THE USE AND EFFECTS OF HEALTH INFORMATION

健康信息和自我保健资源的供应迅速 它的传播受到许多人的青睐，因为他们认为， 知情的消费者/病人将更适当地使用保健服务。 这一立场受到质疑，主要关切是， 健康信息的增加只会导致一种“信息 对病人来说，“超负荷”。到目前为止，关于这个问题的研究已经 部分原因是缺乏相关的高质量数据。一 社区范围内的信息干预（健康范围社区项目 [HCP]）在爱达荷州的博伊西，提供了一个独特的机会来研究影响 自我保健信息的利用和健康状况。前后 介入部位的数据（即，博伊西）和两个对照社区 (i.e., Billings，MT和尤金，OR）将用于本研究。样品 基线调查的规模是博伊西909，比林斯890和1067 在尤金。后续数据正在收集中，但即使 在50%的损耗率下，将有96%的功效来检测微小的变化 （效应量= 0.39）本研究有三个具体目标：（1）确定 哪些因素与自我保健信息的使用有关;（2） 确定自我护理信息的使用是否与改变相关联 利用和健康状况;（3）评估干预措施的 社区水平对医疗利用和健康状况的影响。分析 将是描述性和分析性的。多元 计量经济学需要逻辑、概率和条件逻辑模型， 取决于因变量。我们希望这项研究能够帮助 确定为消费者提供自我保健信息的价值， 以及解决谁使用健康信息以及 给人们提供自我保健信息会影响卫生服务的利用 和健康状况。

The supply of health information and self-care resources is rapidly growing, and its dissemination is favored by many on the presumption that informed consumers/patients will use health services more appropriate. This position has been challenged, whereby the predominant concern is that an increase in health information only leads to a state of "information overload" for the patient. To date, research on this topic has been limited due in part to a paucity of relevant, high-quality data. A community-wide, information-intervention (The Healthwide Community Project [HCP]) in Boise, Idaho provides a unique opportunity to study the impact of self-care information on utilization and health status. Pre and post data for the intervention site (i.e., Boise) and two control communities (i.e., Billings, MT and Eugene, OR) will be used in this study. Sample sizes for the baseline survey are 909 in Boise, 890 in Billings and 1,067 in Eugene. Follow-up data are in the process of being collected, but even with a 50% attrition rate, there will be 96% power to detect small changes (effect size = .39) This study has three specific aims: (1) to determine what factors are related to the use of self-care information; (2) to determine if the use of self-care information is associated with changes in utilization and health status; and (3) to assess the intervention's community-level effect on medical utilization and health status. Analysis will be both descriptive and analytical in nature. The multivariate econometrics require logistic, probit and conditional logit models, depending on the dependent variable. We expect that this study will help determine the value of providing consumers with self-care information, as well as address issues about who uses health information and whether giving people self-care information affects health services utilization and health status.