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Skip search results from other journals and go to results- 7 Journal of Medical Internet Research
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Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis
Three apps sponsored by companies promoting oral health products (Oral B, Philips Sonicare, and Colgate Connect) were generally well designed and received higher scores but were narrowly intended to promote use of their products, resulting in lower overall scores as persuasive health technologies.
This study has a number of notable strengths, including its novelty. To our knowledge, this is the first review of oral health promotion apps. As such, this paper addresses an important gap in the literature.
JMIR Mhealth Uhealth 2018;6(9):e11432
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Reducing Sedentary Time for Obese Older Adults: Protocol for a Randomized Controlled Trial
Exploratory outcomes included cognitive function as measured by the Trail Making Test Parts A and B (to assess psychomotor speed and fluid cognitive abilities) [43,44]. Time to complete each task as a raw score will be used in analyses weight which was measured with a calibrated portable digital scale (Tanita HD-351) and height with a stadiometer (Seca 213). Waist circumference was measured twice at the superior border of the iliac crest. The average of 2 measurements will be used in our analyses [45].
JMIR Res Protoc 2018;7(2):e23
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Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ Perspectives
JMIR Mhealth Uhealth 2016;4(3):e95
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Using Multiple Imputations to Accommodate Time-Outs in Online Interventions
It is a function of the M complete data standard errors (W
1,..M) and the variability between the complete data estimates across the M imputations (B
M). Let W
M be the standard error of the complete data estimator in the m-th imputed dataset, then Rubin’s formula for the standard error of the imputation estimator appears as in #3 in Multimedia Appendix 1 [15,38].
J Med Internet Res 2013;15(11):e252
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