Abstract：
BACKGROUND: Mobile health (mHealth) implementation is crucial for developing sustainable healthcare systems, but it faces the challenge of user acceptance. Extending traditional acceptance models allows for the cognitive, emotional and social aspects of engaging with mHealth to be captured, creating a more comprehensive understanding of users\' intentions to use it in the future. User-centred intervention studies based on users\' real experiences with mHealth are essential for accurate assessments and for improving upon studies that rely merely on anticipated mHealth use.
METHODS: An intervention study was conducted with 103 patients with at least one chronic condition (type 2 diabetes and/or arterial hypertension) who had used an mHealth service for three months. They were recruited through purposive sampling at a community health centre in Slovenia. Path analysis was applied to the survey data collected after a three-month testing period to validate an explanatory model with eight hypotheses.
RESULTS: The intensity of mHealth use affected usability, which in turn affected acceptability, the psychosocial impacts of engagement with mHealth and intention for future use. The results showed that the intensity of mHealth use did not affect mHealth acceptability. Likewise, acceptability did not affect the psychosocial impacts of engagement with mHealth or the intention for its future use. Notably, perceptions of the psychosocial impacts of mHealth had no significant effect on the intention for future use.
CONCLUSIONS: Usability and intensity of use play a central role in the post-intervention usage of mHealth, offering valuable insights for policymakers and healthcare providers involved in the delivery of mHealth-based treatment to patients with chronic diseases.
METHODS: An intervention study was conducted with 103 patients with at least one chronic condition (type 2 diabetes and/or arterial hypertension) who had used an mHealth service for three months. They were recruited through purposive sampling at a community health centre in Slovenia. Path analysis was applied to the survey data collected after a three-month testing period to validate an explanatory model with eight hypotheses.
RESULTS: The intensity of mHealth use affected usability, which in turn affected acceptability, the psychosocial impacts of engagement with mHealth and intention for future use. The results showed that the intensity of mHealth use did not affect mHealth acceptability. Likewise, acceptability did not affect the psychosocial impacts of engagement with mHealth or the intention for its future use. Notably, perceptions of the psychosocial impacts of mHealth had no significant effect on the intention for future use.
CONCLUSIONS: Usability and intensity of use play a central role in the post-intervention usage of mHealth, offering valuable insights for policymakers and healthcare providers involved in the delivery of mHealth-based treatment to patients with chronic diseases.
摘要：
背景：移动健康（mHealth）的实施对于发展可持续的医疗保健系统至关重要，但它面临着用户接受度的挑战。扩展传统的接受模型允许认知，与mHealth接触的情感和社会方面要被捕获，创建一个更全面的了解用户的意图，在未来使用它。基于用户对mHealth的真实体验的以用户为中心的干预研究对于准确评估和改进仅依赖于预期的mHealth使用的研究至关重要。
方法：对103名患有至少一种慢性疾病（2型糖尿病和/或动脉高血压）的患者进行了干预研究，这些患者使用了mHealth服务三个月。他们是在斯洛文尼亚的一个社区卫生中心通过有目的的抽样招募的。在三个月的测试期后，对收集的调查数据进行了路径分析，以验证具有八个假设的解释性模型。
结果：mHealth使用的强度影响了可用性，进而影响可接受性，参与mHealth的社会心理影响和未来使用意向。结果表明，mHealth使用的强度并不影响mHealth的可接受性。同样，可接受性并不影响参与mHealth的社会心理影响或其未来使用的意图。值得注意的是,对mHealth的心理社会影响的看法对未来使用的意图没有显著影响。
结论：可用性和使用强度在mHealth的干预后使用中起着核心作用，为参与向慢性病患者提供基于mHealth的治疗的政策制定者和医疗保健提供者提供有价值的见解。
方法：对103名患有至少一种慢性疾病（2型糖尿病和/或动脉高血压）的患者进行了干预研究，这些患者使用了mHealth服务三个月。他们是在斯洛文尼亚的一个社区卫生中心通过有目的的抽样招募的。在三个月的测试期后，对收集的调查数据进行了路径分析，以验证具有八个假设的解释性模型。
结果：mHealth使用的强度影响了可用性，进而影响可接受性，参与mHealth的社会心理影响和未来使用意向。结果表明，mHealth使用的强度并不影响mHealth的可接受性。同样，可接受性并不影响参与mHealth的社会心理影响或其未来使用的意图。值得注意的是,对mHealth的心理社会影响的看法对未来使用的意图没有显著影响。
结论：可用性和使用强度在mHealth的干预后使用中起着核心作用，为参与向慢性病患者提供基于mHealth的治疗的政策制定者和医疗保健提供者提供有价值的见解。
