Project description:ObjectiveTo examine whether the "fit" of a surgeon with hospital resources impacts cardiac surgery outcomes, separately from hospital or surgeon effects.Data sourcesRetrospective secondary data from the Massachusetts Department of Public Health's Data Analysis Center, on all 12,983 adult isolated coronary artery bypass surgical admissions in state-regulated hospitals from 2002 through 2004. Clinically audited chart data was collected using Society of Thoracic Surgeons National Cardiac Surgery Database tools and cross-referenced with administrative discharge data in the Division of Health Care Finance and Policy. Mortality was followed up through 2007 via the state vital statistics registry.Study designAnalysis was at the patient level for those receiving isolated coronary artery bypass surgery (CABG). Sixteen outcomes included 30-day mortality, major morbidity, indicators of perioperative, and predischarge processes of care. Hierarchical crossed mixed models were used to estimate fixed covariate and random effects at hospital, surgeon, and hospital × surgeon level.Principal findingsHospital volume was associated with significantly reduced intraoperative durations and significantly increased probability of aspirin, ?-blocker, and lipid-lowering discharge medication use. The proportion of outcome variability due to unobserved hospital × surgeon interaction effects was small but meaningful for intraoperative practices, discharge destination, and medication use. For readmissions and mortality within 30 days or 1 year, unobserved patient and hospital factors drove almost all variability in outcomes.ConclusionsAmong Massachusetts patients receiving isolated CABG, consistent evidence was found that the hospital × surgeon combination independently impacted patient outcomes, beyond hospital or surgeon effects. Such distinct local interactions between a surgeon and hospital resources may play an important part in moderating quality improvement efforts, although residual patient-level factors generally contributed the most to outcome variability.
Project description:Triple-reassortant (tr) viruses of human, avian, and swine origin, including H1N1, H1N2, and H3N2 subtypes, emerged in North American swine herds in 1998 and have become predominant. While sporadic human infections with classical influenza A (H1N1) and with tr-swine influenza viruses have been reported, relatively few have been documented in occupationally exposed swine workers (SW).We conducted a 2-year (2002-2004) prospective cohort study of transmission of influenza viruses between pigs and SW from a single pork production company in Iowa. Respiratory samples were collected and tested for influenza viruses from SW and from pigs under their care through surveillance for influenza-like illnesses (ILI). Serial blood samples from study participants were tested by hemagglutination inhibition (HI) for antibody seroconversion against human and swine influenza viruses (SIV), and antibody seroprevalence was compared to age-matched urban Iowa blood donors.During the first year, 15 of 88 SW had ILI and were sampled; all were culture-negative for influenza. During the second year, 11 of 76 SW had ILI and were sampled; one was culture-positive for a human seasonal H3N2 virus. Among 20 swine herd ILI outbreaks sampled, influenza A virus was detected by rRT-PCR from 17 with 11 trH1N1 and five trH3N2 virus isolates cultured. During both years, HI geometric mean titers were significantly higher among SW compared to blood donor controls for three SIV: classical swine Sw/WI/238/97 (H1N1), tr Sw/IN/9K035/99 (H1N2), and trSw/IA/H02NJ56371/02 (H1N1)] (P < 0·0001).SW had serologic evidence for infection with both swine and human influenza viruses and were exposed to diverse influenza virus strains circulating in pigs. Influenza virus surveillance among pigs and SW should be encouraged to better understand cross-species transmission and diversity of influenza viruses at the human-swine interface.
Project description:Vancouver Island, Canada, reports the world's highest incidence of Cryptococcus gattii infection among humans and animals. To identify key biophysical factors modulating environmental concentrations, we evaluated monthly concentrations of C. gatti in air, soil, and trees over a 3-year period. The 2 study datasets were repeatedly measured plots and newly sampled plots. We used hierarchical generalized linear and mixed effect models to determine associations. Climate systematically influenced C. gattii concentrations in all environmental media tested; in soil and on trees, concentrations decreased when temperatures were warmer. Wind may be a key process that transferred C. gattii from soil into air and onto trees. C. gattii results for tree and air samples were more likely to be positive during periods of higher solar radiation. These results improve the understanding of the places and periods with the greatest C. gattii colonization. Refined risk projections may help susceptible persons avoid activities that disturb the topsoil during relatively cool summer days.
Project description:Delays often occur between CLSI and FDA revisions of antimicrobial interpretive criteria. Using our Regional Healthcare Ecosystem Analyst (RHEA) simulation model, we found that the 32-month delay in changing carbapenem-resistant Enterobacteriaceae (CRE) breakpoints might have resulted in 1,821 additional carriers in Orange County, CA, an outcome that could have been avoided by identifying CRE and initiating contact precautions. Policy makers should aim to minimize the delay in the adoption of new breakpoints for antimicrobials against emerging pathogens when containment of spread is paramount; delays of <1.5 years are ideal.
Project description:BackgroundtransFatty acids (TFAs) increase cardiovascular disease risk. TFAs and polyunsaturated fatty acids (PUFAs) in the food supply may be declining with reciprocal increases in cis-monounsaturated fatty acids (MUFAs) and saturated fatty acids (SFAs).ObjectivesWe sought to determine whether plasma 18-carbon TFA and PUFA concentrations might decrease over time and whether there might be reciprocal increases in plasma cis-MUFAs and SFAs.DesignWe studied 305 persons (171 women) taking part in Look AHEAD (Action for Health in Diabetes), a randomized trial of lifestyle intervention for weight loss to reduce major cardiovascular events in overweight and obese adults (aged 45-76 y) with type 2 diabetes who also participated in an ancillary study of oxidative stress. This study was a cross-sectional analysis of TFAs, cis-MUFAs, SFAs, and PUFAs measured in plasma before intervention (September 2002-April 2004).ResultsIn a model that included demographic characteristics, plasma total fatty acid concentration, BMI, serum insulin, statin use, season, and longitudinal time trend (R(2) = 0.167, P < 0.0001), plasma TFAs decreased by 13.5%/y (95% CI: -22.7, -3.2%/y; absolute decrease 7.0 mg · L(-1) · y(-1); 95% CI: -12.5, -1.6 mg · L(-1) · y(-1); P = 0.012). This longitudinal trend was not significantly altered by further adjustment for dietary variables and physical activity. In contrast, longitudinal trends for PUFAs, cis-MUFAs, and SFAs were weak and not significant.ConclusionsThis change in plasma concentrations of TFAs is consistent with changes in fatty acid composition that food manufacturers are likely to have made to avoid declaring TFAs on food labels. Further research will be needed to determine the overall effect of these changes on cardiovascular risk. The Look AHEAD trial is registered at clinicaltrials.govas NCT00017953.
Project description:Model evaluation is an important issue in population analyses. We aimed to perform a systematic review of all population pharmacokinetic and/or pharmacodynamic analyses published between 2002 and 2004 to survey the current methods used to evaluate models and to assess whether those models were adequately evaluated. We selected 324 articles in MEDLINE using defined key words and built a data abstraction form composed of a checklist of items to extract the relevant information from these articles with respect to model evaluation. In the data abstraction form, evaluation methods were divided into three subsections: basic internal methods (goodness-of-fit [GOF] plots, uncertainty in parameter estimates and model sensitivity), advanced internal methods (data splitting, resampling techniques and Monte Carlo simulations) and external model evaluation. Basic internal evaluation was the most frequently described method in the reports: 65% of the models involved GOF evaluation. Standard errors or confidence intervals were reported for 50% of fixed effects but only for 22% of random effects. Advanced internal methods were used in approximately 25% of models: data splitting was more often used than bootstrap and cross-validation; simulations were used in 6% of models to evaluate models by a visual predictive check or by a posterior predictive check. External evaluation was performed in only 7% of models. Using the subjective synthesis of model evaluation for each article, we judged the models to be adequately evaluated in 28% of pharmacokinetic models and 26% of pharmacodynamic models. Basic internal evaluation was preferred to more advanced methods, probably because the former is performed easily with most software. We also noticed that when the aim of modelling was predictive, advanced internal methods or more stringent methods were more often used.
Project description:ObjectiveThe authors developed a rubric for assessing undergraduate nursing research papers for information literacy skills critical to their development as researchers and health professionals.MethodsWe developed a rubric mapping six American Nurses Association professional standards onto six related concepts of the Association of College & Research Libraries (ACRL) Framework for Information Literacy for Higher Education. We used this rubric to evaluate fifty student research papers and assess inter-rater reliability.ResultsStudents tended to score highest on the "Information Has Value" dimension and lowest on the "Scholarship as Conversation" dimension. However, we found a discrepancy between the grading patterns of the two investigators, with inter-rater reliability being "fair" or "poor" for all six rubric dimensions.ConclusionsThe development of a rubric that dually assesses information literacy skills and maps relevant disciplinary competencies holds potential. This study offers a template for a rubric inspired by the ACRL Framework and outside professional standards. However, the overall low inter-rater reliability demands further calibration of the rubric. Following additional norming, this rubric can be used to help students identify the key information literacy competencies that they need in order to succeed as college students and future nurses. These skills include developing an authoritative voice, determining the scope of their information needs, and understanding the ramifications of their information choices.
Project description:ObjectiveTo evaluate the evidence upon which standards for hospital accreditation by The Joint Commission on Accreditation of Healthcare Organizations (the Joint Commission) are based.DesignCross sectional study.SettingUnited States.ParticipantsFour Joint Commission R3 (requirement, rationale, and reference) reports released by July 2018 and intended to become effective between 1 July 2018 and 1 July 2019.InterventionsFrom each R3 report the associated standard and its specific elements of performance (or actionable standards) were extracted. If an actionable standard enumerated multiple requirements, these were separated into distinct components. Two investigators reviewed full text references, and each actionable standard was classified as either completely supported, partly supported, or not supported; Oxford evidence quality ratings were assigned; and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) was used to assess the strength of recommendations.Main outcome measureStrengths of recommendation for actionable standards.Results20 actionable standards with 76 distinct components were accompanied by 48 references. Of the 20 actionable standards, six (30%) were completely supported by cited references, six were partly supported (30%), and eight (40%) were not supported. Of the six directly supported actionable standards, one (17%) cited at least one reference of level 1 or 2 evidence, none cited at least one reference of level 3 evidence, and five (83%) cited references of level 4 or 5 evidence. Of the completely supported actionable standards, strength of recommendation in five was deemed GRADE D and in one was GRADE B.ConclusionsIn general, recent actionable standards issued by The Joint Commission are seldom supported by high quality data referenced within the issuing documents. The Joint Commission might consider being more transparent about the quality of evidence and underlying rationale supporting each of its recommendations, including clarifying when and why in certain instances it determines that lower level evidence is sufficient.