Unraveling the drivers of regional variation in healthcare spending by analyzing prevalent chronic diseases.
dc.contributor.author | de Vries, Eline F | |
dc.contributor.author | Heijink, Richard | |
dc.contributor.author | Struijs, Jeroen N | |
dc.contributor.author | Baan, Caroline A | |
dc.date.accessioned | 2018-05-27T13:23:58Z | |
dc.date.available | 2018-05-27T13:23:58Z | |
dc.date.issued | 2018-05-03 | |
dc.identifier.citation | Unraveling the drivers of regional variation in healthcare spending by analyzing prevalent chronic diseases. 2018, 18 (1):323 BMC Health Serv Res | en |
dc.identifier.issn | 1472-6963 | |
dc.identifier.pmid | 29724215 | |
dc.identifier.doi | 10.1186/s12913-018-3128-4 | |
dc.identifier.uri | http://hdl.handle.net/10029/621961 | |
dc.description.abstract | To indicate inefficiencies in health systems, previous studies examined regional variation in healthcare spending by analyzing the entire population. As a result, population heterogeneity is taken into account to a limited extent only. Furthermore, it clouds a detailed interpretation which could be used to inform regional budget allocation decisions to improve quality of care of one chronic disease over another. Therefore, we aimed to gain insight into the drivers of regional variation in healthcare spending by studying prevalent chronic diseases. | |
dc.language.iso | en | en |
dc.rights | Archived with thanks to BMC health services research | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Unraveling the drivers of regional variation in healthcare spending by analyzing prevalent chronic diseases. | en |
dc.type | Article | en |
dc.identifier.journal | BMC Health Serv Res 2018; 18(1):323 | en |
refterms.dateFOA | 2018-12-18T14:26:51Z | |
html.description.abstract | To indicate inefficiencies in health systems, previous studies examined regional variation in healthcare spending by analyzing the entire population. As a result, population heterogeneity is taken into account to a limited extent only. Furthermore, it clouds a detailed interpretation which could be used to inform regional budget allocation decisions to improve quality of care of one chronic disease over another. Therefore, we aimed to gain insight into the drivers of regional variation in healthcare spending by studying prevalent chronic diseases. |