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Ethical Implications of Artificial Intelligence in Vaccine Equity: Protocol for Exploring Vaccine Distribution Planning and Scheduling in Pandemics in Low- and Middle-Income Countries

Ethical Implications of Artificial Intelligence in Vaccine Equity: Protocol for Exploring Vaccine Distribution Planning and Scheduling in Pandemics in Low- and Middle-Income Countries

The inclusion criteria are as follows: studies (wide range of study designs or methods) involving stakeholders or systems related to vaccine distribution, in the English language, and with a time frame of 2019-2023. The exclusion criteria are as follows: papers that do not specify any LMIC-relevant context; do not discuss ethical issues, health equity, or decision-making implications; are published in languages other than English; or are not accessible in full text.

Ifeanyichukwu Akuma, Vina Vaswani, Elif Perihan Ekmekci

JMIR Res Protoc 2025;14:e76634

Multidomain Behavioral Change Digital Coaching for Chronic Disease Management in Patients With Type 2 Diabetes: Framework Development and Preliminary Evaluation

Multidomain Behavioral Change Digital Coaching for Chronic Disease Management in Patients With Type 2 Diabetes: Framework Development and Preliminary Evaluation

The Behaviour Change Wheel (BCW) was used to design the program based on unique behavioral, population, and setting characteristics [9,10], linking evidence-based intervention functions and digital coaching methods to a behavioral model at the core. This core model was the capability, opportunity, motivation, and behavior (COM-B) model, the second framework used, which helped us understand behaviors in terms of their determinants, further linking them to BCTs as their implementation strategies.

Konstantina Kostopoulou, Danae Lekka, Aristodemos Pnevmatikakis, Nelina Angelova, Panagiotis Stafylas, Stefanos Tamouridis, Alexandra Bargiota, Sofoklis Kyriazakos

JMIR Form Res 2025;9:e73807

Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts

Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts

Research using online information and leveraging methods to work efficiently with large datasets of user-generated text has the potential to accelerate knowledge generation and offer meaningful insights into online behaviors and changing interests related to abortion.

Elizabeth Pleasants, Ndola Prata, Ushma D Upadhyay, Cassondra Marshall, Coye Cheshire

JMIR Infodemiology 2025;5:e72771

Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach

Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach

Pairwise Markov random fields and directed acyclic graphs are the most used methods in the psychopathological sciences [18]. Pairwise Markov random fields (Ising model and Gaussian graphical model) involve undirected models used to represent conditional dependence or independence between pairs of variables and are constructed using local conditional probability distributions [18].

Vincent Richard, Allison Gilbert, Emanuela Pizzolla, Giovanni Briganti

JMIR Cancer 2025;11:e66087

Mental Health Care Guidelines for Telemedicine During the COVID-19 Pandemic: Scoping Review

Mental Health Care Guidelines for Telemedicine During the COVID-19 Pandemic: Scoping Review

While formal, continuing, and organizational education was discussed as a topic (n=17) [7, 11, 16-18, 25, 27, 34, 36, 37, 45, 46, 63, 64, 66, 67, 70], the dominant focus of this subtheme was the need for innovative methods to deliver traditional in-person treatments via TMH (n=32) [7, 9-11, 14, 17-19, 24-30, 33, 34, 36-38, 42, 44, 45, 50, 52-56, 58, 66, 67].

Julia Ivanova, Triton Ong, Hattie Wilczewski, Mollie Cummins, Hiral Soni, Janelle Barrera, Brandon Welch, Brian Bunnell

JMIR Ment Health 2025;12:e56534

Effectiveness of Gamified Teaching in Disaster Nursing Education for Health Care Workers: Systematic Review

Effectiveness of Gamified Teaching in Disaster Nursing Education for Health Care Workers: Systematic Review

The components of the study were as follows: (1) Population: nursing students or registered nurses; (2) Intervention: educational programs incorporating core gamification elements (eg, themed games, virtual reality simulations, tabletop games, escape rooms, serious games, etc); (3) Comparison: traditional teaching methods (theoretical lectures) and nongamified e-learning; (4) Outcome: knowledge acquisition, skill performance, learner satisfaction, and evaluation of teaching effectiveness; and (5) Study design

Shiyi Bai, HuiJuan Zeng, Qianmei Zhong, Lulu Cao, Mei He

J Med Internet Res 2025;27:e74955

Developing a Framework for Online Review-Based Health Care Service Quality Assessment: Text-Mining Study

Developing a Framework for Online Review-Based Health Care Service Quality Assessment: Text-Mining Study

In particular, latent Dirichlet allocation (LDA), sentiment analysis, and various deep learning methods have been used to extract and discern customer opinions and sentiment polarity on quality dimensions [41,43-45], and identify essential factors that influence customer satisfaction [46,48].

Xue Zhang, Jianshan Sun, Xin Li, Yezheng Liu, Chenwei Li

J Med Internet Res 2025;27:e66141

Sustained Virological Response as a Surrogate Marker for Mortality, Decompensated Cirrhosis, or Hepatocellular Carcinoma in People With Chronic Hepatitis C Virus Infection Treated With Direct-Acting Antivirals: Protocol for a Bayesian and Causal Mediation Analysis

Sustained Virological Response as a Surrogate Marker for Mortality, Decompensated Cirrhosis, or Hepatocellular Carcinoma in People With Chronic Hepatitis C Virus Infection Treated With Direct-Acting Antivirals: Protocol for a Bayesian and Causal Mediation Analysis

We will use 95% Cr Is as we will be using Bayesian methods to indicate that SVR is a good surrogate marker for the clinical event. If this cannot be achieved, we will calculate the 80% Cr I and see if the lower limit is above 0.85 [24]. If the lower limit of the 80% Cr I is above 0.85 but not the 95% Cr I, we will consider that SVR may be a good surrogate marker for the clinical event but that there is uncertainty around this conclusion, and further studies are necessary.

Kurinchi Selvan Gurusamy, Christian Gluud

JMIR Res Protoc 2025;14:e68113

Analyzing Public Google Search Interest in Measles Within Canada: Identifying Key Moments for Targeted Risk Communication

Analyzing Public Google Search Interest in Measles Within Canada: Identifying Key Moments for Targeted Risk Communication

Reference 8: Assessing the methods, tools, and statistical approaches in Google Trends research: systematic

Mohammad Jokar, Diego Nobrega

J Med Internet Res 2025;27:e75025

Impact of News Portrayals of Physicians as Vulnerable on the Public’s Evaluation and Trust in Physicians Under Different Involvement Levels: Quantitative Study

Impact of News Portrayals of Physicians as Vulnerable on the Public’s Evaluation and Trust in Physicians Under Different Involvement Levels: Quantitative Study

Informed consent was obtained from all participants before their participation in the survey. Participants were provided with a detailed informed consent form outlining the purpose of the study, the duration of the investigation, the procedures, and the potential risks and benefits. They were informed that their participation was voluntary and that they had the right to withdraw at any time without facing any negative consequences.

Qiwei Li, Jie Zhou

J Med Internet Res 2025;27:e67947