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Telehealth Initiative to Enhance Primary Care Access in Brazil (UBS+Digital Project): Multicenter Prospective Study

Telehealth Initiative to Enhance Primary Care Access in Brazil (UBS+Digital Project): Multicenter Prospective Study

Additionally, the availability of physicians in remote regions remains a challenge, often linked to the HDI by Municipality (HDI-M). The HDI-M measures longevity, education, and income, with values ranging from 0 to 1, where values closer to 1 indicate better development. In this project, the HDI-M of the assessed PHUs ranged from 0.565 to 0.778, indicating a need for increased medical resource allocation [23].

Celina de Almeida Lamas, Patrícia Gabriela Santana Alves, Luciano Nader de Araújo, Ana Beatriz de Souza Paes, Ana Claudia Cielo, Luciana Maciel de Almeida Lopes, André Longo Araújo de Melo, Thais Yokoyama, Clarice Pagani Savastano, Paula Gobi Scudeller, Carlos Carvalho, Digital Primary Health Unit HCFMUSP Study Group

J Med Internet Res 2025;27:e68434

Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study

Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study

The probability of transitioning into each hidden state at time t is dependent on the previous hidden state, and is given by: Where the elements of A are each of the transition probabilities such that Amn ≡ p(ztn = 1|zt-1,m = 1, ct) denotes the probability of transitioning from state m to state n at time t and we make it explicit that this can depend on a vector of time-varying covariates ct. In addition, other measures can be calculated from the hidden state sequence itself.

Imogen E Leaning, Andrea Costanzo, Raj Jagesar, Lianne M Reus, Pieter Jelle Visser, Martien J H Kas, Christian F Beckmann, Henricus G Ruhé, Andre F Marquand

J Med Internet Res 2025;27:e64007

Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study

Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study

Longitudinal plot of a representative 3-week interval of minute-level metabolic equivalent of task (MET) data (left) from (A) 1 female individual (F, blue) and (B) 1 male individual (M, red), with the histogram of the MET values for each separated by awake (light) and asleep (dark) values (right). MET values were examined at minute-level resolution.

Kristin J Varner, Lauryn Keeler Bruce, Severine Soltani, Wendy Hartogensis, Stephan Dilchert, Frederick M Hecht, Anoushka Chowdhary, Leena Pandya, Subhasis Dasgupta, Ilkay Altintas, Amarnath Gupta, Ashley E Mason, Benjamin L Smarr

J Med Internet Res 2025;27:e66231