Havranek, Michael M; Dahlem, Yuliya; Bilger, Selina; Rüter, Florian; Ehbrecht, Daniela; Oliveira, Leonel; Moos, Rudolf M; Westerhoff, Christian; Gemperli, Armin; Beck, Thomas (2024). Validity of different algorithmic methods to identify hospital readmissions from routinely coded medical data. (In Press). Journal of Hospital Medicine Wiley 10.1002/jhm.13468
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BACKGROUND
Hospital readmission rates are used for quality and pay-for-performance initiatives. To identify readmissions from administrative data, two commonly employed methods are focusing either on unplanned readmissions (used by the Centers for Medicare & Medicaid Services, CMS) or potentially avoidable readmissions (used by commercial vendors such as SQLape or 3 M). However, it is not known which of these methods has higher criterion validity and can more accurately identify actually avoidable readmissions.
OBJECTIVES
A manual record review based on data from seven hospitals was used to compare the validity of the methods by CMS and SQLape.
METHODS
Seven independent reviewers reviewed 738 single inpatient stays. The sensitivity, specificity, positive predictive value (PPV), and F1 score were examined to characterize the ability of an original CMS method, an adapted version of the CMS method, and the SQLape method to identify unplanned, potentially avoidable, and actually avoidable readmissions.
RESULTS
Both versions of the CMS method had greater sensitivity (92/86% vs. 62%) and a higher PPV (84/91% vs. 71%) than the SQLape method, in terms of identifying their outcomes of interest (unplanned vs. potentially avoidable readmissions, respectively). To distinguish actually avoidable readmissions, the two versions of the CMS method again displayed higher sensitivity (90/85% vs. 66%), although the PPV did not differ significantly between the different methods.
CONCLUSIONS
Thus, the CMS method has both higher criterion validity and greater sensitivity for identifying actually avoidable readmissions, compared with the SQLape method. Consequently, the CMS method should primarily be used for quality initiatives.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Clinic of General Internal Medicine |
UniBE Contributor: |
Beck, Thomas A. |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1553-5606 |
Publisher: |
Wiley |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
29 Jul 2024 14:23 |
Last Modified: |
29 Jul 2024 14:32 |
Publisher DOI: |
10.1002/jhm.13468 |
PubMed ID: |
39051630 |
BORIS DOI: |
10.48350/199305 |
URI: |
https://boris.unibe.ch/id/eprint/199305 |