Publications by authors named "P R Jayakumar"

Background: Measures that quantify clinician fulfillment and engagement with work (clinician experience measures) have the potential to improve the quality, effectiveness, and enjoyment of patient care. Many existing measures of clinician fulfillment and engagement with work are relatively long and potentially burdensome, negatively framed, or address personal well-being. A measure with a small number of items that address positive attributes to which a team aspires may be a more useful measure to guide organizational improvement efforts.

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Background: Variation in levels of pain intensity and incapability among patients with musculoskeletal conditions is associated with measures of mindset (unhelpful thoughts [such as hurt equals harm] and feelings of distress [overwhelm, rumination] regarding bodily sensations) and circumstances (social health as well as security in finances, roles, home, and support) as much or more so than pathophysiology severity. Loneliness is an important aspect of social health, it is associated with worse mental health, and it has been identified as worthy of attention and intervention by health authorities in several countries. It is estimated that up to one-third of adults older than 45 years of age experience loneliness.

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Objective: Hypertension affects approximately 1.28 billion adults worldwide, driving the search for integrative therapeutic approaches alongside conventional treatments. While chromotherapy, particularly blue light exposure, has historical roots in traditional medicine and its specific impact on blood pressure regulation remains understudied So, the present study aims to investigate the immediate impact of exposure to blue glass through sunlight on blood pressure in hypertensive individuals.

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Article Synopsis
  • - This study aimed to create a convolutional neural network (CNN) to detect and classify fractures, focusing on specific characteristics like greater tuberosity displacement and neck-shaft angle, using plain X-rays.
  • - The CNN was trained with over 1,700 X-rays from Australia and validated with data from the Netherlands, comparing results with CT scans evaluated by experts.
  • - The CNN demonstrated a high detection accuracy of 94% for fractures, but less effectiveness in identifying specific fracture characteristics, particularly showing lower performance for greater tuberosity displacement and neck-shaft angles.
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Background: Patient-reported experience measures (PREMs), such as the Jefferson Scale of Patient Perceptions of Physician Empathy (JSPPPE) or the Wake Forest Trust in Physician Scale (WTPS), have notable intercorrelation and ceiling effects (the proportion of observations with the highest possible score). Information is lost when high ceiling effects occur as there almost certainly is at least some variation among the patients with the highest score that the measurement tool was unable to measure. Efforts to identify and quantify factors associated with diminished patient experience can benefit from a PREM with more variability and a smaller proportion of highest possible scores (that is, a more limited ceiling effect) than occurs with currently available PREMs.

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