Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes.
Amazon Mechanical Turk
MTurk
T1D
cross-sectional survey
crowdsourcing
diabetes
online platform
reliability
survey
type 1 diabetes
web-based platform
website
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
18 08 2023
18 08 2023
Historique:
received:
05
12
2022
accepted:
02
08
2023
revised:
01
08
2023
medline:
21
8
2023
pubmed:
18
8
2023
entrez:
18
8
2023
Statut:
epublish
Résumé
Although Amazon Mechanical Turk facilitates the quick surveying of a large sample from various demographic and socioeconomic backgrounds, it may not be an optimal platform for obtaining reliable diabetes-related information from the online type 1 diabetes population.
Identifiants
pubmed: 37594797
pii: v25i1e43593
doi: 10.2196/43593
pmc: PMC10474500
doi:
Types de publication
Letter
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e43593Subventions
Organisme : NIDDK NIH HHS
ID : K23 DK129724
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK092926
Pays : United States
Informations de copyright
©Yu Kuei Lin, Sean Newman, John Piette. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.08.2023.
Références
J Gen Intern Med. 2018 Apr;33(4):533-538
pubmed: 29302882
BMC Med Res Methodol. 2022 Mar 13;22(1):67
pubmed: 35282830
Prev Chronic Dis. 2015 May 07;12:E62
pubmed: 25950569
PLoS One. 2019 Apr 2;14(4):e0214713
pubmed: 30939144
Annu Rev Clin Psychol. 2016;12:53-81
pubmed: 26772208
J Clin Endocrinol Metab. 2012 Dec;97(12):4383-9
pubmed: 22996145
PLoS One. 2020 Jun 10;15(6):e0233154
pubmed: 32520948
JMIR Diabetes. 2017 Jul 12;2(2):e11
pubmed: 30291072
JMIR Res Protoc. 2016 Aug 23;5(3):e166
pubmed: 27554915