Ann Hendricks
Biographic Data
| ID | 5535976 |
|---|---|
| NAME | Ann Hendricks |
| GIVEN NAMES | Ann |
| FAMILY NAME | Hendricks |
| SIGNATURE | HENDRICKS A |
| AFFILIATIONS | VA Boston Healthcare System |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 29 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 1 |
Anticipating the Traumatic Brain Injury–Related Health Care Needs of Women Veterans After the Department of Defense Change in Combat Assignment Policy
Psychiatric Diagnoses and Neurobehavioral Symptom Severity among OEF/OIF VA Patients with Deployment-Related Traumatic Brain Injury
Hospitals as Multiproduct Firms
From the VA Boston Healthcare System, Boston, Massachusetts. Reprints: Ann Hendricks, PhD, VA Boston HCS (152H), 150 S. Huntington Ave, Boston, MA 02130. E-mail: [email protected]
Agreement Between Administrative Data and Patients’ Self-Reports of Race/Ethnicity
Objectives. We examined agreement of administrative data with self-reported race/ethnicity and identified correlates of agreement. Methods. We used Veterans Affairs administrative data and VA 1999 Large Health survey race/ethnicity data. Results. Relatively low rates of agreement (approximately 60%) between data sources were largely the result of administrative data from patients whose race/ethnicity was unknown, with least agreement for Native A…
What Would VA Nursing Home Care Cost? Methods for Estimating Private Sector Payments
OBJECTIVES: To describe the methods used to validate Veterans Health Administration (VA) nursing home acuity data and estimate hypothetical payments for nursing home patients in VA-based and community-based units. METHODS: For a sample of VA-based and community-based nursing home patients at six sites, auditors validated the resource utilization classifications from the most recent complete full or quarterly assessments. Scores were averaged to o…
Evaluating VA Patient-Level Expenditures
OBJECTIVES: To make preliminary comparisons of Veterans Health Administration (VA) Decision Support System (DSS) patient-level cost information with Medicare allowable reimbursements. METHODS: For six VA facilities in the Evaluating VA Costs study for federal fiscal year 1999, DSS cost estimates for outpatient inguinal hernia and cataract operations and inpatient stays for chronic obstructive pulmonary disease, simple pneumonia, diabetes, and det…
Estimating Private Sector Values for VA Health Care
OBJECTIVES: To provide an overview of methods used to establish what taxpayer costs would be if all Veterans Health Administration (VA) patient care were paid for by the federal government but provided in the private sector. METHODS: Study assumptions included (1) that there would be a hypothetical policy change to pay for VA care through a Medicare-based fee-for-service program, (2) that the VA coverage benefit would not change, (3) that practic…
More or Less
OBJECTIVE: To examine past comparisons of the costs of the Veterans Health Administration (VA) and of non-VA providers to determine lessons and data requirements for future cost comparisons, particularly those assessing VA efficiency and to determine whether VA should purchase care from non-VA providers. CONCEPTUAL FRAMEWORK: Over the past two decades, researchers have tried to establish how VA costs compare to those of non-VA health care deliver…
Private Health Insurance and Veterans Use of Veterans Affairs Care
OBJECTIVES: This study examined the effect of private health insurance on the use of medical, surgical, psychiatric, and addiction services for patients eligible for publicly supported care. METHODS: The authors assembled administrative databases describing 350,000 noninstitutionalized veterans who had been discharged from a Veterans Affairs (VA) inpatient medicine or surgery bed section during a 1-year period. Patient use of care was followed fo…
Agreement Between Administrative Data and Patients’ Self-Reports of Race/Ethnicity
Objectives. We examined agreement of administrative data with self-reported race/ethnicity and identified correlates of agreement. Methods. We used Veterans Affairs administrative data and VA 1999 Large Health survey race/ethnicity data. Results. Relatively low rates of agreement (approximately 60%) between data sources were largely the result of administrative data from patients whose race/ethnicity was unknown, with least agreement for Native A…
Private Health Insurance and Veterans Use of Veterans Affairs Care
OBJECTIVES: This study examined the effect of private health insurance on the use of medical, surgical, psychiatric, and addiction services for patients eligible for publicly supported care. METHODS: The authors assembled administrative databases describing 350,000 noninstitutionalized veterans who had been discharged from a Veterans Affairs (VA) inpatient medicine or surgery bed section during a 1-year period. Patient use of care was followed fo…
More or Less
OBJECTIVE: To examine past comparisons of the costs of the Veterans Health Administration (VA) and of non-VA providers to determine lessons and data requirements for future cost comparisons, particularly those assessing VA efficiency and to determine whether VA should purchase care from non-VA providers. CONCEPTUAL FRAMEWORK: Over the past two decades, researchers have tried to establish how VA costs compare to those of non-VA health care deliver…
Agreement Between Administrative Data and Patients’ Self-Reports of Race/Ethnicity
Objectives. We examined agreement of administrative data with self-reported race/ethnicity and identified correlates of agreement. Methods. We used Veterans Affairs administrative data and VA 1999 Large Health survey race/ethnicity data. Results. Relatively low rates of agreement (approximately 60%) between data sources were largely the result of administrative data from patients whose race/ethnicity was unknown, with least agreement for Native A…
What Would VA Nursing Home Care Cost? Methods for Estimating Private Sector Payments
OBJECTIVES: To describe the methods used to validate Veterans Health Administration (VA) nursing home acuity data and estimate hypothetical payments for nursing home patients in VA-based and community-based units. METHODS: For a sample of VA-based and community-based nursing home patients at six sites, auditors validated the resource utilization classifications from the most recent complete full or quarterly assessments. Scores were averaged to o…
Evaluating VA Patient-Level Expenditures
OBJECTIVES: To make preliminary comparisons of Veterans Health Administration (VA) Decision Support System (DSS) patient-level cost information with Medicare allowable reimbursements. METHODS: For six VA facilities in the Evaluating VA Costs study for federal fiscal year 1999, DSS cost estimates for outpatient inguinal hernia and cataract operations and inpatient stays for chronic obstructive pulmonary disease, simple pneumonia, diabetes, and det…
Estimating Private Sector Values for VA Health Care
OBJECTIVES: To provide an overview of methods used to establish what taxpayer costs would be if all Veterans Health Administration (VA) patient care were paid for by the federal government but provided in the private sector. METHODS: Study assumptions included (1) that there would be a hypothetical policy change to pay for VA care through a Medicare-based fee-for-service program, (2) that the VA coverage benefit would not change, (3) that practic…
Hospitals as Multiproduct Firms
From the VA Boston Healthcare System, Boston, Massachusetts. Reprints: Ann Hendricks, PhD, VA Boston HCS (152H), 150 S. Huntington Ave, Boston, MA 02130. E-mail: [email protected]
Psychiatric Diagnoses and Neurobehavioral Symptom Severity among OEF/OIF VA Patients with Deployment-Related Traumatic Brain Injury
Anticipating the Traumatic Brain Injury–Related Health Care Needs of Women Veterans After the Department of Defense Change in Combat Assignment Policy
Medicine (7 works) · Health care (5 works) · Healthcare Policy and Management (5 works) · Primary Care and Health Outcomes (5 works) · Business (4 works) · Emergency Medicine (3 works) · Finance (3 works) · Finance (3 works) · Medical emergency (3 works) · Veterans Affairs (3 works)