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Diabetes-Related Topics in an Online Forum for Caregivers of Individuals Living With Alzheimer Disease and Related Dementias: Qualitative Inquiry

Diabetes-Related Topics in an Online Forum for Caregivers of Individuals Living With Alzheimer Disease and Related Dementias: Qualitative Inquiry

When registering for an account in the forum, users are requested to identify their relationship with a person living with dementia (eg, the user is a person living with dementia, a type of relative, or a professional caregiver). Flowchart of selection scheme of posts included in the study. “Thematic analysis is a method of identifying, analyzing, and reporting patterns (themes, topics, ideas) within a data” [45,46].

Yan Du, Kristi Paiva, Adrian Cebula, Seon Kim, Katrina Lopez, Chengdong Li, Carole White, Sahiti Myneni, Sudha Seshadri, Jing Wang

J Med Internet Res 2020;22(7):e17851

Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods

Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods

We applied latent semantic analysis [47], a method of distributional semantics in conjunction with a machine-learning classifier to derive a measure of relatedness between a given message and the previously identified communication themes to estimate the distribution of different types of content across the ADA online community. Ten-fold cross-validation was applied to determine the best performing binary classifier for automating the classification of the entire set of messages.

Sahiti Myneni, Brittney Lewis, Tavleen Singh, Kristi Paiva, Seon Min Kim, Adrian V Cebula, Gloria Villanueva, Jing Wang

JMIR Med Inform 2020;8(6):e18441

Using Mobile Health Tools to Engage Rural Underserved Individuals in a Diabetes Education Program in South Texas: Feasibility Study

Using Mobile Health Tools to Engage Rural Underserved Individuals in a Diabetes Education Program in South Texas: Feasibility Study

To qualify for the study, participants needed to meet the following criteria: (1) live in a study community, (2) be 35 years or older, (3) own a smartphone (with a data plan) or a mobile phone (with an SMS text message plan) and have internet access via a computer or tablet, (4) complete a diabetes screening, and (5) be at high risk for diabetes, scoring >5 on the American Diabetes Association (ADA) diabetes risk test or A1c level ≥5.8, or have health care provider–diagnosed diabetes.

Zenong Yin, Janna Lesser, Kristi A Paiva, Jose Zapata Jr, Andrea Moreno-Vasquez, Timothy J Grigsby, Stacy R Ryan-Pettes, Deborah Parra-Medina, Vanessa Estrada, Shiyu Li, Jing Wang

JMIR Mhealth Uhealth 2020;8(3):e16683