153 research outputs found

    A case-controlled study of relatives’ complaints concerning patients who died in hospital: the role of treatment escalation / limitation planning

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    Objectives To independently assess quality of care among patients who died in hospital and whose next-of-kin submitted a letter of complaint and make comparisons with matched controls. To identify whether use of a treatment escalation limitation plan (TELP) during the terminal illness was a relevant background factor. Design The study was an investigator-blinded retrospective case-note review of 42 complaints cases and 72 controls matched for age, sex, ward location and time of death. Setting The acute medical and surgical wards of three District General Hospitals administered by NHS Lanarkshire, Scotland. Participants None. Intervention None. Outcome measures Quality of care: Clinical ‘problems’, non-beneficial interventions (NBIs) and harms were evaluated using the Structured Judgment Review Method. Complaints were categorized using the Healthcare Complaints Analysis Tool. Results The event frequencies and rate ratios for clinical ‘problems’, NBIs and harms were consistently higher in complaint cases compared to controls. The difference was only significant for NBIs (P = 0.05). TELPs were used less frequently in complaint cases compared to controls (23.8 versus 47.2%, P = 0.013). The relationship between TELP use and the three key clinical outcomes was nonsignificant. Conclusions Care delivered to patients at end-of-life whose next-of-kin submitted a complaint was poorer overall than among control patients when assessed independently by blinded reviewers. Regular use of a TELP in acute clinical settings has the potential to influence complaints relating to end-of-life care, but this requires further prospective study

    The History of Flow Chemistry at Eli Lilly and Company

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    Flow chemistry was initially used for speed to early phase material delivery in the development laboratories, scaling up chemical transformations that we would not or could not scale up batch for safety reasons. Some early examples included a Newman Kwart Rearrangement, Claisen rearrangement, hydroformylation, and thermal imidazole cyclization. Next, flow chemistry was used to enable safe scale up of hazardous chemistries to manufacturing plants. Examples included high pressure hydrogenation, aerobic oxidation, and Grignard formation reactions. More recently, flow chemistry was used in Small Volume Continuous (SVC) processes, where highly potent oncolytic molecules were produced by fully continuous processes at about 10 kg/day including reaction, extraction, distillation, and crystallization, using disposable equipment contained in fume hoods

    Molecular genetic contributions to socioeconomic status and intelligence

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    Education, socioeconomic status, and intelligence are commonly used as predictors of health outcomes, social environment, and mortality. Education and socioeconomic status are typically viewed as environmental variables although both correlate with intelligence, which has a substantial genetic basis. Using data from 6815 unrelated subjects from the Generation Scotland study, we examined the genetic contributions to these variables and their genetic correlations. Subjects underwent genome-wide testing for common single nucleotide polymorphisms (SNPs). DNA-derived heritability estimates and genetic correlations were calculated using the ‘Genome-wide Complex Trait Analyses’ (GCTA) procedures. 21% of the variation in education, 18% of the variation in socioeconomic status, and 29% of the variation in general cognitive ability was explained by variation in common SNPs (SEs ~ 5%). The SNP-based genetic correlations of education and socioeconomic status with general intelligence were 0.95 (SE 0.13) and 0.26 (0.16), respectively. There are genetic contributions to intelligence and education with near-complete overlap between common additive SNP effects on these traits (genetic correlation ~ 1). Genetic influences on socioeconomic status are also associated with the genetic foundations of intelligence. The results are also compatible with substantial environmental contributions to socioeconomic status
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