Telemedicine uptake behaviors and predictors of its acceptance among community-dwelling older adults with chronic diseases

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES
Su Wei Wan , Lina Choe , Gretel Jianlin Wong , Wee Ling Koh , Janelle Shaina Ng , Wee Hian Tan , Joanna Li Xin Ooi , Jacquelyn Melody , Jerrald Lau , Ker Kan Tan
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Abstract

Objectives

This study aimed to identify the determinants of telemedicine acceptance among older adults with chronic disease in the primary care setting, for the purpose of promoting their adoption of these remote care approaches in future unprecedented global health emergencies.

Methods

A cross-sectional quantitative assessment of telemedicine acceptance and perception was conducted among 200 outpatients ≥ 65 years conveniently sampled from two primary care centres in Singapore. Multivariate linear regressions were used to identify significant predictors of intention-to-use behaviors.

Results

Moderate levels of acceptability and perception were observed and about half of them (49 %) agreed to integrate telemedicine into existing care processes. Those with higher income (p = 0.003) or were more convinced of its benefits, ease of use, validation, plus a facilitative environment and positive impression of technology were more likely to utilise telemedicine (r = 0.19 to 0.84; all p < 0.05). Among these factors, the perceived ability of telemedicine to enhance care was the strongest determinant (β = 0.39; p < 0.001).

Conclusions

Findings show that continued efforts to demonstrate the impact of telemedicine in improving patient-reported outcomes are desperately needed alongside attempts to maximise its potential and eliminate barriers to its uptake.

Public interest summary

Telemedicine remains a promising care coordination modality for the older population provided it can function and perform up to the desired expectations and needs. Given deep concerns about how telemedicine might affect care involvement, quality and the status of their clinical conditions, greater efforts to propel this transition through various avenues such as offering telemedicine as a complementary service will be essential.
社区居住的老年慢性病患者远程医疗接受行为及其接受程度的预测因素
目的本研究旨在确定初级保健机构中慢性病老年人接受远程医疗的决定因素,以促进他们在未来前所未有的全球卫生突发事件中采用这些远程医疗方法。方法对来自新加坡两家初级保健中心的200名年龄≥65岁的门诊患者进行远程医疗接受度和感知度的横断面定量评估。使用多元线性回归来确定意向使用行为的显著预测因子。结果观察到中等水平的可接受性和认知度,大约一半(49%)的人同意将远程医疗纳入现有的护理流程。那些收入较高(p = 0.003)或更相信远程医疗的好处、易用性、有效性、便利的环境和对技术的积极印象的人更有可能利用远程医疗(r = 0.19至0.84;所有p <;0.05)。在这些因素中,远程医疗增强护理的感知能力是最强的决定因素(β = 0.39;p & lt;0.001)。研究结果表明,迫切需要继续努力证明远程医疗在改善患者报告结果方面的影响,同时尝试最大限度地发挥其潜力并消除其采用的障碍。远程医疗仍然是一种很有前途的老年人护理协调方式,只要它能达到预期的期望和需求。鉴于人们对远程医疗如何影响护理参与、质量和临床状况的深切关注,通过各种途径(如提供远程医疗作为补充服务)加大努力推动这一转变将是必不可少的。
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来源期刊
Health Policy and Technology
Health Policy and Technology Medicine-Health Policy
CiteScore
9.20
自引率
3.30%
发文量
78
审稿时长
88 days
期刊介绍: Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics
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