5 research outputs found

    Combining genomics and epidemiology to track mumps virus transmission in the United States.

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    Unusually large outbreaks of mumps across the United States in 2016 and 2017 raised questions about the extent of mumps circulation and the relationship between these and prior outbreaks. We paired epidemiological data from public health investigations with analysis of mumps virus whole genome sequences from 201 infected individuals, focusing on Massachusetts university communities. Our analysis suggests continuous, undetected circulation of mumps locally and nationally, including multiple independent introductions into Massachusetts and into individual communities. Despite the presence of these multiple mumps virus lineages, the genomic data show that one lineage has dominated in the US since at least 2006. Widespread transmission was surprising given high vaccination rates, but we found no genetic evidence that variants arising during this outbreak contributed to vaccine escape. Viral genomic data allowed us to reconstruct mumps transmission links not evident from epidemiological data or standard single-gene surveillance efforts and also revealed connections between apparently unrelated mumps outbreaks

    Productivity, Quality, and Patient Satisfaction: Comparison of Part-time and Full-time Primary Care Physicians

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    CONTEXT: Although few data are available, many believe that part-time primary care physicians (PCPs) are less productive and provide lower quality care than full-time PCPs. Some insurers exclude part-time PCPs from their provider networks. OBJECTIVE: To compare productivity, qualtiy of preventive care, patient satisfaction, and risk-adjusted resource utilization of part-time and full-time PCPs. DESIGN: Retrospective cohort study. SETTING: Boston. PARTICIPANTS: PCPs affiliated with 2 academic outpatient primary care networks. MEASUREMENTS: PCP productivity, patient satisfaction, resource utilization, and compliance with screening guidelines. RESULTS: Part-time PCP productivity was greater than that of full-time PCPs (2.1 work relative value units (RVUs)/bookable clinical hour versus 1.3 work RVUs/bookable clinical hour, P < .01). A similar proportion of part-time PCPs (80%) and full-time PCPs (75%) met targets for mammography, Pap smears, and cholesterol screening (P = .67). After adjusting for clinical case mix, practice location, gender, board certification status, and years in practice, resource utilization of part-time PCPs (138[95138 [95% confidence interval (CI), 108 to 167])wassimilartothatoffull−timePCPs(167]) was similar to that of full-time PCPs (139 [95% CI, 108to108 to 170], P = .92). Patient satisfation was similar for part-time and full-time PCPs. CONCLUSIONS: In these academic primary care practices, rates of patient satisfaction, compliance with screenig guidelines, and resource utilization were similar for part-time PCPs compared to full-time PCPs. Productivity per clinical hour was markedly higher for part-time PCPs are atleast as efficient as full-time PCPs and that the quality of their work is similar

    Combining genomics and epidemiology to track mumps virus transmission in the United States.

    No full text
    Unusually large outbreaks of mumps across the United States in 2016 and 2017 raised questions about the extent of mumps circulation and the relationship between these and prior outbreaks. We paired epidemiological data from public health investigations with analysis of mumps virus whole genome sequences from 201 infected individuals, focusing on Massachusetts university communities. Our analysis suggests continuous, undetected circulation of mumps locally and nationally, including multiple independent introductions into Massachusetts and into individual communities. Despite the presence of these multiple mumps virus lineages, the genomic data show that one lineage has dominated in the US since at least 2006. Widespread transmission was surprising given high vaccination rates, but we found no genetic evidence that variants arising during this outbreak contributed to vaccine escape. Viral genomic data allowed us to reconstruct mumps transmission links not evident from epidemiological data or standard single-gene surveillance efforts and also revealed connections between apparently unrelated mumps outbreaks
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