A consensus-based decision model for assessing the health systems
Many countries and international organisations have been developing health system performance assessment frameworks and indicators to support healthcare management and inform public health policy. Effectiveness, accessibility, safety and patient-centeredness were four dimensions that were most commo...
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| Veröffentlicht in: | PloS one 2020-08, Vol.15 (8), p.e0237892-e0237892 |
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| creator | Xu, Yang Lai, Kin Keung Leung, W.K.J |
| description | Many countries and international organisations have been developing health system performance assessment frameworks and indicators to support healthcare management and inform public health policy. Effectiveness, accessibility, safety and patient-centeredness were four dimensions that were most commonly measured. This paper develops a new consensus-based decision model to assess the health systems, in which different stakeholders of healthcare systems are identified by different decision approaches, i.e., the coefficient variation approach, the Shannon entropy approach and the distance-based approach, respectively. The consensus result is obtained by minimizing the total deviation from the ideal point. A numerical illustration with simulated data is presented to show the effectiveness of our model. |
| doi_str_mv | 10.1371/journal.pone.0237892 |
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Effectiveness, accessibility, safety and patient-centeredness were four dimensions that were most commonly measured. This paper develops a new consensus-based decision model to assess the health systems, in which different stakeholders of healthcare systems are identified by different decision approaches, i.e., the coefficient variation approach, the Shannon entropy approach and the distance-based approach, respectively. The consensus result is obtained by minimizing the total deviation from the ideal point. A numerical illustration with simulated data is presented to show the effectiveness of our model.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0237892</identifier><identifier>PMID: 32810150</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Biology and Life Sciences ; Coefficient of variation ; Computer simulation ; Decision making ; Entropy ; Entropy (Information theory) ; Evaluation ; Health care ; Health care industry ; Health care policy ; Health policy ; Mathematical analysis ; Medical care quality ; Medicine and Health Sciences ; Methods ; Patient safety ; Performance assessment ; Performance evaluation ; Performance-based assessment ; Physical Sciences ; Public health ; Quality ; Social Sciences</subject><ispartof>PloS one, 2020-08, Vol.15 (8), p.e0237892-e0237892</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Xu et al. 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Dragan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A consensus-based decision model for assessing the health systems</atitle><jtitle>PloS one</jtitle><date>2020-08-18</date><risdate>2020</risdate><volume>15</volume><issue>8</issue><spage>e0237892</spage><epage>e0237892</epage><pages>e0237892-e0237892</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Many countries and international organisations have been developing health system performance assessment frameworks and indicators to support healthcare management and inform public health policy. 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| subjects | Biology and Life Sciences Coefficient of variation Computer simulation Decision making Entropy Entropy (Information theory) Evaluation Health care Health care industry Health care policy Health policy Mathematical analysis Medical care quality Medicine and Health Sciences Methods Patient safety Performance assessment Performance evaluation Performance-based assessment Physical Sciences Public health Quality Social Sciences |
| title | A consensus-based decision model for assessing the health systems |
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