Publications by authors named "A W Darzi"

Objective: The present study aimed to examine the efficacy of Mindfulness-Based Cancer Recovery (MBCR) training on fatigue and sleep quality of Iranian female patients with cancer.

Method: Thirty female patients with cancer were randomized to one of the MBCR and control groups. Subjects of the MBCR group received 8 sessions of MBCR training, while subjects of the control group received a 1-day didactic stress management seminar (SMS).

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To develop reliable, valid, and efficient measures of obsessive-compulsive disorder (OCD) severity, comorbid depression severity, and total electrical energy delivered (TEED) by deep brain stimulation (DBS), we trained and compared random forests regression models in a clinical trial of participants receiving DBS for refractory OCD. Six participants were recorded during open-ended interviews at pre- and post-surgery baselines and then at 3-month intervals following DBS activation. Ground-truth severity was assessed by clinical interview and self-report.

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Background: The proliferation of electronic health records (EHR) in health systems of many high-income countries has ushered in profound changes to how clinical information is used, stored, and disseminated. For patients, being able to easily access and share their health information electronically through interoperable EHRs can often impact safety and their experience when seeking care across healthcare providers. While extensive research exists examining how EHRs affected workflow and technical challenges such as limited interoperability, much of it was done from the viewpoint of healthcare staff rather than from patients themselves.

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Article Synopsis
  • Medication errors are a significant issue in healthcare, leading to the development of an indication-based prescribing tool aimed at improving accuracy and efficiency in medication orders.
  • The study involved 24 participants performing simulated prescribing tasks with and without this new tool, revealing that the intervention resulted in fewer errors, shorter time to prescribe, and reduced perceived workload.
  • The research identified specific workflow vulnerabilities in traditional prescribing methods, alongside participant feedback that highlighted themes for improvement such as integration of guidelines and user endorsement of the new tool.
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