Jacqueline S Zinn
Biographic Data
| ID | 5541456 |
|---|---|
| NAME | Jacqueline S Zinn |
| GIVEN NAMES | Jacqueline S |
| FAMILY NAME | Zinn |
| SIGNATURE | ZINN J S |
| AFFILIATIONS | Temple University |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1993 |
| LATEST PUBLICATION YEAR | 2008 |
| H-INDEX | 0 |
Does Risk Adjustment of the CMS Quality Measures for Nursing Homes Matter
BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) publish a report card for nursing homes with 19 clinical quality measures (QMs). These measures include minimal risk adjustment. OBJECTIVES: To develop QMs with more extensive risk adjustment and to investigate the impact on quality rankings. RESEARCH DESIGN: Retrospective analysis of individual level data reported in the Minimum Data Set (MDS). Random effect logistic models were us…
Separate And Unequal
We describe the racial segregation in U.S. nursing homes and its relationship to racial disparities in the quality of care. Nursing homes remain relatively segregated, roughly mirroring the residential segregation within metropolitan areas. As a result, blacks are much more likely than whites to be located in nursing homes that have serious deficiencies, lower staffing ratios, and greater financial vulnerability. Changing health care providers' b…
Hospital Inefficiency
The primary objective of this study is to assess whether systematic differences in inefficiency are associated with hospital membership in different types of systems. We employed the Battese/Coelli simultaneous stochastic frontier analysis (SFA) technique to estimate hospital cost inefficiency. Mean estimated inefficiency was 8.42%. Membership in different types of systems was related to estimated cost inefficiency (p < .05). Compared to hospital…
The Effects of Ownership, Operating Environment, and Strategic Choices on Nursing Home Efficiency
This article reports on a study of the labor efficiency of 461 nursing homes located in Pennsylvania. Data envelopment analysis was used to estimate efficiency scores. Tobit equations were estimated for the entire sample and for subsamples consisting of for-profit (FP) and not-for-profit (NFP) nursing homes. The authors found that the major factors explaining efficiency were managerial and environmental characteristics such as ownership, occupanc…
Medicare-certified home health services
The number of Medicare-certified home health agencies nearly doubled from 1980 to 1990. Using Health Care Financing Administration data, this study documented national and regional patterns of entry and exist by Medicare home health providers from 1980 to 1990. Nationally, agency origination rates accelerated during the early 1980s and then dropped abruptly in the second half of the decade. The proprietary sector, accounting for approximately 42%…
Variations in the Outcomes of Care Provided in Pennsylvania Nursing Homes
This research study utilizes indicators from federal and state surveys to evaluate variation in outcomes in 438 Medicare certified skilled nursing care facilities in Pennsylvania. First, a standardization function adjusting for patient characteristics known to influence outcomes was developed and estimated. The relationships between organizational and environmental characteristics and the chosen outcome indicators (i.e., differences between the a…
No prominent works on this page.
Variations in the Outcomes of Care Provided in Pennsylvania Nursing Homes
This research study utilizes indicators from federal and state surveys to evaluate variation in outcomes in 438 Medicare certified skilled nursing care facilities in Pennsylvania. First, a standardization function adjusting for patient characteristics known to influence outcomes was developed and estimated. The relationships between organizational and environmental characteristics and the chosen outcome indicators (i.e., differences between the a…
Medicare-certified home health services
The number of Medicare-certified home health agencies nearly doubled from 1980 to 1990. Using Health Care Financing Administration data, this study documented national and regional patterns of entry and exist by Medicare home health providers from 1980 to 1990. Nationally, agency origination rates accelerated during the early 1980s and then dropped abruptly in the second half of the decade. The proprietary sector, accounting for approximately 42%…
The Effects of Ownership, Operating Environment, and Strategic Choices on Nursing Home Efficiency
This article reports on a study of the labor efficiency of 461 nursing homes located in Pennsylvania. Data envelopment analysis was used to estimate efficiency scores. Tobit equations were estimated for the entire sample and for subsamples consisting of for-profit (FP) and not-for-profit (NFP) nursing homes. The authors found that the major factors explaining efficiency were managerial and environmental characteristics such as ownership, occupanc…
Separate And Unequal
We describe the racial segregation in U.S. nursing homes and its relationship to racial disparities in the quality of care. Nursing homes remain relatively segregated, roughly mirroring the residential segregation within metropolitan areas. As a result, blacks are much more likely than whites to be located in nursing homes that have serious deficiencies, lower staffing ratios, and greater financial vulnerability. Changing health care providers' b…
Hospital Inefficiency
The primary objective of this study is to assess whether systematic differences in inefficiency are associated with hospital membership in different types of systems. We employed the Battese/Coelli simultaneous stochastic frontier analysis (SFA) technique to estimate hospital cost inefficiency. Mean estimated inefficiency was 8.42%. Membership in different types of systems was related to estimated cost inefficiency (p < .05). Compared to hospital…
Does Risk Adjustment of the CMS Quality Measures for Nursing Homes Matter
BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) publish a report card for nursing homes with 19 clinical quality measures (QMs). These measures include minimal risk adjustment. OBJECTIVES: To develop QMs with more extensive risk adjustment and to investigate the impact on quality rankings. RESEARCH DESIGN: Retrospective analysis of individual level data reported in the Minimum Data Set (MDS). Random effect logistic models were us…
Medicine (5 works) · Economics (4 works) · Geriatric Care and Nursing Homes (4 works) · Health care (4 works) · Nursing (4 works) · Nursing homes (4 works) · Economic growth (3 works) · Environmental health (3 works) · Healthcare Policy and Management (3 works) · Statistics (3 works)