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Barbara Simon

Biographic Data

ID5535444
NAMEBarbara Simon
GIVEN NAMESBarbara
FAMILY NAMESimon
SIGNATURESIMON B
AFFILIATIONSVA Greater Los Angeles Healthcare System
ORCID0009-0001-7260-5557
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS5
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2002
LATEST PUBLICATION YEAR2011
H-INDEX1
  • Potential Safety Gaps in Order Entry and Automated Drug Alerts

    Jeffrey R Spina, Peter A Glassman et al.•ARTICLE•Medical Care•2011•References: 14

    OBJECTIVE: Understanding provider perceptions of and experiences with order entry and order checks (drug alerts) in an electronic prescribing system may help improve medication safety technology. DESIGN: Cross-sectional, national survey of Veterans Administration physicians practicing in various specialties. MEASUREMENT: Thirty-five question instrument was divided into 4 content domains. Response options included dichotomous, numeric, multiple ch…

  • The Evolution of Changes in Primary Care Delivery Underlying the Veterans Health Administration’s Quality Transformation

    Elizabeth M Yano, Barbara F Simon et al.•ARTICLE•American Journal of Public Health•2007•Cited by: 5•References: 31

    Objectives. Suffering from waning demand, poor quality, and reform efforts enabling veterans to “vote with their feet” and leave, the Veterans Health Administration (VA) health care system transformed itself through a series of substantive changes. We examined the evolution of primary care changes underlying VA’s transformation. Methods. We used 3 national organizational surveys from 1993, 1996, and 1999 that measured primary care organization, s…

  • VA emergency health care for women

    Open Access•Donna L Washington, Elizabeth M Yano et al.•ARTICLE•Women s Health Issues•2006

  • Exposure to Automated Drug Alerts Over Time

    Peter A Glassman, Peter Glassman et al.•ARTICLE•Medical Care•2006•References: 13

    OBJECTIVE: We tested whether interval exposure to an automated drug alert system that included approximately 2000 drug-drug interaction alerts increased recognition of selected interacting drug pairs. We also examined other perceptions about computerized order entry. RESEARCH DESIGN: We administered cross-sectional surveys in 2000 and 2002 that included more than 260 eligible clinicians in each time period. SUBJECTS: We studied clinicians practic…

  • Availability of comprehensive women’s health care through Department of Veterans Affairs Medical Center

    Open Access•Donna L Washington, Cindy Caffrey et al.•ARTICLE•Women s Health Issues•2003

  • Improving Recognition of Drug Interactions

    Peter A Glassman, Peter Glassman et al.•ARTICLE•Medical Care•2002•References: 25

    BACKGROUND: Clinicians' perceptions about decision support systems may impact the effectiveness of these technologies. OBJECTIVE: To explore clinicians' baseline knowledge of common drug interactions and experiences with automated drug alerts within a provider order entry system as a means to better understand the potential benefits and barriers to using this technology. RESEARCH DESIGN: Cross-sectional survey. SUBJECTS: The study population comp…

  • What Patient Population Does Visit-Based Sampling in Primary Care Settings Represent

    Martin L Lee, Elizabeth M Yano et al.•ARTICLE•Medical Care•2002•References: 41

    BACKGROUND: Evaluations of outpatient interventions often rely on consecutive sampling of clinic visitors, and assume that study results generalize to the population of patients cared for. OBJECTIVE: The representativeness of such visit-based sampling compared with the population of patients seen during the same year, in terms of sociodemographic and clinical characteristics of the user groups that visit-based sampling yielded were assessed. METH…

  • The Evolution of Changes in Primary Care Delivery Underlying the Veterans Health Administration’s Quality Transformation

    Elizabeth M Yano, Barbara F Simon et al.•ARTICLE•American Journal of Public Health•2007•Cited by: 5•References: 31

    Objectives. Suffering from waning demand, poor quality, and reform efforts enabling veterans to “vote with their feet” and leave, the Veterans Health Administration (VA) health care system transformed itself through a series of substantive changes. We examined the evolution of primary care changes underlying VA’s transformation. Methods. We used 3 national organizational surveys from 1993, 1996, and 1999 that measured primary care organization, s…

  • Improving Recognition of Drug Interactions

    Peter A Glassman, Peter Glassman et al.•ARTICLE•Medical Care•2002•References: 25

    BACKGROUND: Clinicians' perceptions about decision support systems may impact the effectiveness of these technologies. OBJECTIVE: To explore clinicians' baseline knowledge of common drug interactions and experiences with automated drug alerts within a provider order entry system as a means to better understand the potential benefits and barriers to using this technology. RESEARCH DESIGN: Cross-sectional survey. SUBJECTS: The study population comp…

  • What Patient Population Does Visit-Based Sampling in Primary Care Settings Represent

    Martin L Lee, Elizabeth M Yano et al.•ARTICLE•Medical Care•2002•References: 41

    BACKGROUND: Evaluations of outpatient interventions often rely on consecutive sampling of clinic visitors, and assume that study results generalize to the population of patients cared for. OBJECTIVE: The representativeness of such visit-based sampling compared with the population of patients seen during the same year, in terms of sociodemographic and clinical characteristics of the user groups that visit-based sampling yielded were assessed. METH…

  • Availability of comprehensive women’s health care through Department of Veterans Affairs Medical Center

    Open Access•Donna L Washington, Cindy Caffrey et al.•ARTICLE•Women s Health Issues•2003

  • VA emergency health care for women

    Open Access•Donna L Washington, Elizabeth M Yano et al.•ARTICLE•Women s Health Issues•2006

  • Exposure to Automated Drug Alerts Over Time

    Peter A Glassman, Peter Glassman et al.•ARTICLE•Medical Care•2006•References: 13

    OBJECTIVE: We tested whether interval exposure to an automated drug alert system that included approximately 2000 drug-drug interaction alerts increased recognition of selected interacting drug pairs. We also examined other perceptions about computerized order entry. RESEARCH DESIGN: We administered cross-sectional surveys in 2000 and 2002 that included more than 260 eligible clinicians in each time period. SUBJECTS: We studied clinicians practic…

  • The Evolution of Changes in Primary Care Delivery Underlying the Veterans Health Administration’s Quality Transformation

    Elizabeth M Yano, Barbara F Simon et al.•ARTICLE•American Journal of Public Health•2007•Cited by: 5•References: 31

    Objectives. Suffering from waning demand, poor quality, and reform efforts enabling veterans to “vote with their feet” and leave, the Veterans Health Administration (VA) health care system transformed itself through a series of substantive changes. We examined the evolution of primary care changes underlying VA’s transformation. Methods. We used 3 national organizational surveys from 1993, 1996, and 1999 that measured primary care organization, s…

  • Potential Safety Gaps in Order Entry and Automated Drug Alerts

    Jeffrey R Spina, Peter A Glassman et al.•ARTICLE•Medical Care•2011•References: 14

    OBJECTIVE: Understanding provider perceptions of and experiences with order entry and order checks (drug alerts) in an electronic prescribing system may help improve medication safety technology. DESIGN: Cross-sectional, national survey of Veterans Administration physicians practicing in various specialties. MEASUREMENT: Thirty-five question instrument was divided into 4 content domains. Response options included dichotomous, numeric, multiple ch…

Medicine (7 works) · Family medicine (6 works) · Health care (5 works) · Medical emergency (4 works) · Nursing (4 works) · Electronic Health Records Systems (3 works) · Environmental health (3 works) · Patient Satisfaction in Healthcare (3 works) · Population (3 works) · Primary Care and Health Outcomes (3 works)

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