Kamarudin, Mohd Kamarulariffin and Ai, Calyn Tan Jen and Zaharan, Nur Lisa and Yahya, Abqariyah (2022) Predicting acute myocardial infarction (AMI) 30-days mortality: Using standardised mortality ratio (SMR) as the hospital performance measure. International Journal of Medical Informatics, 168. ISSN 1386-5056, DOI https://doi.org/10.1016/j.ijmedinf.2022.104865.
Full text not available from this repository.Abstract
Background: A standardised mortality ratio (SMR) is the hospital observed mortality divided by its predicted mortality and has been used as an indicator to monitor hospital performance.Objectives: This study developed a model that predicted 30-day mortality for acute myocardial infarction (AMI) and compared the SMR among 41 Malaysian public hospitals using statistical process control charts.Methods & results: Data from referral centres and specialist hospitals with cardiology services were analysed. Both referral centres and specialist hospitals had comparable mortality, except for Hospitals A and B, which the study considered outliers. Two-thirds of the remaining hospitals had an SMR of above one (SMR 1.05-1.51), but the indices were still within the expected variations.Conclusion: The SMR coupled with a funnel plot and variable life adjusted display (VLAD) can identify hospitals with potentially higher than expected mortality rates.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | In-hospital mortality; Acute myocardial infarction; Standardised mortality; Funnel plot; Variable life-adjusted display |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
| Divisions: | Faculty of Medicine Faculty of Medicine > Social & Preventive Medicine |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 14 Nov 2023 03:15 |
| Last Modified: | 14 Nov 2023 03:15 |
| URI: | http://eprints.um.edu.my/id/eprint/40726 |
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