Evidence map›Paper›PMID 32030195›Full record

ArticleDigital health

A retrospective analysis of NIH-funded digital health research using social media platforms.

Camille Nebeker, Sarah E Dunseath, Rubi Linares-Orozco

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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Our Theater of Anonymity.Ethics & human research
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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

3 authors.

Camille NebekerDepartment of Family Medicine and Public Health, School of Medicine, University of California, San Diego, USA.ORCID https://orcid.org/0000-0001-6819-1796
Sarah E DunseathSchool of Medicine, University of California, San Diego, USA.
Rubi Linares-OrozcoCompliance Advisory Services, University of California, San Diego, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSocial network platforms are increasingly used in digital health research. Our study aimed to 1. qualify and quantify the use of social media platforms in health research supported by the National Institutes of Health (NIH) and document changes occurring between 2011 and 2017 and 2. examine whether institutions hosting these studies provided public-facing guidelines on how to conduct ethical social media health research.

methodsThe NIH RePORTER (Research Portfolio Online Reporting Tools) database was searched to identify research utilizing Instagram, Pinterest, Facebook, or Twitter. Studies included used social media for observational research, recruitment, intervention delivery or to assess social media as an effective research tool. Abstracts were qualitatively analyzed to describe the population and health topic by year. Websites of organizations receiving funding for this research were searched to identify whether guidance or policy existed.

resultsStudies (

conclusionsSocial media research is conducted with vulnerable populations that are traditionally difficult to reach. There is a compelling need for resources designed to support ethical and responsible social media-enabled research to enable this research to be carried out safely.

Indexed as

big datadigital healthFacebookInstagramIRBPinterestresearch ethicsSocial media platformTwitter

Identifiers

PMID32030195
PMCPMC6977220

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.