Publicação
Dynamic resectorization to improve utility of healthcare systems
| dc.contributor.author | Teymourifar, Aydin | |
| dc.contributor.author | Trindade, Maria A. M. | |
| dc.date.accessioned | 2024-07-15T10:25:32Z | |
| dc.date.available | 2024-07-15T10:25:32Z | |
| dc.date.issued | 2024-12 | |
| dc.description.abstract | Balancing is an essential challenge in healthcare systems that requires effective strategies. This study aims to address this crucial issue by suggesting a practical approach. We show the potential of balancing a regional healthcare system to improve its utility. We consider a regional healthcare system comprising multiple hospitals with different sizes, capacities, quality of service, and accessibility. We define a utility function for the system based on the sectorization concept, which endeavors to form a balance between hospitals in terms of essential outputs such as waiting times and demands. The dynamic nature of the system means that this balance degrades over time, necessitating periodic sectorization, which is called resectorization. Our methodology stands out for incorporating resectorization as a dynamic strategy, enabling more flexible and responsive adaptations to continuously changing healthcare needs. Unlike previous studies, based on a system-oriented approach, our resectorization scenarios include the periodic closure of some hospitals. This enables us to enhance both the capacity and quality of healthcare facilities. Furthermore, in contrast to other studies, we investigate the states of diminishing demand throughout the resectorization process. To provide empirical insights, we conduct a simulation using data from a real-world case study. Our analysis spans multiple time periods, enabling us to dynamically quantify the utility of the healthcare system. The numerical findings demonstrate that substantial utility improvements are attainable through the defined scenarios. The study suggests a practical solution to the critical challenge of balancing issues in regional healthcare systems. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1186/s41043-024-00594-4 | pt_PT |
| dc.identifier.eid | 85197478839 | |
| dc.identifier.issn | 1606-0997 | |
| dc.identifier.pmc | PMC11229025 | |
| dc.identifier.pmid | 38970138 | |
| dc.identifier.uri | http://hdl.handle.net/10400.14/45768 | |
| dc.identifier.wos | 001262988700002 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Balancing | pt_PT |
| dc.subject | Healthcare system | pt_PT |
| dc.subject | Hospitals’ closure | pt_PT |
| dc.subject | Loss of demand | pt_PT |
| dc.subject | Resectorization | pt_PT |
| dc.subject | Simulation | pt_PT |
| dc.subject | Utility | pt_PT |
| dc.title | Dynamic resectorization to improve utility of healthcare systems | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 1 | pt_PT |
| oaire.citation.title | Journal of Health, Population and Nutrition | pt_PT |
| oaire.citation.volume | 43 | pt_PT |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |