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The Impact of Digital Health Interventions for the Management of Type 2 Diabetes on Health and Social Care Utilisation and Costs: A Systematic Review.
Morris, Tiyi; Aspinal, Fiona; Ledger, Jean; Li, Keyi; Gomes, Manuel.
Afiliação
  • Morris T; Department of Applied Health Research, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. tiyi.morris@ucl.ac.uk.
  • Aspinal F; Department of Applied Health Research, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
  • Ledger J; Department of Applied Health Research, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
  • Li K; Department of Applied Health Research, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
  • Gomes M; Department of Applied Health Research, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
Pharmacoecon Open ; 7(2): 163-173, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36495462
ABSTRACT

BACKGROUND:

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.

OBJECTIVE:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

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. CLINICAL TRIAL REGISTRATION The study protocol was registered on PROSPERO before searches began in April 2021 (registration number CRD42020172621).

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Health_economic_evaluation / Systematic_reviews Idioma: En Revista: Pharmacoecon Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Health_economic_evaluation / Systematic_reviews Idioma: En Revista: Pharmacoecon Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido