Petros Nuhamin Gebrewold, Hadlaczky Gergo, Carletto Sara, Martinez Sergio Gonzalez, Ostacoli Luca, Ottaviano Manuel, Meyer Björn, Scilingo Enzo Pasquale, Carli Vladimir
National Centre for Suicide Research and Prevention of Mental Ill-Health, Department of Learning, Informatics, Ethics and Management, Karolinska Institute, Stockholm, Sweden.
Department of Neuroscience "Rita Levi Montalcini", Università degli Studi di Torino, Turin, Italy.
JMIR Form Res. 2022 Jun 8;6(6):e33734. doi: 10.2196/33734.
eHealth interventions have become a topic of interest in the field of mental health owing to their increased coordination and integration of different elements of care, in treating and preventing mental ill health in patients with somatic illnesses. However, poor usability, learnability, and user engagement might affect the effectiveness of an eHealth intervention. Identifying different sociodemographic characteristics that might be associated with higher perceived usability can help improve the usability of eHealth interventions.
This study aimed to identify the sociodemographic characteristics that might be associated with the perceived usability of the NEVERMIND (Neurobehavioural Predictive and Personalised Modelling of Depressive Symptoms During Primary Somatic Diseases) eHealth system, comprising a mobile app and a sensorized shirt, in reducing comorbid depressive symptoms in patients with breast or prostate cancer.
The study included a total of 129 patients diagnosed with breast (n=80, 62%) or prostate (n=49, 38%) cancer, who received a fully automated mobile app and sensorized shirt (NEVERMIND system). Sociodemographic data on age, sex, marital status, education level, and employment status were collected at baseline. Usability outcomes included the System Usability Scale (SUS), a subjective measure that covers different aspects of system usability; the user version of the Mobile App Rating Scale (uMARS), a user experience questionnaire; and a usage index, an indicator calculated from the number of days patients used the NEVERMIND system during the study period.
The analysis was based on 108 patients (n=68, 63%, patients with breast cancer and n=40, 37%, patients with prostate cancer) who used the NEVERMIND system for an average of 12 weeks and completed the study. The overall mean SUS score at 12 weeks was 73.4 (SD 12.5), which indicates that the NEVERMIND system has good usability, with no statistical differences among different sociodemographic characteristics. The global uMARS score was 3.8 (SD 0.3), and women rated the app higher than men (β=.16; P=.03, 95% CI 0.02-0.3), after adjusting for other covariates. No other sociodemographic characteristics were associated with higher uMARS scores. There was a statistical difference in the use of the NEVERMIND system between women and men. Women had significantly lower use (β=-0.13; P=.04, 95% CI -0.25 to -0.01), after adjusting for other covariates.
The findings suggest that the NEVERMIND system has good usability according to the SUS and uMARS scores. There was a higher favorability of mobile apps among women than among men. However, men had significantly higher use of the NEVERMIND system. Despite the small sample size and low variability, there is an indication that the NEVERMIND system does not suffer from the digital divide, where certain sociodemographic characteristics are more associated with higher usability.
German Clinical Trials Register RKS00013391; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013391.
电子健康干预因其在协调和整合不同护理要素、治疗和预防躯体疾病患者心理健康问题方面的作用,已成为心理健康领域的一个热门话题。然而,较差的可用性、可学习性和用户参与度可能会影响电子健康干预的效果。识别可能与更高的感知可用性相关的不同社会人口学特征,有助于提高电子健康干预的可用性。
本研究旨在确定社会人口学特征,这些特征可能与NEVERMIND(原发性躯体疾病期间抑郁症状的神经行为预测和个性化建模)电子健康系统的感知可用性相关。该系统包括一个移动应用程序和一件装有传感器的衬衫,用于减轻乳腺癌或前列腺癌患者的共病抑郁症状。
本研究共纳入129例诊断为乳腺癌(n = 80,62%)或前列腺癌(n = 49,38%)的患者,他们均接受了一个全自动移动应用程序和装有传感器的衬衫(NEVERMIND系统)。在基线时收集了关于年龄、性别、婚姻状况、教育水平和就业状况的社会人口学数据。可用性结果包括系统可用性量表(SUS),这是一种涵盖系统可用性不同方面的主观测量方法;移动应用程序评分量表用户版(uMARS),这是一份用户体验问卷;以及一个使用指数,该指数根据患者在研究期间使用NEVERMIND系统的天数计算得出。
分析基于10八位使用NEVERMIND系统平均12周并完成研究的患者(n = 68,63%,乳腺癌患者;n = 40,37%,前列腺癌患者)。12周时SUS的总体平均得分为73.4(标准差12.5),这表明NEVERMIND系统具有良好的可用性,不同社会人口学特征之间无统计学差异。uMARS的总体得分为3.8(标准差0.3),在调整其他协变量后,女性对该应用程序的评分高于男性(β = 0.16;P = 0.03,95%置信区间0.02 - 0.3)。没有其他社会人口学特征与更高的uMARS评分相关。女性和男性在使用NEVERMIND系统方面存在统计学差异。在调整其他协变量后,女性的使用量显著更低(β = -0.13;P = 0.04,95%置信区间 -0.25至 -0.01)。
研究结果表明,根据SUS和uMARS评分,NEVERMIND系统具有良好的可用性。女性对移动应用程序的好感度高于男性。然而,男性对NEVERMIND系统的使用量显著更高。尽管样本量小且变异性低,但有迹象表明NEVERMIND系统不存在数字鸿沟问题,即某些社会人口学特征与更高的可用性更相关。
德国临床试验注册中心RKS00013391;https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013391 。