000			nab a22 7a 4500
999			_c17567 _d17567
003			PC17567
005			20230717114843.0
008			230714b xxu||||| |||| 00| 0 eng d
040			_cH12O
041			_aspa
100			_93311 _aBusto Bonifaz, Sebastián del _eMedicina Preventiva
100			_92121 _aBernal Sobrino, José Luis _eGestión
245	0	0	_aEvaluación de tres sistemas de ajuste de riesgo como predictores del consumo de medicamentos y productos sanitarios en unidades polivalentes de hospitalización. _h[artículo]
260			_bRevista española de salud pública, _c2016
300			_a90:e1-e10.
500			_aFormato Vancouver: Mera Flores AM, Del Busto Bonifaz S, Bernal Sobrino JL. Evaluación de tres sistemas de ajuste de riesgo como predictores del consumo de medicamentos y productos sanitarios en unidades polivalentes de hospitalización Rev Esp Salud Publica. 2016 Sep 26;90:e1-e10.
501			_aPMID: 27665762
504			_aContiene 41 referencias
520			_aObjective: The use of medicines and medical supplies is a significant component of health expenditure, linked to healthcare quality and efficient resource allocation. This study aimed to evaluate three risk adjustment systems predictive power of the consumption of medicines and medical supplies at polyvalent hospitalization units (PHU). Methods: This is an observational, retrospective study of the resources utilization in PHU between 2010 and 2013. We fitted linear regression models and evaluated their goodness of fit for three different predictors: Charlson Comorbidity Index (CCI), All Patients DRG (AP-DRG) and All Patients Refined DRG (APR-DRG) relative weights, and each one of them corrected by the length of stay. We analyzed hospitalization episodes included in the Minimum Basic Data Set (MBDS) from Fuenlabrada University Hospital. Data about the use of medicines and medical supplies were obtained from pharmacy and supply chain management information systems. Results: Significant correlation was found between the annual consumption and the predictors considered (r=0,879 for CCI; r=0,622 for AP-DRG and r=0,514 for APR-DRG). The CCI corrected by length of stay was the variable that best fit presented (Ṝ2=0,863). Conclusions: The best predictive ability of CCI indicates that resource utilization depends more of the concurrent presence of additional pathology than the case mix calculated for iso-resource groups.
710			_982 _aServicio de Medicina Preventiva y Salud Pública
710			_91809 _aGestión de Pacientes y Sistemas de Información
856			_uhttp://pc-h12o-es.m-hdoct.a17.csinet.es/pdf/pc/1/pc17567.pdf _ySolicitar documento
942			_2ddc _cART _n0