000			nab a22 7a 4500
999			_c16404 _d16404
003			PC16404
005			20210615124555.0
008			210518b xxu||||| |||| 00| 0 eng d
040			_cH12O
041			_aspa
100			_92830 _aParés Pollán, Laura _eBioquímica clínica
100			_92831 _aGonzález Quintana, Adrián _eBioquímica clínica
100			_92832 _aDocampo Cordeiro, Jorge _eBioquímica clínica
100			_9822 _aVargas Gallego, Carmela _eBioquímica Clínica
100			_92833 _aGarcía Alvárez, G _eDirección Médica de Continuidad Asistencial
100			_92834 _aRamos Rodríguez, V _eSubdirección Médica de Servicios Centrales
100			_92835 _aDíaz Rubio-Garcia, M. P. _eBioquímica Clínica
245	0	0	_aUtilidad del análisis modal de fallos y efectos para la detección de errores en el transporte de muestras al laboratorio clínico. _h[artículo]
260			_bRevista de calidad asistencial : órgano de la Sociedad Española de Calidad Asistencial, _c2014
300			_a29(4):197-203.
500			_aFormato Vancouver: Parés-Pollán L, González-Quintana A, Docampo-Cordeiro J, Vargas-Gallego C, García-Álvárez G, Ramos-Rodríguez V et al. Utilidad del análisis modal de fallos y efectos para la detección de errores en el transporte de muestras al laboratorio clínico. Rev Calid Asist. 2014 Jul-Aug;29(4):197-203.
501			_aPMID: 24725518
504			_aContiene 17 referencias
520			_aObjective: Owing to the decrease in values of biochemical glucose parameter in some samples from external extraction centres, and the risk this implies to patient safety; it was decided to apply an adaptation of the «Health Services Failure Mode and Effects Analysis» (HFMEA) to manage risk during the pre-analytical phase of sample transportation from external centres to clinical laboratories. Materials and methods: A retrospective study of glucose parameter was conducted during two consecutive months. The analysis was performed in its different phases: to define the HFMEA topic, assemble the team, graphically describe the process, conduct a hazard analysis, design the intervention and indicators, and identify a person to be responsible for ensuring completion of each action. Results: The results of glucose parameter in one of the transport routes, were significantly lower (P=.006). The errors and potential causes of this problem were analysed, and criteria of criticality and detectability were applied (score≥8) in the decision tree. It was decided to: develop a document management system; reorganise extractions and transport routes in some centres; quality control of the sample container ice-packs, and the time and temperature during transportation. Conclusions: This work proposes quality indicators for controlling time and temperature of transported samples in the pre-analytical phase. Periodic review of certain laboratory parameters can help to detect problems in transporting samples. The HFMEA technique is useful for the clinical laboratory.
710			_9317 _aServicio de Bioquímica Clínica
710			_91803 _aDirección-Gerencia
856			_uhttp://pc-h12o-es.m-hdoct.a17.csinet.es/pdf/pc/1/pc16404.pdf _ySolicitar documento
942			_2ddc _cART _n0