Kaklamanou Daphne, Nguyen Le, Al-Abbadey Miznah, Sangala Nick, Lewis Robert
School of Psychology, Sport and Health Sciences, University of Portsmouth, Portsmouth, United Kingdom.
Chronic Pain Service, St Mary's Hospital, Isle of Wight NHS Trust, Newport, United Kingdom.
PLOS Digit Health. 2024 Oct 9;3(10):e0000614. doi: 10.1371/journal.pdig.0000614. eCollection 2024 Oct.
Chronic Kidney Disease (CKD) is a long-term condition and a major health problem, which affects over 3.5 million adults in the UK. Use of digital technology has been proposed as a means of improving patient management. It is important to understand the factors that affect the acceptability of this technology to people living with chronic kidney disease. This study used the Technology Acceptance Model 3 (TAM) to investigate whether perceived ease of use and perceived usefulness could predict intention behaviour. It then investigated if intention to use digital technology predicted actual use.
This was a cross-sectional study whereby the TAM3 questionnaire was sent online to people known to have chronic kidney disease via Kidney Care UK. The characteristics of the respondents (age, sex, CKD stage) were recorded.
The questionnaire was sent to 12,399 people, of which 229 (39% drop out) completed it. The respondents' age ranged from 24-90 years and 45% (n = 102) were male. Thirty-five percent of participants had advanced kidney care, 33% (n = 76) had kidney transplant and 22% (n = 51) had CKD. A multiple regression analysis showed a perceived ease of use and perceived usefulness of the technology predicted behaviour intention to use digital health technology. Behaviour intention did not significantly predict actual use behaviour.
Perceived usefulness and perceived ease of use are important factors in determining the intention of people with CKD to use digital healthcare. However, a gap exists between this intention and readiness to actually use the technology. This needs to be overcome if digital healthcare is to gain future traction in the clinical scenario.
慢性肾脏病（CKD）是一种长期病症，也是一个重大的健康问题，在英国影响着超过350万成年人。有人提议使用数字技术来改善患者管理。了解影响慢性肾脏病患者对该技术接受度的因素很重要。本研究使用技术接受模型3（TAM）来调查感知易用性和感知有用性是否能够预测意向行为。然后研究使用数字技术的意向是否能预测实际使用情况。
这是一项横断面研究，通过英国肾脏护理组织将TAM3问卷在线发送给已知患有慢性肾脏病的人。记录受访者的特征（年龄、性别、CKD分期）。
问卷发送给了12399人，其中229人（39%的脱落率）完成了问卷。受访者年龄在24至90岁之间，45%（n = 102）为男性。35%的参与者接受了高级肾脏护理，33%（n = 76）进行了肾脏移植，22%（n = 51）患有CKD。多元回归分析表明，技术的感知易用性和感知有用性预测了使用数字健康技术的行为意向。行为意向并未显著预测实际使用行为。
感知有用性和感知易用性是决定CKD患者使用数字医疗保健意向的重要因素。然而，这种意向与实际使用该技术的意愿之间存在差距。如果数字医疗保健要在未来临床场景中获得广泛应用，这一差距需要被克服。
