Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol.
Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol.
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DOI：
10.1186/1472-6947-13-121
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发表时间：
2013-10-30
影响因子：
3.5
通讯作者：
Revere D
中科院分区：
文献类型：
--
作者：
Dixon BE;Grannis SJ;Revere D
卫生信息交换(HIE)是临床护理和公共卫生实体之间数据和信息的电子共享。以前的研究表明，使用HIE以电子方式向公共卫生报告实验室结果可以改善监测实践，但HIE用于改善基于提供者的疾病报告的利用很少。这篇文章描述了一种研究方案，它使用混合方法来评估干预措施，以电子方式预先填写基于提供者的应通报疾病病例报告表，并通过可操作的HIE获得临床、实验室和患者数据。评估旨在：(1)确定实施、采用和利用干预措施的障碍和促进者；(2)衡量对工作流程、提供者意识和最终用户满意度的影响；(3)描述在不同临床环境和HIE中影响干预措施有效性的背景因素。干预措施将在美国最大和最古老的HIE基础设施之一--印第安纳州患者护理网络--交错实施。将利用并行设计混合方法框架进行评价，在该框架中，定性方法嵌入定量方法。量化数据将包括报告率、及时性和负担以及报告的完整性和准确性，使用中断的时间序列和其他事后比较进行分析。将使用半结构化访谈和不限成员名额调查项目收集关于事后提供者对报告完整性、准确性和及时性、报告负担、数据质量、效益、效用、采用、利用和对报告工作流程的影响的定性数据。将对数据进行三角划分，以通过交叉验证结果找到趋同或一致意见，从而根据背景描述促进者以及实施和使用干预措施的障碍。通过应用混合研究方法和衡量可能影响采用和利用干预措施的背景、促进者和障碍，以及个人、组织和数据质量因素，我们将记录干预措施是否以及如何简化基于提供者的手动报告工作流程，降低报告障碍，增加数据完整性，改善报告的及时性，并涵盖社区中更大比例的传染病负担。
Health information exchange (HIE) is the electronic sharing of data and information between clinical care and public health entities. Previous research has shown that using HIE to electronically report laboratory results to public health can improve surveillance practice, yet there has been little utilization of HIE for improving provider-based disease reporting. This article describes a study protocol that uses mixed methods to evaluate an intervention to electronically pre-populate provider-based notifiable disease case reporting forms with clinical, laboratory and patient data available through an operational HIE. The evaluation seeks to: (1) identify barriers and facilitators to implementation, adoption and utilization of the intervention; (2) measure impacts on workflow, provider awareness, and end-user satisfaction; and (3) describe the contextual factors that impact the effectiveness of the intervention within heterogeneous clinical settings and the HIE. The intervention will be implemented over a staggered schedule in one of the largest and oldest HIE infrastructures in the U.S., the Indiana Network for Patient Care. Evaluation will be conducted utilizing a concurrent design mixed methods framework in which qualitative methods are embedded within the quantitative methods. Quantitative data will include reporting rates, timeliness and burden and report completeness and accuracy, analyzed using interrupted time-series and other pre-post comparisons. Qualitative data regarding pre-post provider perceptions of report completeness, accuracy, and timeliness, reporting burden, data quality, benefits, utility, adoption, utilization and impact on reporting workflow will be collected using semi-structured interviews and open-ended survey items. Data will be triangulated to find convergence or agreement by cross-validating results to produce a contextualized portrayal of the facilitators and barriers to implementation and use of the intervention. By applying mixed research methods and measuring context, facilitators and barriers, and individual, organizational and data quality factors that may impact adoption and utilization of the intervention, we will document whether and how the intervention streamlines provider-based manual reporting workflows, lowers barriers to reporting, increases data completeness, improves reporting timeliness and captures a greater portion of communicable disease burden in the community.
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影响因子：
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作者：
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通讯作者：
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DOI：
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发表时间：
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