Morris Tiyi, Aspinal Fiona, Ledger Jean, Li Keyi, Gomes Manuel
Department of Applied Health Research, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
Pharmacoecon Open. 2023 Mar;7(2):163-173. doi: 10.1007/s41669-022-00377-9. Epub 2022 Dec 10.
Digital health interventions such as smartphone applications (mHealth) or Internet resources (eHealth) are increasingly used to improve the management of chronic conditions, such as type 2 diabetes mellitus. These digital health interventions can augment or replace traditional health services and may be paid for using healthcare budgets. While the impact of digital health interventions for the management of type 2 diabetes on health outcomes has been reviewed extensively, less attention has been paid to their economic impact.
This study aims to critically review existing literature on the impact of digital health interventions for the management of type 2 diabetes on health and social care utilisation and costs.
Studies that assessed the impact on health and social care utilisation of digital health interventions for type 2 diabetes were included in the study. We restricted the digital health interventions to information provision, self-management and behaviour management. Four databases were searched (MEDLINE, EMBASE, PsycINFO and EconLit) for articles published between January 2010 and March 2021. The studies were analysed using a narrative synthesis approach. The risk of bias and reporting quality were appraised using the ROBINS-I checklist.
The review included 22 studies. Overall, studies reported mixed evidence on the impact of digital health interventions on health and social care utilisation and costs, and suggested this impact differs according to the healthcare utilisation component. For example, digital health intervention use was associated with lower medication use and fewer outpatient appointments, whereas evidence on general practitioner visits and inpatient admissions was mixed. Most reviewed studies focus on a single component of healthcare utilisation.
The review shows no clear evidence of an impact of digital health interventions on health and social care utilisation or costs. Further work is needed to assess the impact of digital health interventions across a broader range of care utilisation components and settings, including social and mental healthcare services.
The study protocol was registered on PROSPERO before searches began in April 2021 (registration number: CRD42020172621).
数字健康干预措施,如智能手机应用程序(移动健康)或互联网资源(电子健康),正越来越多地用于改善慢性病(如2型糖尿病)的管理。这些数字健康干预措施可以增强或取代传统的健康服务,并且可以使用医疗保健预算来支付费用。虽然数字健康干预措施对2型糖尿病管理的健康结果影响已得到广泛综述,但对其经济影响的关注较少。
本研究旨在批判性地综述关于数字健康干预措施对2型糖尿病管理的健康和社会护理利用及成本影响的现有文献。
评估数字健康干预措施对2型糖尿病健康和社会护理利用影响的研究纳入本研究。我们将数字健康干预措施限制为信息提供、自我管理和行为管理。检索了四个数据库(MEDLINE、EMBASE、PsycINFO和EconLit),以查找2010年1月至2021年3月发表的文章。使用叙述性综合方法对研究进行分析。使用ROBINS-I清单评估偏倚风险和报告质量。
该综述纳入了22项研究。总体而言,研究报告了数字健康干预措施对健康和社会护理利用及成本影响的混合证据,并表明这种影响因医疗保健利用组成部分而异。例如,数字健康干预措施的使用与较低的药物使用和较少的门诊预约相关,而关于全科医生就诊和住院入院的证据则好坏参半。大多数综述研究关注医疗保健利用的单个组成部分。
该综述未显示数字健康干预措施对健康和社会护理利用或成本有明确影响的证据。需要进一步开展工作,以评估数字健康干预措施在更广泛的护理利用组成部分和环境(包括社会和精神医疗服务)中的影响。
该研究方案于2021年4月搜索开始前在PROSPERO上注册(注册号:CRD42020172621)。