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50岁以上成年人中基于网络和纸质版定制干预措施在覆盖范围和损耗率上的差异:整群随机试验

Differences in reach and attrition between Web-based and print-delivered tailored interventions among adults over 50 years of age: clustered randomized trial.

作者信息

Peels Denise Astrid, Bolman Catherine, Golsteijn Rianne Henrica Johanna, De Vries Hein, Mudde Aart Nicolaas, van Stralen Maartje Marieke, Lechner Lilian

机构信息

Open University of The Netherlands, Department of Psychology, Heerlen, Netherlands.

出版信息

J Med Internet Res. 2012 Dec 17;14(6):e179. doi: 10.2196/jmir.2229.

DOI:10.2196/jmir.2229
PMID:23246790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3803160/
Abstract

BACKGROUND

The Internet has the potential to provide large populations with individual health promotion advice at a relatively low cost. Despite the high rates of Internet access, actual reach by Web-based interventions is often disappointingly low, and differences in use between demographic subgroups are present. Furthermore, Web-based interventions often have to deal with high rates of attrition.

OBJECTIVE

This study aims to assess user characteristics related to participation and attrition when comparing Web-based and print-delivered tailored interventions containing similar content and thereby to provide recommendations in choosing the appropriate delivery mode for a particular target audience.

METHODS

We studied the distribution of a Web-based and a print-delivered version of the Active Plus intervention in a clustered randomized controlled trial (RCT). Participants were recruited via direct mailing within the participating Municipal Health Council regions and randomized to the printed or Web-based intervention by their region. Based on the answers given in a prior assessment, participants received tailored advice on 3 occasions: (1) within 2 weeks after the baseline, (2) 2 months after the baseline, and (3) within 4 months after the baseline (based on a second assessment at 3 months). The baseline (printed or Web-based) results were analyzed using ANOVA and chi-square tests to establish the differences in user characteristics between both intervention groups. We used logistic regression analyses to study the interaction between the user characteristics and the delivery mode in the prediction of dropout rate within the intervention period.

RESULTS

The printed intervention resulted in a higher participation rate (19%) than the Web-based intervention (12%). Participants of the Web-based intervention were significantly younger (P<.001), more often men (P=.01), had a higher body mass index (BMI) (P=.001) and a lower intention to be physically active (P=.03) than participants of the printed intervention. The dropout rate was significantly higher in the Web-based intervention group (53%) compared to the print-delivered intervention (39%, P<.001). A low intention to be physically active was a strong predictor for dropout within both delivery modes (P<.001). The difference in dropout rate between the Web-based and the printed intervention was not explained by user characteristics.

CONCLUSIONS

The reach of the same tailored physical activity (PA) intervention in a printed or Web-based delivery mode differed between sociodemographic subgroups of participants over 50 years of age. Although the reach of the Web-based intervention is lower, Web-based interventions can be a good channel to reach high-risk populations (lower PA intention and higher BMI). While the dropout rate was significantly higher in the Web-based intervention group, no specific user characteristics explained the difference in dropout rates between the delivery modes. More research is needed to determine what caused the high rate of dropout in the Web-based intervention.

TRIAL REGISTRATION

Dutch Trial Register (NTR): 2297: http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2297 (Archived by WebCite at http://www.webcitation.org/65TkwoESp).

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccd2/3803160/bc180f170e78/jmir_v14i6e179_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccd2/3803160/6a63542bb96c/jmir_v14i6e179_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccd2/3803160/864b650ea977/jmir_v14i6e179_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccd2/3803160/bc180f170e78/jmir_v14i6e179_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccd2/3803160/6a63542bb96c/jmir_v14i6e179_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccd2/3803160/864b650ea977/jmir_v14i6e179_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccd2/3803160/bc180f170e78/jmir_v14i6e179_fig3.jpg
摘要

背景

互联网有潜力以相对较低的成本为大量人群提供个性化的健康促进建议。尽管互联网接入率很高,但基于网络的干预措施的实际覆盖面往往低得令人失望,而且不同人口亚组之间的使用存在差异。此外,基于网络的干预措施常常不得不应对高流失率。

目的

本研究旨在比较包含相似内容的基于网络和印刷版的量身定制干预措施时,评估与参与和流失相关的用户特征,从而为为特定目标受众选择合适的交付方式提供建议。

方法

我们在一项整群随机对照试验(RCT)中研究了“活力加”干预措施的网络版和印刷版的分发情况。参与者通过在参与的市卫生委员会区域内直接邮寄招募,并按其所在区域随机分配到印刷版或网络版干预措施中。根据先前评估中的回答,参与者在三个时间点收到量身定制的建议:(1)基线后2周内,(2)基线后2个月,(3)基线后4个月内(基于3个月时的第二次评估)。使用方差分析和卡方检验分析基线(印刷版或网络版)结果,以确定两个干预组之间用户特征的差异。我们使用逻辑回归分析来研究用户特征与交付方式在干预期内辍学率预测中的相互作用。

结果

印刷版干预措施的参与率(19%)高于网络版干预措施(12%)。与印刷版干预措施的参与者相比,网络版干预措施的参与者明显更年轻(P<0.001),男性比例更高(P=0.01),体重指数(BMI)更高(P=0.001),身体活动意愿更低(P=0.03)。与印刷版干预措施(39%,P<0.001)相比,网络版干预措施组的流失率明显更高(53%)。身体活动意愿低是两种交付方式中辍学的有力预测因素(P<0.001)。基于网络和印刷版干预措施之间的流失率差异无法通过用户特征来解释。

结论

在50岁以上参与者的社会人口亚组中,相同的量身定制的身体活动(PA)干预措施以印刷版或网络版交付方式的覆盖面有所不同。尽管基于网络的干预措施的覆盖面较低,但它可以成为接触高危人群(身体活动意愿较低且BMI较高)的良好渠道。虽然网络版干预措施组的流失率明显更高,但没有特定的用户特征能够解释两种交付方式之间流失率的差异。需要更多研究来确定基于网络的干预措施中高流失率的原因。

试验注册

荷兰试验注册库(NTR):2297:http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2297(由WebCite存档于http://www.webcitation.org/65TkwoESp)

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