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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Li, Shu-Xia Wang, Yongfei Lama, Sonam D. Schwartz, Jennifer Herrin, Jeph Mei, Hao Lin, Zhenqiu Bernheim, Susannah M. Spivack, Steven Krumholz, Harlan M. Suter, Lisa G. |
| Abstract | Background To estimate, prior to finalization of claims, the national monthly numbers of admissions and rates of 30-day readmissions and post-discharge observation-stays for Medicare fee-for-service beneficiaries hospitalized with acute myocardial infarction (AMI), heart failure (HF), or pneumonia. Methods The centers for Medicare & Medicaid Services (CMS) Integrated Data Repository, including the Medicare beneficiary enrollment database, was accessed in June 2015, February 2017, and February 2018. We evaluated patterns of delay in Medicare claims accrual, and used incomplete, non-final claims data to develop and validate models for real-time estimation of admissions, readmissions, and observation stays. Results These real-time reporting models accurately estimate, within 2 months from admission, the monthly numbers of admissions, 30-day readmission and observation-stay rates for patients with AMI, HF, or pneumonia. Conclusions This work will allow CMS to track the impact of policy decisions in real time and enable hospitals to better monitor their performance nationally. |
| Related Links | https://bmchealthservres.biomedcentral.com/counter/pdf/10.1186/s12913-020-05611-w.pdf |
| Ending Page | 9 |
| Page Count | 9 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14726963 |
| DOI | 10.1186/s12913-020-05611-w |
| Journal | BMC Health Services Research |
| Issue Number | 1 |
| Volume Number | 20 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2020-08-10 |
| Access Restriction | Open |
| Subject Keyword | Public Health Health Administration Health Informatics Nursing Research Real-time reporting Prediction models Medicare claims data Readmission Observation stay |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Policy |
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