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

Patient-facing digital health tools such as mobile health apps, wearables, and digital therapeutics have expanded rapidly and show promise for improving chronic disease management. Despite increasing evidence of effectiveness, health systems and payers continue to face challenges integrating these tools into routine care.

Early risk stratification in emergency medical services (EMS) is essential for patients presenting with acute cardiopulmonary symptoms, yet prehospital decision-making at the dispatch stage is often based on limited structured information. Free-text dispatch narratives may contain additional clinical signals, but their role in early risk assessment remains insufficiently characterized.




Internet support groups (ISGs) provide accessible peer support for individuals with depression; yet, their withdrawal rates are substantially higher than those observed in general online groups. Existing research has focused primarily on retention as a marker of intervention success. The significance and mechanisms of withdrawal, therefore, remain underexplored.

Generative AI chat systems are increasingly used for everyday information seeking, but plausible errors and omissions can mislead users when outputs are accepted without scrutiny. Interface-level safety cues may help users calibrate trust and engage in verification; yet, evidence in older Chinese adults remains limited.

Buprenorphine is an effective treatment for opioid use disorder and is associated with reduced mortality when retention is high; however, national studies show low retention. Evidence from outpatient settings, including telehealth, remains limited, despite population-level analyses suggesting improved retention with virtual care. Further research is needed to better understand retention and optimize care for people with opioid use disorder.
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