Technology Use Patterns Among Patients Enrolled in Inpatient Detoxification Treatment
Technology Use Patterns Among Patients Enrolled in Inpatient Detoxification Treatment
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DOI：
10.1097/adm.0000000000000494
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发表时间：
2019-07-01
影响因子：
5.5
通讯作者：
Lee, Joshua D.
中科院分区：
文献类型：
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作者：
Tofighi, Babak;Leonard, Noelle;Lee, Joshua D.
背景资料：基于技术的干预措施提供了一种实用，低成本和可扩展的方法，以优化药物使用障碍（SUD）和相关合并症（HIV，丙型肝炎感染）的治疗。这项研究评估了技术使用模式（移动的电话、台式电脑、互联网、社交媒体）在参加住院戒毒治疗的成年人中的使用情况。一项49项定量和定性半结构化调查，评估人口统计学特征、技术使用模式（即，移动的电话、短信[TM]、智能手机应用程序、台式计算机、互联网和社交媒体使用）、隐私问题和技术使用障碍。我们使用多变量logistic回归模型来评估受访者的人口统计学和临床特征和他们的日常使用technology.Results：206参与者完成了调查之间的关联。几乎所有参与者都报告拥有移动的手机（86%）。受欢迎的移动的手机功能包括TM（96%）、网络浏览器（81%）和访问社交媒体（61%）。在过去12个月里，移动的电话（3.3 +/- 2.98）和电话号码（2.6 +/- 2.36）的周转率很高。近一半的人表示每天或每周都会使用台式电脑（48%），大多数人表示会上网（67%）。智能手机拥有率的增加与高等教育状况相关（P = 0.022），与任何住房状况（即自己的公寓，与朋友，家人或中途之家居住）的参与者相比，无家可归的受访者不太可能报告移动的手机拥有率（P = 0.010）。一些与会者使用了因特网搜索引擎（39.4%，71/180）找到12步支持小组会议（37%），住院戒毒计划（35%），短期或长期康复计划（32%），和门诊治疗计划（4%）。在这个难以接触的住院戒毒受访者样本中，技术使用模式表明，移动的电话拥有率、TM使用率、以及适度使用技术，以促进与戒毒服务的联系。
Background: Technology-based interventions offer a practical, low-cost, and scalable approach to optimize the treatment of substance use disorders (SUDs) and related comorbidities (HIV, hepatitis C infection). This study assessed technology use patterns (mobile phones, desktop computers, internet, social media) among adults enrolled in inpatient detoxification treatment.Methods: A 49-item, quantitative and qualitative semi-structured survey assessed for demographic characteristics, technology use patterns (ie, mobile phone, text messaging [TM], smart phone applications, desktop computer, internet, and social media use), privacy concerns, and barriers to technology use. We used multivariate logistic regression models to assess the association between respondent demographic and clinical characteristics and their routine use of technologies.Results: Two hundred and six participants completed the survey. Nearly all participants reported mobile phone ownership (86%). Popular mobile phone features included TM (96%), web-browsers (81%), and accessing social media (61%). There was high mobile phone (3.3 +/- 2.98) and phone number (2.6 +/- 2.36) turnover in the preceding 12 months. Nearly half described daily or weekly access to desktop computers (48%) and most reported internet access (67%). Increased smartphone ownership was associated with higher education status (P = 0.022) and homeless respondents were less likely to report mobile phone ownership (P = 0.010) compared to participants with any housing status (ie, own apartment, residing with friends, family, or in a halfway house). Internet search engines were used by some participants (39.4%, 71/180) to locate 12 step support group meetings (37%), inpatient detoxification programs (35%), short- or long-term rehabilitation programs (32%), and outpatient treatment programs (4%).Conclusions: Technology use patterns among this hard-to-reach sample of inpatient detoxification respondents suggest high rates of mobile phone ownership, TM use, and moderate use of technology to facilitate linkage to addiction treatment services.