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Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Erbe D et al [28] compared the interformat reliability of the paper-and-pen version with a computerized version of the PHQ-9 in a clinical sample and obtained comparable internal consistency between the computer (α=.88) and paper versions (α=.89), and highly significant correlations between the formats (r=0.92). The PANSS is a widely used and valid instrument for the assessment of symptom severity in schizophrenia; test-retest reliability for the total score and subscales is reported as 0.77‐0.89 [27,27].

Ameya P Bondre, Aashish Ranjan, Ritu Shrivastava, Deepak Tugnawat, Nirmal Kumar Chaturvedi, Anant Bhan, Snehil Gupta, Abhijit R Rozatkar, Srilakshmi Nagendra, Siddharth Dutt, Soumya Choudhary, Preethi V Reddy, Urvakhsh Meherwan Mehta, John A Naslund, John Torous

JMIR Form Res 2025;9:e67745

Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study

Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study

All phenotyping and data analysis were conducted using R software (R Foundation for Statistical Computing). Fitbit data in the Ao URP operates under a bring-your-own-device model, where participants who consent to participate in the study share data from their device that they already own [22]. Ao URP is a longitudinal, observational study [21].

Eric Hurwitz, Samantha Meltzer-Brody, Zachary Butzin-Dozier, Rena C Patel, Noémie Elhadad, Melissa A Haendel

JMIR Form Res 2025;9:e67585

Evaluation of the Aspects of Digital Interventions That Successfully Support Weight Loss: Systematic Review With Component Network Meta-Analysis

Evaluation of the Aspects of Digital Interventions That Successfully Support Weight Loss: Systematic Review With Component Network Meta-Analysis

We considered effectiveness on weight loss outcomes using random effects component NMA in a frequentist paradigm, which was implemented using the package netmeta in R [24]. We used the component codes (R codes can be found in Multimedia Appendix 2) developed through ICA in an additive model and estimated meta-analyses based on the quality and sufficiency of evidence, focusing on 6-month and 12-month outcomes.

Michael Nunns, Samantha Febrey, Rebecca Abbott, Jill Buckland, Rebecca Whear, Liz Shaw, Alison Bethel, Kate Boddy, Jo Thompson Coon, G.J. Melendez-Torres

J Med Internet Res 2025;27:e65443