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Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review
BACKGROUND: Digital public health (DiPH) provides novel approaches for prevention, potentially leading to long-term health benefits in resource-limited health systems. However, cost-effectiveness of DiPH interventions is unclear. This systematized review investigates the use of decision-analytic mod...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024449/ https://www.ncbi.nlm.nih.gov/pubmed/36932436 http://dx.doi.org/10.1186/s12913-023-09280-3 |
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author | Lange, Oliver |
author_facet | Lange, Oliver |
author_sort | Lange, Oliver |
collection | PubMed |
description | BACKGROUND: Digital public health (DiPH) provides novel approaches for prevention, potentially leading to long-term health benefits in resource-limited health systems. However, cost-effectiveness of DiPH interventions is unclear. This systematized review investigates the use of decision-analytic modelling in health economic evaluations of DiPH primary prevention and health promotion interventions, focusing on intervention’s design, methods used, results, and reporting quality. METHODS: PubMed, CINAHL, and Web of Science were searched for studies of decision-analytic economic evaluations of digital interventions in primary prevention or health promotion, published up to June 2022. Intervention characteristics and selected items were extracted based on the Consolidated Health Economic Evaluation Reporting Standards (CHEERS). Incremental cost-effectiveness ratios (ICERs) were then extracted and price-adjusted to compare the economic evaluation results. Finally, the included studies’ reporting quality was assessed by building a score using CHEERS. RESULTS: The database search (including search update) produced 2,273 hits. After removing duplicates, 1,434 titles and abstracts were screened. Of the 89 studies meeting the full-text search criteria, 14 were ultimately reviewed. The most common targets were physical activity (five studies) and weight loss (four). Digital applications include text messages, web-based inventions, app-based interventions, e-learning devices, and the promotion of smartphone apps. The mean ICER of the 12 studies using quality-adjusted life years (QALYs) is €20,955 per QALY (min. − €3,949; max. €114,211). The mean of reported CHEERS items per study is 81% (min. 59%; max. 91%). CONCLUSIONS: This review only includes primary prevention and health promotion, and thus excludes other DiPH fields (e.g. secondary prevention). It also focuses on decision-analytic models, excluding study-based economic evaluations. Standard methods of economic evaluation could be adapted more to the specifics of DiPH by measuring the effectiveness of more current technologies through alternative methods, incorporating a societal perspective, and more clearly defining comparators. Nevertheless, the review demonstrates using common thresholds that the new field of DiPH shows potential for cost-effective preventive interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09280-3. |
format | Online Article Text |
id | pubmed-10024449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100244492023-03-19 Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review Lange, Oliver BMC Health Serv Res Research BACKGROUND: Digital public health (DiPH) provides novel approaches for prevention, potentially leading to long-term health benefits in resource-limited health systems. However, cost-effectiveness of DiPH interventions is unclear. This systematized review investigates the use of decision-analytic modelling in health economic evaluations of DiPH primary prevention and health promotion interventions, focusing on intervention’s design, methods used, results, and reporting quality. METHODS: PubMed, CINAHL, and Web of Science were searched for studies of decision-analytic economic evaluations of digital interventions in primary prevention or health promotion, published up to June 2022. Intervention characteristics and selected items were extracted based on the Consolidated Health Economic Evaluation Reporting Standards (CHEERS). Incremental cost-effectiveness ratios (ICERs) were then extracted and price-adjusted to compare the economic evaluation results. Finally, the included studies’ reporting quality was assessed by building a score using CHEERS. RESULTS: The database search (including search update) produced 2,273 hits. After removing duplicates, 1,434 titles and abstracts were screened. Of the 89 studies meeting the full-text search criteria, 14 were ultimately reviewed. The most common targets were physical activity (five studies) and weight loss (four). Digital applications include text messages, web-based inventions, app-based interventions, e-learning devices, and the promotion of smartphone apps. The mean ICER of the 12 studies using quality-adjusted life years (QALYs) is €20,955 per QALY (min. − €3,949; max. €114,211). The mean of reported CHEERS items per study is 81% (min. 59%; max. 91%). CONCLUSIONS: This review only includes primary prevention and health promotion, and thus excludes other DiPH fields (e.g. secondary prevention). It also focuses on decision-analytic models, excluding study-based economic evaluations. Standard methods of economic evaluation could be adapted more to the specifics of DiPH by measuring the effectiveness of more current technologies through alternative methods, incorporating a societal perspective, and more clearly defining comparators. Nevertheless, the review demonstrates using common thresholds that the new field of DiPH shows potential for cost-effective preventive interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09280-3. BioMed Central 2023-03-17 /pmc/articles/PMC10024449/ /pubmed/36932436 http://dx.doi.org/10.1186/s12913-023-09280-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lange, Oliver Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review |
title | Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review |
title_full | Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review |
title_fullStr | Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review |
title_full_unstemmed | Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review |
title_short | Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review |
title_sort | health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024449/ https://www.ncbi.nlm.nih.gov/pubmed/36932436 http://dx.doi.org/10.1186/s12913-023-09280-3 |
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