Vilendrer, Stacie Lough, Mary E Garvert, Donn W Lambert, Monique H Lu, Jonathan Hsijing Patel, Birju Shah, Nigam H Williams, Michelle Y Kling, Samantha M R
Published in
Journal of Medical Internet Research
Background The COVID-19 pandemic prompted widespread implementation of telehealth, including in the inpatient setting, with the goals to reduce potential pathogen exposure events and personal protective equipment (PPE) utilization. Nursing workflow adaptations in these novel environments are of particular interest given the association between nurs...
Stokes-Parish, Jessica
Published in
Journal of Medical Internet Research
Misinformation creates challenges for the general public in differentiating truth from fiction in web-based content. During the COVID-19 pandemic, this issue has been amplified due to high volumes of news and changing information. Evidence on misinformation largely focuses on understanding the psychology of misinformation and debunking strategies b...
Riddell, Corinne A Neumann, Krista Santaularia, N Jeanie Farkas, Kriszta Ahern, Jennifer Mason, Susan M
Published in
Journal of Medical Internet Research
Background The COVID-19 pandemic has created environments with increased risk factors for household violence, such as unemployment and financial uncertainty. At the same time, it led to the introduction of policies to mitigate financial uncertainty. Further, it hindered traditional measurements of household violence. Objective Using an infoveillanc...
Niu, Qian Liu, Junyu Kato, Masaya Nagai-Tanima, Momoko Aoyama, Tomoki
Published in
Journal of Medical Internet Research
Background The global public health and socioeconomic impacts of the COVID-19 pandemic have been substantial, rendering herd immunity by COVID-19 vaccination an important factor for protecting people and retrieving the economy. Among all the countries, Japan became one of the countries with the highest COVID-19 vaccination rates in several months, ...
Baldwin, D S Neugarten, J Feiner, H D Gluck, M Spinowitz, B
Published in
Kidney international
We describe a spectrum of clinical and morphologic features which may occur in idiopathic crescentic glomerulonephritis. Of note are patients who pursue a more indolent course to renal failure in contrast to typical rapidly progressive glomerulonephritis (RPGN). Patients following this protracted course have an insidious presentation with hematuria...
Li, Shicheng Deng, Lizong Zhang, Xu Chen, Luming Yang, Tao Qi, Yifan Jiang, Taijiao
Published in
Journal of Medical Internet Research
Background Phenotype information in electronic health records (EHRs) is mainly recorded in unstructured free text, which cannot be directly used for clinical research. EHR-based deep-phenotyping methods can structure phenotype information in EHRs with high fidelity, making it the focus of medical informatics. However, developing a deep-phenotyping ...
Pearson, Rahel Carl, Emily Creech, Suzannah K
Published in
Journal of Medical Internet Research
Background Computerized psychological interventions can overcome logistical and psychosocial barriers to the use of mental health care in the Veterans Affairs and Department of Defense settings. Objective In this systematic review, we aim to outline the existing literature, with the goal of describing: the scope and quality of the available literat...
Mirzaei, Ardalan Aslani, Parisa Luca, Edward Joseph Schneider, Carl Richard
Published in
Journal of Medical Internet Research
Jacobi, Corinna Vollert, Bianka Hütter, Kristian von Bloh, Paula Eiterich, Nadine Görlich, Dennis Taylor, C Barr
Published in
Journal of Medical Internet Research
Background Although preventive interventions for eating disorders in general have shown promise, interventions specifically targeting individuals at risk for anorexia nervosa (AN) are lacking. Objective The aim of this study was to determine the efficacy of a guided, indicated web-based prevention program for women at risk for AN. Methods We conduc...
Goh, Yong Shian Ow Yong, Jenna Qing Yun Chee, Bernice Qian Hui Kuek, Jonathan Han Loong Ho, Cyrus Su Hui
Published in
Journal of Medical Internet Research
Background Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years, alongside its ability to provide readily available personalized experience for users, holds much po...