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Michele Freeman

Biographic Data

ID5546468
NAMEMichele Freeman
GIVEN NAMESMichele
FAMILY NAMEFreeman
SIGNATUREFREEMAN M
AFFILIATIONSVA Evidence-based Synthesis Program
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1978
LATEST PUBLICATION YEAR2018
H-INDEX0
  • Decision flows into actions

    Open Access•Anne-Marike Schiffer, Mark Helfand et al.•ARTICLE•Nature Human Behaviour•2018

  • Health Disparities in Veterans

    Karli Kondo, Karli K Kondo et al.•ARTICLE•Medical Care•2017•References: 3

    BACKGROUND: Goals for improving the quality of care for all Veterans and eliminating health disparities are outlined in the Veterans Health Administration Blueprint for Excellence, but the degree to which disparities in utilization, health outcomes, and quality of care affect Veterans is not well understood. OBJECTIVES: To characterize the research on health care disparities in the Veterans Health Administration by means of a map of the evidence.…

  • Risk Prediction Models for Hospital Readmission

    Devan Kansagara, Honora Englander et al.•ARTICLE•JAMA•2011

    CONTEXT: Predicting hospital readmission risk is of great interest to identify which patients would benefit most from care transition interventions, as well as to risk-adjust readmission rates for the purposes of hospital comparison. OBJECTIVE: To summarize validated readmission risk prediction models, describe their performance, and assess suitability for clinical or administrative use. DATA SOURCES AND STUDY SELECTION: The databases of MEDLINE,…

  • Teaching Lawyers about Social Work

    Open Access•M D A FREEMAN, Michele Freeman•ARTICLE•Adoption & Fostering•1978•References: 1

No prominent works on this page.

  • Teaching Lawyers about Social Work

    Open Access•M D A FREEMAN, Michele Freeman•ARTICLE•Adoption & Fostering•1978•References: 1

  • Risk Prediction Models for Hospital Readmission

    Devan Kansagara, Honora Englander et al.•ARTICLE•JAMA•2011

    CONTEXT: Predicting hospital readmission risk is of great interest to identify which patients would benefit most from care transition interventions, as well as to risk-adjust readmission rates for the purposes of hospital comparison. OBJECTIVE: To summarize validated readmission risk prediction models, describe their performance, and assess suitability for clinical or administrative use. DATA SOURCES AND STUDY SELECTION: The databases of MEDLINE,…

  • Health Disparities in Veterans

    Karli Kondo, Karli K Kondo et al.•ARTICLE•Medical Care•2017•References: 3

    BACKGROUND: Goals for improving the quality of care for all Veterans and eliminating health disparities are outlined in the Veterans Health Administration Blueprint for Excellence, but the degree to which disparities in utilization, health outcomes, and quality of care affect Veterans is not well understood. OBJECTIVES: To characterize the research on health care disparities in the Veterans Health Administration by means of a map of the evidence.…

  • Decision flows into actions

    Open Access•Anne-Marike Schiffer, Mark Helfand et al.•ARTICLE•Nature Human Behaviour•2018

Medicine (3 works) · Psychology (3 works) · Environmental health (2 works) · MEDLINE (2 works) · Population (2 works) · Acute pain (1 work) · Airway Management and Intubation Techniques (1 work) · Anesthesia (1 work) · CINAHL (1 work) · Confidence interval (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae