Mary B McDonell

Biographic Data

ID5535040
NAMEMary B McDonell
GIVEN NAMESMary B
FAMILY NAMEMcDonell
SIGNATUREMCDONELL M B
AFFILIATIONSVA Puget Sound Health Care System
VERIFIEDNo
TOTAL WORKS9
TOTAL CITATIONS0
WORKS AS AUTHOR9
WORKS AS EDITOR0
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.ARTICLEMedical Care2013References: 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…

  • Depression, Posttraumatic Stress Disorder, and Mortality

    Leslie S Kinder, Karen A Bradley et al.ARTICLEPsychosomatic Medicine2008

    OBJECTIVE: To determine whether a history of depression and/or posttraumatic stress disorder (PTSD) is associated with all-cause mortality in primary care patients over an average of 2 years. METHODS: Patients from seven Department of Veterans Affairs medical centers completed mailed questionnaires. Depression and PTSD status were determined from patient self-report of a prior diagnosis and/or electronic administrative data. Date of death was asc…

  • A Refill Adherence Algorithm for Multiple Short Intervals to Estimate Refill Compliance (ReComp)

    Chris L Bryson, David H Au et al.ARTICLEMedical Care2007References: 15

    BACKGROUND: There are many measures of refill adherence available, but few have been designed or validated for use with repeated measures designs and short observation periods. OBJECTIVE: To design a refill-based adherence algorithm suitable for short observation periods, and compare it to 2 reference measures. METHODS: A single composite algorithm incorporating information on both medication gaps and oversupply was created. Electronic Veterans A…

  • Predicting Mortality and Healthcare Utilization with a Single Question

    Open AccessKaren B Desalvo, Laura Suárez González de Araújo et al.ARTICLEHealth Services Research2005

    Objective. We compared single‐ and multi‐item measures of general self‐rated health (GSRH) to predict mortality and clinical events a large population of veteran patients. Data Source/Study Setting. We analyzed prospective cohort data collected from 21,732 patients as part of the Veterans Affairs Ambulatory Care Quality Improvement Project (ACQUIP), a randomized controlled trial investigating quality‐of‐care interventions. Study Design. We create…

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

    Brian Keeffe, Brian G Keeffe et al.ARTICLEMedical Care2005References: 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.ARTICLEMedical Care2004References: 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. …

  • Accounting for Deaths in Longitudinal Studies Using the SF-36

    Paula Diehr, Donald L Patrick et al.ARTICLEMedical Care2003References: 6

    BACKGROUND: Commonly used measures such as the Physical Component Scale of the Short Form 36-item health survey (PCS) are undefined at death, limiting longitudinal analyses to survivors, a healthier cohort that cannot be identified prospectively, and that might have had little change in health. One proposed approach is to transform the PCS into the Physical Component Transformed, with Deaths included (PCTD), which is the probability of being heal…

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

    Paula Diehr, Donald L Patrick et al.ARTICLEMedical Care2001References: 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…

  • Regional Variations in Health Status

    David H Au, Mary B McDonell et al.ARTICLEMedical Care2001References: 10

    CONTEXT: Knowledge about variations in the health status of patients seeking primary care in different parts of the United States is limited. OBJECTIVE: To examine regional variations in the physical and mental health of patients receiving primary care in the largest integrated health care system in the United States which is operated by the Department of Veteran Affairs (VA). STUDY DESIGN AND SETTING: We performed a mailed, cross sectional surve…