Publications by authors named "H Dubois"

Introduction: Despite the increasing use of distributed healthcare teams, performance evaluation is largely lacking. This study examined rural emergency health care in Sweden to determine the effect of teams being either co-located or distributed with remote physicians accessible via telemedicine.

Method: In this crossover study, 17 three-person teams were video recorded during co-located and distributed simulated scenarios.

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Background: Delivering emergency care in rural areas can be challenging, but video consultation (VC) offers opportunities to make healthcare more accessible. The communication and relationship between professionals and patients have a significant impact on the patient's experience of safety and inclusion. Understanding the patient perspective is crucial to developing good quality healthcare, but little is known about patient experiences of emergency care via VC in a rural context.

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Background: In northern rural Sweden, telemedicine is used to improve access to healthcare and to provide patient-centered care. In emergency care during on-call hours, video-conference systems are used to connect the physicians to the rest of the team - creating 'distributed teams'. Patient participation is a core competency for healthcare professionals.

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Study Objectives: We sought to develop behavioral sleep measures from passively sensed human-smartphone interactions and retrospectively evaluate their associations with sleep disturbance, anxiety, and depressive symptoms in a large cohort of real-world patients receiving virtual behavioral medicine care.

Methods: Behavioral sleep measures from smartphone data were developed: daily longest period of smartphone inactivity (inferred sleep period [ISP]); 30-day expected period of inactivity (expected sleep period [ESP]); regularity of the daily ISP compared to the ESP (overlap percentage); and smartphone usage during inferred sleep (disruptions, wakefulness during sleep period). These measures were compared to symptoms of sleep disturbance, anxiety, and depression using linear mixed-effects modeling.

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Background: One in five adults in the US experience mental illness and over half of these adults do not receive treatment. In addition to the access gap, few innovations have been reported for ensuring the right level of mental healthcare service is available at the right time for individual patients.

Methods: Historical observational clinical data was leveraged from a virtual healthcare system.

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