Prospective acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder: A multisite qualitative study.

Prospective acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder: A multisite qualitative study.
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DOI:
10.3389/fpsyt.2023.1137071
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发表时间:
2023
影响因子:
4.7
通讯作者:
Cochran, Gerald
Cochran, Gerald
中科院分区:
医学3区
文献类型:
--
作者:
Charron, Elizabeth;White, Ashley;Carlston, Kristi;Abdullah, Walitta;Baylis, Jacob D.;Pierce, Stephanie;Businelle, Michael S.;Gordon, Adam J.;Krans, Elizabeth E.;Smid, Marcela C.;Cochran, Gerald

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虽然治疗阿片使用障碍(MOUD)的药物在怀孕期间和产后有效地治疗OUD,但治疗保留率较低的情况很常见。数字表型,或从个人移动设备(即智能手机)捕获的被动感知数据,提供了一个机会来了解导致围产期声音不保留的行为、心理状态和社会影响。鉴于这一新的调查领域,我们进行了一项定性研究,以确定数字表型在患有阿片类药物使用障碍的孕妇和父母中的可接受性(PPP-OUD)。本研究以可接受性理论框架(TFA)为指导。在一项测试PPP-OUD行为健康干预的临床试验中,我们使用有目的的标准抽样招募了11名在过去12个 月内分娩并在孕期或产后接受OUD治疗的参与者。数据是通过电话访谈收集的,使用基于四个TFA结构(情感态度、负担、伦理、自我效能)的结构化访谈指南。我们使用框架分析来编码、绘制图表并识别数据中的关键模式。参与者普遍对数字表型、高自我效能感和低预期负担表示积极的态度,参与收集基于智能手机的被动传感数据的研究。尽管如此,仍注意到与数据隐私/安全和共享位置信息有关的关切。参与者对负担的评估差异与参与研究所需的时间长短和报酬水平有关。受访者表示广泛支持参与与已知/受信任个人进行的数字表型研究,但对第三方数据共享和政府监测表示担忧。PPP-OUD可以接受数字表型方法。可接受性方面的增强包括允许参与者保持对共享哪些数据的控制,限制研究联系的频率,使薪酬与参与者的负担保持一致,以及在研究材料上概述数据隐私/安全保护。
While medications for opioid use disorder (MOUD) effectively treat OUD during pregnancy and the postpartum period, poor treatment retention is common. Digital phenotyping, or passive sensing data captured from personal mobile devices, namely smartphones, provides an opportunity to understand behaviors, psychological states, and social influences contributing to perinatal MOUD non-retention. Given this novel area of investigation, we conducted a qualitative study to determine the acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder (PPP-OUD). This study was guided by the Theoretical Framework of Acceptability (TFA). Within a clinical trial testing a behavioral health intervention for PPP-OUD, we used purposeful criterion sampling to recruit 11 participants who delivered a child in the past 12  months and received OUD treatment during pregnancy or the postpartum period. Data were collected through phone interviews using a structured interview guide based on four TFA constructs (affective attitude, burden, ethicality, self-efficacy). We used framework analysis to code, chart, and identify key patterns within the data. Participants generally expressed positive attitudes about digital phenotyping and high self-efficacy and low anticipated burden to participate in studies that collect smartphone-based passive sensing data. Nonetheless, concerns were noted related to data privacy/security and sharing location information. Differences in participant assessments of burden were related to length of time required and level of remuneration to participate in a study. Interviewees voiced broad support for participating in a digital phenotyping study with known/trusted individuals but expressed concerns about third-party data sharing and government monitoring. Digital phenotyping methods were acceptable to PPP-OUD. Enhancements in acceptability include allowing participants to maintain control over which data are shared, limiting frequency of research contacts, aligning compensation with participant burden, and outlining data privacy/security protections on study materials.
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