Evidence map›Paper›PMID 29785204›Full record

ReviewConflict and health2018

Using digital health to enable ethical health research in conflict and other humanitarian settings.

Eric D Perakslis

Abstract readReview
In one paragraph

Review in Conflict and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Impact of COVID-19 disease on clinical research in pediatric and congenital cardiology.Archives de pediatrie : organe officiel de la Societe francaise de pediatrie · 2022
    Observational
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. COVID-19 Ethics and Research.Mayo Clinic proceedings · 2020
    Article
  17. Article
  18. Article
  19. Review
  20. 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

1 author.

Eric D PerakslisDatavant Inc., San Francisco, CA USA.ORCID 0000-0003-2395-810X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conducting research in a humanitarian setting requires quantifiable quality measures to ensure ethical study conduct. Digital health technologies are proven to improve research study quality and efficacy via automated data collection, improvement of data reliability, fidelity and resilience and by improved data provenance and traceability. Additionally, digital health methodologies can improve patient identity, patient privacy, study transparency, data sharing, competent informed consent, and the confidentiality and security of humanitarian operations. It can seem counterintuitive to press forward aggressively with digital technologies at a time of heightened population vulnerability and cyber security concerns, but new approaches are essential to meet the rapidly increasing demands of humanitarian research. In this paper we present the case for the digital modernization of humanitarian research in conflict and other humanitarian settings as a vehicle for improved research quality and ethics.

Indexed as

Biometric identityData privacyData securityData sharingDigital healtheHealthHumanitarian researchmHealthResearch ethics

Identifiers

PMID29785204
PMCPMC5950196

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.