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首页> 外文期刊>Journal of medical Internet research >How User Characteristics Affect Use Patterns in Web-Based Illness Management Support for Patients with Breast and Prostate Cancer
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How User Characteristics Affect Use Patterns in Web-Based Illness Management Support for Patients with Breast and Prostate Cancer

机译:用户特征如何影响基于Web的乳腺癌和前列腺癌患者疾病管理支持中的使用模式

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Background: Frequently eHealth applications are not used as intended and they have high attrition rates; therefore, a better understanding of patients’ need for support is warranted. Specifically, more research is needed to identify which system components target different patient groups and under what conditions.Objective: To explore user characteristics associated with the use of different system components of a Web-based illness management support system for cancer patients (WebChoice).Methods: For this secondary post hoc analysis of a large randomized controlled trial (RCT), in which WebChoice was tested among 325 breast cancer and prostate cancer patients who were followed with repeated measures for 1 year, usage patterns of 162 cancer patients in the intervention arm with access to WebChoice were extracted from the user log. Logistic regression was performed to identify patterns of associations between system use and patient characteristics. Latent class analyses (LCA) were performed to identify associations among the use of different system components and levels of social support, symptom distress, depression, self-efficacy, and health-related quality of life.Results: Approximately two-thirds (103/162, 63.6%) of the patients logged on to WebChoice more than once, and were defined as users. A high level of computer experience (odds ratio [OR] 3.77, 95% CI 1.20-11.91) and not having other illnesses in addition to cancer (OR 2.10, 95% CI 1.02-4.34) increased the overall probability of using WebChoice. LCA showed that both men with prostate cancer and women with breast cancer who had low scores on social support accompanied with high levels of symptom distress and high levels of depression were more likely to use the e-message component. For men with prostate cancer, these variables were also associated with high use of the self-management advice component. We found important differences between men with prostate cancer and women with breast cancer when associations between WebChoice use and each user characteristic were analyzed separately. High use of all components was associated with low levels of social support among women with breast cancer, but not among men with prostate cancer. High use of e-messages, advice, and the discussion forum were associated with high levels of depression among women with breast cancer, but not among men with prostate cancer. For men with prostate cancer (but not women with breast cancer), high use of symptom assessments, advice, and the discussion forum were associated with high levels of symptom distress. However, it is unclear whether these findings can be attributed to differences related to diagnosis, gender, or both.Conclusions: This study provides evidence that different user characteristics are associated with different use patterns. Such information is crucial to target Web-based support systems to different patient groups. LCA is a useful technique to identify subgroups of users. In our study, e-messages and self-management advice were highly used components for patients who had low levels of social support and high illness burden, suggesting that patients with these characteristics may find such tools particularly useful.Trial Registration: ClinicalTrials.gov NCT00710658; http://clinicaltrials.gov/ct2/show/NCT00710658 (Archived by WebCite at http://www.webcitation.org/6EmEWZiwz)
机译:背景:电子卫生保健应用程序经常不按预期使用,并且损耗率很高。因此,有必要更好地了解患者的支持需求。具体来说,需要进行更多研究来确定哪些系统组件针对不同的患者组以及在何种条件下。目的:探索与基于Web的癌症患者疾病管理支持系统(WebChoice)的不同系统组件的使用相关的用户特征。方法:对于一项大型随机对照试验(RCT)的二次事后分析,在WebChoice中对325名乳腺癌和前列腺癌患者进行了1年重复测量,对162名癌症患者的干预方式进行了测试从用户日志中提取了可以访问WebChoice的手臂。进行逻辑回归以识别系统使用与患者特征之间的关联模式。进行了潜在类别分析(LCA),以识别不同系统组成部分的使用与社会支持水平,症状困扰,抑郁,自我效能感以及健康相关的生活质量之间的关联。结果:大约三分之二(103 / 162(63.6%)名患者多次登录WebChoice,并被定义为用户。高水平的计算机体验(赔率[OR] 3.77,95%CI 1.20-11.91)并且除癌症外没有其他疾病(OR 2.10,95%CI 1.02-4.34)提高了使用WebChoice的总体可能性。 LCA显示,在社会支持方面得分较低且伴有高水平的症状困扰和高水平的抑郁症的前列腺癌男性和乳腺癌女性均更可能使用电子消息组件。对于患有前列腺癌的男性,这些变量也与自我管理建议成分的大量使用相关。当分别分析WebChoice使用与每个用户特征之间的关联时,我们发现前列腺癌的男性和乳腺癌的女性之间存在重要差异。乳腺癌妇女中所有成分的大量使用与社会支持水平低有关,而前列腺癌男性中却没有。在乳腺癌女性中,大量使用电子消息,建议和讨论论坛与抑郁症的高发有关,而在前列腺癌男性中却没有。对于患有前列腺癌的男性(而不是患有乳腺癌的女性),症状评估,建议和讨论论坛的大量使用与症状困扰的高水平相关。但是,尚不清楚这些发现是否可归因于与诊断,性别或两者相关的差异。结论:这项研究提供了证据,表明不同的用户特征与不同的使用方式相关。此类信息对于将基于Web的支持系统面向不同的患者群体至关重要。 LCA是识别用户子组的有用技术。在我们的研究中,对于社交支持水平低和疾病负担高的患者来说,电子消息和自我管理建议是非常有用的组成部分,这表明具有这些特征的患者可能会发现这种工具特别有用。试验注册:ClinicalTrials.gov NCT00710658 ; http://clinicaltrials.gov/ct2/show/NCT00710658(由WebCite存档,网址为http://www.webcitation.org/6EmEWZiwz)

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