Breil Bernhard, Kremer Lisanne, Hennemann Severin, Apolinário-Hagen Jennifer
Hochschule Niederrhein, University of Applied Sciences.
University of Mainz.
Stud Health Technol Inform. 2019 Sep 3;267:282-288. doi: 10.3233/SHTI190839.
Mobile health applications (mHealth apps) have the potential to help patients with chronic conditions such as hypertension by supporting self-management activities in daily life. However, the uptake of mHealth apps remains poor among patients. To improve the utilization of mHealth apps for hypertension, the analysis of the behavioral intention to use such applications must consider personality traits and illness-related perceptions.
Adults with hypertension in Germany and Austria filled out a self-administered questionnaire in a cross-sectional study based on the UTAUT-model in order to identify potential predictors for the behavioral intention to use mHealth applications as an indicator for their early acceptance. Beyond the four core determinants of acceptance of the UTAUT (performance expectancy, effort expectancy, social influence and facilitating conditions), self-efficacy, openness to experience and perceived health threat were analyzed as predictors.
145 participants (mean age 52.51 years, SD 14.33; 60% female) completed the survey. Acceptance was moderate on average (M = 3.26, SD = 1.07, min 1 to max 5). In a multiple hierarchical regression, performance expectancy and effort expectancy were confirmed as significant predictors of acceptance (step 1, R2 = .57, p < .001), while self-efficacy could not be confirmed (step 2, p = .87). In addition, perceived health threat (β = .12, p < .05) and openness to experience (β = .22, p < .001) had a significant influence on acceptance of mHealth apps for hypertension (step 3, overall model with R2 = .62). Age showed a negative association with the intention to use (β = .22, p = .005) while no influence of gender could be found (p = .06).
Above expectations regarding effectiveness and usability, openness to experience and perceived health threat make a significant contribution in predicting the acceptance of mHealth solutions in the field of chronic diseases.
移动健康应用程序（移动医疗应用）有潜力通过支持日常生活中的自我管理活动来帮助患有高血压等慢性病的患者。然而，患者对移动医疗应用的接受程度仍然很低。为了提高移动医疗应用在高血压治疗中的利用率，对使用此类应用的行为意图进行分析时必须考虑人格特质和与疾病相关的认知。
德国和奥地利的成年高血压患者在一项基于UTAUT模型的横断面研究中填写了一份自填式问卷，以确定使用移动医疗应用的行为意图的潜在预测因素，作为早期接受度的指标。除了UTAUT模型的四个核心接受决定因素（绩效期望、努力期望、社会影响和便利条件）外，还分析了自我效能感、经验开放性和感知健康威胁作为预测因素。
145名参与者（平均年龄52.51岁，标准差14.33；60%为女性）完成了调查。接受度平均适中（M = 3.26，标准差 = 1.07，最小值1至最大值5）。在多元层次回归中，绩效期望和努力期望被确认为接受度的显著预测因素（第1步，R2 = 0.57，p < 0.001），而自我效能感未得到证实（第2步，p = 0.87）。此外，感知健康威胁（β = 0.12，p < 0.05）和经验开放性（β = 0.22，p < 0.001）对高血压移动医疗应用的接受度有显著影响（第3步，总体模型R2 = 0.62）。年龄与使用意图呈负相关（β = 0.22，p = 0.005），而未发现性别有影响（p = 0.06）。
除了对有效性和可用性的期望外，经验开放性和感知健康威胁在预测慢性病领域移动医疗解决方案的接受度方面做出了重大贡献。
