Publications by authors named "M Zasada"
Background: Support for NHS staff was vital during the COVID-19 pandemic and Team Time was developed as an adaptation of Schwartz Rounds™ - a well-evidenced, facilitated group intervention. Building on the existing evidence base for Schwartz Rounds implementation, this study aims to understand the key factors associated with Team Time implementation and sustainability in this context.
Methods: Twenty semi-structured interviews were conducted within 10 NHS acute, community and mental health organisations that ran Team Time during the pandemic: six with no prior experience of Schwartz Rounds and four that ran Schwartz Rounds prior to the pandemic.
Introduction: This study aimed to assess the association between the urinary lactate-to-creatinine ratio (ULCR) and brain spectroscopy (1H-MRS) findings in very low gestational age (VLGA) infants with and without preterm brain injury.
Methods: Urine samples were collected from 54 VLGA infants during the first week of life, after 1 month of life, and at term-equivalent age (TEA). Urinary lactate was measured via highly selective liquid chromatography-tandem mass spectrometry (LC-MS/MS) with a quantitative organic acid analysis kit and expressed as the ULCR.
Objective: Magnetic resonance spectroscopy (H-MRS) may provide clinically relevant data regarding metabolic processes that govern the course of preterm brain injury.
Study Design: 46 very preterm infants (VP) were evaluated by magnetic resonance imaging and H-MRS at term-equivalent age. Brain injury was assessed according to the Kidokoro scale.
Article Synopsis
- Advanced Practice Physiotherapists (APPs) increasingly use MRI to diagnose lumbosacral radiculopathy (LSR) and rule out other spinal issues, but there's limited data on how their assessments correlate with MRI findings.
- The study analyzed the diagnostic and treatment plan differences pre- and post-MRI for 482 patients, revealing significant correlations between APP diagnoses and MRI results.
- Findings indicate a weak but statistically significant correlation between pre- and post-MRI treatment plans, suggesting APP diagnoses align somewhat with MRI outcomes, though the impact on treatment may vary.