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The Tough Talks COVID (TT-C) study was a randomized controlled trial of a DHI designed to empower Black young adults in the United States South to make informed, autonomous decisions about COVID-19 vaccine uptake (Clinical Trials.gov NCT05490329) [30]. The TT-C intervention was cocreated using community-based participatory research methods to address structural barriers and misinformation about vaccines through interactive activities and digital storytelling [31,32].
JMIR Public Health Surveill 2025;11:e67370
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DNA methylation affects gene expression by adding a methyl group to 5’—C—phosphate—G—3’ dinucleotides. These DNA methylation patterns can be analyzed to determine epigenetic age or “biological age” through epigenetic clocks. Previous research has found that accelerated epigenetic age can be a risk factor for cancer, cardiovascular and neurological diseases, as well as death from all causes combined [12].
JMIR Res Protoc 2025;14:e67120
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Simulator Sickness Questionnaire.
b DS: depressive symptom.
c HC: healthy control.
d Literature averages are taken from Saredakis et al [23] based on a meta-analysis of 55 studies on approximately 3000 participants.
e The categorization is solely dependent on the Patient Health Questionnaire-9 score and does not indicate the presence of a clinical diagnosis.
f P
g P
h P
Boxplot of self-reported cybersickness severity scores for the HC and DS study groups—measured by the (A) SSQ, and its 3 subscales of (B) nausea, (C)
JMIR Form Res 2025;9:e68132
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methadone Tracy': transformations in service-user identity following the introduction of hepatitis C a proposed pharmacy-based harm reduction intervention to reduce opioid overdose, HIV and hepatitis C
JMIR Res Protoc 2025;14:e69829
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Next, we concatenated the extracted elements (ie, the answers to the aforementioned 4 questions [A]) with the following prompt (P)—“Let’s integrate the above information and summarize this patient comment:”—along with the patient comment (C) to prompt the LLM for patient comment summary generation. The input to the LLMs was [A; P; C], and the output was the final summary.
The advanced prompting techniques used in this study were applied in combination with each instruction-based model.
JMIR Med Inform 2025;13:e62909
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