Judith A Lucas
Biographic Data
| ID | 5544866 |
|---|---|
| NAME | Judith A Lucas |
| GIVEN NAMES | Judith A |
| FAMILY NAME | Lucas |
| SIGNATURE | LUCAS J A |
| AFFILIATIONS | Rutgers, the State University of New Jersey |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 0 |
Algorithm for Identifying Nursing Home Days Using Medicare Claims and Minimum Data Set Assessment Data
BACKGROUND: No consensus exists about methods of measuring nursing home (NH) length-of-stay for Medicare beneficiaries to identify long-stay and short-stay NH residents. OBJECTIVES: To develop an algorithm measuring NH days of stay to differentiate between residents with long and short stay (≥101 and <101 consecutive days, respectively) and to compare the algorithm with Minimum Data Set (MDS) alone and Medicare claims data. RESEARCH DESIGN: We li…
Race, Education, and the Treatment of Depression in Nursing Homes
Objectives: We investigate, among older adult nursing home residents diagnosed with depression, whether depression treatment differs by race and schooling, and whether differences by schooling differ by race. We examine whether Blacks and less educated residents are placed in facilities providing less treatment, and whether differences reflect disparities in care. Method: Data from the 2006 Nursing Home Minimum Data Set for 8 states ( n = 124,431…
Assessing Medication Exposures and Outcomes in the Frail Elderly
BACKGROUND: Large administrative datasets such as Medicare and Medicaid claims have much potential utility in clinical and comparative effectiveness (CE) studies. Among their advantages are the inclusion of clinically heterogeneous populations, without exclusions typical in clinical trials; the ability to study extremely large study populations with power to examine differential outcomes across individual drugs, treatment effect modification, and…
No prominent works on this page.
Assessing Medication Exposures and Outcomes in the Frail Elderly
BACKGROUND: Large administrative datasets such as Medicare and Medicaid claims have much potential utility in clinical and comparative effectiveness (CE) studies. Among their advantages are the inclusion of clinically heterogeneous populations, without exclusions typical in clinical trials; the ability to study extremely large study populations with power to examine differential outcomes across individual drugs, treatment effect modification, and…
Race, Education, and the Treatment of Depression in Nursing Homes
Objectives: We investigate, among older adult nursing home residents diagnosed with depression, whether depression treatment differs by race and schooling, and whether differences by schooling differ by race. We examine whether Blacks and less educated residents are placed in facilities providing less treatment, and whether differences reflect disparities in care. Method: Data from the 2006 Nursing Home Minimum Data Set for 8 states ( n = 124,431…
Algorithm for Identifying Nursing Home Days Using Medicare Claims and Minimum Data Set Assessment Data
BACKGROUND: No consensus exists about methods of measuring nursing home (NH) length-of-stay for Medicare beneficiaries to identify long-stay and short-stay NH residents. OBJECTIVES: To develop an algorithm measuring NH days of stay to differentiate between residents with long and short stay (≥101 and <101 consecutive days, respectively) and to compare the algorithm with Minimum Data Set (MDS) alone and Medicare claims data. RESEARCH DESIGN: We li…
Medicine (3 works) · Minimum Data Set (3 works) · Nursing (3 works) · Nursing homes (3 works) · Demography (2 works) · Environmental health (2 works) · Geriatric Care and Nursing Homes (2 works) · Gerontology (2 works) · Health care (2 works) · Medicaid (2 works)