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Mary McDonell

Biographic Data

ID5541205
NAMEMary McDonell
GIVEN NAMESMary
FAMILY NAMEMcDonell
SIGNATUREMCDONELL M
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2013
H-INDEX0
  • Predicting Risk of Hospitalization or Death Among Patients Receiving Primary Care in the Veterans Health Administration

    Li Wang, Brian Porter et al.•ARTICLE•Medical Care•2013•References: 13

    BACKGROUND: Statistical models that identify patients at elevated risk of death or hospitalization have focused on population subsets, such as those with a specific clinical condition or hospitalized patients. Most models have limitations for clinical use. Our objective was to develop models that identified high-risk primary care patients. METHODS: Using the Primary Care Management Module in the Veterans Health Administration (VHA)'s Corporate Da…

  • Provider Response to Computer-Based Care Suggestions for Chronic Heart Failure

    Brian Keeffe, Brian G Keeffe et al.•ARTICLE•Medical Care•2005•References: 16

    OBJECTIVES: We sought to assess the responses of providers to recommendations generated by a computer-management system for chronic heart failure (CHF). METHODS: This study is an analysis of primary care providers' responses to evidence-based computer-generated suggestions regarding patients with CHF at one center of a randomized trial. The trial randomized primary care providers from 2 VA Medical Centers to receive care suggestions regarding pat…

  • Predicting Healthcare Costs in a Population of Veterans Affairs Beneficiaries Using Diagnosis-Based Risk Adjustment and Self-Reported Health Status

    Kenneth Pietz, Carol M Ashton et al.•ARTICLE•Medical Care•2004•References: 17

    BACKGROUND: Many healthcare organizations use diagnosis-based risk adjustment systems for predicting costs. Health self-report may add information not contained in a diagnosis-based system but is subject to incomplete response. OBJECTIVE: The objective of this study was to evaluate the added predictive power of health self-report in combination with a diagnosis-based risk adjustment system in concurrent and prospective models of healthcare cost. …

  • Transforming Self-Rated Health and the SF-36 Scales to Include Death and Improve Interpretability

    Paula Diehr, Donald L Patrick et al.•ARTICLE•Medical Care•2001•References: 14

    BACKGROUND: Most measures of health-related quality of life are undefined for people who die. Longitudinal analyses are often limited to a healthier cohort (survivors) that cannot be identified prospectively, and that may have had little change in health. OBJECTIVE: To develop and evaluate methods to transform a single self-rated health item (excellent to poor; EVGGFP) and the physical component score of the SF-36 (PCS) to new variables that incl…

No prominent works on this page.

  • Transforming Self-Rated Health and the SF-36 Scales to Include Death and Improve Interpretability

    Paula Diehr, Donald L Patrick et al.•ARTICLE•Medical Care•2001•References: 14

    BACKGROUND: Most measures of health-related quality of life are undefined for people who die. Longitudinal analyses are often limited to a healthier cohort (survivors) that cannot be identified prospectively, and that may have had little change in health. OBJECTIVE: To develop and evaluate methods to transform a single self-rated health item (excellent to poor; EVGGFP) and the physical component score of the SF-36 (PCS) to new variables that incl…

  • Predicting Healthcare Costs in a Population of Veterans Affairs Beneficiaries Using Diagnosis-Based Risk Adjustment and Self-Reported Health Status

    Kenneth Pietz, Carol M Ashton et al.•ARTICLE•Medical Care•2004•References: 17

    BACKGROUND: Many healthcare organizations use diagnosis-based risk adjustment systems for predicting costs. Health self-report may add information not contained in a diagnosis-based system but is subject to incomplete response. OBJECTIVE: The objective of this study was to evaluate the added predictive power of health self-report in combination with a diagnosis-based risk adjustment system in concurrent and prospective models of healthcare cost. …

  • Provider Response to Computer-Based Care Suggestions for Chronic Heart Failure

    Brian Keeffe, Brian G Keeffe et al.•ARTICLE•Medical Care•2005•References: 16

    OBJECTIVES: We sought to assess the responses of providers to recommendations generated by a computer-management system for chronic heart failure (CHF). METHODS: This study is an analysis of primary care providers' responses to evidence-based computer-generated suggestions regarding patients with CHF at one center of a randomized trial. The trial randomized primary care providers from 2 VA Medical Centers to receive care suggestions regarding pat…

  • Predicting Risk of Hospitalization or Death Among Patients Receiving Primary Care in the Veterans Health Administration

    Li Wang, Brian Porter et al.•ARTICLE•Medical Care•2013•References: 13

    BACKGROUND: Statistical models that identify patients at elevated risk of death or hospitalization have focused on population subsets, such as those with a specific clinical condition or hospitalized patients. Most models have limitations for clinical use. Our objective was to develop models that identified high-risk primary care patients. METHODS: Using the Primary Care Management Module in the Veterans Health Administration (VHA)'s Corporate Da…

Medicine (4 works) · Chronic Disease Management Strategies (3 works) · Gerontology (3 works) · Gerontology (3 works) · Political science (3 works) · Family medicine (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · MEDLINE (2 works) · Primary Care and Health Outcomes (2 works)

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