Evidence map›Paper›PMID 31750835›Full record

ArticleJournal of medical Internet research2019

Digital Health Consumers on the Road to the Future.

Rita Kukafka

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  6. Digital Health Revolution in India: Transforming Health and Medicine.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2024
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  15. How Can Artificial Intelligence Make Medicine More Preemptive?Journal of medical Internet research · 2020
    Article
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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

1 author.

Rita KukafkaDepartment of Biomedical Informatics, Columbia University, New York, NY, United States.ORCID 0000-0002-0960-7576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health is uniquely positioned to transform health care. This viewpoint explores the enormous benefits for health consumers when digital-first health care is embraced. Also, it explores what risks exist if surveillance capitalism takes over health care. Further, some solutions to prepare digital health citizens for the road ahead are also discussed.

Indexed as

Artificial IntelligenceHealth Care CostsHumansTelemedicineartificial intelligencedigital healthhealth consumersinternet of things

Identifiers

PMID31750835
PMCPMC6895867

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.