Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
J Med Internet Res. 2020 Aug 10;22(8):e17058. doi: 10.2196/17058.
Using mobile technology for symptom management and self-care can improve patient-clinician communication and clinical outcomes in patients with cancer. The interactive app Interaktor has been shown to reduce symptom burden during cancer treatment. It includes symptom assessment, an alert system for contact with health care professionals, access to self-care advice, and visualization of symptom history. It is essential to understand how digital interventions operate; one approach is to examine engagement by assessing usage and exploring user experiences. Actual usage in relation to the intended use-adherence-is an essential factor of engagement.
This study aimed to describe engagement with the Interaktor app among patients with breast or prostate cancer during treatment.
Patients from the intervention groups of two separate randomized controlled trials were included: patients with breast cancer receiving neoadjuvant chemotherapy (n=74) and patients with locally advanced prostate cancer receiving treatment with radiotherapy (n=75). The patients reported their symptoms daily. Sociodemographic and clinical data were obtained from baseline questionnaires and medical records. Logged data usage was retrieved from the server and analyzed descriptively and with multiple regression analysis. Telephone interviews were conducted with patients about their perceptions of using the app and analyzed using content analysis.
The median adherence percentage to daily symptom reporting was 83%. Most patients used the self-care advice and free text message component. Among the patients treated for breast cancer, higher age predicted a higher total number of free text messages sent (P=.04). Among the patients treated for prostate cancer, higher age (P=.01) and higher education level (P=.04), predicted an increase in total views on self-care advice, while higher comorbidity (P=.004) predicted a decrease in total views on self-care advice. Being married or living with a partner predicted a higher adherence to daily symptom reporting (P=.02). Daily symptom reporting created feelings of having continuous contact with health care professionals, being acknowledged, and safe. Being contacted by a nurse after a symptom alert was considered convenient and highly valued. Treatment and time-related aspects influenced engagement. Daily symptom reporting was perceived as particularly meaningful at the beginning of treatment. Requests were made for advice on diet and psychological symptoms, as well as for more comprehensive and detailed information as the patient progressed through treatment.
Patient engagement in the interactive app Interaktor was high. The app promoted patient participation in their care through continuous and convenient contact with health care professionals. The predictive ability of demographic variables differed between patient groups, but higher age and a higher educational level predicted higher usage of specific app functions for both patient groups. Patients' experience of relevance and interactivity influenced their engagement positively.
使用移动技术进行症状管理和自我护理可以改善癌症患者与临床医生的沟通和临床结果。互动应用程序 Interaktor 已被证明可以在癌症治疗期间减轻症状负担。它包括症状评估、与医疗保健专业人员联系的警报系统、获取自我护理建议以及症状史的可视化。了解数字干预措施的运作方式至关重要;一种方法是通过评估使用情况和探索用户体验来评估参与度。实际使用与预期使用的一致性(依从性)是参与度的一个重要因素。
本研究旨在描述接受新辅助化疗的乳腺癌患者(n=74)和接受放疗治疗的局部晚期前列腺癌患者(n=75)在治疗期间对 Interaktor 应用程序的使用情况。
患者来自两项单独的随机对照试验的干预组:接受新辅助化疗的乳腺癌患者和接受放疗治疗的局部晚期前列腺癌患者。患者每天报告自己的症状。从基线问卷和病历中获取社会人口统计学和临床数据。从服务器中检索记录的数据使用情况,并进行描述性和多元回归分析。对患者进行电话访谈,了解他们对使用该应用程序的看法,并进行内容分析。
每天报告症状的依从性中位数为 83%。大多数患者使用了自我护理建议和免费短信功能。在接受乳腺癌治疗的患者中,较高的年龄预测会发送更多的免费短信(P=.04)。在接受前列腺癌治疗的患者中,较高的年龄(P=.01)和较高的教育水平(P=.04)预测自我护理建议的总浏览量增加,而较高的合并症(P=.004)预测自我护理建议的总浏览量减少。已婚或与伴侣同住预测对每天报告症状的更高依从性(P=.02)。每天报告症状会让人感到与医疗保健专业人员保持持续联系、被认可和安全。收到护士对症状警报的回复被认为很方便且非常有价值。治疗和时间相关因素会影响参与度。每天报告症状在治疗开始时被认为特别有意义。患者要求提供饮食和心理症状方面的建议,以及在治疗过程中随着患者的进展提供更全面和详细的信息。
患者对互动应用程序 Interaktor 的参与度很高。该应用程序通过与医疗保健专业人员的持续和便捷联系,促进了患者对自己护理的参与。预测能力因患者群体而异,但较高的年龄和较高的教育水平预测了两个患者群体对特定应用程序功能的更高使用。患者的相关性和互动性体验对他们的参与度产生了积极影响。