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Exploratory study of drug user health-related internet and mobile technology use

Exploratory study of drug user health-related internet and mobile technology use
吸毒者健康相关互联网和移动技术使用的探索性研究
批准号:
8512442
负责人:
CRYSTAL FULLER LEWIS
金额:
$20.0万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-06-15 至 2015-05-31

项目摘要

项目成果

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中文摘要
翻译
描述(申请人提供):这项探索性研究的目的是调查非法吸毒者使用互联网和移动技术的频率和类型,特别是使用互联网和短信获取医疗保健信息和从事医疗保健利用的相关因素。基于网络和基于移动技术的健康干预已被证明在提供健康教育、改变健康行为和增加服药依从性/护理保留率方面是有效的。然而,这些干预措施在吸毒人群中的潜在影响被严重低估。针对吸毒者的基于互联网或移动技术的健康促进干预措施一直受到以下方面数据的阻碍:吸毒者使用互联网和移动技术的地点、频率和目的,特别是出于与健康有关的原因;互联网和移动使用的障碍;以及这些技术的使用如何因社会人口结构、性和毒品风险行为、保健状况和保健利用而有所不同。在此,研究的目的1是检查人口统计学、健康状况、行为、技术自我效能和障碍的相关性:1a)吸毒者使用互联网和移动技术的地点、频率和目的;1b)出于与健康相关的目的使用互联网或移动技术的意愿;以及1c)出于获取健康信息和/或与医疗保健系统/提供者接触的目的而实际使用互联网或手机应用程序/短信的情况。目标2,在那些每月报告互联网使用情况的人中(来自目标1),他们将被引导访问由研究开发的供吸毒者使用的互动健康信息网站,我们将试行测试:2a)网站使用;2b)网站功能的使用(例如,观看与健康相关的视频、使用可搜索的医疗保健服务地图);以及2c)接收有关健康信息的自动短信更新。为了实现这些目标,我们将瞄准纽约市毒品活动频繁的社区,并招募由药房工作人员招募的参与者(即通过纽约州扩展注射器获取计划购买注射器的注射吸毒者)或通过拨打药房张贴的研究传单上的免费电话筛选符合条件的参与者。所有参与者(n=336)将接受ACASI,评估社会人口结构、医疗保健的获得和利用、性/药物使用行为、健康状况以及一般和与健康相关的互联网/移动技术使用的特征,包括促进或阻碍使用的因素。被确定为每月使用因特网e 1(n=151)的参与者将返回参加为期两周的ACASI,以报告试点网站的使用情况(该网站将主要以印刷/小册子/视频形式展示社区目前提供的信息)。将使用描述性统计和回归技术对这两个目标的数据进行分析,并使用多级建模来解释聚集的数据。我们的研究结果有可能为基于网络或基于移动的干预措施的未来发展提供信息,以改善非法吸毒者的健康状况。
英文摘要
DESCRIPTION (provided by applicant): The purpose of this exploratory study is to examine factors associated with frequency and type of internet and mobile technology use among illegal drug users, specifically use of internet and text-messaging to obtain health care information and engage in health care utilization. Web-based and mobile technology-based health interventions have been shown to be effective in providing health education, changing health behavior, and increasing medication adherence/retention in care. However, the potential impact of these interventions among drug-using populations has been grossly underexplored. Internet or mobile technology-based health promotion interventions for drug users has been hampered by the scarcity of data on: where, how often, and for what purpose drug users use internet and mobile technologies, especially for health-related reasons; barriers to internet and mobile use; and how use of these technologies vary by socio-demographics, sexual and drug risk behavior, health care status, and health care utilization. Herein, Aim 1 of the study is to examine demographic, health status, behavioral, technology self-efficacy and barrier correlates of: 1a) where, how often, and for what purpose drug users use internet and mobile technologies; 1b) willingness to use internet or mobile technology for health-related purposes; and 1c) actual internet or cell phone app/text message use for the purposes of acquiring health information and/or engaging the health care system/providers. Aim 2, among those who report internet use > 1x/month (from Aim 1) who will be directed to visit a study-developed interactive health information website for drug users, we will pilot test: 2a) website use; 2b) use of website functions (e.g. viewing health-related videos, use of searchable map of health care services); and 2c) uptake in receipt of automatic text message updates on relevant health information. To achieve these aims, we will target high drug activity neighborhoods in New York City and enroll participants recruited by pharmacy staff (i.e. injection drug users purchasing syringes through New York State Expanded Syringe Access Program) or screened eligible by calling a toll-free number on the study flyer posted in the pharmacy. All participants (n=336) will undergo an ACASI that will assess socio-demographics, health care access and utilization, sex/drug use behavior, health status, and characteristics of general and health-related internet/mobile technology use including factors that promote or hinder use. Participants identified as using the internet e 1/month (n=151) will return for a 2-week ACASI to report on use of the pilot website (which will largely display information currently available in the community in print/ pamphlet/ video form). Data will be analyzed using descriptive statistics and regression techniques for both aims, and multilevel modeling to account for clustered data. Our study results have the potential to inform the future development of web-based or mobile-based interventions to improve the health status of illegal drug users.
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会议论文
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