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Supporting Individuals With Cognitive Impairment and Family Members in Rural Communities: Protocol for a Mixed Methods Digital Health Study

Supporting Individuals With Cognitive Impairment and Family Members in Rural Communities: Protocol for a Mixed Methods Digital Health Study

Power analysis was conducted using G*Power (Franz Faul, Edgar Erdfelder, Albert-Georg Lang, and Axel Buchner [95]), power=0.80, target (n=30), and α=.05. We have 80% power to detect small-to-medium effects of daily predictors for cognitive health outcomes (Cohen f=0.15). Our team intends to expand NAZMS data collection capacity in subsequent years as we learn from this initial target sample.

Eric S Cerino, Megan C McCoy, Margarita Martinez, Thomasina J Seaton, Rasheera Dopson, Travis J Anderson, Gillian Porter, Faith R Shannon, Raechel A Livingston, Amanda D Black, Jacqueline Mogle, Louis Lucero, Michael J McCarthy

JMIR Res Protoc 2025;14:e77958


Exploring Patient and Caregiver Perceptions of the Facilitators and Barriers to Patient Engagement in Research: Participatory Qualitative Study

Exploring Patient and Caregiver Perceptions of the Facilitators and Barriers to Patient Engagement in Research: Participatory Qualitative Study

Participants (N=13) were patient and caregiver partners with previous experience engaging in research funded by the Canadian Institutes of Health Research through the Strategy for Patient Oriented-Research [1] who completed a cross-sectional survey assessing the activities and impacts of patient engagement [12]. These individuals subsequently agreed to participate in a qualitative interview about their engagement experiences [13]. Details of participant recruitment are described elsewhere [13].

Sasha Melanda Kullman, Louise Bird, Amy Clark, Amanda Doherty-Kirby, Diana Ermel, Nathalie Kinnard, Marion Knutson, Andrew Milroy, Lesley Singer, Anna Maria Chudyk

J Particip Med 2025;17:e79538


The Validation and Accuracy of Wearable Heart Rate Trackers in Children With Heart Disease: Prospective Cohort Study

The Validation and Accuracy of Wearable Heart Rate Trackers in Children With Heart Disease: Prospective Cohort Study

For the Cardio Watch, data of 6 participants were excluded from analysis due to either early loss of battery power (n=1), an accidental reset of the Cardio Watch during the measurement (n=1), or an accidental termination of the smartphone app (n=4), which all resulted in the loss of data. The data of the remaining 31 participants were included for analysis. For the Hexoskin shirt, the data of 1 participant was excluded because the shirt was taken off after 2 hours of measuring.

Hidde J Hardon, Yara N Van Kerkhof, Beatrijs Bartelds, Janneke A E Kammeraad, Arend W Van Deutekom

JMIR Form Res 2025;9:e70835


Aiding Chronic Obstructive Pulmonary Disease and Congestive Heart Failure Ultrasound-Guided Management Through Enhanced Point-of-Care Ultrasound (ACCUMEN-POCUS): Protocol for a Randomized Controlled Trial

Aiding Chronic Obstructive Pulmonary Disease and Congestive Heart Failure Ultrasound-Guided Management Through Enhanced Point-of-Care Ultrasound (ACCUMEN-POCUS): Protocol for a Randomized Controlled Trial

of white blood cell count For intervention-group participants, the normalization of pathological B-lines due to consolidative pneumonia Change in hemoglobin and white blood cell count during the enrollment period Disease-related metrics for acute decompensated heart failure are as follows: Time to decongestion (absence of crackles on lung auscultation and return to baseline oxygen saturation levels) For the intervention group, the absence of pathological B-lines or pleural effusions on ultrasound Change in N-terminal

Michelle Nora Grinman, Peter Nakhla, Steve Reid, Dennis Moon, Negar Dehghan Noudeh, Oladoyin Olaosebikan, Amanda Chung Yan Ip, Salomé Saunders, Ryan Kozicky, John Conly, Andrew Wallace Kirkpatrick, Jeff Round, Irene Wai Yan Ma, Suean Pascoe, Ghazwan Altabbaa

JMIR Res Protoc 2025;14:e76186


Optimizing Self-Monitoring in a Digital Weight Loss Intervention (Spark): Protocol for a Factorial Randomized Trial

Optimizing Self-Monitoring in a Digital Weight Loss Intervention (Spark): Protocol for a Factorial Randomized Trial

Retention is operationalized as the percentage of participants who report weight at 6 months out of total participants in the Spark trial (N=176). We will also examine the orientation session’s impact on the secondary outcomes listed in Textbox 2. 1- and 3-month retention in the Spark trial. Weight change from baseline to 6 months. Proportion of participants achieving ≥5% weight loss at 6 months from baseline. Engagement in self-monitoring over the 6-month intervention.

Michele L Patel, Abby C King, Lisa G Rosas, Gary G Bennett, Linda M Collins, John A Gallis, Amanda B Zeitlin, Priya S Talreja, Phoebe C Crosthwaite, Kayla A Collins, Annalisa W Lim, Trudy S Kim

JMIR Res Protoc 2025;14:e75629