移动医疗采用的行为意向:一项到急诊科就诊的老年人研究

Q2 Health Professions
Mathew Aranha , Jonah Shemie , Kirstyn James , Conor Deasy , Ciara Heavin
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引用次数: 0

摘要

2019冠状病毒病大流行凸显了向弱势群体,特别是受到卫生服务中断严重影响的老年人提供优质卫生保健的挑战。在这一群体中,移动医疗(mHealth)越来越多地用于远程医疗服务提供;然而,各种因素可能会限制其采用。目的确定在急症医院就诊的老年人(65岁以上)中移动设备使用的流行程度,并探讨他们使用移动健康的意愿。方法采用方便抽样的横断面研究方法,招募65岁以上的成年人完成一份28题、5点李克特问卷,问卷采用技术接受与使用统一理论(UTAUT)编制。结果本研究包括119名老年人。53名参与者(44.5%)没有智能手机,53名参与者(44.5%)从未使用过智能手机。66名参与者(55.5%)表示有意使用移动医疗,而53名参与者(44.5%)要么模棱两可,要么无意使用。智能手机用户比非智能手机用户更有可能使用移动健康(OR:3.27, CI: 1.53-6.95)。参与者表现出高自我效能(中位数 = 4.0),并期望mHealth以最小的努力(中位数 = 3.33)表现良好(中位数 = 3.67)。在这个群体中,打算使用预测的年龄(β = 0.163,p = 0.03),性能寿命(β = 0.329,p = 0.01),工作寿命(β = 0.231,p = 0.01)和主观健康状况(β = −0.171,p = 0.01)。结论:许多在急症医院就诊的老年人仍然对移动医疗不感兴趣。这与最少的移动设备体验有关。要让老年人从日益数字化的医疗环境中受益,就需要找到创造性的方法,让他们参与到增加移动医疗服务使用的项目中来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavioural intention of mobile health adoption: A study of older adults presenting to the emergency department

Background

The COVID-19 pandemic highlighted the challenges of providing quality healthcare to vulnerable populations, especially older adults who are disproportionately affected by health service disruptions. Increasingly, mobile health (mHealth) is used for remote healthcare service delivery in this group; however, a variety of factors may limit its adoption.

Aims

To identify the prevalence of mobile device usage among older adults (65yrs+) who present to acute hospitals and explore their willingness to use mHealth.

Methods

A cross-sectional study was conducted using convenience sampling to recruit adults over 65 years to complete a 28 question, 5-point-Likert questionnaire developed using the Unified Theory of Acceptance and Use of Technology (UTAUT).

Results

This study included 119 older adults. Fifty-three participants (44.5%) did not own a smartphone, and 53 (44.5%) had never used one. Sixty-six participants (55.5%) indicated an intention to use mHealth while 53 (44.5%) were either ambivalent or had no intention to use it. Smartphone owners were significantly more likely to use mHealth (OR:3.27, CI:1.53–6.95) than non-owners. Participants showed high self-efficacy (median = 4.0) and expected mHealth to perform well (median = 3.67) with minimal effort (median = 3.33). Within this cohort, intention to use is predicted by age (β = 0.163, p = 0.03), performance expectancy (β = 0.329, p = 0.01), effort expectancy (β = 0.231, p = 0.01) and subjective health status (β = −0.171, p = 0.01).

Conclusions

Many older adults attending acute hospitals remain disinclined in mHealth. This is associated with minimal experience to mobile devices. Empowering older adults to benefit from the increasingly digital landscape of healthcare will require uncovering creative ways to engage them in programs that increase their use of mHealth services.

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来源期刊
Smart Health
Smart Health Computer Science-Computer Science Applications
CiteScore
6.50
自引率
0.00%
发文量
81
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