Mary McDonell
Biographic Data
| ID | 5541205 |
|---|---|
| NAME | Mary McDonell |
| GIVEN NAMES | Mary |
| FAMILY NAME | McDonell |
| SIGNATURE | MCDONELL M |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
Predicting Risk of Hospitalization or Death Among Patients Receiving Primary Care in the Veterans Health Administration
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
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
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
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
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
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
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
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)