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

BACKGROUND: There 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 provi...

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Detalles Bibliográficos
Autores principales: Bardos, Jonah, Friedenthal, Jenna, Spiegelman, Jessica, Williams, Zev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013244/
https://www.ncbi.nlm.nih.gov/pubmed/27554915
http://dx.doi.org/10.2196/resprot.5772
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author Bardos, Jonah
Friedenthal, Jenna
Spiegelman, Jessica
Williams, Zev
author_facet Bardos, Jonah
Friedenthal, Jenna
Spiegelman, Jessica
Williams, Zev
author_sort Bardos, Jonah
collection PubMed
description BACKGROUND: There 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. OBJECTIVE: The objective of this study is to evaluate, using Amazon's Mechanical Turk (MTurk), a cloud-based workforce to assess patients’ perspectives of health care. METHODS: A national online survey posted to Amazon's MTurk consisted of 33 multiple choice and open-ended questions. Continuous attributes were compared using t tests. RESULTS: We 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. CONCLUSIONS: Amazon’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.
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spelling pubmed-50132442016-09-20 Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300 Bardos, Jonah Friedenthal, Jenna Spiegelman, Jessica Williams, Zev JMIR Res Protoc Original Paper BACKGROUND: There 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. OBJECTIVE: The objective of this study is to evaluate, using Amazon's Mechanical Turk (MTurk), a cloud-based workforce to assess patients’ perspectives of health care. METHODS: A national online survey posted to Amazon's MTurk consisted of 33 multiple choice and open-ended questions. Continuous attributes were compared using t tests. RESULTS: We 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. CONCLUSIONS: Amazon’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. JMIR Publications 2016-08-23 /pmc/articles/PMC5013244/ /pubmed/27554915 http://dx.doi.org/10.2196/resprot.5772 Text en ©Jonah Bardos, Jenna Friedenthal, Jessica Spiegelman, Zev Williams. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 23.08.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Bardos, Jonah
Friedenthal, Jenna
Spiegelman, Jessica
Williams, Zev
Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300
title Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300
title_full Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300
title_fullStr Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300
title_full_unstemmed Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300
title_short Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300
title_sort cloud based surveys to assess patient perceptions of health care: 1000 respondents in 3 days for us $300
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013244/
https://www.ncbi.nlm.nih.gov/pubmed/27554915
http://dx.doi.org/10.2196/resprot.5772
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