Journal of Medical Internet Research
The leading peer-reviewed journal for digital medicine and health and health care in the internet age.
Editor-in-Chief:
Gunther Eysenbach, MD, MPH, FACMI, Founding Editor and Publisher; Adjunct Professor, School of Health Information Science, University of Victoria, Canada Rachele Hendricks-Sturrup, DHSc, MSc, MA, FACTS, Lead Editor; Research Director of Real-World Evidence, Duke-Margolis Institute for Health Policy, Washington, DC
Impact Factor 8.2 More information about Impact Factor CiteScore 10.4 More information about CiteScore
Recent Articles
Among community-dwelling older adults living alone, less frequent preintervention social contact was associated with greater reductions in loneliness during a social robot intervention. Future trials should examine whether preintervention social contact modifies the effects of social robot interventions.
People with intellectual disabilities experience a disproportionate burden of preventable health conditions, often linked to low levels of physical activity and poor dietary habits. Although digital health interventions hold considerable promise for addressing these challenges, many existing solutions remain difficult to use for this population due to limited accessibility. Co-design is increasingly advocated to develop digital health solutions that better align with users’ needs, yet there is limited empirical guidance for co-design processes with people with intellectual disabilities.
Personality traits are central to understanding human behavior and life outcomes, yet their assessment remains challenging due to biases and limited expressiveness in traditional self-report inventories. The emergence of large language models (LLMs) creates new opportunities to infer personality from naturalistic text, but it remains unclear whether these systems can reliably predict validated personality traits or whether their predictions primarily reflect superficial linguistic patterns.
Large language models (LLMs) are increasingly used to quantify psychological constructs from natural language, yet their outputs are typically evaluated only as predictions of an external label. When that label is itself imperfect, optimizing prediction conflates label agreement with construct measurement. No study has applied a multidomain measurement-oriented evaluation to LLM-derived psychological outputs.
The COVID-19 pandemic necessitated innovative approaches to health communication, particularly for non–English-speaking communities. Vietnamese Americans, who report lower rates of English proficiency, faced unique challenges accessing facts and subsequent “infodemic” of rapidly spreading information.
Musculoskeletal (MSK) conditions account for one in seven general practice consultations in the United Kingdom. Despite national guidelines, suboptimal care remains common. Digital clinical decision support systems (CDSSs) offer a promising route to improve care quality but have not been robustly evaluated in MSK primary care.
Health care workers (HCWs) experienced significant mental health challenges, particularly anxiety, during the COVID-19 pandemic. Although social media became a primary source of information and connection, it was also a potential source of stress. The influence of social media on HCWs’ anxiety is not well understood.
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