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Staff at a five-star Leeds hair salon are "chuffed beyond measure" after it was named Business Salon of the Year.
Architect Hair, which has been described as a "beautiful salon", has been open for over a decade and specialises in hair colouring by a "highly skilled and educated team". The business has won Best Colour Salon 2022, Best Colour Salon 2021, and Apprentice of the Year 2021. Now it has a fourth award to add to the showcase.Speaking about what winning Business Salon of the Year means, Louise said: "It was a real honour.
Louise said: "A lot of our team have been with the salon for a long long time, and are very talented. They could go to any salon but here we have the foundation for the business. I am massively proud to win this for the team.
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Staffing levels and hospital mortality in England: a national panel study using routinely collected dataObjectives Examine the association between multiple clinical staff levels and case-mix adjusted patient mortality in English hospitals. Most studies investigating the association between hospital staffing levels and mortality have focused on single professional groups, in particular nursing. However, single staff group studies might overestimate effects or neglect important contributions to patient safety from other staff groups. Design Retrospective observational study of routinely available data. Setting and participants 138 National Health Service hospital trusts that provided general acute adult services in England between 2015 and 2019. Outcome measure Standardised mortality rates were derived from the Summary Hospital level Mortality Indicator data set, with observed deaths as outcome in our models and expected deaths as offset. Staffing levels were calculated as the ratio of occupied beds per staff group. We developed negative binomial random-effects models with trust as random effects. Results Hospitals with lower levels of medical and allied healthcare professional (AHP) staff (e.g, occupational therapy, physiotherapy, radiography, speech and language therapy) had significantly higher mortality rates (rate ratio: 1.04, 95% CI 1.02 to 1.06, and 1.04, 95% CI 1.02 to 1.06, respectively), while those with lower support staff had lower mortality rates (0.85, 95% CI 0.79 to 0.91 for nurse support, and 1.00, 95% CI 0.99 to 1.00 for AHP support). Estimates of the association between staffing levels and mortality were stronger between-hospitals than within-hospitals, which were not statistically significant in a within–between random effects model. Conclusions In additional to medicine and nursing, AHP staffing levels may influence hospital mortality rates. Considering multiple staff groups simultaneously when examining the association between hospital mortality and clinical staffing levels is crucial. Trial registration number [NCT04374812][1]. The data set is avai
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