Economic Evaluations of mHealth Interventions for the Management of Type 2 Diabetes: A Scoping Review

Author:

Tornvall Ida12ORCID,Kenny Danelle1,Wubishet Befikadu Legesse3ORCID,Russell Anthony145,Menon Anish16,Comans Tracy1

Affiliation:

1. Centre for Health Services Research, The University of Queensland, Brisbane, QLD, Australia

2. Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia

3. Centre for Economic Impacts of Genomic Medicine, Macquarie Business School, Macquarie University, Sydney, NSW, Australia

4. Department of Endocrinology, Alfred Health, Melbourne, VIC, Australia

5. School of Public and Preventive Health, Monash University, Melbourne, VIC, Australia

6. Department of Endocrinology, Metro South Health, Brisbane, QLD, Australia

Abstract

Background: There is plenty of evidence supporting the clinical benefits of mHealth interventions for type 2 diabetes, but despite often being promoted as cost-effective or cost-saving, there is still limited research to support such claims. The objective of this review was to summarize and critically analyze the current body of economic evaluation (EE) studies for mHealth interventions for type 2 diabetes. Methods: Using a comprehensive search strategy, five databases were searched for full and partial EE studies for mHealth interventions for type 2 diabetes from January 2007 to March 2022. “mHealth” was defined as any intervention that used a mobile device with cellular technology to collect and/or provide data or information for the management of type 2 diabetes. The CHEERS 2022 checklist was used to appraise the reporting of the full EEs. Results: Twelve studies were included in the review; nine full and three partial evaluations. Text messages smartphone applications were the most common mHealth features. The majority of interventions also included a Bluetooth-connected medical device, eg, glucose or blood pressure monitors. All studies reported their intervention to be cost-effective or cost-saving, however, most studies’ reporting were of moderate quality with a median CHEERS score of 59%. Conclusion: The current literature indicates that mHealth interventions for type 2 diabetes can be cost-saving or cost-effective, however, the quality of the reporting can be substantially improved. Heterogeneity makes it difficult to compare study outcomes, and the failure to report on key items leaves insufficient information for decision-makers to consider.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference50 articles.

1. World Health Organization. Diabetes fact sheet. https://www.who.int/news-room/fact-sheets/detail/diabetes. Published 2021. Accessed June 12, 2023.

2. Australian Institute of Health and Welfare. Diabetes: impact. https://www.aihw.gov.au/reports/diabetes/diabetes/contents/impact. Published 2020. Accessed June 12, 2023.

3. The cost of diabetes in adults in Australia

4. Excess Costs of Medical Care for Patients With Diabetes in a Managed Care Population

5. World Health Organization. mHealth: use of appropriate digital technologies for public health. https://apps.who.int/gb/ebwha/pdf_files/WHA71/A71_20-en.pdf. Seventy-first World Health Assembly Report. Published 2018. Accessed June 12, 2023.

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