Evidence map›Paper›PMID 40312337›Full record

ArticleBMC health services research2025

Success factors and measures for scaling patient-facing digital health technologies from leaders' insights.

Estelle Pfitzer, Odile Giger, Christoph Kausch, Tobias Kowatsch

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Estelle PfitzerCentre for Digital Health Interventions, School of Medicine, University of St. Gallen, St. Gallen, Switzerland.
Odile GigerCentre for Digital Health Interventions, School of Medicine, University of St. Gallen, St. Gallen, Switzerland.
Christoph KauschMTIP AG, Basel, Switzerland.
Tobias KowatschCentre for Digital Health Interventions, School of Medicine, University of St. Gallen, St. Gallen, Switzerland. tkowatsch@ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEurope's healthcare systems face a triple burden: the rise of non-communicable diseases (NCDs), an aging population, and a shortage of healthcare professionals. NCDs, the leading causes of death, disproportionately affect older adults, placing significant pressure on healthcare services. By 2050, nearly 30% of Europe's population will be aged 65 or older, up from 20% in 2023. These challenges demand urgent solutions to sustain healthcare systems. Patient-facing digital health technologies (DHTs), such as Digital Diagnostics and Digital Therapeutics, offer promising tools to address this burden by empowering patient self-management, reducing strain on healthcare professionals, and enhancing system efficiency. Despite their potential, the scaling and adoption of DHTs remain limited. This study investigates: (RQ1) What key factors drive success across different patient-facing DHT categories? and (RQ2) How can companies implement these factors?

methodsFollowing COREQ guidelines, we conducted semi-structured interviews with 29 executives and founders of European DHT companies targeting NCDs. Participants were identified using PitchBook, focusing on revenue-generating companies with over 20 employees. Virtual interviews were conducted in English between May and September 2024, lasting an average of 28 min (range: 21-40). Data saturation determined the sample size. Thematic analysis was performed, with two researchers independently coding the data to ensure reliability. Success factors were categorized as internal (e.g., employees) or external (e.g., partnerships). Ethical approval was obtained, and data was anonymized. A follow-up survey (n = 27) was conducted to confirm our findings.

resultsWe identified 18 success factors for scaling patient-facing DHTs. Health & Wellness companies prioritized business model flexibility, while Digital Therapeutics relied on regulatory compliance. Validation of health impact was critical across categories, emphasized by all respondents in Digital Diagnostics and Digital Therapeutics. Other key factors included customer awareness, strategic partnerships, and investor alignment, highlighting the importance of tailored growth strategies.

conclusionThis study provides structured guidance for scaling patient-facing DHTs, emphasizing category-specific strategies aligned with operational, regulatory, and consumer demands. It offers actionable recommendations for founders and executives to allocate resources effectively and adapt to diverse market contexts. By addressing the unique challenges of scaling DHTs, this work contributes to advancing digital health research and improving healthcare system resilience.

Indexed as

Digital TechnologyLeadershipNoncommunicable DiseasesTelemedicineAgedDigital HealthEuropeFemaleHumansInterviews as TopicMaleQualitative ResearchDigital health technologiesNon-communicable diseasesPatient-facing solutionsScaling strategiesSuccess factors

Identifiers

PMID40312337
PMCPMC12046742

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.