Evidence map›Paper›PMID 31949918›Full record

ArticleDigital health

WHO guidance for digital health: What it means for researchers.

Tarveen Jandoo

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 7 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

101 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Article
  9. Mobile apps for cancer patient education: a technology foresight analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  14. Unraveling acceptance of healthcare innovations in neurorehabilitation: results from a discrete choice experiment.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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41 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

1 author.

Tarveen JandooKnowledge Management, ZS Associates India, India.ORCID https://orcid.org/0000-0002-3436-3454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In healthcare, digital solutions have been adopted with zeal, but there is paucity of evidence for benefits and harms of these solutions. The impact, immediate or long term, of digital applications on healthcare has not been assessed. With the overwhelming numbers and types of digital solutions, it is becoming increasingly important to develop evidence-based insights for the integration of these solutions in routine medical care. Digitalization can certainly empower and enable patients and physicians to achieve health objectives. The World Health Organisation has released guidance for digital health after a critical review of available evidence for the benefits, harms, acceptability, feasibility, resource use and equity considerations of digital health interventions. This guidance can potentially inspire and impact future research endeavors for digital applications. In this paper, the guidance has been reviewed in context of the current research situation and insights are shared for researchers engaged in the design and assessment of digital interventions.

Indexed as

Digital healthguidelinesreformssafetyWHO

Identifiers

PMID31949918
PMCPMC6952850

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.