了解影响青少年癌症幸存者支持性护理数字健康干预措施实施的多层次因素:采用正念移动应用程序的决定因素。

Gary Kwok, Angela Senger, Archana Sharma, Ivelisse Mandato, Katie A Devine
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引用次数: 0

摘要

背景:青少年癌症幸存者由于其独特的发育和医疗需求,面临着心理困扰的风险。医疗服务提供者可以利用技术的便利性和吸引力为这一弱势群体提供支持性护理。本研究以循证的正念移动干预为案例,旨在确定患者、医疗服务提供者和组织层面在支持性护理和在 AYA 幸存者护理中实施数字健康干预的主要障碍和促进因素:对利益相关者进行了 20 次半结构化访谈,其中包括青壮年幸存者(n = 10;18-29 岁之间)、临床提供者和管理者(n = 10)。对访谈内容进行了誊写,并使用实施研究综合框架(CFIR)和理论领域框架(TDF)互补框架对访谈内容进行了演绎映射:结果:结果表明,成本、患者需求和资源等因素在幸存者和医疗服务提供者中都很普遍。医疗服务提供者与青壮年幸存者之间存在主要差异。医疗服务提供者采用和推广数字医疗干预措施受环境因素的影响最大,包括可用资源(内在环境)、文化(外在环境)以及网络和沟通(外在环境)。另一方面,幸存者强调个人和干预相关因素;他们报告说,社会影响和知识影响了他们采用和使用数字健康干预措施,包括冥想应用程序:这些结果从多个利益相关者那里发现了采用支持性护理数字健康干预措施的障碍和促进因素。这些结果可用于指导实施策略的制定,以提高幸存者护理中数字健康干预措施的采用率,最终改善青壮年癌症幸存者的社会心理健康。
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Understanding the multilevel factors influencing the implementation of digital health interventions for supportive care in Adolescents and Young Adult (AYA) cancer survivorship: determinants of adopting mindfulness-based mobile applications.

Background: Adolescents and Young Adult (AYA) cancer survivors are at risk for psychological distress due to their unique developmental and medical needs. Healthcare providers can leverage the convenience and appeal of technology to provide supportive care for this vulnerable population. Using evidence-based mindfulness-based mobile interventions as a case example, the goal of this study was to identify key patient-, provider-, and organization-level barriers and facilitators to supportive care and implementing digital health interventions in AYA survivorship care.

Methods: Twenty semi-structured interviews were conducted with stakeholders including AYA survivors (n = 10; between 18-29 years old) and clinical providers and administrators (n = 10). Interviews were transcribed and deductively mapped using the Consolidated Framework for Implementation Research (CFIR) and Theoretical Domains Framework (TDF) complementary frameworks.

Results: Results indicated that factors like cost and patients' needs and resources were prevalent among both survivors and providers. There were key differences between providers and AYA survivors. Providers' adoption and promotion of digital health interventions were influenced most strongly by contextual factors, including available resources (Inner Setting), culture (Outer Setting), and networks and communications (Outer Setting). On the other hand, survivors emphasized individual and intervention-related factors; they reported that social influence and knowledge influenced their adoption and use of digital health interventions, including meditation apps.

Conclusions: These results identified barriers and facilitators to the adoption of supportive care digital health interventions from multiple stakeholders. Results can be used to guide the development of implementation strategies to improve the uptake of digital health interventions in survivorship care, ultimately improving the psychosocial well-being of AYA cancer survivors.

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