e.g. mhealth
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Skip search results from other journals and go to results- 3 Journal of Medical Internet Research
- 1 JMIR Formative Research
- 1 JMIR Infodemiology
- 1 JMIR mHealth and uHealth
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misinformation such as propaganda, misleading advertising, news parody and satire, manipulated news, and completely fabricated news [42,43], within this study, misinformation was defined based on whether a post made a declarative statement or claim related to each health-related topic that was in opposition to the official stance of scientific institutions such as the Centers for Disease Control and Prevention [44-46] in January 2022, which was the most recent time frame of Chat GPT’s training data set when the experiment
JMIR Infodemiology 2024;4:e60678
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The Impact of Incentives on Data Collection for Online Surveys: Social Media Recruitment Study
This study addresses a gap in the literature by performing an experiment that examined how different incentive amounts influence response rate, data quality, length of data collection, and recruitment costs, all in the context of recruiting study participants through paid advertisements on social media. Researchers are increasingly using this methodology, but limited knowledge is available on how specific incentive amounts influence data collection processes and outcomes.
JMIR Form Res 2024;8:e50240
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The 3 variables were modeled as factors in a full factorial between-subjects randomized controlled experiment. Communication is not a series of independent factors but rather the combination of multiple interwoven factors, and a factorial design was thus adopted to incorporate the possibility of interaction between the 3 features under study.
Therefore, the experiment used a 2 × 3 × 2 full factorial design. An overview is presented in Table 1.
J Med Internet Res 2023;25:e42528
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To improve public understanding and engagement with the aims of CLOCS, an animated decision aid was jointly prepared by Science Animated Limited, 2 patient representatives, and the CLOCS research team prior to the initiation of this web-based experiment.
J Med Internet Res 2022;24(8):e40015
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We conducted an online vignette experiment in three countries: Spain, Germany, and the Netherlands. Every participant was exposed to four different vignettes, each describing one specific aspect of the business model of an m Health app (ie, the first with a specific revenue, the second with data protection, the third with a recommendation, and the fourth with a provider model). Next, the likeliness to adopt the health app and willingness to pay were assessed as outcome measures.
JMIR Mhealth Uhealth 2020;8(6):e17272
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There were actually more differences as the experiment was in a 2×2 factorial design with the presence or absence of a warning message as second independent variable, but this is of no relevance to the analyses reported in this article and is therefore not mentioned further.
Stimulus material for unfavorable review condition.
J Med Internet Res 2020;22(4):e14134
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