PubMed · 10289837
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J Cassidy. Quality: issues for the 1990s.. https://pubmed.ncbi.nlm.nih.gov/10289837/
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PURPOSE: The relationship between hospital size and quality improvement (QI) for pharmaceutical services was studied. METHODS: A questionnaire on QI was sent to hospital pharmacy directors in Michigan and Florida in 2002. The questionnaire included items on QI lead-team composition, QI tools, QI training, and QI culture. RESULTS: Usable responses were received from 162 (57%) of 282 pharmacy directors. Pharmacy QI lead teams were present in 57% of institutions, with larger teams in large hospitals (> or = 300 patients). Only two QI tools were used by a majority of hospitals: root-cause analysis (62%) and flow charts (66%). Small hospitals (< 50 patients) were less likely than medium-sized hospitals (50-299 patients) and large hospitals to use several QI tools, including control charts, cause-and-effect diagrams, root-cause analysis, flow charts, and histograms. Large hospitals were more likely than small and medium-sized hospitals to use root-cause analysis and control charts. There was no relationship between hospital size and the frequency with which physician or patient satisfaction with pharmaceutical services was measured. There were no differences in QI training or QI culture across hospital size categories. CONCLUSION: A survey suggested that a majority of hospital pharmacies in Michigan and Florida have begun to adopt QI techniques but that most are not using rigorous QI tools. Pharmacies in large hospitals had more QI lead-team members and were more likely to use certain QI tools, but there was no relationship between hospital size and satisfaction measurements, QI training, or QI culture.
Relaxation times (T1, T2, T1rho) are usually evaluated from exponential decay data by least-squares fitting methods. For this procedure, the integrals or amplitudes of signals must be determined, which can be laborious with large data sets. Moreover, the fitting requires a priori knowledge of the number of exponential components responsible for the decay. We have adapted inverse Laplace transformation (ILT) for the analysis of relaxation data. Exponential components are resolved with ILT to reciprocal space on their corresponding relaxation rate values. The ILT approach was applied to 3D linewidth-resolved 15N HSQC experiments to evaluate 15N T1 and T2 relaxation times of ubiquitin. The resulting spectrum is a true 3D spectrum, where the signals are separated by their 1H and 15N chemical shifts (HSQC correlations) and by their relaxation rate values (R1 or R2). From this spectrum, the relaxation times can be obtained directly with a simple peak-picking procedure.
The aim of the study was to investigate the reference and quotation accuracy in four peer-reviewed manual therapy journals. A stratified random sample of original research (n=7) was collected from each of the journals spanning the years January 2000 to December 2001. A further random selection of 80 references from each journal paper sampled was then reviewed (Total N=320) for citation and quotation accuracy. Numbers of citations with errors were determined, then classified as either major or minor and categorized by bibliographic headings (author, title, journal, year, volume, page and irretrievable). Each quotation was individually assessed for accuracy and judged to be either correct or incorrect. A quotation was deemed correct if it accurately substantiated and reported the original authors assertions. One hundred and fifteen citations across all journals contained errors (35.9%). Some citations exhibited multiple major and minor errors. Bibliographically classified errors for all journals showed 61 author, 51 title, 6 journal, 4 year, 12 volume and 25 page errors. JMPT showed the lowest referencing error rate (20%) while JBWMT recorded the highest (58.8%). The total number of quotation errors across all journals was 69 (12.3%). JMPT showed the lowest quotation error rate of 6 (4.7%), MT had 12 errors (7.3%), JOM produced 21 errors (13.3%), while JBWMT recorded the highest error rate with 32 (27.6%). Poor citation and quotation is a reflection on the scholarly work of the authors and the journal. The trend for errors in quotation is more worrying than citation errors as it reflects poor diligence on the part of the investigators.