Jayasree Basu
Biographic Data
| ID | 5537042 |
|---|---|
| NAME | Jayasree Basu |
| GIVEN NAMES | Jayasree |
| FAMILY NAME | Basu |
| SIGNATURE | BASU J |
| AFFILIATIONS | Agency for Healthcare Research and Quality |
| ORCID | 0000-0002-1494-9773 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
Racial/Ethnic Disparities in Readmissions in US Hospitals
We examine differences in rates of 30-day readmissions across patients by race/ethnicity and the extent to which these differences were moderated by insurance coverage. We use hospital discharge data of patients in the 18 years and above age group for 5 US states, California, Florida, Missouri, New York, and Tennessee for 2009, the latest year prior to the start of Centers for Medicare & Medicaid Services' Hospital Compare program of public repor…
Changes in Case-Mix and Health Outcomes of Medicare Fee-for-Service Beneficiaries and Managed Care Enrollees During the Years 1992–2011
BACKGROUND: Recent studies suggest that managed care enrollees (MCEs) and fee-for-service beneficiaries (FFSBs) have become similar in case-mix over time; but comparisons of health outcomes have yielded mixed results. OBJECTIVE: To examine changes in differentials between MCEs and FFSBs both in case-mix and health outcomes over time. DESIGN: Temporal study of the linked Health and Retirement Study (HRS) and Medicare data, comparing case-mix and h…
The ACA’s Zero Cost-Sharing Mandate and Trends in Out-of-Pocket Expenditures on Well-Child and Screening Mammography Visits
BACKGROUND: Starting in September of 2010, the Patient Protection and Affordable Care Act required most health insurance policies to cover evidence-based preventive care with no cost-sharing (no copays, coinsurance, or deductibles). It is unknown, however, whether declines in out-of-pocket costs for preventive services are large enough to prompt increases in utilization, the ultimate goal of the policy. METHODS: In this study, we use a nationally…
Research on Multiple Chronic Conditions
In this special issue of Medical Care, researchers from the Multiple Chronic Conditions (MCC) Research Network, funded by the Agency for Healthcare Research and Quality (AHRQ), share important findings and suggest topics for future research on persons with MCC. This issue of Medical Care includes a theoretical framework for conducting research on MCC, a review of existing MCC research methods and methodological gaps to be addressed, and the resul…
Impact of Local Resources on Hospitalization Patterns of Medicare Beneficiaries and Propensity to Travel Outside Local Markets
PURPOSE: To examine how local health care resources impact travel patterns of patients age 65 and older across the rural urban continuum. METHODS: Information on inpatient hospital discharges was drawn from complete 2004 hospital discharge files from the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) for New York, California, and Florida, and the 2003 hospital discharge file for Pennsylvania. The study population w…
Illness severity and propensity to travel along the urban–rural continuum
Primary Care, HMO Enrollment, and Hospitalization for Ambulatory Care Sensitive Conditions
OBJECTIVE: To examine the association of primary care availability, HMO enrollment, and other person and location variables with potentially preventable hospitalization for adults in New York State, compared with other types of hospitalization. DATA SOURCES/STUDY SETTING: Hospital discharges of New York residents in the age group 20-64 hospitalized either in New York or in three contiguous states: New Jersey, Pennsylvania, or Connecticut using 19…
Out‐of‐Area Travel From Rural and Urban Counties
Rural patients who are admitted to hospitals outside their residence county or who travel great distances for hospitalization deprive local rural hospitals of revenue. To provide more information about such rural residents, we studied their characteristics compared to those admitted in the same county. Characteristics studied included illness severity, demographics and county resources. To validate the findings and to provide a different analytic…
Out‐of‐Area Travel From Rural and Urban Counties
Rural patients who are admitted to hospitals outside their residence county or who travel great distances for hospitalization deprive local rural hospitals of revenue. To provide more information about such rural residents, we studied their characteristics compared to those admitted in the same county. Characteristics studied included illness severity, demographics and county resources. To validate the findings and to provide a different analytic…
Primary Care, HMO Enrollment, and Hospitalization for Ambulatory Care Sensitive Conditions
OBJECTIVE: To examine the association of primary care availability, HMO enrollment, and other person and location variables with potentially preventable hospitalization for adults in New York State, compared with other types of hospitalization. DATA SOURCES/STUDY SETTING: Hospital discharges of New York residents in the age group 20-64 hospitalized either in New York or in three contiguous states: New Jersey, Pennsylvania, or Connecticut using 19…
Illness severity and propensity to travel along the urban–rural continuum
Impact of Local Resources on Hospitalization Patterns of Medicare Beneficiaries and Propensity to Travel Outside Local Markets
PURPOSE: To examine how local health care resources impact travel patterns of patients age 65 and older across the rural urban continuum. METHODS: Information on inpatient hospital discharges was drawn from complete 2004 hospital discharge files from the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) for New York, California, and Florida, and the 2003 hospital discharge file for Pennsylvania. The study population w…
Research on Multiple Chronic Conditions
In this special issue of Medical Care, researchers from the Multiple Chronic Conditions (MCC) Research Network, funded by the Agency for Healthcare Research and Quality (AHRQ), share important findings and suggest topics for future research on persons with MCC. This issue of Medical Care includes a theoretical framework for conducting research on MCC, a review of existing MCC research methods and methodological gaps to be addressed, and the resul…
The ACA’s Zero Cost-Sharing Mandate and Trends in Out-of-Pocket Expenditures on Well-Child and Screening Mammography Visits
BACKGROUND: Starting in September of 2010, the Patient Protection and Affordable Care Act required most health insurance policies to cover evidence-based preventive care with no cost-sharing (no copays, coinsurance, or deductibles). It is unknown, however, whether declines in out-of-pocket costs for preventive services are large enough to prompt increases in utilization, the ultimate goal of the policy. METHODS: In this study, we use a nationally…
Racial/Ethnic Disparities in Readmissions in US Hospitals
We examine differences in rates of 30-day readmissions across patients by race/ethnicity and the extent to which these differences were moderated by insurance coverage. We use hospital discharge data of patients in the 18 years and above age group for 5 US states, California, Florida, Missouri, New York, and Tennessee for 2009, the latest year prior to the start of Centers for Medicare & Medicaid Services' Hospital Compare program of public repor…
Changes in Case-Mix and Health Outcomes of Medicare Fee-for-Service Beneficiaries and Managed Care Enrollees During the Years 1992–2011
BACKGROUND: Recent studies suggest that managed care enrollees (MCEs) and fee-for-service beneficiaries (FFSBs) have become similar in case-mix over time; but comparisons of health outcomes have yielded mixed results. OBJECTIVE: To examine changes in differentials between MCEs and FFSBs both in case-mix and health outcomes over time. DESIGN: Temporal study of the linked Health and Retirement Study (HRS) and Medicare data, comparing case-mix and h…
Healthcare Policy and Management (7 works) · Medicine (7 works) · Health care (5 works) · Business (3 works) · Chronic Disease Management Strategies (3 works) · Demography (3 works) · Economic growth (3 works) · Family medicine (3 works) · Health Systems, Economic Evaluations, Quality of Life (3 works) · Logistic regression (3 works)