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GMS Medizinische Informatik, Biometrie und Epidemiologie

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

1860-9171


Research Article
EFMI STC 2025

Identifying assessment frameworks for digital public health interventions: First results of a scoping review

 Henrik Hülsmann 1,2
Walter Swoboda 1
Felix Holl 1,2

1 DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany
2 Leibniz Science Campus Digital Public Health, Bremen, Germany

Abstract

The global pandemic accelerated the rise of digital public health (DPH), yet standardized assessment procedures for digital public health interventions (DPHIs) remain limited. This scoping review aims to identify existing assessment frameworks applicable to DPHIs. A comprehensive search was conducted across PubMed, the Healthcare Administration Database, and Google Scholar, following Joanna Briggs Institute (JBI) guidelines. English-language full-text studies published since 2020 were included. Of 1,196 studies screened, 12 met the inclusion criteria. One DPHI framework was identified, alongside three generic digital health frameworks and an adapted RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) model. Findings reveal a significant gap in validated assessment frameworks for DPHIs. Broader frameworks that consider social, cultural, and country-specific factors are needed to fully realize the potential of DPHIs and address issues like the digital divide.


Keywords

digital public health, health technology assessment, framework

Introduction

The COVID-19 pandemic has forced national healthcare systems around the world to adapt, accelerating the digital transformation of healthcare in particular [1]. At the same time, the field of digital public health (DPH) advanced and changed the area of population-based disease prevention, control, and health promotion with digital transformation [2], [3]. Digital public health interventions (DPHIs) could enable personalized and precise health solutions, improve prediction and data analytics, contribute to a shift from cure to prevention, bring care closer to people, and provide more efficient services [4].

Assessment methods for DPHIs have lagged behind rapid technological advancements, as evidenced by the limited number of evaluation studies [2]. This gap has led to insufficient integration of public health perspectives in digital health intervention planning and assessment [5]. Critical assessment frameworks are needed to ensure the effectiveness, sustainability, and safety of DPHIs [6]. This scoping review aims to identify existing or potential frameworks applicable to DPH contexts that could support the practice of systematic and evidence-based decision-making.

Method

A scoping review was conducted in August 2024 according to the Joanna Briggs Institute (JBI) scoping review methodology guidelines [7], using predefined search strings (e.g.("Digital health" OR "eHealth") AND "public health" AND ("assessment" OR "evaluation") AND ("framework" OR "tool")) in PubMed, Healthcare Administration Database (HAD), and Google Scholar. Inclusion criteria were studies published in English since January 1st, 2020, which describe generic assessment frameworks for digital health interventions, the generic assessment of a DPHI, and functional frameworks specific to DPH. A total of 1,196 studies were screened by title and abstract. After full-text review, twelve studies were included. An adapted EUnetHTA model [8] was used to compare frameworks across key domains.

Results

Five relevant frameworks for evaluating DPHIs were identified: DigiPHrame [9], NICE’s Evidence Standards Framework (ESF) for digital health technologies [10], Digi-HTA [11], Digital Health Technology Evaluation for Health Organizations (DHTEfHO) [12], and an adapted RE-AIM framework [13]. Of the initiatives reviewed, DigiPHrame was uniquely designed to address the specific needs of DPHIs, while the others have a broader focus on either digital health technologies or public health. The development of the frameworks typically involved literature reviews, expert panels, and stakeholder engagement.

Assessment methods varied, including scoring systems and structured guidance through key questions. DigiPHrame demonstrated the most comprehensive coverage, particularly in addressing ethical, legal, and equity considerations. Most frameworks covered to some extent effectiveness and safety, while technical [12], [13] and economic [13] aspects were inconsistently evaluated. Social, ethical, and organizational impacts were underrepresented [10], [11], [13].

Discussion

DigiPHrame includes evaluation criteria tailored to DPHIs, but its methodological foundation remains underdeveloped. It lacks standardized procedures for evidence generation, mechanisms for weighting criteria, and a quantifiable scoring system to ensure comparability, remaining untested and unvalidated. Notably, other frameworks either neglect technical aspects such as interoperability or define country-specific technical guidelines [14]. Overall, these assessment frameworks do not adequately address the most important, mutually reinforcing pillars of digital public health [6], which include ethical and social dimensions. The strengths of this review and its further results will be the focus on specific digital public health frameworks. At this stage, the review is limited to its restricted search terms and databases.

Conclusion

The assessment of DPHIs faces significant challenges due to their complexity, diversity of stakeholders, and dynamic development, making evidence generation and transferability difficult. There is a critical need for adaptable, context-sensitive assessment frameworks that address the evolving nature of DPHIs and support evidence-based public health strategies.

Notes

Authors’ ORCIDs

Competing interests

The authors declare that they have no competing interests. Felix Holl and Henrik Hülsmann are affiliated with the Leibniz Science Campus Digital Public Health. DigiPHrame was developed by members of the Leibniz Science Campus Digital Public Health.


References

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