eHealth Survey System for Public Health: Feasibility and Usability

描述（由申请人提供）： 美国公司每年花费数百万美元资助员工的健康行为改变计划。这些组织需要更好的工具，以实现有效的设计和方便的评估这些计划的有效性。我们已经开发了一个增强的基于网络的版本，一个众所周知的，有充分记录的，非常成功的电话健康调查工具，从行为风险因素监测系统（BRFSS）的问题。我们的原型，电子健康调查，是使用一种新的技术，我们称之为调查标记语言（SuML），一个XML模块化的调查系统，电子收集，存储，访问，分析和报告数据在网络上。SuML引擎和工具本身可以作为开源发布。电子健康调查工具由公共领域的内容组成，可用于估计基线风险状况;为特定的“风险”员工群体量身定制计划;评估员工福利，工作场所政策和健康促进计划的有效性;以及基准员工人群的风险随着时间的推移，在雇主之间，并与国家和州数据。我们正在将原型开发成生产系统。在这里，我们试图证明的SuML引擎电子健康调查技术作为人口评估工具的可行性，通过提高系统的能力，并评估的SuML技术的电子健康调查工具在应用环境中的可用性。我们将把新兴的万维网联盟（W3C）标准（如XForms）纳入到体系结构中，并添加模块来支持分层随机抽样、自动提醒和跟踪（尽管去标识化）。我们会招募一小部分付费志愿者参加用户测试和跟进访谈，以评估电子健康调查的可用性。测试结果将推动设计变更。在第二年，我们将在西澳州的大型雇主中使用以用户为中心的方法，为流行病学上合理的人口跟踪后端管理界面的组成部分制定一套规范。这些发现可能会影响在各种环境中收集健康数据的方式。SuML是传播基于网络的调查和标准化工具的新的潜在标准。这项研究将使我们能够证明这种公共卫生信息学方法的潜力，如果证明是可行的，促进其广泛应用。 在第二节中，我们提出了具体的目标。第3节详细介绍了这些改进的基本原理，并通过与华盛顿州统一医疗计划（与我们中心的长期合作者）合作开展的前期工作和试点测试进行了说明。第4节概述了我们以前的研究在调查技术领域和证据的长期健康促进关系，西北雇主。第5节详细介绍了实现本提案具体目标所使用的方法。

DESCRIPTION (provided by applicant): Millions of dollars are spent annually by American corporations to sponsor health behavior modification programs for their employees. These organizations need better tools to enable both effective design and convenient assessment of the effectiveness of these programs. We have developed an enhanced web-based version of a well-known, thoroughly documented, and highly successful telephonic health survey instrument with questions from the Behavioral Risk Factor Surveillance System (BRFSS). Our prototype, eHealth Survey, was built using a novel technology we call Survey Markup Language (SuML), an XML modular survey system for electronically collecting, storing, accessing, analyzing, and reporting data over the web. The SuML engine and instrument itself can be distributed as open source. The eHealth Survey instrument is made up of public domain content and can be used to estimate baseline risk profiles; design programs tailored to specific groups of "at-risk" employees; assess the effectiveness of employee benefits, workplace policies, and health promotion programs; and benchmark employee populations' risks over time, across employers, and with national and state data. We are developing the prototype into a production system. Here, we seek to demonstrate the feasibility of the SuML-engine eHealth Survey technology as a population assessment tool by enhancing the systems capabilities, and evaluate the usability of the SuML technology-eHealth Survey instrument in an applied setting. We will incorporate emerging World Wide Web Consortium (W3C) standards such as XForms into the architecture and add modules to support stratified random sampling, automated reminders, and tracking despite de-identification. We will recruit a small group of paid volunteers for user testing sessions and follow-up interviews aimed at evaluating usability eHealth Survey. Results from testing will drive design changes. In year two we will use a user-centered approach in large WA State employers, to develop a set of specifications for the components of an epidemiologically sound population tracking back-end administrative interface. These findings could influence how health data is collected in a variety of settings. SuML is a new potential standard for disseminating web-based surveys and standardized instruments. This study will enable us to demonstrate the potential of this Public Health Informatics method and, if shown to be feasible, promote its widespread application. In Section 2, we provide the specific aims. The rationale for these enhancements are detailed in Section 3 and are informed by prior work and pilot testing in partnership with the State of Washington Uniform Medical Plan, a long-time collaborator with our Centers. Section 4 outlines our prior research in the survey technology field and evidence of longstanding health promotion relationships to Northwest employers. Section 5 details the methods used to accomplish the Specific Aims of this proposal.