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A Smartphone App Self-Management Program for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial of Clinical Outcomes

A Smartphone App Self-Management Program for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial of Clinical Outcomes

In addition, this trial is limited by design and, due to the small sample size, lacks adequate power to demonstrate significant effects on all measured outcomes. This study made multiple comparisons between arms, which can lead to a false inference. However, this was a pilot study, and the results will not be used to make treatment decisions but can be used to generate hypotheses in subsequent, adequately powered trials. This study will provide valuable data for expanding to a multicenter trial.

Lisa Glynn, Eddie Moloney, Stephen Lane, Emma McNally, Carol Buckley, Margaret McCann, Catherine McCabe

JMIR Mhealth Uhealth 2025;13:e56318

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

Such a high percentage of positive findings is statistically highly unlikely especially given widespread low power. It is possible that publication bias affects the field of cg NF. We conducted 2 different approaches, trim-and-fill, which corrects for publication bias in small samples, and 3-parameter selection models which explicitly model the proportion of studies below a p-threshold.

Isaac Treves, Zia Bajwa, Keara D Greene, Paul A Bloom, Nayoung Kim, Emma Wool, Simon B Goldberg, Susan Whitfield-Gabrieli, Randy P Auerbach

J Med Internet Res 2025;27:e68204

The Use of Digital Devices to Monitor Physical Behavior in Motor Neuron Disease: Systematic Review

The Use of Digital Devices to Monitor Physical Behavior in Motor Neuron Disease: Systematic Review

, 95th percentile, peak performance index, and max consecutive (60, 20, 5, and 1 minute) cadences The number in the bracket refers to the number of end points per each measure Activity index: activity index mean (1), activity index median (1), activity index mode (1), activity index entropy (1), percentage daytime with low activity index (1), percentage daytime with moderate activity index (1), percentage daytime with high activity index (1), percentage acceleration in single direction (3), Spectral: total power

Lucy Samantha Musson, Nina Mitic, Victoria Leigh-Valero, Gladys Onambele-Pearson, Liam Knox, Frederik J Steyn, Cory J Holdom, Taylor JM Dick, Ruben PA van Eijk, Jordi WJ van Unnik, Lianne CM Botman, Emily Beswick, Deirdre Murray, Alys Griffiths, Christopher McDermott, Esther Hobson, Amina Chaouch, Emma Hodson-Tole

J Med Internet Res 2025;27:e68479

The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review

The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review

Reference 27: A digital companion, the Emma app, for ecological momentary assessment and prevention of Reference 63: Detecting suicidal thoughts: the power of ecological momentary assessment

Ruth Melia, Katherine Musacchio Schafer, Megan L Rogers, Emma Wilson-Lemoine, Thomas Ellis Joiner

J Med Internet Res 2025;27:e63192

Acceptability, Usability, and Insights Into Cybersickness Levels of a Novel Virtual Reality Environment for the Evaluation of Depressive Symptoms: Exploratory Observational Study

Acceptability, Usability, and Insights Into Cybersickness Levels of a Novel Virtual Reality Environment for the Evaluation of Depressive Symptoms: Exploratory Observational Study

differences are calculated via 2-tailed Mann Whitney U tests and effect sizes reflect rank-biserial (rrb) correlations. e—: not applicable. f PHQ-9: Patient Health Questionnaire-9. g P h DASS-D: Depression Anxiety Stress Scale-Depression. i DASS-A: Depression Anxiety Stress Scale-Anxiety. j DASS-S: Depression Anxiety Stress Scale-Stress. kj PANAS-Pos: Positive and Negative Affect Schedule – Positive affect l VR: virtual reality. m P n PANAS-Neg: Positive and Negative Affect Schedule – Negative affect o P A post hoc power

Sara Sutori, Emma Therése Eliasson, Francesca Mura, Victor Ortiz, Vincenzo Catrambonephd, Gergö Hadlaczky, Ivo Todorov, Antonio Luca Alfeo, Valentina Cardi, Mario G C A Cimino, Giovanna Mioni, Mariano Alcañiz Raya, Gaetano Valenza, Vladimir Carli, Claudio Gentili

JMIR Form Res 2025;9:e68132

Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems

Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems

However, the power of data relevant to health has not been fully realized. There is a need to nurture and develop data-for-health ecosystems to collect and share valuable data through transformative and responsible technological systems in timely, safe, efficient, and sustainable ways that maximize data utility for the public good. A “data ecosystem” refers to a network of entities engaged in generating, sharing, and using data resources through various technologies [1].

Lan Li, Emma Back, Suna Lee, Rebecca Shipley, Néo Mapitse, Stefan Elbe, Melanie Smallman, James Wilson, Ifat Yasin, Geraint Rees, Ben Gordon, Virginia Murray, Stephen L Roberts, Anna Cupani, Patty Kostkova

J Med Internet Res 2025;27:e57237