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Record W4409288098 · doi:10.1038/s41746-025-01600-7

A group concept mapping study of stakeholder perspectives on digital therapeutics economic value drivers

2025· article· en· W4409288098 on OpenAlexaff
Yoann Sapanel, L. Martin Cloutier, Gabriel Tremblay, Anh Bourcet, Florian Koerber, David Larivière, Xavier Tadeo, Dean Ho

Bibliographic record

Venuenpj Digital Medicine · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsValue (mathematics)StakeholderGroup (periodic table)BusinessKnowledge managementComputer sciencePolitical sciencePublic relationsPhysics

Abstract

fetched live from OpenAlex

Digital therapeutics (DTx), software as a medical device, present a promising avenue for addressing the increasing burden of a range of conditions, yet their widespread implementation remains contingent upon demonstrating economic value-an understudied domain in current literature. Using a Group Concept Mapping approach, this study synthesized perspectives from healthcare professionals, researchers, industry, and public sector representatives to understand factors perceived to influence DTx economic value throughout its lifecycle. Analysis revealed 59 factors organized into eight clusters. Stakeholders consistently identified DTx Impact on Patient Outcomes and DTx Implementation as the most influential clusters affecting economic value. However, DTx Associated Costs and DTx Monetization Models clusters were reported as not receiving sufficient consideration throughout the DTx development lifecycle, particularly among researchers. Consequently, a conceptual framework of priority clusters and factors driving DTx economic value is proposed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.256
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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