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Assessing the Credibility and Authenticity of Social Media Content for Applications in Health Communication: Scoping Review

Assessing the Credibility and Authenticity of Social Media Content for Applications in Health Communication: Scoping Review

citation]Population groupKey significant resultsNumber of likesBorah and Xiao (2018) [47]StudentsIn the 2 studies conducted, the number of likes did not affect source credibility overall when looking at Facebook posts (study 1: P=.93; study 2: P=.09)Phua and Ahn

Eva L Jenkins, Jasmina Ilicic, Amy M Barklamb, Tracy A McCaffrey

J Med Internet Res 2020;22(7):e17296


Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation

Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation

Ahn et al described that the total number of downloads for CPR training apps is about several hundred thousand [22]. However, this field is getting increasingly complex and unmanageable [23].

Bibiana Metelmann, Camilla Metelmann, Louisa Schuffert, Klaus Hahnenkamp, Peter Brinkrolf

JMIR Mhealth Uhealth 2018;6(11):e190


Association of Socioeconomic Changes due to the COVID-19 Pandemic With Health Outcomes in Patients With Skin Diseases: Cross-Sectional Survey Study

Association of Socioeconomic Changes due to the COVID-19 Pandemic With Health Outcomes in Patients With Skin Diseases: Cross-Sectional Survey Study

patient-reported outcomes of skin diseases (N=506).Exposure groupPerceived stress(VASa ≥7)Depression(PHQ-9b ≥8)Anxiety(GAD-7c ≥8)Impaired quality of life(DLQId ≥10)aORe,f95% CIP valueaOR95% CIP valueaOR95% CIP valueaOR95% CIP valueIsolationUnaffectedRefgN/AhN

Yeye Guo, Minxue Shen, Xu Zhang, Yi Xiao, Shuang Zhao, Mingzhu Yin, Wenbo Bu, Yan Wang, Xiang Chen, Juan Su

J Med Internet Res 2020;22(9):e22288


Wearability Testing of Ambulatory Vital Sign Monitoring Devices: Prospective Observational Cohort Study

Wearability Testing of Ambulatory Vital Sign Monitoring Devices: Prospective Observational Cohort Study

measurementsSpO2a, PRb, RRc, perfusion indexSpO2, PR, stepsSpO2, PRSpO2, PR, perfusion indexSpO2, PRbHRd, RR, ECGeHR, RR, ECG, body positionParticipant-identified problems (n)fDevice size203100160Disrupted ADLsg8656000Skin irritation0210233Finger probe uncomfortable6058N/AhN

Carlos Areia, Louise Young, Sarah Vollam, Jody Ede, Mauro Santos, Lionel Tarassenko, Peter Watkinson

JMIR Mhealth Uhealth 2020;8(12):e20214


Explanatory Model of Dry Eye Disease Using Health and Nutrition Examinations: Machine Learning and Network-Based Factor Analysis From a National Survey

Explanatory Model of Dry Eye Disease Using Health and Nutrition Examinations: Machine Learning and Network-Based Factor Analysis From a National Survey

In contrast, omega-3 intake (node 13) and other ocular surgeries (node 6) were independent nodes with low centrality.In the previous study with KNHANES 2010-2011 by Ahn et al [3], 50- to 59-year-old and 60- to 69-year-old groups are presented as risk factors

Sang Min Nam, Thomas A Peterson, Atul J Butte, Kyoung Yul Seo, Hyun Wook Han

JMIR Med Inform 2020;8(2):e16153


Application of Mobile Health Technologies Aimed at Salt Reduction: Systematic Review

Application of Mobile Health Technologies Aimed at Salt Reduction: Systematic Review

not.StudyShort message serviceApp-basedOthers (eg, game device)Web-basedIn-personEyles et al [36]✓✓———Golshahi et al [39]✓————Yu et al [40]✓————Chen et al [41]✓———✓Huang [45]✓——✓—Nundy et al [46]✓————Zhang et al [37]—✓———Ipjian and Johnston [38]—✓———Lee et al [42]—✓———Ahn

Shahmir H Ali, Rong Luo, Yuan Li, Xiangjun Liu, Chengyao Tang, Puhong Zhang

JMIR Mhealth Uhealth 2019;7(4):e13250


Psychometric Validation and Cultural Adaptation of the Simplified Chinese eHealth Literacy Scale: Cross-Sectional Study

Psychometric Validation and Cultural Adaptation of the Simplified Chinese eHealth Literacy Scale: Cross-Sectional Study

0.500.8538.969 (18).00372.9527.05eHEALS 54.52−1.87−1.17−0.330.8932.962 (19).0570.7329.27eHEALS 63.83−1.89−1.24−0.310.9627.916 (20).1169.6730.33eHEALS 73.24−1.80−1.26−0.170.9541.64 (24).0166.5833.42eHEALS 82.63−1.80−1.20−0.061.0473.951 (25)<.00164.0135.99OverallN/AhN

Richard Huan Xu, Lingming Zhou, Sabrina Yujun Lu, Eliza Laiyi Wong, Jinghui Chang, Dong Wang

J Med Internet Res 2020;22(12):e18613