2023
DOI: 10.2196/49003
|View full text |Cite
|
Sign up to set email alerts
|

Digital Health Reimbursement Strategies of 8 European Countries and Israel: Scoping Review and Policy Mapping

Robin van Kessel,
Divya Srivastava,
Ilias Kyriopoulos
et al.

Abstract: Background The adoption of digital health care within health systems is determined by various factors, including pricing and reimbursement. The reimbursement landscape for digital health in Europe remains underresearched. Although various emergency reimbursement decisions were made during the COVID-19 pandemic to enable health care delivery through videoconferencing and asynchronous care (eg, digital apps), research so far has primarily focused on the policy innovations that facilitated this outsid… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1
1

Relationship

2
4

Authors

Journals

citations
Cited by 22 publications
(6 citation statements)
references
References 61 publications
0
6
0
Order By: Relevance
“…Recent analyses highlighting heterogeneity in trial design and timing underscore the importance of these efforts 11 . At present, the fragmented landscape of reimbursement and health technology assessment pathways for DTx poses significant challenges to both adoption and successful commercialization of DTx worldwide 34,35 . In the context of the US, the misalignment between the FDA's risk/benefit assessments and payer health economic evaluations can create barriers to both market access and viable reimbursement pathways for DTx products, as evidenced by the bankruptcy of Pear Therapeutics 31…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recent analyses highlighting heterogeneity in trial design and timing underscore the importance of these efforts 11 . At present, the fragmented landscape of reimbursement and health technology assessment pathways for DTx poses significant challenges to both adoption and successful commercialization of DTx worldwide 34,35 . In the context of the US, the misalignment between the FDA's risk/benefit assessments and payer health economic evaluations can create barriers to both market access and viable reimbursement pathways for DTx products, as evidenced by the bankruptcy of Pear Therapeutics 31…”
Section: Discussionmentioning
confidence: 99%
“…11 At present, the fragmented landscape of reimbursement and health technology assessment pathways for DTx poses significant challenges to both adoption and successful commercialization of DTx worldwide. 34,35 In the context of the US, the misalignment between the FDA's risk/benefit assessments and payer health economic evaluations can create barriers to both market access and viable reimbursement pathways for DTx products, as evidenced by the bankruptcy of Pear Therapeutics. 31 DTx also offers a great opportunity to gather RWD and generate RWE in order to better understand patient outcomes and intervention effects.…”
Section: Articlementioning
confidence: 99%
“…The systematic policy review methodology retains the core elements of a scoping review in the sense that it also involves the establishment of clear inclusion and exclusion criteria, the development of a comprehensive search strategy, and frequently a narrative synthesis [21][22][23][24][25][26][27][28][29][30][31][32]. However, in contrast to traditional scoping reviews, the databases searched are not academic databases but policy databases or repositories.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…A cross-sectional analysis is most appropriate if policies from a short time-period have been mapped or if a policy eld is still emerging in which case longitudinal developments are scarce to non-existent. In a cross-sectional policy mapping article, raw policy data is presented per country in tabulated form (as shown above in Table 3), whereas crosscountry differences are described narratively [31]. For this type of analysis, it is good practice to use several preselected criteria to compare the mapped policies to.…”
Section: Data Extraction and Analysismentioning
confidence: 99%
See 1 more Smart Citation