Evidence map›Paper›PMID 28640681›Full record

ArticleAmerican journal of public health2017

Crowdsourced Health Data: Comparability to a US National Survey, 2013-2015.

Veronica Yank, Sanjhavi Agarwal, Pooja Loftus, Steven Asch, David Rehkopf

Open access · greenAbstract readComparative Study
In one paragraph

Article in American journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
9.8field-weighted citation impact, top 2% of its field
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

18 citing papers in PubMed, 35 citations in OpenAlex.

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  13. Similarities and Differences in Tobacco Control Research Findings From Convenience and Probability Samples.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2019
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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

5 authors at 1 institution in 1 country.

Veronica YankVeronica Yank and Sanjhavi Agarwal are with the Division of General Internal Medicine, University of California, San Francisco. Pooja Loftus is with the Division of General Medical Disciplines, Stanford University, Stanford, CA. Steven Asch is with the VA Palo Alto Health Care System, Palo Alto, CA, and the Division of General Medical Disciplines, Stanford University. David Rehkopf is with the Division of General Medical Disciplines, Stanford University.
Sanjhavi AgarwalVeronica Yank and Sanjhavi Agarwal are with the Division of General Internal Medicine, University of California, San Francisco. Pooja Loftus is with the Division of General Medical Disciplines, Stanford University, Stanford, CA. Steven Asch is with the VA Palo Alto Health Care System, Palo Alto, CA, and the Division of General Medical Disciplines, Stanford University. David Rehkopf is with the Division of General Medical Disciplines, Stanford University.
Pooja LoftusVeronica Yank and Sanjhavi Agarwal are with the Division of General Internal Medicine, University of California, San Francisco. Pooja Loftus is with the Division of General Medical Disciplines, Stanford University, Stanford, CA. Steven Asch is with the VA Palo Alto Health Care System, Palo Alto, CA, and the Division of General Medical Disciplines, Stanford University. David Rehkopf is with the Division of General Medical Disciplines, Stanford University.
Steven AschVeronica Yank and Sanjhavi Agarwal are with the Division of General Internal Medicine, University of California, San Francisco. Pooja Loftus is with the Division of General Medical Disciplines, Stanford University, Stanford, CA. Steven Asch is with the VA Palo Alto Health Care System, Palo Alto, CA, and the Division of General Medical Disciplines, Stanford University. David Rehkopf is with the Division of General Medical Disciplines, Stanford University.
David RehkopfVeronica Yank and Sanjhavi Agarwal are with the Division of General Internal Medicine, University of California, San Francisco. Pooja Loftus is with the Division of General Medical Disciplines, Stanford University, Stanford, CA. Steven Asch is with the VA Palo Alto Health Care System, Palo Alto, CA, and the Division of General Medical Disciplines, Stanford University. David Rehkopf is with the Division of General Medical Disciplines, Stanford University.
Stanford University · US

Funding

Primary Care eHealth Intervention for Improved Outcomes in Chronic Kidney DiseaseK23DK097308 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YANK, VERONICA · 2013 to 2017
$780k
Life course contexts and work - quantifying impacts on aging and chronic diseaseK01AG047280 · NIA · STANFORD UNIVERSITY · PI REHKOPF, DAVID H · 2014 to 2018
$632k
NIA NIH HHS K01 AG047280NIDDK NIH HHS K23 DK097308
6 · The paper itself

Abstract

objectivesTo determine the generalizability of crowdsourced, electronic health data from self-selected individuals using a national survey as a reference.

methodsUsing the world's largest crowdsourcing platform in 2015, we collected data on characteristics known to influence cardiovascular disease risk and identified comparable data from the 2013 Behavioral Risk Factor Surveillance System. We used age-stratified logistic regression models to identify differences among groups.

resultsCrowdsourced respondents were younger, more likely to be non-Hispanic and White, and had higher educational attainment. Those aged 40 to 59 years were similar to US adults in the rates of smoking, diabetes, hypertension, and hyperlipidemia. Those aged 18 to 39 years were less similar, whereas those aged 60 to 75 years were underrepresented among crowdsourced respondents.

conclusionsCrowdsourced health data might be most generalizable to adults aged 40 to 59 years, but studies of younger or older populations, racial and ethnic minorities, or those with lower educational attainment should approach crowdsourced data with caution. Public Health Implications. Policymakers, the national Precision Medicine Initiative, and others planning to use crowdsourced data should take explicit steps to define and address anticipated underrepresentation by important population subgroups.

Indexed as

Behavioral Risk Factor Surveillance SystemHealth StatusAdolescentAdultAgedCardiovascular DiseasesCrowdsourcingFemaleHumansMaleMiddle AgedPublic HealthRegression, PsychologyYoung Adult

Identifiers

PMID28640681
PMCPMC5508142
OpenAlexW2691431926

What OpenQuestion holds

Textmetadata
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.