Evidence map›Paper›PMID 27554915›Full record

ArticleJMIR research protocols2016

Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300.

Jonah Bardos, Jenna Friedenthal, Jessica Spiegelman, Zev Williams

Abstract read
In one paragraph

Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Mapping of Crowdsourcing in Health: Systematic Review.Journal of medical Internet research · 2018
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evaluation of Preference and Utility Measures for Transoral Thyroidectomy.The Annals of otology, rhinology, and laryngology · 2023
    Article
  8. Article
  9. Article
  10. Development and Evaluation of the Clinical Trial HEalth Knowledge and Beliefs Scale (CHEKS).International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Article
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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

4 authors.

Jonah BardosMount Sinai Medical Center, Department of Obstetrics Gynecology and Reproductive Science, Icahn School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0002-2041-0950

Funding

Transposons in Female Reproductive Health and DiseaseK08HD068546 · NICHD · ROCKEFELLER UNIVERSITY · PI WILLIAMS, ZEV · 2011 to 2014
$547k
NICHD NIH HHS K08 HD068546
6 · The paper itself

Abstract

backgroundThere are many challenges in conducting surveys of study participants, including cost, time, and ability to obtain quality and reproducible work. Cloudsourcing (an arrangement where a cloud provider is paid to carry out services that could be provided in-house) has the potential to provide vastly larger, less expensive, and more generalizable survey pools.

objectiveThe objective of this study is to evaluate, using Amazon's Mechanical Turk (MTurk), a cloud-based workforce to assess patients' perspectives of health care.

methodsA national online survey posted to Amazon's MTurk consisted of 33 multiple choice and open-ended questions. Continuous attributes were compared using t tests.

resultsWe obtained 1084 responses for a total cost of US $298.10 in less than 3 days with 300 responses in under 6 hours. Of those, 44.74% (485/1084) were male and 54.80% (594/1084) female, representing 49 out of 50 states and aged 18 to 69 years.

conclusionsAmazon's MTurk is a potentially useful survey method for attaining information regarding public opinions and/or knowledge with the distinct advantage of cost, speed, and a wide and relatively good representation of the general population, in a confidential setting for respondents.

Indexed as

cloud-based surveycrowdsourcinghealth care perceptionsMechanical Turkmedical surveyMTurk

Identifiers

PMID27554915
PMCPMC5013244

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.