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Peter A Glassman

Biographic Data

ID5535443
NAMEPeter A Glassman
GIVEN NAMESPeter A
FAMILY NAMEGlassman
SIGNATUREGLASSMAN P A
AFFILIATIONSVeterans Affairs VA Pharmacy Benefits Management Services, Washington, DC 20004, USA
VERIFIEDNo
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2002
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Interventions to Increase Leukocyte Testing during Treatment with Dimethyl Fumarate

    Open Access•Paul A Heidenreich, Shoutzu Lin et al.•ARTICLE•International Journal of…•2021

    Dimethyl fumarate (DMF), a treatment for multiple sclerosis, may cause leukopenia and infection. Accordingly, periodic white blood cell (WBC) monitoring is recommended. We sought to evaluate the US Department of Veteran Affairs' safety program which provides facilities with a list of patients prescribed DMF therapy without a documented white blood cell count (WBC). We identified 118 sites with patients treated with DMF from 1 January 2016 through…

  • Systematic Review

    Amal N Trivedi, Sierra Matula et al.•ARTICLE•Medical Care•2011

  • 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…

  • 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 Evolving Use of Cost-Effectiveness Analysis in Formulary Management Within the Department of Veterans Affairs

    Sherrie L Aspinall, Chester B Good et al.•ARTICLE•Medical Care•2005•References: 21

    The Veterans Health Administration (VHA) runs the largest integrated healthcare system in the nation. Formulary management within VHA primarily involves 3 national groups: the Medical Advisory Panel, the Veterans Integrated Service Network Formulary Leaders, and the Pharmacy Benefits Management Strategic Healthcare Group. Together, these groups manage the VHA national drug formulary with a goal of providing a comprehensive, safe, and cost-effecti…

  • Provider Perceptions of Pharmacy Management

    Peter A Glassman, Peter Glassman et al.•ARTICLE•Medical Care•2004•References: 3

    Objective: The objective of this study was to contrast experiences and opinion of providers in military treatment facilities, where a single formulary is used, with those of community providers where multiple formularies and preferred lists are commonly encountered. Study Design: We conducted cross-sectional surveys. Setting: The study was conducted at military and community practices that serve military beneficiaries. Participants: We studied ra…

  • 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…

No prominent works on this page.

  • 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…

  • Provider Perceptions of Pharmacy Management

    Peter A Glassman, Peter Glassman et al.•ARTICLE•Medical Care•2004•References: 3

    Objective: The objective of this study was to contrast experiences and opinion of providers in military treatment facilities, where a single formulary is used, with those of community providers where multiple formularies and preferred lists are commonly encountered. Study Design: We conducted cross-sectional surveys. Setting: The study was conducted at military and community practices that serve military beneficiaries. Participants: We studied ra…

  • The Evolving Use of Cost-Effectiveness Analysis in Formulary Management Within the Department of Veterans Affairs

    Sherrie L Aspinall, Chester B Good et al.•ARTICLE•Medical Care•2005•References: 21

    The Veterans Health Administration (VHA) runs the largest integrated healthcare system in the nation. Formulary management within VHA primarily involves 3 national groups: the Medical Advisory Panel, the Veterans Integrated Service Network Formulary Leaders, and the Pharmacy Benefits Management Strategic Healthcare Group. Together, these groups manage the VHA national drug formulary with a goal of providing a comprehensive, safe, and cost-effecti…

  • 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…

  • Systematic Review

    Amal N Trivedi, Sierra Matula et al.•ARTICLE•Medical Care•2011

  • 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…

  • Interventions to Increase Leukocyte Testing during Treatment with Dimethyl Fumarate

    Open Access•Paul A Heidenreich, Shoutzu Lin et al.•ARTICLE•International Journal of…•2021

    Dimethyl fumarate (DMF), a treatment for multiple sclerosis, may cause leukopenia and infection. Accordingly, periodic white blood cell (WBC) monitoring is recommended. We sought to evaluate the US Department of Veteran Affairs' safety program which provides facilities with a list of patients prescribed DMF therapy without a documented white blood cell count (WBC). We identified 118 sites with patients treated with DMF from 1 January 2016 through…

Medicine (6 works) · Electronic Health Records Systems (3 works) · Family medicine (3 works) · Health care (3 works) · Medical emergency (3 works) · Pharmaceutical Practices and Patient Outcomes (3 works) · Pharmacy (3 works) · Pharmacy (3 works) · Business (2 works) · Clinical decision support system (2 works)

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