Aguirre Vergara Franchesca, Pinker India, Fischer Aurélie, Seuring Till, Tichomirowa Maria A, de Beaufort Carine, Kamp Siri-Maria, Fagherazzi Guy, Aguayo Gloria A
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Ageing, Cancer and Disparities Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
BMJ Open. 2025 Jan 2;15(1):e088424. doi: 10.1136/bmjopen-2024-088424.
Diabetes distress can negatively affect the well-being of individuals with type 1 diabetes (T1D). Voice-based (VB) technology can be used to develop inexpensive and ecological tools for managing diabetes distress. This study explored the competencies to engage with digital health services, needs and preferences of individuals with T1D or caring for a child with this condition regarding VB technology to inform the tailoring of a co-designed tool for supporting diabetes distress management.
We used a mixed methods design. We performed a qualitative reflexive thematic analysis of semistructured interviews of people living with T1D or caring for a child with T1D, complemented by quantitative analysis (descriptive statistics).
12 adults living with T1D who attended diabetes centres or cared for a child with this condition participated in semistructured interviews to collect opinions about voice technology. They also responded to three questionnaires on sociodemographics and diabetes management, diabetes distress and e-health literacy.
Main: Patient experiences and perceptions derived from the coded transcriptions of interview data. Secondary: Quantitative data generated from Socio-Demographic and Diabetes Management questionnaire; Problem Areas in Diabetes Scale and e-Health Literacy Questionnaire.
Five major themes were generated from the participants' interview responses: (1) Experience of T1D, (2) Barriers to VB technology use, (3) Facilitators of VB technology, (4) Expectations of VB technology management in T1D, (5) Role of healthcare professionals in implementing VB technology for T1D. Most participants expressed a favourable view of voice technology for diabetes distress management. Trust in technology and healthcare professionals emerged as the predominant sentiment, with participants' current device type impacting anticipated barriers to adopting new technologies.
The results highlighted positive participant views towards VB technology. Device use, previous experience and health professional endorsement were influential facilitators of novel VB digital health solutions. Further research involving younger people with T1D could further contribute to the successful development of these tools.
ClinicalTrials.gov, NCT05517772.
糖尿病困扰会对1型糖尿病(T1D)患者的幸福感产生负面影响。基于语音的(VB)技术可用于开发价格低廉且符合生态的糖尿病困扰管理工具。本研究探讨了T1D患者或照顾患有该疾病儿童的人使用数字健康服务的能力、需求和偏好,以了解VB技术,从而为共同设计的支持糖尿病困扰管理的工具提供定制依据。
我们采用了混合方法设计。我们对T1D患者或照顾患有T1D儿童的人进行了半结构化访谈,并进行了定性反思性主题分析,同时辅以定量分析(描述性统计)。
12名患有T1D的成年人,他们前往糖尿病中心就诊或照顾患有该疾病的儿童,参与了半结构化访谈,以收集关于语音技术的意见。他们还回答了三份关于社会人口统计学和糖尿病管理、糖尿病困扰和电子健康素养的问卷。
主要指标:从访谈数据的编码转录本中得出的患者体验和看法。次要指标:社会人口统计学和糖尿病管理问卷、糖尿病问题领域量表和电子健康素养问卷产生的定量数据。
参与者的访谈回答产生了五个主要主题:(1)T1D的经历,(2)VB技术使用的障碍,(3)VB技术的促进因素,(4)对T1D中VB技术管理的期望,(5)医疗保健专业人员在为T1D实施VB技术中的作用。大多数参与者对用于糖尿病困扰管理的语音技术表示赞同。对技术和医疗保健专业人员的信任成为主要观点,参与者当前的设备类型影响了采用新技术的预期障碍。
结果突出了参与者对VB技术的积极看法。设备使用、既往经验和医疗保健专业人员的认可对新型VB数字健康解决方案具有重要的促进作用。涉及年轻T1D患者的进一步研究可能会为这些工具的成功开发做出更大贡献。
ClinicalTrials.gov,NCT05517772。