的戒烟干预模型(“电子信息模型”,包括问,建议,评估,通知,参考和打印组件)在北京一家大型城市综合医院应用,中国。当前的研究是对该模型的实施和有效性的初步评估。
方法:我们于2017年6-7月在医院门诊进行了回顾性调查。使用纸质问卷,收集患者自我报告在过去2个月内接受电子信息模型的情况以及他们在1个月内戒烟的计划.使用多变量逻辑回归分析来检查接受电子信息模型与患者戒烟计划之间的关联。
结果:在656名目前吸烟的患者中,接受询问的患者比例,建议,评估,参考和打印组件为73.2%,65.4%,49.8%,16.0%和10.4%,分别。结果表明,接受的成分数量与计划戒烟的患者比例之间存在剂量反应关系(p趋势=0.006)。在接受所有五个组成部分的患者中,计划在1个月内戒烟的可能性最高(OR=2.79,95%CI:1.31-5.94)。此外,由两或三部分组成的简化模型也显示了对增加计划戒烟患者比例的潜在影响.
结论:电子信息模型在研究医院得到了有效应用,并似乎鼓励患者计划戒烟。这种模式可以推广到中国和其他发展中国家的其他医院。然而,该模型的许多组件被较少利用,未来将需要采取综合措施来改善其应用。
BACKGROUND: Healthcare information systems (HIS) are used to aid healthcare providers delivering brief smoking cessation interventions. However, evidence regarding the effectiveness of intervention models in developing countries remains limited. A smoking cessation intervention model based on a decision support tool embedded in HIS (an \'e-information model\', including Ask, Advise, Assess, Inform, Refer and Print components) was applied in a large urban general hospital in Beijing,
China. The current study was a preliminary evaluation of the implementation and effectiveness of this model.
METHODS: We conducted a retrospective investigation in the outpatient department of the hospital in the period June-July 2017. Using a paper questionnaire, patients\' self-reported receipt of the e-information model in the past 2 months and their plans to quit within 1 month were collected. Multivariate logistic regression analysis was used to examine the association between receiving the e-information model and patients\' plans to quit.
RESULTS: Among 656 currently smoking patients, the proportion of patients receiving the Ask, Advise, Assess, Refer and Print components were 73.2%, 65.4%, 49.8%, 16.0% and 10.4%, respectively. The results revealed a dose-response relationship between the number of components received and the proportion of patients planning to quit (p-trend=0.006). The likelihood of patients planning to quit within 1 month was highest among those receiving all five components (OR=2.79, 95% CI: 1.31-5.94). Moreover, a simplified model composed of two or three components also revealed a potential effect on increasing the proportion of patients planning to quit.
CONCLUSIONS: The e-information model was applied effectively in the study hospital and appeared to encourage patients to plan to quit smoking. This model could be generalized to other hospitals in
China and other developing countries. However, many components of this model were less utilized, and comprehensive measures will be required to improve its application in the future.