O'Leary Katie, Vizer Lisa, Eschler Jordan, Ralston James, Pratt Wanda
University of Washington, Seattle, WA;
Group Health Research Institute, Seattle, WA.
AMIA Annu Symp Proc. 2015 Nov 5;2015:991-1000. eCollection 2015.
Healthcare providers are moving towards tailoring self-management interventions to include the communication technologies patients use in daily life. Accurate understanding of patients' attitudes towards both technology and involvement in managing chronic conditions will be critical for informing effective self-management strategies. The tailoring of these interventions, however, could be undermined by providers' implicit biases based on patient age, race, and education level that have been shown to negatively affect care. To inform the design and tailoring of self-management interventions, we elicited attitudes toward technology use and participation in care of 40 participants in a maximum variation sample. The analysis revealed three participant clusters-"Proactive Techies," "Indie Self-Managers," and "Remind Me! Non-Techies"-that represent varying attitudes toward health behaviors and technologies that were independent of race, education level, and age. Our approach provides insight into how people prioritize important values related to health participation and technology.
医疗服务提供者正朝着定制自我管理干预措施的方向发展,将患者日常生活中使用的通信技术纳入其中。准确了解患者对技术以及参与慢性病管理的态度,对于制定有效的自我管理策略至关重要。然而,这些干预措施的定制可能会受到医疗服务提供者基于患者年龄、种族和教育水平的隐性偏见的影响,这些偏见已被证明会对医疗产生负面影响。为了为自我管理干预措施的设计和定制提供信息,我们在一个最大变异样本中,对40名参与者进行了关于技术使用和参与护理的态度调查。分析揭示了三个参与者群体——“积极的技术达人”、“独立的自我管理者”和“提醒我!非技术达人”——它们代表了对健康行为和技术的不同态度,且这些态度与种族、教育水平和年龄无关。我们的方法深入了解了人们如何对与健康参与和技术相关的重要价值观进行排序。