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AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients

The median time to death since hospital admission was 11.9 (IQR 5.6-18.2) days, and the median time to ICU admission was 2.8 (IQR 0.8-4.8) days. Figure 1 [20,21] illustrates the trends in admissions, mortality rate, and age over the study period. Data have been smoothed using a moving 14-day sliding window average to filter high-frequency stochastic behavior. Spain has experienced 7 waves of SARS-Co V-2 infections, leading to 7 hospital admissions waves in HUF [20].

Jose Manuel Ruiz Giardin, Óscar Garnica, Nieves Mesa Plaza, Juan Víctor SanMartín López, Ana Farfán Sedano, Elena Madroñal Cerezo, Miguel Ángel Duarte Millán, Aida Izquierdo Martínez, Luis Rivas, Marta Rivilla, Alejandro Morales Ortega, Begoña Frutos Pérez, Cristina De Ancos Aracil, Ruth Calderón, Guillermo Soria Fernandez, Jorge Marrero Francés, David Bernal Bello, Jose Ángel Satué Bartolomé, María Toledano Macías, Sara Piedrabuena García, Marta Guerrero Santillán, Rafael Cristóbal, Belen Mora, Laura Velázquez Ríos, Vanesa García de Viedma, Paula Cuenca Ruiz, Ibone Ayala Larrañaga, Lorena Carpintero, Celia Lara, Alvaro Ricardo Llerena, Virginia García Bermúdez, Gema Delgado Cárdenas, Paloma Pardo Rovira, Elena Tejero Sánchez, Maria Jesús Domínguez García, Carolina Mariño, Cristina Bravo, Ana Ontañon, Mario García, Jose Ignacio Hidalgo Pérez, Santiago Prieto Menchero, Natalia González Pereira, Sonia Gonzalo Pascua, Jorge Tarancón Rey, Luis Antonio Lechuga Suárez, FUENCOVID

J Med Internet Res 2025;27:e70674

A Brief Cognitive Behavioral Therapy–Based Digital Intervention for Reducing Hazardous Alcohol Use in South Korea: Development and Prospective Pilot Study

A Brief Cognitive Behavioral Therapy–Based Digital Intervention for Reducing Hazardous Alcohol Use in South Korea: Development and Prospective Pilot Study

It is a leading cause of death and disability globally, contributing to a wide range of acute and chronic medical conditions. Acute medical consequences of high alcohol intake include injuries, car accidents, and violence [3]. Chronic diseases associated with alcohol consumption include liver cirrhosis, cardiovascular diseases, and various cancers [4-8].

Manjae Kwon, Daa Un Moon, Minjae Kang, Young-Chul Jung

JMIR Form Res 2025;9:e64459

Development of a Real-Time Dashboard for Overdose Touchpoints: User-Centered Design Approach

Development of a Real-Time Dashboard for Overdose Touchpoints: User-Centered Design Approach

I know we had a lot of laws related to the child death review teams that I worked with that allowed us access to data, but it wasn't always the same for other death review teams. While recognizing existing regulatory and logistical obstacles, participants anticipated that increasing data access could empower OFRs to make more informed decisions: We’re trying to drive positive change that could maybe be implemented statewide, and they just give us a little bit.

Amey Salvi, Logan A Gillenwater, Brandon P Cockrum, Sarah E Wiehe, Kaitlyn Christian, John Cayton, Timothy Bailey, Katherine Schwartz, Allyson L Dir, Bradley Ray, Matthew C Aalsma, Khairi Reda

JMIR Hum Factors 2024;11:e57239

Addressing Hospital Overwhelm During the COVID-19 Pandemic by Using a Primary Health Care–Based Integrated Health System: Modeling Study

Addressing Hospital Overwhelm During the COVID-19 Pandemic by Using a Primary Health Care–Based Integrated Health System: Modeling Study

A: infected population without symptoms; D: death; E: infected population during the incubation period; GB: getting better; GW: getting worse; HR: home recovery; I: infected population with symptoms; PHC: primary health care; R: recover; RA: population in A that has recovered; S: susceptible population without vaccination; SV: susceptible population with vaccination.

Jiaoling Huang, Ying Qian, Yuge Yan, Hong Liang, Laijun Zhao

JMIR Med Inform 2024;12:e54355

Association of Remote Patient-Reported Outcomes and Step Counts With Hospitalization or Death Among Patients With Advanced Cancer Undergoing Chemotherapy: Secondary Analysis of the PROStep Randomized Trial

Association of Remote Patient-Reported Outcomes and Step Counts With Hospitalization or Death Among Patients With Advanced Cancer Undergoing Chemotherapy: Secondary Analysis of the PROStep Randomized Trial

The rate of the composite outcome of hospitalization or death was 44% (n=25). On average, a 1-point increase in the aggregate PRO score was associated with a 20% increase in adjusted odds of hospitalization or death (adjusted odds ratio [a OR] 1.2, 95% CI 1.1-1.4; P=.01; Table 2).

Christopher R Manz, Emily Schriver, William J Ferrell, Joelle Williamson, Jonathan Wakim, Neda Khan, Michael Kopinsky, Mohan Balachandran, Jinbo Chen, Mitesh S Patel, Samuel U Takvorian, Lawrence N Shulman, Justin E Bekelman, Ian J Barnett, Ravi B Parikh

J Med Internet Res 2024;26:e51059

Understanding Symptom Self-Monitoring Needs Among Postpartum Black Patients: Qualitative Interview Study

Understanding Symptom Self-Monitoring Needs Among Postpartum Black Patients: Qualitative Interview Study

This study focused on designing a culturally congruent mobile health (m Health) app to support postpartum symptom monitoring, as the current practice does not adequately support patients in identifying the warning signs of pregnancy-related death (PRD). First, we describe the public health case for symptom monitoring and decision support for PRD, specifically among US-based, Black patients, a group that faces severe disparities [1,2].

Natalie Benda, Sydney Woode, Stephanie Niño de Rivera, Robin B Kalish, Laura E Riley, Alison Hermann, Ruth Masterson Creber, Eric Costa Pimentel, Jessica S Ancker

J Med Internet Res 2024;26:e47484

Photos Shared on Facebook in the Context of Safe Sleep Recommendations: Content Analysis of Images

Photos Shared on Facebook in the Context of Safe Sleep Recommendations: Content Analysis of Images

In the United States, approximately 3500 infant deaths are attributed to the category of sudden unexpected infant death (SUID) on a yearly basis [1]. SUID includes death due to sudden infant death syndrome (SIDS), accidental suffocation and strangulation in bed, and ill-defined deaths [1].

Kelly Pretorius, Sookja Kang, Eunju Choi

JMIR Pediatr Parent 2024;7:e54610

Estimated Number of Injection-Involved Overdose Deaths in US States From 2000 to 2020: Secondary Analysis of Surveillance Data

Estimated Number of Injection-Involved Overdose Deaths in US States From 2000 to 2020: Secondary Analysis of Surveillance Data

Estimated injection-involved overdose death rate among adults, by state and region, United States, 2020. The vertical line represents the national estimated injection overdose death rate for 2020. States without an estimate either did not report data to TEDS-A or were suppressed.

Eric William Hall, Patrick Sean Sullivan, Heather Bradley

JMIR Public Health Surveill 2024;10:e49527