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Nancy Sonnenfeld

Biographic Data

ID5542891
NAMENancy Sonnenfeld
GIVEN NAMESNancy
FAMILY NAMESonnenfeld
SIGNATURESONNENFELD N
AFFILIATIONSNational Center for Health Statistics
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS4
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2005
LATEST PUBLICATION YEAR2018
H-INDEX1
  • Estimated Cost Savings: Everyone With Diabetes Counts (EDC) Program

    Open Access•Lori Silveira, Lori J Silveira et al.•ARTICLE•Family & Community Health•2018

    Everyone with Diabetes Counts (EDC) is a national disparities reduction program funded by the Centers for Medicare & Medicaid Services to improve outcomes in the underserved minority, diverse, and rural populations. This analysis evaluates West Virginia's pilot program of diabetes self-management education (DSME), one component of EDC. We frequency-matched 422 DSME completers to 1688 others by demographics and enrollment from Medicare fee-for ser…

  • Emergency Department Volume and Racial and Ethnic Differences in Waiting Times in the United States

    Nancy Sonnenfeld, Stephen R Pitts et al.•ARTICLE•Medical Care•2012•References: 17

    BACKGROUND: Racial and ethnic differences in emergency department (ED) waiting times have been observed previously. OBJECTIVES: We explored how adjusting for ED attributes, particularly visit volume, affected racial/ethnic differences in waiting time. RESEARCH DESIGN: We constructed linear models using generalized estimating equations with 2007-2008 National Hospital Ambulatory Medical Care Survey data. SUBJECTS: We analyzed data from 54,819 visi…

  • Graber Et Al. Respond

    Judith M Graber, Brenda E Corkum et al.•ARTICLE•American Journal of Public Health•2005•References: 4

    My colleagues and I thank Rosenberg for his comments and interpretation regarding our work on the deterioration of American Indian mortality statistics in Maine. Rosenberg cites improvements made by the National Center for Health Statistics (NCHS) in processing procedures for race-specific data. Undoubtedly these new procedures have improved the overall quality of race coding. However, these procedures involve the systematic review and editing of…

  • Underestimation of Cardiovascular Disease Mortality Among Maine American Indians: The Role of Procedural and Data Errors

    Judith M Graber, Judith Everts‐Graber et al.•ARTICLE•American Journal of Public Health•2005•Cited by: 4•References: 8

    We collaborated with Maine American Indian tribes to evaluate racial coding on death certificates and the effects of coding errors on estimation of cardiovascular disease (CVD) mortality. Lists of tribal decedents were matched to death certificates; 38.5% were misclassified (17.8% coding errors; 20.7% data entry errors). After errors were corrected, CVD mortality trends were similar between American Indians and all Maine residents. Racial misclas…

  • Underestimation of Cardiovascular Disease Mortality Among Maine American Indians: The Role of Procedural and Data Errors

    Judith M Graber, Judith Everts‐Graber et al.•ARTICLE•American Journal of Public Health•2005•Cited by: 4•References: 8

    We collaborated with Maine American Indian tribes to evaluate racial coding on death certificates and the effects of coding errors on estimation of cardiovascular disease (CVD) mortality. Lists of tribal decedents were matched to death certificates; 38.5% were misclassified (17.8% coding errors; 20.7% data entry errors). After errors were corrected, CVD mortality trends were similar between American Indians and all Maine residents. Racial misclas…

  • Graber Et Al. Respond

    Judith M Graber, Brenda E Corkum et al.•ARTICLE•American Journal of Public Health•2005•References: 4

    My colleagues and I thank Rosenberg for his comments and interpretation regarding our work on the deterioration of American Indian mortality statistics in Maine. Rosenberg cites improvements made by the National Center for Health Statistics (NCHS) in processing procedures for race-specific data. Undoubtedly these new procedures have improved the overall quality of race coding. However, these procedures involve the systematic review and editing of…

  • Underestimation of Cardiovascular Disease Mortality Among Maine American Indians: The Role of Procedural and Data Errors

    Judith M Graber, Judith Everts‐Graber et al.•ARTICLE•American Journal of Public Health•2005•Cited by: 4•References: 8

    We collaborated with Maine American Indian tribes to evaluate racial coding on death certificates and the effects of coding errors on estimation of cardiovascular disease (CVD) mortality. Lists of tribal decedents were matched to death certificates; 38.5% were misclassified (17.8% coding errors; 20.7% data entry errors). After errors were corrected, CVD mortality trends were similar between American Indians and all Maine residents. Racial misclas…

  • Emergency Department Volume and Racial and Ethnic Differences in Waiting Times in the United States

    Nancy Sonnenfeld, Stephen R Pitts et al.•ARTICLE•Medical Care•2012•References: 17

    BACKGROUND: Racial and ethnic differences in emergency department (ED) waiting times have been observed previously. OBJECTIVES: We explored how adjusting for ED attributes, particularly visit volume, affected racial/ethnic differences in waiting time. RESEARCH DESIGN: We constructed linear models using generalized estimating equations with 2007-2008 National Hospital Ambulatory Medical Care Survey data. SUBJECTS: We analyzed data from 54,819 visi…

  • Estimated Cost Savings: Everyone With Diabetes Counts (EDC) Program

    Open Access•Lori Silveira, Lori J Silveira et al.•ARTICLE•Family & Community Health•2018

    Everyone with Diabetes Counts (EDC) is a national disparities reduction program funded by the Centers for Medicare & Medicaid Services to improve outcomes in the underserved minority, diverse, and rural populations. This analysis evaluates West Virginia's pilot program of diabetes self-management education (DSME), one component of EDC. We frequency-matched 422 DSME completers to 1688 others by demographics and enrollment from Medicare fee-for ser…

Medicine (4 works) · Demography (3 works) · Gerontology (3 works) · Environmental health (2 works) · Family medicine (2 works) · Gerontology (2 works) · Primary Care and Health Outcomes (2 works) · Racial and Ethnic Identity Research (2 works) · Anthropology (1 works) · Cause of death (1 works)

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