Evidence map›Paper›PMID 31304384›Full record

ReviewNPJ digital medicine2019

Digital health: a path to validation.

Simon C Mathews, Michael J McShea, Casey L Hanley, Alan Ravitz, Alain B Labrique, Adam B Cohen

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 263 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
263citing papers in PubMed, 11 pooled it
–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

263 citing papers in PubMed, 11 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Trial
  13. Article
  14. Article
  15. Digital bioethics: exploring an emerging field.Medicine, health care, and philosophy · 2026
    Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article

203 more citing papers are in PubMed but not listed here.

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

6 authors.

Simon C MathewsArmstrong Institute for Patient Safety and Quality, 750 E Pratt St, 15th Floor, Baltimore, MD 21202 USA.
Michael J McShea3Health Technologies, National Health Mission Area, The Johns Hopkins University Applied Physics Lab (APL), 11100 Johns Hopkins Road, Laurel, MD 20723 USA.
Casey L Hanley3Health Technologies, National Health Mission Area, The Johns Hopkins University Applied Physics Lab (APL), 11100 Johns Hopkins Road, Laurel, MD 20723 USA.
Alan Ravitz3Health Technologies, National Health Mission Area, The Johns Hopkins University Applied Physics Lab (APL), 11100 Johns Hopkins Road, Laurel, MD 20723 USA.
Alain B Labrique4Johns Hopkins Bloomberg School of Public Health, JHU Global mHealth Initiative, 615N. Wolfe St, Baltimore, MD 21205 USA.
Adam B Cohen3Health Technologies, National Health Mission Area, The Johns Hopkins University Applied Physics Lab (APL), 11100 Johns Hopkins Road, Laurel, MD 20723 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health solutions continue to grow in both number and capabilities. Despite these advances, the confidence of the various stakeholders - from patients and clinicians to payers, industry and regulators - in medicine remains quite low. As a result, there is a need for objective, transparent, and standards-based evaluation of digital health products that can bring greater clarity to the digital health marketplace. We believe an approach that is guided by end-user requirements and formal assessment across technical, clinical, usability, and cost domains is one possible solution. For digital health solutions to have greater impact, quality and value must be easier to distinguish. To that end, we review the existing landscape and gaps, highlight the evolving responses and approaches, and detail one pragmatic framework that addresses the current limitations in the marketplace with a path toward implementation.

Indexed as

Health policyTechnology

Identifiers

PMID31304384
PMCPMC6550273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.