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一项基于网络的促进接受度干预措施,用于识别患者对基于互联网和移动设备的疼痛干预措施的接受度、采用率和依从性:随机对照试验。

A Web-Based Acceptance-Facilitating Intervention for Identifying Patients' Acceptance, Uptake, and Adherence of Internet- and Mobile-Based Pain Interventions: Randomized Controlled Trial.

作者信息

Lin Jiaxi, Faust Bianca, Ebert David Daniel, Krämer Lena, Baumeister Harald

机构信息

Institute of Psychiatry, Psychology & Neuroscience, Health Psychology Department, King's College London, London, United Kingdom.

Institute of Sports and Sport Science, Department of Sport Psychology, University of Freiburg, Freiburg, Germany.

出版信息

J Med Internet Res. 2018 Aug 21;20(8):e244. doi: 10.2196/jmir.9925.

Abstract

BACKGROUND

Internet- and mobile-based interventions are effective for the treatment of chronic pain. However, little is known about patients' willingness to engage with these types of interventions and how the uptake of such interventions can be improved.

OBJECTIVE

The aim of this study was to identify people's acceptance, uptake, and adherence (primary outcomes) with regard to an internet- and mobile-based intervention for chronic pain and the influence of an information video as an acceptance-facilitating intervention (AFI).

METHODS

In this randomized controlled trial with a parallel design, we invited 489 individuals with chronic pain to participate in a Web-based survey assessing the acceptance of internet- and mobile-based interventions with the offer to receive an unguided internet- and mobile-based intervention for chronic pain after completion. Two versions of the Web-based survey (with and without AFI) were randomly sent to two groups: one with AFI (n=245) and one without AFI (n=244). Participants who completed the Web-based survey with or without AFI entered the intervention group or the control group, respectively. In the survey, the individuals' acceptance of pain interventions, measured with a 4-item scale (sum score ranging from 4 to 20), predictors of acceptance, sociodemographic and pain-related variables, and physical and emotional functioning were assessed. Uptake rates (log in to the intervention) and adherence (number of completed modules) to the intervention was assessed 4 months after intervention access. To examine which factors influence acceptance, uptake rate, and adherence in the internet- and mobile-based interventions, we conducted additional exploratory subgroup analyses.

RESULTS

In total, 57 (intervention group) and 58 (control group) participants in each group completed the survey and were included in the analyses. The groups did not differ with regard to acceptance, uptake rate, or adherence (P=.64, P=.56, P=.75, respectively). Most participants reported moderate (68/115, 59.1%) to high (36/115, 31.3%) acceptance, with 9.6% (11/115) showing low acceptance (intervention group: mean 13.91, SD 3.47; control group: mean 13.61, SD 3.50). Further, 67% (38/57, intervention group) and 62% (36/58, control group) had logged into the intervention. In both groups, an average of 1.04 (SD 1.51) and 1.14 (SD 1.90) modules were completed, respectively.

CONCLUSIONS

The informational video was not effective with regard to acceptance, uptake rate, or adherence. Despite the high acceptance, the uptake rate was only moderate and adherence was remarkably low. This study shows that acceptance can be much higher in a sample participating in an internet- and mobile-based intervention efficacy trial than in the target population in routine health care settings. Thus, future research should focus not only on acceptance and uptake facilitating interventions but also on ways to influence adherence. Further research should be conducted within routine health care settings with more representative samples of the target population.

TRIAL REGISTRATION

German Clinical Trial Registration DRKS00006183; http://www.drks.de/drks_web/navigate.do ?navigationId=trial.HTML&TRIAL_ID=DRKS00006183 (Archived by WebCite at http://www.webcitation.org/70ebHDhne).

摘要

背景

基于互联网和移动设备的干预措施对慢性疼痛的治疗有效。然而,对于患者参与这类干预措施的意愿以及如何提高此类干预措施的接受度,我们知之甚少。

目的

本研究旨在确定人们对基于互联网和移动设备的慢性疼痛干预措施的接受度、采用率和依从性(主要结局),以及信息视频作为一种促进接受度的干预措施(AFI)的影响。

方法

在这项采用平行设计的随机对照试验中,我们邀请了489名慢性疼痛患者参与一项基于网络的调查,评估他们对基于互联网和移动设备的干预措施的接受度,并表示在完成调查后可获得一项针对慢性疼痛的无指导的基于互联网和移动设备的干预措施。基于网络的调查的两个版本(有AFI和无AFI)被随机发送给两组:一组有AFI(n = 245),另一组无AFI(n = 244)。完成有或无AFI的基于网络调查的参与者分别进入干预组或对照组。在调查中,使用一个4项量表(总分范围为4至20)评估个体对疼痛干预措施的接受度、接受度的预测因素、社会人口统计学和疼痛相关变量以及身体和情绪功能。在获得干预措施4个月后评估干预措施的采用率(登录干预措施)和依从性(完成的模块数量)。为了研究哪些因素影响基于互联网和移动设备的干预措施的接受度、采用率和依从性,我们进行了额外的探索性亚组分析。

结果

每组分别有57名(干预组)和58名(对照组)参与者完成了调查并纳入分析。两组在接受度、采用率或依从性方面没有差异(P分别为0.64、0.56、0.75)。大多数参与者报告接受度为中度(68/115,59.1%)至高(36/115,3:3%),9.6%(11/115)的接受度较低(干预组:均值13.91,标准差3.47;对照组:均值13.61,标准差3.50)。此外,67%(38/57,干预组)和62%(36/58,对照组)已登录干预措施。两组分别平均完成了1.04(标准差1.51)和1.14(标准差1.90)个模块。

结论

信息视频在接受度、采用率或依从性方面无效。尽管接受度较高,但采用率仅为中等,依从性非常低。本研究表明,参与基于互联网和移动设备的干预效果试验的样本中的接受度可能比常规医疗保健环境中的目标人群高得多。因此,未来的研究不仅应关注促进接受度和采用率的干预措施,还应关注影响依从性的方法。应在常规医疗保健环境中对更具代表性的目标人群样本进行进一步研究。

试验注册

德国临床试验注册DRKS00006183;http://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00006183(由WebCite存档于http://www.webcitation.org/70ebHDhne)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d36a/6123541/a37ad083a77e/jmir_v20i8e244_fig1.jpg

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