LVMH head of environment Hélène Valade: 'All our products come from nature—no champagne without grapes, no perfumes without forests, no ready-to-wear without cotton. It was very important to have an ambitious environmental strategy in mind'
targets for the company. The goals are extensive: no virgin plastics used in packaging by 2026, a 50% cut in energy-related emissions by 2026 from 2019 levels, and zero deforestation from products in its supply chain by 2025. The company’slists a range of achievements along those lines, from successful implementation of policies that uncover where they’re sourcing materials to measures that have slashed energy use in stores.
One challenge for diversified firms like LVMH is implementing ambitious company-wide goals across widely varied divisions and departments. LVMH has 75 brands, each of which has a lot of operational independence. Valade said the company is laying out a “common set of goals” around everything from biodiversity to energy consumption with LIFE360 and then giving the brands the tools to implement.
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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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