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Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results
OBJECTIVES: Evidence-based decision-making is the sine qua non for safe and effective patient care and the long-term functioning of health systems. Since 2020 Digital Health Applications (DiHA, German DiGA) in Germany have been undergoing a systematic pathway to be reimbursed by statutory health ins...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490912/ https://www.ncbi.nlm.nih.gov/pubmed/36131288 http://dx.doi.org/10.1186/s12913-022-08500-6 |
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author | Lantzsch, Hendrikje Eckhardt, Helene Campione, Alessandro Busse, Reinhard Henschke, Cornelia |
author_facet | Lantzsch, Hendrikje Eckhardt, Helene Campione, Alessandro Busse, Reinhard Henschke, Cornelia |
author_sort | Lantzsch, Hendrikje |
collection | PubMed |
description | OBJECTIVES: Evidence-based decision-making is the sine qua non for safe and effective patient care and the long-term functioning of health systems. Since 2020 Digital Health Applications (DiHA, German DiGA) in Germany have been undergoing a systematic pathway to be reimbursed by statutory health insurance (SHI) which is attracting attention in other European countries. We therefore investigate coverage decisions on DiHA and the underlying evidence on health care effects, which legally include both medical outcomes and patient-centred structural and procedural outcomes. METHODS: Based on publicly available data of the Institute for Medicines and Medical Devices searched between 08/2021 and 02/2022, all DiHA listed in the corresponding registry and thus reimbursable by the SHI were systematically investigated and presented descriptively on the basis of predefined criteria, such as clinical condition, and costs. The clinical trials on DiHA permanently included in the registry were reviewed with regard to their study design, endpoints investigated, the survey instruments used, and whether an intention-to-treat analysis was performed. Risk of bias was assessed using the ROB II tool. RESULTS: By February 2022, 30 DiHA had been included in the DiHA registry, one third of them permanently and two thirds conditionally. Most DiHA were therapeutic applications for mental illness based on cognitive behavioural therapy. For all permanently included DiHA, randomised controlled trials were conducted to demonstrate the impact on health care effects. While medical outcomes were investigated for all of these DiHA, patient-centred structural and procedural outcomes were rarely investigated. The majority of clinical trials showed a high risk of bias, mainly due to insufficient reporting quality. Overall, the prices for DiHA covered by SHI are on average around € 150 per month (min. € 40; max. € 248). CONCLUSIONS: Evidence-based decision-making on coverage of DiHA leaves room for improvements both in terms of reporting-quality and the use of patient-centred structural and procedural outcomes in addition to medical outcomes. With appropriate evidence, DiHA can offer an opportunity as an adjunct to existing therapy while currently the high risk of bias of the trials raises doubts about the justification of its high costs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08500-6. |
format | Online Article Text |
id | pubmed-9490912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94909122022-09-22 Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results Lantzsch, Hendrikje Eckhardt, Helene Campione, Alessandro Busse, Reinhard Henschke, Cornelia BMC Health Serv Res Research OBJECTIVES: Evidence-based decision-making is the sine qua non for safe and effective patient care and the long-term functioning of health systems. Since 2020 Digital Health Applications (DiHA, German DiGA) in Germany have been undergoing a systematic pathway to be reimbursed by statutory health insurance (SHI) which is attracting attention in other European countries. We therefore investigate coverage decisions on DiHA and the underlying evidence on health care effects, which legally include both medical outcomes and patient-centred structural and procedural outcomes. METHODS: Based on publicly available data of the Institute for Medicines and Medical Devices searched between 08/2021 and 02/2022, all DiHA listed in the corresponding registry and thus reimbursable by the SHI were systematically investigated and presented descriptively on the basis of predefined criteria, such as clinical condition, and costs. The clinical trials on DiHA permanently included in the registry were reviewed with regard to their study design, endpoints investigated, the survey instruments used, and whether an intention-to-treat analysis was performed. Risk of bias was assessed using the ROB II tool. RESULTS: By February 2022, 30 DiHA had been included in the DiHA registry, one third of them permanently and two thirds conditionally. Most DiHA were therapeutic applications for mental illness based on cognitive behavioural therapy. For all permanently included DiHA, randomised controlled trials were conducted to demonstrate the impact on health care effects. While medical outcomes were investigated for all of these DiHA, patient-centred structural and procedural outcomes were rarely investigated. The majority of clinical trials showed a high risk of bias, mainly due to insufficient reporting quality. Overall, the prices for DiHA covered by SHI are on average around € 150 per month (min. € 40; max. € 248). CONCLUSIONS: Evidence-based decision-making on coverage of DiHA leaves room for improvements both in terms of reporting-quality and the use of patient-centred structural and procedural outcomes in addition to medical outcomes. With appropriate evidence, DiHA can offer an opportunity as an adjunct to existing therapy while currently the high risk of bias of the trials raises doubts about the justification of its high costs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08500-6. BioMed Central 2022-09-21 /pmc/articles/PMC9490912/ /pubmed/36131288 http://dx.doi.org/10.1186/s12913-022-08500-6 Text en © The Author(s) 2022, corrected publication 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 Lantzsch, Hendrikje Eckhardt, Helene Campione, Alessandro Busse, Reinhard Henschke, Cornelia Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results |
title | Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results |
title_full | Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results |
title_fullStr | Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results |
title_full_unstemmed | Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results |
title_short | Digital health applications and the fast-track pathway to public health coverage in Germany: challenges and opportunities based on first results |
title_sort | digital health applications and the fast-track pathway to public health coverage in germany: challenges and opportunities based on first results |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490912/ https://www.ncbi.nlm.nih.gov/pubmed/36131288 http://dx.doi.org/10.1186/s12913-022-08500-6 |
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