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Prerequisites for Cost-Effective Home Blood Pressure Telemonitoring: Early Health Economic Analysis

Prerequisites for Cost-Effective Home Blood Pressure Telemonitoring: Early Health Economic Analysis

The model was developed in R statistical software version 4.4.1 [17]. Markov model including 12 different health states. *Risk of all-cause death and cardiovascular disease–related death were blood pressure independent. The model included a hypothetical population of 1000 patients with an average age of 65.3 years and consisted of 12 health states: Standard of care (SOC) was based on the current practice of hypertension management in the Netherlands.

Job van Steenkiste, Pim van Dorst, Daan Dohmen, Cornelis Boersma

JMIR Cardio 2025;9:e64386

Real-World Effectiveness of Glucose-Guided Eating Using the Data-Driven Fasting App Among Adults Interested in Weight and Glucose Management: Observational Study

Real-World Effectiveness of Glucose-Guided Eating Using the Data-Driven Fasting App Among Adults Interested in Weight and Glucose Management: Observational Study

Analyses were done with R (v4.2.2, R Foundation for Statistical Computing). This study was approved by the University of Otago Human Ethics Committee (reference: HD22/064). Participants were users of a commercially available app who consented to their anonymized data being used for research purposes through the app’s privacy policy. All data were deidentified before analysis. No compensation was provided for participation.

Michelle R Jospe, Martin Kendall, Susan M Schembre, Melyssa Roy

JMIR Form Res 2025;9:e65368

Investigating Social Network Peer Effects on HIV Care Engagement Using a Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis of the N2 Cohort Study

Investigating Social Network Peer Effects on HIV Care Engagement Using a Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis of the N2 Cohort Study

We used R (version 12.1.402; R Foundation for Statistical Computing [34]) and Microsoft Excel (Microsoft Corp) for data analysis and matching. The boundaries of the final complete sociocentric-like fuzzy network were only those participants enrolled in the N2 cohort study and did not include those individuals that participants may have named as being in their social networks.

Cho-Hee Shrader, Dustin T Duncan, Redd Driver, Juan G Arroyo-Flores, Makella S Coudray, Raymond Moody, Yen-Tyng Chen, Britt Skaathun, Lindsay Young, Natascha del Vecchio, Kayo Fujimoto, Justin R Knox, Mariano Kanamori, John A Schneider

JMIR Public Health Surveill 2025;11:e64497