Evidence map›Paper›PMID 29884607›Full record

ArticleJMIR cancer2018

Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology.

Rachel Rj Kalf, Amr Makady, Renske Mt Ten Ham, Kim Meijboom, Wim G Goettsch, IMI-GetReal Workpackage 1

Abstract read
In one paragraph

Article in JMIR cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

6 authors.

Rachel Rj KalfNational Health Care Institute, Diemen, Netherlands.ORCID http://orcid.org/0000-0002-9029-4713
Amr MakadyNational Health Care Institute, Diemen, Netherlands.ORCID http://orcid.org/0000-0002-5260-1946
Renske Mt Ten HamNational Health Care Institute, Diemen, Netherlands.ORCID http://orcid.org/0000-0002-2638-8045
Kim MeijboomNational Health Care Institute, Diemen, Netherlands.ORCID http://orcid.org/0000-0001-6853-6379
Wim G GoettschNational Health Care Institute, Diemen, Netherlands.ORCID http://orcid.org/0000-0002-8022-7496
IMI-GetReal Workpackage 1 *

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn element of health technology assessment constitutes assessing the clinical effectiveness of drugs, generally called relative effectiveness assessment. Little real-world evidence is available directly after market access, therefore randomized controlled trials are used to obtain information for relative effectiveness assessment. However, there is growing interest in using real-world data for relative effectiveness assessment. Social media may provide a source of real-world data.

objectiveWe assessed the extent to which social media-generated health data has provided insights for relative effectiveness assessment.

methodsAn explorative literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify examples in oncology where health data were collected using social media. Scientific and grey literature published between January 2010 and June 2016 was identified by four reviewers, who independently screened studies for eligibility and extracted data. A descriptive qualitative analysis was performed.

resultsOf 1032 articles identified, eight were included: four articles identified adverse events in response to cancer treatment, three articles disseminated quality of life surveys, and one study assessed the occurrence of disease-specific symptoms. Several strengths of social media-generated health data were highlighted in the articles, such as efficient collection of patient experiences and recruiting patients with rare diseases. Conversely, limitations included validation of authenticity and presence of information and selection bias.

conclusionsSocial media may provide a potential source of real-world data for relative effectiveness assessment, particularly on aspects such as adverse events, symptom occurrence, quality of life, and adherence behavior. This potential has not yet been fully realized and the degree of usefulness for relative effectiveness assessment should be further explored.

Indexed as

patient reported outcomesreal-world datarelative effectivenesssocial media

Identifiers

PMID29884607
PMCPMC6015273

What OpenQuestion holds

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Registered trials

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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.