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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2016
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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. |
format | Online Article Text |
id | pubmed-5013244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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