29 research outputs found

    Evaluation of the performance of tests for spatial randomness on prostate cancer data

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    Background: Spatial global clustering tests can be used to evaluate the geographical distribution of health outcomes. The power of several of these tests has been evaluated and compared using simulated data, but their performance using real unadjusted data and data adjusted for individual- and area-level covariates has not been reported previously. We evaluated data on prostate cancer histologic tumor grade and stage of disease at diagnosis for incident cases of prostate cancer reported to the Maryland Cancer Registry during 1992–1997. We analyzed unadjusted data as well as expected counts from models that were adjusted for individual- level covariates (race, age and year of diagnosis) and area-level covariates (census block group median household income and a county-level socioeconomic index). We chose 3 spatial clustering tests that are commonly used to evaluate the geographic distribution of disease: Cuzick-Edwards' k-NN (k-Nearest Neighbors) test, Moran's I and Tango's MEET (Maximized Excess Events Test). Results: For both grade and stage at diagnosis, we found that Cuzick-Edwards' k-NN and Moran's I were very sensitive to the percent of population parameter selected. For stage at diagnosis, all three tests showed that the models with individual- and area-level adjustments reduced clustering the most, but did not reduce it entirely. Conclusion: Based on this specific example, results suggest that these tests provide useful tools for evaluating spatial clustering of disease characteristics, both before and after consideration of covariates

    Health Benefits, Risks, and Cost-Effectiveness of Influenza Vaccination of Children

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    Vaccinating children aged 6–23 months, plus all other children at high-risk, will likely be more effective than vaccinating all children against influenza

    Methicillin-Resistant Staphylococcus aureus Infection and Hospitalization in High-Risk Patients in the Year following Detection

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    Many studies have evaluated methicillin-resistant Staphylococcus aureus (MRSA) infections during single hospitalizations and subsequent readmissions to the same institution. None have assessed the comprehensive burden of MRSA infection in the period after hospital discharge while accounting for healthcare utilization across institutions.We conducted a retrospective cohort study of adult patients insured by Harvard Pilgrim Health Care who were newly-detected to harbor MRSA between January 1991 and December 2003 at a tertiary care medical center. We evaluated all MRSA-attributable infections associated with hospitalization in the year following new detection, regardless of hospital location. Data were collected on comorbidities, healthcare utilization, mortality and MRSA outcomes. Of 591 newly-detected MRSA carriers, 23% were colonized and 77% were infected upon detection. In the year following detection, 196 (33%) patients developed 317 discrete and unrelated MRSA infections. The most common infections were pneumonia (34%), soft tissue (27%), and primary bloodstream (18%) infections. Infections occurred a median of 56 days post-detection. Of all infections, 26% involved bacteremia, and 17% caused MRSA-attributable death. During the admission where MRSA was newly-detected, 14% (82/576) developed subsequent infection. Of those surviving to discharge, 24% (114/482) developed post-discharge infections in the year following detection. Half (99/185, 54%) of post-discharge infections caused readmission, and most (104/185, 55%) occurred over 90 days post-discharge.In high-risk tertiary care patients, newly-detected MRSA carriage confers large risks of infection and substantial attributable mortality in the year following acquisition. Most infections occur post-discharge, and 18% of infections associated with readmission occurred in hospitals other than the one where MRSA was newly-detected. Despite gains in reducing MRSA infections during hospitalization, the risk of MRSA infection among critically and chronically ill carriers persists after discharge and warrants targeted prevention strategies

    Epidemiology and risk factors for Staphylococcus aureus colonization in children in the post-PCV7 era

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    <p>Abstract</p> <p>Background</p> <p>The incidence of community-associated methicillin-resistant <it>Staphylococcus aureus </it>(MRSA) has risen dramatically in the U.S., particularly among children. Although <it>Streptococcus pneumoniae </it>colonization has been inversely associated with <it>S. aureus </it>colonization in unvaccinated children, this and other risk factors for <it>S. aureus </it>carriage have not been assessed following widespread use of the heptavalent pneumococcal conjugate vaccine (PCV7). Our objectives were to (1) determine the prevalence of <it>S. aureus </it>and MRSA colonization in young children in the context of widespread use of PCV7; and (2) examine risk factors for <it>S. aureus </it>colonization in the post-PCV7 era, including the absence of vaccine-type <it>S. pneumoniae </it>colonization.</p> <p>Methods</p> <p>Swabs of the anterior nares (<it>S. aureus</it>) were obtained from children enrolled in an ongoing study of nasopharyngeal pneumococcal colonization of healthy children in 8 Massachusetts communities. Children 3 months to <7 years of age seen for well child or sick visits in primary care offices from 11/03–4/04 and 10/06–4/07 were enrolled. <it>S. aureus </it>was identified and antibiotic susceptibility testing was performed. Epidemiologic risk factors for <it>S. aureus </it>colonization were collected from parent surveys and chart reviews, along with data on pneumococcal colonization. Multivariate mixed model analyses were performed to identify factors associated with <it>S. aureus </it>colonization.</p> <p>Results</p> <p>Among 1,968 children, the mean age (SD) was 2.7 (1.8) years, 32% received an antibiotic in the past 2 months, 2% were colonized with PCV7 strains and 24% were colonized with non-PCV7 strains. The prevalence of <it>S. aureus </it>colonization remained stable between 2003–04 and 2006–07 (14.6% vs. 14.1%), while MRSA colonization remained low (0.2% vs. 0.9%, p = 0.09). Although absence of pneumococcal colonization was not significantly associated with <it>S. aureus </it>colonization, age (6–11 mo vs. β‰₯5 yrs, OR 0.39 [95% CI 0.24–0.64]; 1–1.99 yrs vs. β‰₯5 yrs, OR 0.35 [0.23–0.54]; 2–2.99 yrs vs. β‰₯5 yrs, OR 0.45 [0.28–0.73]; 3–3.99 yrs vs. β‰₯5 yrs, OR 0.53 [0.33–0.86]) and recent antibiotic use were significant predictors in multivariate models.</p> <p>Conclusion</p> <p>In Massachusetts, <it>S. aureus </it>and MRSA colonization remained stable from 2003–04 to 2006–07 among children <7 years despite widespread use of pneumococcal conjugate vaccine. <it>S. aureus </it>nasal colonization varies by age and is inversely correlated with recent antibiotic use.</p

    Collaborations in Population-Based Health Research: The 17th Annual HMO Research Network Conference, March 23–25, 2011, Boston, Massachusetts

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    The HMO Research Network (HMORN) is a consortium of 16 health care systems with integrated research centers. Approximately 475 people participated in its 17th annual conference, hosted by the Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School. The theme, β€œCollaborations in Population-Based Health Research,” reflected the network’s emphasis on collaborative studies both among its members and with external investigators. Plenary talks highlighted the initial phase of the HMORN’s work to establish the NIH-HMO Collaboratory, opportunities for public health collaborations, the work of early career investigators, and the state of the network. Platform and poster presentations showcased a broad spectrum of innovative public domain research in areas including disease epidemiology and treatment, health economics, and information technology. Special interest group sessions and ancillary meetings provided venues for informal conversation and structured work among ongoing groups, including networks in cancer, cardiovascular diseases, lung diseases, medical product safety, and mental health
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