Patricia Halfon

Biographic Data

ID5537393
NAMEPatricia Halfon
GIVEN NAMESPatricia
FAMILY NAMEHalfon
SIGNATUREHALFON P
AFFILIATIONSInstitute of Social and Preventive Medicine
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2005
LATEST PUBLICATION YEAR2010
H-INDEX0

  • Surgical Safety and Hospital Volume Across a Wide Range of Interventions

    Yves Eggli, Patricia Halfon et al.ARTICLEMedical Care2010References: 40

    OBJECTIVES: For certain major operations, inpatient mortality risk is lower in high-volume hospitals than those in low-volume hospitals. Extending the analysis to a broader range of interventions and outcomes is necessary before adopting policies based on minimum volume thresholds. METHODS: Using the United States 2004 Nationwide Inpatient Sample, we assessed the effect of intervention-specific and overall hospital volume on surgical complication…

  • Cross-National Comparative Performance of Three Versions of the ICD-10 Charlson Index

    Vijaya Sundararajan, Hude Quan et al.ARTICLEMedical Care2007References: 12

    OBJECTIVE: The Charlson comorbidity index has been widely used for risk adjustment in outcome studies using administrative health data. Recently, 3 International Statistical Classification of Diseases, Tenth Revision (ICD-10) translations have been published for the Charlson comorbidities. This study was conducted to compare the predictive performance of these versions (the Halfon, Sundararajan, and Quan versions) of the ICD-10 coding algorithms …

  • Validation of the Potentially Avoidable Hospital Readmission Rate as a Routine Indicator of the Quality of Hospital Care

    Patricia Halfon, Yves Eggli et al.ARTICLEMedical Care2006References: 35

    BACKGROUND: The hospital readmission rate has been proposed as an important outcome indicator computable from routine statistics. However, most commonly used measures raise conceptual issues. OBJECTIVES: We sought to evaluate the usefulness of the computerized algorithm for identifying avoidable readmissions on the basis of minimum bias, criterion validity, and measurement precision. RESEARCH DESIGN AND SUBJECTS: A total of 131,809 hospitalizatio…

  • Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data

    Hude Quan, Vijaya Sundararajan et al.ARTICLEMedical Care2005References: 13

    OBJECTIVES: Implementation of the International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system presents challenges for using administrative data. Recognizing this, we conducted a multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms. METHODS: ICD-10 coding algorithms…