Martha J Radford
Biographic Data
| ID | 5541637 |
|---|---|
| NAME | Martha J Radford |
| GIVEN NAMES | Martha J |
| FAMILY NAME | Radford |
| SIGNATURE | RADFORD M J |
| AFFILIATIONS | Yale University |
| ORCID | 0000-0001-7503-9557 |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2005 |
| H-INDEX | 0 |
Quality Improvement Efforts and Hospital Performance
BACKGROUND: Hospitals are under increasing pressure to measure and improve quality of care, and substantial resources are being directed at a variety of quality improvement strategies; however, the evidence base supporting these strategies is limited. OBJECTIVE: We sought to identify quality improvement efforts that were associated with hospitals' beta-blocker prescription rates after acute myocardial infarction (AMI). RESEARCH DESIGN: This was a…
Accuracy of ICD-9-CM Codes for Identifying Cardiovascular and Stroke Risk Factors
OBJECTIVES: We sought to determine which ICD-9-CM codes in Medicare Part A data identify cardiovascular and stroke risk factors. DESIGN AND PARTICIPANTS: This was a cross-sectional study comparing ICD-9-CM data to structured medical record review from 23,657 Medicare beneficiaries aged 20 to 105 years who had atrial fibrillation. MEASUREMENTS: Quality improvement organizations used standardized abstraction instruments to determine the presence of…
Comorbidity Indices to Predict Mortality From Medicare Data
BACKGROUND: By accounting for level of comorbidity, risk-adjustment models should quantify the risk of death. How accurately comorbidity indices predict risk of death in Medicare beneficiaries with atrial fibrillation is unclear. OBJECTIVES: We sought to quantify how well 3 administrative-data based comorbidity indices (Deyo, Romano, and Elixhauser) predict mortality compared with a chart-review index. DESIGN: We undertook a retrospective cohort …
Hospital-Level Performance Improvement
BACKGROUND: National surveys indicate improvement in beta-blocker use after acute myocardial infarction (AMI) over time; however, these data could obscure important variation in improvement at individual hospitals. Our objective was to characterize the hospital-level variation in the improvements in beta-blocker prescription rates after AMI and to identify hospital characteristics that were associated with hospital improvement rates after adjustm…
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Hospital-Level Performance Improvement
BACKGROUND: National surveys indicate improvement in beta-blocker use after acute myocardial infarction (AMI) over time; however, these data could obscure important variation in improvement at individual hospitals. Our objective was to characterize the hospital-level variation in the improvements in beta-blocker prescription rates after AMI and to identify hospital characteristics that were associated with hospital improvement rates after adjustm…
Quality Improvement Efforts and Hospital Performance
BACKGROUND: Hospitals are under increasing pressure to measure and improve quality of care, and substantial resources are being directed at a variety of quality improvement strategies; however, the evidence base supporting these strategies is limited. OBJECTIVE: We sought to identify quality improvement efforts that were associated with hospitals' beta-blocker prescription rates after acute myocardial infarction (AMI). RESEARCH DESIGN: This was a…
Accuracy of ICD-9-CM Codes for Identifying Cardiovascular and Stroke Risk Factors
OBJECTIVES: We sought to determine which ICD-9-CM codes in Medicare Part A data identify cardiovascular and stroke risk factors. DESIGN AND PARTICIPANTS: This was a cross-sectional study comparing ICD-9-CM data to structured medical record review from 23,657 Medicare beneficiaries aged 20 to 105 years who had atrial fibrillation. MEASUREMENTS: Quality improvement organizations used standardized abstraction instruments to determine the presence of…
Comorbidity Indices to Predict Mortality From Medicare Data
BACKGROUND: By accounting for level of comorbidity, risk-adjustment models should quantify the risk of death. How accurately comorbidity indices predict risk of death in Medicare beneficiaries with atrial fibrillation is unclear. OBJECTIVES: We sought to quantify how well 3 administrative-data based comorbidity indices (Deyo, Romano, and Elixhauser) predict mortality compared with a chart-review index. DESIGN: We undertook a retrospective cohort …
Medicine (4 works) · Heart failure (3 works) · Internal Medicine (3 works) · Internal Medicine (3 works) · Atrial fibrillation (2 works) · Chronic Disease Management Strategies (2 works) · Heart Failure Treatment and Management (2 works) · Sepsis Diagnosis and Treatment (2 works) · Acute Myocardial Infarction Research (1 work) · Beta blocker (1 work)