|
1
|
Park J. Medicaid managed care enrollments and potentially preventable admissions: An analysis of adult Medicaid recipients in Florida. INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT 2021. [DOI: 10.1080/20479700.2019.1692994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Jungwon Park
- Department of Public Administration, Andong National University, Andong, Gyeongsangbuk-do, Korea
| |
Collapse
|
|
2
|
Sato H. Process innovation and inter-hospital competition. INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT 2020. [DOI: 10.1080/20479700.2020.1752991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Hideki Sato
- International College of Arts and Sciences, Department of International Liberal Arts, Graduate School of Humanities and Social Sciences, Fukuoka Women’s University, Fukuoka, Japan
| |
Collapse
|
|
3
|
Shenoy AG. DSRIP's innovation and collaboration in population health management: A cross-sectional segmented time series model. Health Serv Manage Res 2019; 33:2-12. [PMID: 31553240 DOI: 10.1177/0951484819868679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Texas Medicaid Section 1115 waiver approved Delivery System Reform Incentive Payment (DSRIP) program has four categories, namely infrastructure development, program innovation and redesign, reporting of quality improvement outcomes, and population health improvement. A metric of the fourth category, preventable hospitalization rate, was analyzed for a set of eight diagnostic conditions to assess the impact of DSRIP on participating- and non-participating hospitals over two time periods, pre-DSRIP and post-DSRIP, with the help of a cross-sectional segmented time series regression model. Texas Healthcare Information Collection database was leveraged to obtain preventable hospitalization rate data. The dependent variables were preventable hospitalization rates of eight program-specified conditions and the independent variables were time, intervention, and post-implementation intervention. The overall combined preventable hospitalization rate for DSRIP hospitals was observed to decrease by 25.73%, whereas the overall combined preventable hospitalization rate for non-DSRIP hospitals was observed to increase by 37.57%. DSRIP hospitals had invested in coordinating healthcare projects and were subsequently reimbursed by the state for healthcare improvements. The implementation of DSRIP may have had the capacity to decrease preventable hospitalization rates in regions wherein its adoption may have improved the health of the population.
Collapse
|