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首页> 外文期刊>JMIR Research Protocols >Investigating Health Risk Environments in Housing Programs for Young Adults: Protocol for a Geographically Explicit Ecological Momentary Assessment Study
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Investigating Health Risk Environments in Housing Programs for Young Adults: Protocol for a Geographically Explicit Ecological Momentary Assessment Study

机译:在青年人的住房计划中调查健康风险环境:地理上明确的生态矩评估研究协议

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Background Young adults who experience homelessness are exposed to environments that contribute to risk behavior. However, few studies have examined how access to housing may affect the health risk behaviors of young adults experiencing homelessness. Objective This paper describes the Log My Life study that uses an innovative, mixed-methods approach based on geographically explicit ecological momentary assessment (EMA) through cell phone technology to understand the risk environment of young adults who have either enrolled in housing programs or are currently homeless. Methods For the quantitative arm, study participants age 18-27 respond to momentary surveys via a smartphone app that collects geospatial information repeatedly during a 1-week period. Both EMAs (up to 8 per day) and daily diaries are prompted to explore within-day and daily variations in emotional affect, context, and health risk behavior, while also capturing infrequent risk behaviors such as sex in exchange for goods or services. For the qualitative arm, a purposive subsample of participants who indicated engaging in risky behaviors are asked to complete an in-depth qualitative interview using an interactive, personalized geospatial map rendering of EMA responses. Results Recruitment began in June of 2017. To date, 170 participants enrolled in the study. Compliance with EMA and daily diary surveys was generally high. In-depth qualitative follow-ups have been conducted with 15 participants. We expect to recruit 50 additional participants and complete analyses by September of 2019. Conclusions Mixing the quantitative and qualitative arms in this study will provide a more complete understanding of differences in risk environments between homeless and housed young adults. Furthermore, this approach can improve recall bias and enhance ecological validity.
机译:背景经历无家可归的年轻成年人暴露于有助于冒险行为的环境中。但是,很少有研究检查住房的使用可能如何影响无家可归的年轻人的健康风险行为。目的本文介绍了Log My Life研究,该研究使用创新的混合方法通过手机技术在地理上明确的生态瞬时评估(EMA)的基础上,了解了已参加住房计划或目前正在参加住房计划的年轻人的风险环境无家可归。方法对于定量组,年龄在18-27岁的研究参与者通过智能手机应用程序对瞬时调查做出响应,该应用程序在1周内重复收集了地理空间信息。 EMA(每天最多8个)和每日日记均被提示探索情绪影响,情境和健康风险行为的日内和每日变化,同时还捕获不频繁的风险行为,例如性行为,以换取商品或服务。对于定性部门,要求参与者进行有目的性的子样本,表明他们参与了危险的行为,使用EMA响应的交互式个性化地理空间地图呈现来完成深入的定性访谈。结果招募始于2017年6月。迄今为止,已有170名参与者参加了研究。 EMA和日常日记调查的合规性普遍很高。 15位参与者进行了深入的定性随访。我们预计将在2019年9月之前再招募50名参与者并完成分析。结论在这项研究中,混合使用定量和定性分析将使人们更加全面地了解无家可归者和有住房的年轻人之间的风险环境差异。此外,这种方法可以改善召回偏见并增强生态有效性。

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