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AIDS Behav. 2015 Feb;19(2):330-40. doi: 10.1007/s10461-014-0923-8.
2
Injection Drug Users' Involvement In Drug Economy: Dynamics of Sociometric and Egocentric Social Networks.注射吸毒者在毒品经济中的参与:社会测量和自我中心社会网络的动态变化
Connect (Tor). 2013 Jul;33(1):24-34.
3
Outcomes of home visits for pregnant mothers and their infants: a cluster randomized controlled trial.家访对孕妇及其婴儿结局的影响:一项整群随机对照试验。
AIDS. 2013 Jun 1;27(9):1461-71. doi: 10.1097/QAD.0b013e3283601b53.
4
The analysis of multiple ties in longitudinal egocentric network data: A case study on bidirectional relationships between trust and drug use.纵向自我中心网络数据中的多重关系分析:以信任与药物使用之间的双向关系为例
Soc Networks. 2012 Oct 1;34(4):691-700. doi: 10.1016/j.socnet.2012.08.005.
5
Network interventions.网络干预措施。
Science. 2012 Jul 6;337(6090):49-53. doi: 10.1126/science.1217330.
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Identifying preferences for mobile health applications for self-monitoring and self-management: focus group findings from HIV-positive persons and young mothers.确定 HIV 阳性者和年轻母亲对自我监测和自我管理的移动健康应用程序的偏好:焦点小组的研究结果。
Int J Med Inform. 2013 Apr;82(4):e38-46. doi: 10.1016/j.ijmedinf.2012.05.009. Epub 2012 Jun 14.
7
Using multiple household food inventories to measure food availability in the home over 30 days: a pilot study.利用多个家庭食品库存来测量 30 天内家庭食品供应情况:一项试点研究。
Nutr J. 2010 Apr 15;9:19. doi: 10.1186/1475-2891-9-19.
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A mixed ordinal location scale model for analysis of Ecological Momentary Assessment (EMA) data.一种用于分析生态瞬时评估(EMA)数据的混合有序位置量表模型。
Stat Interface. 2009;2(4):391-401. doi: 10.4310/sii.2009.v2.n4.a1.
9
Relationships over time between mental health symptoms and transmission risk among persons living with HIV.HIV 感染者的心理健康症状与传播风险之间随时间的关系。
Psychol Addict Behav. 2010 Mar;24(1):109-118. doi: 10.1037/a0018190.
10
Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments.生态瞬时干预:将移动技术融入心理社会和健康行为治疗中。
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以自我为中心的社交网络中的手机评估:一项关于男同性恋者及其同伴的试点研究。

Mobile Phone Assessment in Egocentric Networks: A Pilot Study on Gay Men and Their Peers.

作者信息

Comulada W Scott

机构信息

Department of Psychiatry and Biobehavioral Sciences at the University of California, Los Angeles, California. He is also a Methods Core scientist for the Center for HIV Identification, Prevention, and Treatment Services (CHIPTS; P30MH058107).

出版信息

Connect (Tor). 2014 Dec 1;34(1-2):43-51. doi: 10.17266/34.1.4.

DOI:10.17266/34.1.4
PMID:25844003
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4380161/
Abstract

Mobile phone-based data collection encompasses the richness of social network research. Both individual-level and network-level measures can be recorded. For example, health-related behaviors can be reported via mobile assessment. Social interactions can be assessed by phone-log data. Yet the potential of mobile phone data collection has largely been untapped. This is especially true of egocentric studies in public health settings where mobile phones can enhance both data collection and intervention delivery, e.g. mobile users can video chat with counselors. This is due in part to privacy issues and other barriers that are more difficult to address outside of academic settings where most mobile research to date has taken place. In this article, we aim to inform a broader discussion on mobile research. In particular, benefits and challenges to mobile phone-based data collection are highlighted through our mobile phone-based pilot study that was conducted on egocentric networks of 12 gay men (n = 44 total participants). HIV-transmission and general health behaviors were reported through a mobile phone-based daily assessment that was administered through study participants' own mobile phones. Phone log information was collected from gay men with Android phones. Benefits and challenges to mobile implementation are discussed, along with the application of multi-level models to the type of longitudinal egocentric data that we collected.

摘要

基于手机的数据收集涵盖了丰富的社交网络研究。个体层面和网络层面的测量都可以被记录下来。例如,与健康相关的行为可以通过移动评估来报告。社交互动可以通过通话记录数据来评估。然而,手机数据收集的潜力在很大程度上尚未被挖掘。在公共卫生环境中的自我中心研究尤其如此,在这些研究中,手机可以加强数据收集和干预措施的实施,例如,手机用户可以与咨询师进行视频聊天。这部分是由于隐私问题以及其他在学术环境之外更难解决的障碍,而迄今为止大多数手机研究都是在学术环境中进行的。在本文中,我们旨在为关于移动研究的更广泛讨论提供信息。特别是,通过我们基于手机的试点研究突出了基于手机的数据收集的益处和挑战,该研究是在12名男同性恋者的自我中心网络上进行的(总共有44名参与者)。通过参与者自己的手机进行的基于手机的每日评估来报告艾滋病毒传播和一般健康行为。从使用安卓手机的男同性恋者那里收集通话记录信息。讨论了移动实施的益处和挑战,以及多层次模型在我们收集的纵向自我中心数据类型中的应用。