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
Impact Factor 5.8 CiteScore 14.4
Recent Articles
The shift in medical care toward prediction and prevention has led to the emergence of digital health care as a valuable tool for managing health issues. Aiding long-term follow-up care for cancer survivors and contributing to improved survival rates. However, potential barriers to mobile health usage, including age-related disparities and challenges in user retention for commercial health apps, highlight the need to assess the impact of patients’ abilities and health status on the adoption of these interventions.
Pharmaceutical product development relies on thorough and costly clinical trials. Participant recruitment and monitoring can be challenging. The incorporation of cutting-edge technologies such as blockchain and artificial intelligence has revolutionized clinical research (particularly in the recruitment stage), enhanced secure data storage and analysis, and facilitated participant monitoring while protecting their personal information.
Long wait times for mental health treatments may cause delays in early detection and management of suicidal ideation and behaviors, which are crucial for effective mental health care and suicide prevention. The use of digital technology is a potential solution for prompt identification of youth with high suicidality.
Increasing digital technology and media use among young people has raised concerns about problematic use and negative consequences. The formal recognition of a technology addiction (eg, gaming disorder) requires an understanding of the landscape of interventions designed to prevent this disorder and related technology addictions.
Psychological distress is prevalent among health care professionals and can lead to poor-quality patient care. Internet-based acceptance and commitment therapy (iACT) is a promising intervention for improving mental health due to its low cost and easy access. However, there is limited evidence of its effectiveness in reducing health care professionals’ psychological distress.
Evaluating precision oncology outcomes requires access to real-world and clinical trial data. Access is based on consent, and consent is based on patients’ informed preferences when deciding to share their data. Decision-making is often modeled using utility theory, but a complex decision context calls for a consideration of how heuristic, intuitive thought processes interact with rational utility maximization. Data-sharing decision-making has been studied using heuristic theory, but almost no heuristic research exists in the health data context. This study explores this evidence gap, applying a qualitative approach to probe for evidence of heuristic mechanisms behind the health data-sharing preferences of those who have experienced cancer. Exploring qualitative decision-making reveals the types of heuristics used and how they are related to the process of decision-making to better understand whether consent mechanisms should consider nonrational processes to better serve patient decision-making.
Open-world games, characterized by their expansive and interactive environments, may offer unique cognitive escapism opportunities, potentially leading to relaxation and enhanced well-being. These games, such as “The Legend of Zelda: Breath of the Wild” and “The Legend of Zelda: Tears of the Kingdom,” allow players to experience a sense of freedom and autonomy, which can reduce stress and improve mental health. While previous research has examined the general impact of video games on mental well-being, specific studies on the effects of open-world games among postgraduate students are limited.
As of 2021, at least 4 out of every 5 hospitals offered patients access to clinical notes via a web-based patient portal, a number that is expected to grow because of the 21st Century Cures Act. There is limited data on how open note use may have evolved over time or which types of clinical interactions were viewed most in the outpatient setting.
The performance of a classification algorithm eventually reaches a point of diminishing returns, where the additional sample added does not improve the results. Thus, there is a need to determine an optimal sample size that maximizes performance while accounting for computational burden or budgetary concerns.
A low breastfeeding rate causes an increased health care burden and negative health outcomes for individuals and society. Coparenting is an essential tactic for encouraging breastfeeding when raising a child. The efficacy of the coparenting interventions in enhancing breastfeeding-related outcomes is controversial.
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