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A Novel Just-in-Time Intervention for Promoting Safer Drinking Among College Students: App Testing Across 2 Independent Pre-Post Trials

A Novel Just-in-Time Intervention for Promoting Safer Drinking Among College Students: App Testing Across 2 Independent Pre-Post Trials

The primary goal of bhoos is therefore to promote safer drinking behaviors, in large part by increasing students’ confidence in engaging in protective strategies, with the potential secondary outcome of reducing overall alcohol consumption. We investigated the feasibility and preliminary impact of bhoos in 2 pre-post studies conducted among students at a mid-Atlantic university in the US over a 4-week period.

Philip I Chow, Jessica Smith, Ravjot Saini, Christina Frederick, Connie Clark, Maxwell Ritterband, Jennifer P Halbert, Kathryn Cheney, Katharine E Daniel, Karen S Ingersoll

JMIR Hum Factors 2025;12:e69873

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

Acute kidney injury (AKI) represents a critical challenge in postoperative care, significantly affecting patient outcomes and health care systems. It is a common complication that affects up to 5% to 7.5% of all hospitalized patients, with a markedly higher prevalence of 20% in intensive care units [1]. Among all AKI in hospitalized patients, 40% occur in postoperative patients [1].

Ji Won Min, Jae-Hong Min, Se-Hyun Chang, Byung Ha Chung, Eun Sil Koh, Young Soo Kim, Hyung Wook Kim, Tae Hyun Ban, Seok Joon Shin, In Young Choi, Hye Eun Yoon

J Med Internet Res 2025;27:e62853

Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

A notable gap in cardiovascular health is the tendency of current approaches to CVD prevention, diagnosis, and treatment to overlook the physiological differences between sexes [4]. This has contributed to a lack of awareness regarding women’s cardiovascular risks, resulting in delayed diagnoses and suboptimal care [5].

Gauri Kumari Chauhan, Patrick Vavken, Christine Jacob

JMIR Mhealth Uhealth 2025;13:e65782

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

At the same time, commercial smartphone apps have many limitations in research, especially in collecting physical activity data over a sufficient period [16]. Consequently, the practical application of the research results to patients with cancer in the real world is limited, although e Health tools can provide a potent resource to facilitate personalized and accessible care in daily life [11,12].

Yae Won Tak, Junetae Kim, Haekwon Chung, Sae Byul Lee, In Ja Park, Sei Won Lee, Min-Woo Jo, Jong Won Lee, Seunghee Baek, Yura Lee

J Med Internet Res 2025;27:e52694

Patients’ and Health Care Professionals’ Expectations of Virtual Therapeutic Agents in Outpatient Aftercare: Qualitative Survey Study

Patients’ and Health Care Professionals’ Expectations of Virtual Therapeutic Agents in Outpatient Aftercare: Qualitative Survey Study

Conversely, in moments of self-doubt and struggle, they now have limited access to timely support. In the hospital, a safe environment with a wide range of support is available, especially in critical situations. However, this changes after discharge [10]. Outpatient psychiatric aftercare, when available, is limited and does not cover all critical situations that prevail in suicidal moments [11].

Diana Immel, Bernhard Hilpert, Patricia Schwarz, Andreas Hein, Patrick Gebhard, Simon Barton, René Hurlemann

JMIR Form Res 2025;9:e59527

Physiological Sensors Equipped in Wearable Devices for Management of Long COVID Persisting Symptoms: Scoping Review

Physiological Sensors Equipped in Wearable Devices for Management of Long COVID Persisting Symptoms: Scoping Review

This variation underscores the need for a comprehensive review to synthesize existing knowledge, evaluate the effectiveness of different wearable technologies, and identify best practices for their application in long COVID management. A thorough review can help bridge the gaps in this research and guide future innovations in wearable technology for more effective monitoring and management of long COVID.

Shikha Kukreti, Meng-Ting Lu, Chun-Yin Yeh, Nai-Ying Ko

J Med Internet Res 2025;27:e69506

Vaping, Acculturation, and Social Media Use Among Mexican American College Students: Protocol for a Mixed Methods Web-Based Cohort Study

Vaping, Acculturation, and Social Media Use Among Mexican American College Students: Protocol for a Mixed Methods Web-Based Cohort Study

In this paper, we describe the protocol and present the planned mixed methodologies to be used in Project VAMo S. We present descriptive analyses of the participants enrolled in the study, focus on methodological strengths, and discuss lessons learned during the implementation of the study protocol related to recruitment and data collection and management.

Bara S Bataineh, C Nathan Marti, Dhiraj Murthy, David Badillo, Sherman Chow, Alexandra Loukas, Anna V Wilkinson

JMIR Res Protoc 2025;14:e63584

Sustainable Implementation of Digital Assistive Technologies in Health Care Through a Simplified Interaction and Control Platform: Protocol for a Cocreative Feasibility Study

Sustainable Implementation of Digital Assistive Technologies in Health Care Through a Simplified Interaction and Control Platform: Protocol for a Cocreative Feasibility Study

The DAT should also promote an individual, programmable user interface for caregivers in an easier way to better meet the needs of those in need of care.

Pascal Müller, Sebastian Hofstetter, Patrick Jahn

JMIR Res Protoc 2025;14:e63089

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based Sentiment Analysis

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based Sentiment Analysis

Some researchers have indicated that they tested the coding accuracy of ICD-11 in a large-scale pilot study in 59 public hospitals in China. The results indicated that ICD-11 is well in line with Chinese disease classification habits, with the accuracy of the total coding domains and the accuracy of the word stem codes reaching 82.9% and 92.2%, respectively [28].

Jiaxuan Li, Yunchu Yang, Chao Mao, Patrick Cheong-Iao Pang, Quanjing Zhu, Dejian Xu, Yapeng Wang

J Med Internet Res 2025;27:e66344