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Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis

Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis

Topic 1 (theme 1, “being an alternative or complement to a therapist”) deals with reviews that describe the apps’ function as an alternative or even a complement to a human MH provider (eg, nurse, doctor, physician, psychiatrist) when such a human therapist is unavailable due to the limitation of working time, space, budget, and social conditions (eg, the repeated resurgences of COVID-19); when app users attach great importance to privacy and social stigma related to MH problems; or when DMHC takes prevalence

Yi Shan, Meng Ji, Wenxiu Xie, Kam-Yiu Lam, Chi-Yin Chow

JMIR Hum Factors 2022;9(4):e38799

Themes Surrounding COVID-19 and Its Infodemic: Qualitative Analysis of the COVID-19 Discussion on the Multidisciplinary Healthcare Information for All Health Forum

Themes Surrounding COVID-19 and Its Infodemic: Qualitative Analysis of the COVID-19 Discussion on the Multidisciplinary Healthcare Information for All Health Forum

COVID-19 and the infodemic surrounding it have become a major discussion theme on the HIFA forums. The first post about COVID-19 on HIFA was published on January 24, 2020. Since then, over 1000 posts have been created on the topic—surpassing the number of posts made about any other topic previously on the forums.

Rakshith Gangireddy, Stuti Chakraborty, Neil Pakenham-Walsh, Branavan Nagarajan, Prerna Krishan, Richard McGuire, Gladson Vaghela, Abi Sriharan

JMIR Infodemiology 2022;2(1):e30167

Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

Each researcher individually developed their own themes with clear descriptions for each subtheme and theme by reading the misleading stories fully. NVivo, a qualitative data analysis tool, was used to sort, organize, manage, and analyze the qualitative data. Researchers reviewed the themes that they assigned to the data independently. Cohen kappa was used to evaluate intercoder reliability [39]. The agreements between 2 coders ranged from .8112 to 1 across all identified subtheme and themes.

Ehsan Mohammadi, Iman Tahamtan, Yazdan Mansourian, Holly Overton

JMIR Infodemiology 2022;2(1):e33827

Using Twitter to Understand the COVID-19 Experiences of People With Dementia: Infodemiology Study

Using Twitter to Understand the COVID-19 Experiences of People With Dementia: Infodemiology Study

This theme captures the psychological sense of loss due to physical barriers that create separation. Many personal descriptions included discussion of the physical separation, which includes separation due to death, separation during the process of dying during the COVID-19 pandemic, and separation due to visitation bans because of COVID-19. Underlying these descriptors of physical separation is a clear psychological disconnection accompanied by feelings of loss.

Juanita-Dawne Eleine Bacsu, Megan E O'Connell, Allison Cammer, Mahsa Azizi, Karl Grewal, Lisa Poole, Shoshana Green, Saskia Sivananthan, Raymond J Spiteri

J Med Internet Res 2021;23(2):e26254

Impact of the COVID-19 Pandemic on Disordered Eating Behavior: Qualitative Analysis of Social Media Posts

Impact of the COVID-19 Pandemic on Disordered Eating Behavior: Qualitative Analysis of Social Media Posts

Content that fell under this overarching theme was specifically related to disordered eating behavior and thought patterns that were influenced by the COVID-19 pandemic and the corresponding preventative measures. Users often experienced a worsening of ED symptoms corresponding to the onset of the global COVID-19 pandemic.

Sara K Nutley, Alyssa M Falise, Rebecca Henderson, Vasiliki Apostolou, Carol A Mathews, Catherine W Striley

JMIR Ment Health 2021;8(1):e26011

Harnessing Telemedicine for the Provision of Health Care: Bibliometric and Scientometric Analysis

Harnessing Telemedicine for the Provision of Health Care: Bibliometric and Scientometric Analysis

Research keywords in telemedicine by theme. From 2009 to 2014, a total of 2527 papers were published, which were cited by 141,702 references. These were analyzed to study landmark publications and clusters of research during this period. There was a total of 228 nodes and 273 edges. Cluster analysis yielded a parsimonious network of clusters (Figure 7) with a modularity of 0.85 and silhouette value of 0.42.

Ahmed Waqas, Soo Huat Teoh, Luís Velez Lapão, Luiz Ary Messina, Jorge César Correia

J Med Internet Res 2020;22(10):e18835