JMIR Formative Research
Process evaluations, early results, and feasibility/pilot studies of digital and non-digital interventions
Editor-in-Chief:
Amaryllis Mavragani, PhD, Scientific Editor at JMIR Publications, Canada
Impact Factor 2.1 More information about Impact Factor CiteScore 3.5 More information about CiteScore
Recent Articles

Large language models (LLMs) such as ChatGPT are increasingly used to support health-related queries and decision-making. However, these models can be “jailbroken” through adversarial prompts that bypass safety filters and elicit harmful or medically inappropriate responses. In health care contexts, such vulnerabilities pose serious risks. Understanding how jailbreak susceptibility varies across languages is essential for developing robust safeguards and promoting equitable access to safe health information. This paper may contain examples that may be deemed harmful in terms of violence, self-harm, and drug abuse.



Mobile mental health apps may provide an accessible, scalable, and private avenue for older veterans who may not otherwise seek or receive care to address their mental health concerns. However, older veterans may experience barriers to using these apps that need to be addressed to facilitate effective use. Such support could be effectively implemented within the US Veterans Health Administration to facilitate the use of the United States Department of Veterans Affairs’ established mental health apps and to benefit older veterans with mental health concerns.

Clinical outcomes for patients with cystic fibrosis have improved over the last decades, with a focus on enhancing the quality of life for children and their families. These improvements are expected to reduce the need for in-hospital visits, allowing for alternative care provisions that further enhance their quality of life. Telehealth can decrease the number of in-hospital visits and disruptions to everyday life.

Adolescent asthma is a significant contributor to youth morbidity and is known to be best managed through consistent medication use and symptom management. However, adolescents often struggle to perceive their symptoms accurately and consistently use their medication at the recommended rate, risking worsened symptoms and impaired quality of life. The Responsive Asthma Care for Teens (ReACT) system is a project aimed at identifying and and providing supporting for several barriers adolescents may face in asthma management. By integrating both software and hardware to monitor medication adherence, ReACT provides a personalized support plan to improve asthma management and, subsequently, quality of life.


Suicide is a leading cause of death in the United States, and state policies can be effective tools to prevent suicide. State legislators are increasingly active on social media, communicating about their legislative priorities and signaling information about their knowledge and attitudes about issues.

Anxiety sensitivity (AS), defined as the fear of anxious arousal, is a promising therapeutic target for reducing posttraumatic stress disorder (PTSD) symptom development after trauma exposure. Initial research suggests that smartphone-based AS interventions may be acceptable to sexual assault survivors at risk for PTSD symptoms and effective for symptom reduction, but only small one-arm proof-of-concept studies have been conducted.

Ischemic heart disease remains the leading cause of death worldwide. Coronary artery bypass grafting (CABG) remains the primary surgical treatment for ischemic heart disease. There is currently a lack of highly accurate and widely applicable models for assessing the risk of postoperative mortality following CABG.

Unplanned hospital readmissions represent a critical operational and financial challenge for health care systems in the United States, with 3.8 million 30-day all-cause readmissions in 2018 at an average cost of US $15,200 each, totaling US $58 billion in costs. Many published prediction models rely on comprehensive information (eg, full billing abstractions, discharge summaries, laboratory tests, and vitals) that becomes available only late in the encounter, limiting usefulness for real-time, in-hospital intervention. This creates a timeliness-accuracy trade-off: models that are most accurate retrospectively may arrive too late to act upon.

Hypertension is a significant risk factor for cardiovascular diseases and premature mortality, with its prevalence increasing due to population aging and lifestyle factors. Accurate measurement of blood pressure (BP) and arterial oxygen saturation is crucial for disease prevention and monitoring, and wearable devices have emerged as a promising alternative. However, their clinical reliability requires validation, particularly in older populations.
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