The relationship between treatment burden and the use of telehealth technologies among patients with chronic conditions: A scoping review

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Health Policy and Technology Pub Date : 2024-06-01 DOI:10.1016/j.hlpt.2024.100855
Farah Tahsin , Tamara Bahr , James Shaw , Aviv Shachak , Carolyn Steele Gray
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Abstract

Background

Patients managing chronic conditions often face significant treatment burdens due to the long-term nature of their care. Treatment burden refers to the workload associated with the self-management of chronic conditions. While telehealth is commonly used to support these patients, there is a growing concern about its impact on marginalized patient populations. Specifically, we lack a comprehensive overview on how and what types of telehealth can increase or minimize the perceived treatment burden among this patient population.

Objective

To synthesize evidence on the relationship between treatment burden and telehealth among patients with chronic conditions and their caregivers.

Methods

We used Arksey and O'Malley's five-step scoping review framework to identify relevant literature that was published from January 2004 to May 2023.

Results

Fifty-four studies were included in the review. We identified various ways telehealth increases or minimizes patients’ treatment burden. Some of the patient-reported benefits of telehealth regarding treatment burden were reducing time and cost associated with travel to the clinics. Conversely, some burdens associated with telehealth were making sense of the large volume of complex data generated by health technologies, and the extra work required to set up and learn about new technology.

Conclusion

Review findings emphasize the importance of considering the concept of treatment burden while introducing telehealth-based interventions to support patients and their caregivers with chronic conditions. Future research needs to identify how to minimize the treatment burden associated with telehealth while implementing new telehealth interventions.

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慢性病患者的治疗负担与远程医疗技术使用之间的关系:范围综述
背景慢性病患者由于需要长期护理,往往面临着巨大的治疗负担。治疗负担是指与慢性病自我管理相关的工作量。虽然远程医疗通常用于支持这些患者,但人们越来越关注其对边缘化患者群体的影响。具体来说,我们缺乏关于远程医疗如何以及何种类型的远程医疗可以增加或最小化这类患者群体的治疗负担的全面概述。方法我们使用 Arksey 和 O'Malley 的五步范围综述框架来识别 2004 年 1 月至 2023 年 5 月期间发表的相关文献。我们确定了远程医疗增加或减轻患者治疗负担的各种方式。患者报告的远程医疗在治疗负担方面的一些好处是减少了前往诊所的时间和费用。相反,与远程保健相关的一些负担是如何理解健康技术产生的大量复杂数据,以及设置和学习新技术所需的额外工作。未来的研究需要确定如何在实施新的远程保健干预措施时最大限度地减少与远程保健相关的治疗负担。
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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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