FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204999748> ?p ?o ?g. }

• W3204999748 abstract "In recent years, measuring and evaluating the efficiency of health systems has been explored in the context of seeking resources to ensure the sustainability of 'countries' health and social systems and addressing various crises in the health sector. The study aims to quantify and compare the efficiency of OECD health systems in 2000, 2008, and 2016. The contribution to research in the field of efficiency in the healthcare system can be seen in the application of Dynamic Network Data Envelopment Analysis (DNDEA), which help us to analyse not only the overall efficiency of the healthcare system but analyse the overall efficiency as the result of the efficiencies of individual interconnected areas (public and medical care area). By applying the DNDEA model, we can realise the analysis not only within one year, but we can find out if the measures and improvements taken in the healthcare sector have a positive impact on its efficiency in a later period (eight-year interval).The analysis focuses on assessing the efficiency of the health systems of OECD countries over three periods: 2000, 2008, and 2016. Data for this study were derived from the existing OECD database, which provides aggregated data on OECD countries on a comparable basis. In this way, it was possible to compare different countries whose national health statistics may have their characteristics. The input-oriented Dynamic Network Data Envelopment Analysis model was used for data processing. The efficiency of OECD health systems has been analysed and evaluated comprehensively and also separately in two divisions: public health sub-division and medical care sub-division. The analysis combines the application of conventional and unconventional methods of measuring efficiency in the health sector.The results for the public health sub-division, medical care sub-division and overall health system for OECD countries under the assumption of constant returns to scale indicate that the average overall efficiency was 0.8801 in 2000, 0.8807 in 2008 and 0.8472 in 2016. The results of the input-oriented model with the assumption of constant returns to scale point to the overall average efficiency of health systems at the level of 0.8693 during the period. According to the Malmquist Index results, the OECD countries improved the efficiency over the years, with performance improvements of 19% in the public health division and 8% in the medical care division.The results of the study are beneficial for health policymakers to assess and compare health systems in countries and to develop strategic national and regional health plans. Similarly, the result will support the development of international benchmarks in this area. The issue of health efficiency is an intriguing one that could be usefully explored in further research. A greater focus on combining non-parametric and parametric models could produce interesting findings for further research. The consistency in the publication and updating of the data on health statistics would help us establish a greater degree of accuracy." @default.
• W3204999748 created "2021-10-25" @default.
• W3204999748 creator A5015504924 @default.
• W3204999748 creator A5022067343 @default.
• W3204999748 creator A5069109142 @default.
• W3204999748 date "2021-10-12" @default.
• W3204999748 modified "2023-10-18" @default.
• W3204999748 title "Health system efficiency in OECD countries: dynamic network DEA approach" @default.
• W3204999748 cites W1470953110 @default.
• W3204999748 cites W1603484337 @default.
• W3204999748 cites W1719745682 @default.
• W3204999748 cites W1929747889 @default.
• W3204999748 cites W1964536743 @default.
• W3204999748 cites W1967537161 @default.
• W3204999748 cites W1973144307 @default.
• W3204999748 cites W1980011684 @default.
• W3204999748 cites W1980065840 @default.
• W3204999748 cites W198397868 @default.
• W3204999748 cites W1985759808 @default.
• W3204999748 cites W1994473097 @default.
• W3204999748 cites W2002119333 @default.
• W3204999748 cites W2011217808 @default.
• W3204999748 cites W2017563827 @default.
• W3204999748 cites W2022372919 @default.
• W3204999748 cites W2028313095 @default.
• W3204999748 cites W2043425503 @default.
• W3204999748 cites W2046634811 @default.
• W3204999748 cites W2066523028 @default.
• W3204999748 cites W2071393320 @default.
• W3204999748 cites W2075922543 @default.
• W3204999748 cites W2076452041 @default.
• W3204999748 cites W2081384722 @default.
• W3204999748 cites W2094740596 @default.
• W3204999748 cites W2097173585 @default.
• W3204999748 cites W2100495782 @default.
• W3204999748 cites W2109418035 @default.
• W3204999748 cites W2129763896 @default.
• W3204999748 cites W2133822871 @default.
• W3204999748 cites W2134844544 @default.
• W3204999748 cites W2136211845 @default.
• W3204999748 cites W2149715447 @default.
• W3204999748 cites W2162180338 @default.
• W3204999748 cites W2162958402 @default.
• W3204999748 cites W2276175789 @default.
• W3204999748 cites W2293628229 @default.
• W3204999748 cites W2467657940 @default.
• W3204999748 cites W2471766071 @default.
• W3204999748 cites W2506014243 @default.
• W3204999748 cites W2791828255 @default.
• W3204999748 cites W2795519418 @default.
• W3204999748 cites W2938585618 @default.
• W3204999748 cites W3123380639 @default.
• W3204999748 cites W4205536126 @default.
• W3204999748 cites W4205631241 @default.
• W3204999748 cites W4229919971 @default.
• W3204999748 cites W4235434453 @default.
• W3204999748 cites W4240647338 @default.
• W3204999748 cites W4247851253 @default.
• W3204999748 cites W4248486935 @default.
• W3204999748 cites W4252308592 @default.
• W3204999748 cites W4253446754 @default.
• W3204999748 doi "https://doi.org/10.1186/s13561-021-00337-9" @default.
• W3204999748 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8513208" @default.
• W3204999748 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34642864" @default.
• W3204999748 hasPublicationYear "2021" @default.
• W3204999748 type Work @default.
• W3204999748 sameAs 3204999748 @default.
• W3204999748 citedByCount "26" @default.
• W3204999748 countsByYear W32049997482022 @default.
• W3204999748 countsByYear W32049997482023 @default.
• W3204999748 crossrefType "journal-article" @default.
• W3204999748 hasAuthorship W3204999748A5015504924 @default.
• W3204999748 hasAuthorship W3204999748A5022067343 @default.
• W3204999748 hasAuthorship W3204999748A5069109142 @default.
• W3204999748 hasBestOaLocation W32049997481 @default.
• W3204999748 hasConcept C100001284 @default.
• W3204999748 hasConcept C105795698 @default.
• W3204999748 hasConcept C134560507 @default.
• W3204999748 hasConcept C137992405 @default.
• W3204999748 hasConcept C138816342 @default.
• W3204999748 hasConcept C144133560 @default.
• W3204999748 hasConcept C145642194 @default.
• W3204999748 hasConcept C159110408 @default.
• W3204999748 hasConcept C160735492 @default.
• W3204999748 hasConcept C162324750 @default.
• W3204999748 hasConcept C166957645 @default.
• W3204999748 hasConcept C205649164 @default.
• W3204999748 hasConcept C22088475 @default.
• W3204999748 hasConcept C2779343474 @default.
• W3204999748 hasConcept C2780877353 @default.
• W3204999748 hasConcept C33923547 @default.
• W3204999748 hasConcept C41008148 @default.
• W3204999748 hasConcept C47344431 @default.
• W3204999748 hasConcept C50522688 @default.
• W3204999748 hasConcept C71924100 @default.
• W3204999748 hasConceptScore W3204999748C100001284 @default.
• W3204999748 hasConceptScore W3204999748C105795698 @default.
• W3204999748 hasConceptScore W3204999748C134560507 @default.
• W3204999748 hasConceptScore W3204999748C137992405 @default.
• W3204999748 hasConceptScore W3204999748C138816342 @default.

• next