Interactive Journal of Medical Research

A new general medical journal for the 21st century, focusing on innovation in health and medical research.

Editor-in-Chief:

Taiane de Azevedo Cardoso, BSc, MSc, PhD, Affiliate Senior Lecturer, School of Medicine, Deakin University, Australia; Scientific Editor, JMIR Publications, Canada


Impact Factor 1.9

Interactive Journal of Medical Research (i-JMR, ISSN: 1929-073X, Journal Impact Factor™: 1.9 (Clarivate, 2024), 5-Year Journal Impact Factor™: 2.2) is a general medical journal with a focus on innovation in health, health care, and medicine - through new medical techniques and innovative ideas and/or research, including—but not limited to—technology, clinical informatics, sociotechnical and organizational health care innovations, or groundbreaking research.

i-JMR is indexed in PubMedPubMed Central, Sherpa/Romeo, EBSCO, DOAJ, and Clarivate's Emerging Sources Citation Index (ESCI).

Recent Articles

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Health locus of control (HLOC) is a theory that describes how individuals perceive different forces that influence their lives. The concept of a locus of control can affect an individual’s likelihood to commit to behaviors related to their health. This study explores the literature on the relationships between HLOC and medical behavioral interventions.

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Surgery, Trauma and Surgical Sciences

Postoperative fever frequently indicates surgical complications and is commonly used to evaluate the efficacy of interventions against surgical stress. However, the presence of circadian rhythms in body temperature may compromise the accurate detection of fever.

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Commentary

The psychological well-being of astronauts is becoming just as vital as their physical and technical readiness as space missions extend into deep space. Long-duration missions pose unique challenges, such as isolation, confinement, communication delays, and microgravity, which can significantly affect mental health and cognitive performance. This commentary discusses the need for innovative mental health support systems, including automated psychotherapy, as well as Earth-based training methods like mindfulness and relaxation techniques, to address the psychological demands of space travel. By integrating these approaches into pre-mission preparation and in-flight routines, astronauts can develop self-regulation strategies to manage stress, improve focus, and enhance emotional resilience. Automated psychotherapy available 24-7 provides real-time confidential support when communication with Earth is delayed. As space exploration moves forward, the success of missions will depend not only on technological advancements but also on the development of psychological countermeasures that prioritize mental health alongside physical well-being. This paper emphasizes the importance of continued research and collaboration to refine and test these tools in analog environments, ensuring astronauts are mentally and emotionally prepared for the challenges of space.

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Viewpoints

Various behavioral and mental health issues have been reported by space crews for decades, with the overall number of mental health complications expected to be higher than is publicly known. The broad range of mental health complications encountered in space is expected to grow as people venture deeper into space. Issues with privacy, dual relationships, and delayed communications make rendering effective psychological therapy difficult in a spaceflight environment and nearly impossible in deep space. Automated psychotherapy offers a way to provide psychotherapy to astronauts both in deep space and low Earth orbit. Although automated psychotherapy is growing in popularity on Earth, little is known about its efficacy in space. This viewpoint serves to highlight the knowns and unknowns regarding this treatment modality for future deep space missions, and places an emphasis on the need for further research into the applicability and practicality of automated psychotherapy for the spaceflight environment, especially as it relates to long-duration, deep space missions.

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Public Health

The Delta variant (B.1.617.2) was considered the most dangerous SARS-CoV-2 strain; however, in-depth studies on its impact based on demographic and clinical characteristics of COVID-19 are scarce.

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Respiratory Medicine

COPD (chronic obstructive pulmonary disease) and bronchiectasis are common, and exacerbations contribute to their morbidity and mortality. Predictive factors for the frequency of future exacerbations include previous exacerbation frequency and airway colonization. Earlier treatment of exacerbations is likely to reduce severity.

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Public Health

Clinical routine data derived from university hospitals hold immense value for health-related research on large cohorts. However, using secondary data for hypothesis testing necessitates adherence to scientific, legal (such as the General Data Protection Regulation, federal and state protection legislations), technical, and administrative requirements. This process is intricate, time-consuming, and susceptible to errors.

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Reviews

Plagiocephaly is defined as an asymmetrical distortion of the skull, resulting in an oblique trapezoid or parallelogram head shape. Deformational plagiocephaly (DP) is caused by forces acting on one side of the back of the head, distorting normal skull symmetry.

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Reviews

Prehospital telemedicine triage systems combined with machine learning (ML) methods have the potential to improve triage accuracy and safely redirect low-acuity patients from attending the emergency department. However, research in prehospital settings is limited but needed; emergency department overcrowding and adverse patient outcomes are increasingly common.

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Reviews

Diet-related diseases, such as type 2 diabetes, require strict dietary management to slow down disease progression and call for innovative management strategies. Conventional diet monitoring places a significant memory burden on patients, who may not accurately remember details of their meals and thus frequently falls short in preventing disease progression. Recent advances in sensor and computational technologies have sparked interest in developing eating detection platforms.

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Preprints Open for Peer-Review

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