Digital innovation evaluation: user perceptions of innovation readiness, digital confidence, innovation adoption, user experience and behaviour change
Digital innovation evaluation: user perceptions of innovation readiness, digital confidence, innovation adoption, user experience and behaviour change
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DOI：
10.1136/bmjhci-2019-000018
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发表时间：
2019-02-01
影响因子：
4.1
通讯作者：
Benson, Tim
中科院分区：
文献类型：
--
作者：
Benson, Tim
背景 创新传播是全球卫生系统的一个关键政策目标，但采用成功率差异很大。我们开发了一套简短的通用用户报告措施，以帮助了解医疗保健创新如何以及为何传播。这项工作以文献以及开发和使用患者报告的结果衡量标准的实践经验为基础。衡量标准创新准备度分数衡量用户对新想法的开放程度和最新程度的看法，以及他们的组织是否愿意接受创新并有能力创新。它基于罗杰斯的创新分类（创新者、早期采用者、早期大众等）。数字信心得分从熟悉度、社会压力、支持度和数字自我效能等维度评估用户的数字素养和使用数字产品的信心。创新采用得分根据实施前、实施中和实施后的一致性和反思性思想对采用过程进行评分。它基于标准化过程理论。用户满意度衡量标准从实用性、易用性、支持和满意度方面评估数字产品。行为改变衡量标准基于 COM-B 模型，涵盖用户对其改变行为的能力、机会和动机的看法。这些措施已被映射到 Greenhalgh 的 NASSS 框架（健康和护理技术的不采用、放弃以及对扩大、传播和可持续性的挑战）。 结论 这些工具衡量数字健康创新的不同方面，并可能有助于预测创新传播、传播和扩散计划的成功。
Background Innovation spread is a key policy objective for health systems world-wide, but adoption success varies enormously. We have developed a set of short generic user-reported measures to help understand how and why healthcare innovations spread. This work builds on the literature and on practical experience in developing and using patient-reported outcome measures.Measures The Innovation Readiness Score measures user perceptions of how much they are open to and up-to-date with new ideas, and whether their organisations are receptive to and capable of innovation. It is based on Rogers' classification of innovativeness (innovator, early adopter, early majority, etc). The Digital Confidence Score rates users' digital literacy and confidence to use digital products, with dimensions of familiarity, social pressure, support and digital self-efficacy. The Innovation Adoption Score rates the adoption process in terms of coherence and reflective thought before, during and after implementation. It is based on Normalisation Process Theory. The User Satisfaction measure assesses a digital product in terms of usefulness, ease of use, support and satisfaction. The Behaviour Change measure covers user perceptions of their capability, opportunity and motivation to change behaviour, based on the COM-B model. These measures have been mapped onto Greenhalgh's NASSS Framework (non-adoption, abandonment and challenges to scale-up, spread and sustainability of health and care technologies).Conclusion These tools measure different aspects of digital health innovations and may help predict the success of innovation dissemination, diffusion and spread programmes.