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Evaluating the Knowledge Level, Practice, and Behavioral Change Potential of Care Managers in Pressure Injury Prevention Using a Mobile App Prototyping Model in the Home-Care Setting: Single-Arm, Pre-Post Pilot Study

Evaluating the Knowledge Level, Practice, and Behavioral Change Potential of Care Managers in Pressure Injury Prevention Using a Mobile App Prototyping Model in the Home-Care Setting: Single-Arm, Pre-Post Pilot Study

Amann et al [23] qualitatively investigated barriers and facilitators to the adoption of a self-management app for PI prevention in individuals with spinal cord injury. However, studies assessing a mobile app in improving knowledge and behavioral change within social welfare workers, such as CMs, who work at home-based care facilities, are lacking.

Masushi Kohta, Mayumi Takahashi, Hiroe Koyanagi, Junko Sugama

JMIR Form Res 2025;9:e57768

The Role of Assistive Technology in Enabling Older Adults to Achieve Independent Living: Past and Future

The Role of Assistive Technology in Enabling Older Adults to Achieve Independent Living: Past and Future

Practitioners in the field of assistive technology (AT) will be well versed in how over the last quarter of a century there has been a marked increase in the use of traditional or historically available AT (referring to the type of AT available prior to 2000) aimed at assisting those with a disability or specific injury, while acknowledging that some important barriers to access remain [1,2].

Anna Sweeting, Katie A Warncken, Martyn Patel

J Med Internet Res 2024;26:e58846

Using the Kirkpatrick Model to Evaluate the Effect of a Primary Trauma Care Course on Health Care Workers’ Knowledge, Attitude, and Practice in Two Vietnamese Local Hospitals: Prospective Intervention Study

Using the Kirkpatrick Model to Evaluate the Effect of a Primary Trauma Care Course on Health Care Workers’ Knowledge, Attitude, and Practice in Two Vietnamese Local Hospitals: Prospective Intervention Study

Road traffic injury is the second most common cause of death for people in Vietnam in the age group of 5‐14 years, representing the most vulnerable and dependent population, and is the most common cause of death and disability for those in the age group of 15‐49 years, representing the most productive population [13].

Ba Tuan Nguyen, Van Anh Nguyen, Christopher Leigh Blizzard, Andrew Palmer, Huu Tu Nguyen, Thang Cong Quyet, Viet Tran, Marcus Skinner, Haydn Perndt, Mark R Nelson

JMIR Med Educ 2024;10:e47127

Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study

Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study

Patients with a clinical diagnosis of acute m TBI were enrolled prospectively through availability sampling (as this was an exploratory pilot study) in an emergency department after presenting with head trauma and known mechanism of injury less than 36 hours post injury from July 2022 to March 2023. m TBI was defined according to the American College of Rehabilitation Medicine (ACRM) criteria [16]. Participants were excluded if they had any intracranial abnormalities on neuroimaging.

Anthony J Maxin, Do H Lim, Sophie Kush, Jack Carpenter, Rami Shaibani, Bernice G Gulek, Kimberly G Harmon, Alex Mariakakis, Lynn B McGrath, Michael R Levitt

JMIR Neurotech 2024;3:e58398

Visual “Scrollytelling”: Mapping Aquatic Selfie-Related Incidents in Australia

Visual “Scrollytelling”: Mapping Aquatic Selfie-Related Incidents in Australia

Selfies are a modern, yet preventable cause of injury and death [1]. Medical responses and retrieval of persons, often in challenging terrain, burdens emergency medicine practitioners. To help prevent this issue, this study aimed to visualize selfie-related incidents globally by initially creating a scrollable visual story overlayed on a satellite map of the incidents in Australia. This type of visual storytelling technique using a world map helps illustrate the spatial context of this public health issue.

Samuel Cornell, Amy E Peden

Interact J Med Res 2024;13:e53067

Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation

Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation

In the United States, health care systems absorb on average US $10,000 per hospital-acquired pressure injury (HAPI), which contributes to a cost burden that will soon exceed US $30 billion [4,5]. Prevention of pressure injuries requires an accurate risk assessment and an interdisciplinary approach with routine repositioning, maintaining dry skin, and padding pressure points to reduce injury [6-8].

Thomas J Reese, Henry J Domenico, Antonio Hernandez, Daniel W Byrne, Ryan P Moore, Jessica B Williams, Brian J Douthit, Elise Russo, Allison B McCoy, Catherine H Ivory, Bryan D Steitz, Adam Wright

JMIR Med Inform 2024;12:e51842

Characteristic Changes of the Stance-Phase Plantar Pressure Curve When Walking Uphill and Downhill: Cross-Sectional Study

Characteristic Changes of the Stance-Phase Plantar Pressure Curve When Walking Uphill and Downhill: Cross-Sectional Study

Exclusion criteria were aged under 18 years, use of walking aids, inability to give consent, pregnancy, immobility, and previous injury of the lower legs or pelvis. The aim was to collect data from healthy volunteers. The healthy participants of both sexes (none of them identified as diverse) were fitted with individually calibrated Open GO insoles (Moticon Gmb H) with 16 pressure sensors in each insole to be used in regular running shoes.

Christian Wolff, Patrick Steinheimer, Elke Warmerdam, Tim Dahmen, Philipp Slusallek, Christian Schlinkmann, Fei Chen, Marcel Orth, Tim Pohlemann, Bergita Ganse

J Med Internet Res 2024;26:e44948

Knowledge, Skills, and Experience With Technology in Relation to Nutritional Intake and Physical Activity Among Older Adults at Risk of Falls: Semistructured Interview Study

Knowledge, Skills, and Experience With Technology in Relation to Nutritional Intake and Physical Activity Among Older Adults at Risk of Falls: Semistructured Interview Study

By contrast, the informants from the structured physical activities group had more knowledge about, and were more attentive to, staying active during and after an illness or injury. Regarding the informants’ perception and mindset toward their food intake, many expressed uncertainty about whether there were particular foods that would benefit their health. However, the majority expressed that they should consume more vegetables, and some also expressed that they strived to do so.

Julie Kikkenborg, Emma Magelund, Maria Silke Riise, Lars Kayser, Rikke Terp

JMIR Hum Factors 2024;11:e52575

Effect of Rural Trauma Team Development on the Outcomes of Motorcycle Accident–Related Injuries (Motor Registry Project): Protocol for a Multicenter Cluster Randomized Controlled Trial

Effect of Rural Trauma Team Development on the Outcomes of Motorcycle Accident–Related Injuries (Motor Registry Project): Protocol for a Multicenter Cluster Randomized Controlled Trial

Uganda is one of the LMICs in Africa with a high road traffic injury burden [5]. Our recent studies showed that most fatal injuries in Uganda result from motorized 2-wheeler and car collisions, contributing to 52.6%-64.7% of orthopedic and traumatic brain injuries [6-8]. Further, the majority (74%) of Uganda’s population lives in rural areas [9], which could partly explain the high injury-related mortality rates.

Herman Lule, Micheal Mugerwa, Robinson Ssebuufu, Patrick Kyamanywa, Till Bärnighausen, Jussi P Posti, Michael Lowery Wilson

JMIR Res Protoc 2024;13:e55297

Response Rate Patterns in Adolescents With Concussion Using Mobile Health and Remote Patient Monitoring: Observational Study

Response Rate Patterns in Adolescents With Concussion Using Mobile Health and Remote Patient Monitoring: Observational Study

Subgroups included demographics (sex and age), injury features (injury mechanism, concussion history, initial symptom burden on enrollment), and time between the date of injury and date of first app use (ie, days from injury to app use). The age range was categorized as younger teens (ie, ages 11-14 y) and older teens (ages 15-18 y). Days from injury to app use was categorized into two groups: ≤7 days and >7 days.

Sicong Ren, Catherine C McDonald, Daniel J Corwin, Douglas J Wiebe, Christina L Master, Kristy B Arbogast

JMIR Pediatr Parent 2024;7:e53186